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ORCIDYonghong Tian 0001
Yong-Hong Tian 0001
Person information
- affiliation: Peking University, Beijing, School of Electronics Engineering and Computer Science, National Engineering Laboratory for Video Technology, China
- affiliation (PhD 2005): Chinese Academy of Sciences, Institute of Computing Technology, Beijing, China
- affiliation (former): University of Electronic Science and Technology, Chengdu, China
Other persons with the same name
- Yonghong Tian 0002 — Inner Mongolia University of Technology, College of Information Engineering, Hohhot, China
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2020 – today
- 2025
[j133]Zongying Lin, Hao Li, Liuzhenghao Lv, Yu Wang, Bin Lin, Junwu Zhang, Zijun Chen, Calvin Yu-Chian Chen, Li Yuan, Yonghong Tian:
TaxDiff: taxonomic-guided diffusion model for protein sequence generation. Sci. China Inf. Sci. 68(4) (2025)- [j132]Mengyue Geng, Lizhi Wang, Lin Zhu, Wei Zhang, Ruiqin Xiong, Yonghong Tian
:
Towards Ultra High-Speed Hyperspectral Imaging by Integrating Compressive and Neuromorphic Sampling. Int. J. Comput. Vis. 133(4): 1587-1610 (2025) - [j131]Zhiwei Nie, Xudong Liu, Jie Chen, Zhennan Wang, Yutian Liu, Haorui Si, Tianyi Dong, Fan Xu, Guoli Song, Yu Wang, Peng Zhou, Wen Gao, Yonghong Tian:
A unified evolution-driven deep learning framework for virus variation driver prediction. Nat. Mac. Intell. 7(1): 131-144 (2025) - [j130]Hao Li, Da Long, Li Yuan, Yu Wang, Yonghong Tian, Xinchang Wang, Fanyang Mo:
Decoupled peak property learning for efficient and interpretable electronic circular dichroism spectrum prediction. Nat. Comput. Sci. 5(3): 234-244 (2025) - [j129]Jiahong Zhang, Guoqi Li, Qiaoyi Su, Lihong Cao, Yonghong Tian, Bo Xu:
Enabling scale and rotation invariance in convolutional neural networks with retina like transformation. Neural Networks 187: 107395 (2025) - [j128]Mengyue Geng, Lizhi Wang, Lin Zhu, Wei Zhang, Ruiqin Xiong, Yonghong Tian:
Event-Enhanced Snapshot Mosaic Hyperspectral Frame Deblurring. IEEE Trans. Pattern Anal. Mach. Intell. 47(1): 206-223 (2025) - [j127]Hanyu Zhou, Yi Chang, Zhiwei Shi, Wending Yan, Gang Chen, Yonghong Tian, Luxin Yan:
Adverse Weather Optical Flow: Cumulative Homogeneous-Heterogeneous Adaptation. IEEE Trans. Pattern Anal. Mach. Intell. 47(1): 529-548 (2025) - [j126]Lin Zhu, Xianzhang Chen, Lizhi Wang, Xiao Wang, Yonghong Tian, Hua Huang:
Continuous-Time Object Segmentation Using High Temporal Resolution Event Camera. IEEE Trans. Pattern Anal. Mach. Intell. 47(2): 807-824 (2025) - [j125]Yifan Zhao, Jia Li, Zeyin Song, Yonghong Tian:
Language-Inspired Relation Transfer for Few-Shot Class-Incremental Learning. IEEE Trans. Pattern Anal. Mach. Intell. 47(2): 1089-1102 (2025) - [j124]Haoyue Liu, Jinghan Xu, Shihan Peng, Yi Chang, Hanyu Zhou, Yuxing Duan, Lin Zhu, Yonghong Tian, Luxin Yan:
NER-Net+: Seeing Motion at Nighttime With an Event Camera. IEEE Trans. Pattern Anal. Mach. Intell. 47(6): 4768-4786 (2025) - [j123]Ding Chen, Peixi Peng, Tiejun Huang, Yonghong Tian:
Fully Spiking Actor Network With Intralayer Connections for Reinforcement Learning. IEEE Trans. Neural Networks Learn. Syst. 36(2): 2881-2893 (2025) - [c203]Chaoran Feng, Wangbo Yu, Xinhua Cheng, Zhenyu Tang, Junwu Zhang, Li Yuan, Yonghong Tian:
AE-NeRF: Augmenting Event-Based Neural Radiance Fields for Non-ideal Conditions and Larger Scenes. AAAI 2025: 2924-2932 - [c202]Zhenxian Liu, Peixi Peng, Yonghong Tian:
Visual Reinforcement Learning with Residual Action. AAAI 2025: 19050-19058 - [c201]Jianyang Zhai, Zi-Feng Mai, Dongyi Zheng, Chang-Dong Wang, Xiawu Zheng, Hui Li, Feidiao Yang, Yonghong Tian:
Learning Transition Patterns by Large Language Models for Sequential Recommendation. COLING 2025: 2513-2525 - [c200]Shuo Yang, Kun-Peng Ning, Yu-Yang Liu, Jia-Yu Yao, Yong-Hong Tian, Yi-Bing Song, Li Yuan:
Is Parameter Collision Hindering Continual Learning in LLMs? COLING 2025: 4243-4259 - [c199]Dongyi Zheng, Hongyu Zhang, Jianyang Zhai, Lin Zhong, Lingzhi Wang, Jiyuan Feng, Xiangke Liao, Yonghong Tian, Nong Xiao, Qing Liao:
FedCSR: A Federated Framework for Multi-Platform Cross-Domain Sequential Recommendation with Dual Contrastive Learning. COLING 2025: 8699-8713 - [c198]Kun-Peng Ning, Shuo Yang, Yuyang Liu, Jia-Yu Yao, Zhen-Hui Liu, Yonghong Tian, Yibing Song, Li Yuan:
PiCO: Peer Review in LLMs based on Consistency Optimization. ICLR 2025 - [c197]Jianyang Zhai, Zi-Feng Mai, Chang-Dong Wang, Feidiao Yang, Xiawu Zheng, Hui Li, Yonghong Tian:
Multimodal Quantitative Language for Generative Recommendation. ICLR 2025 - [i169]Chaoran Feng, Wangbo Yu, Xinhua Cheng, Zhenyu Tang, Junwu Zhang, Li Yuan, Yonghong Tian:
AE-NeRF: Augmenting Event-Based Neural Radiance Fields for Non-ideal Conditions and Larger Scene. CoRR abs/2501.02807 (2025) - [i168]Xiao Wang, Fuling Wang, Haowen Wang, Bo Jiang, Chuanfu Li, Yaowei Wang, Yonghong Tian, Jin Tang:
Activating Associative Disease-Aware Vision Token Memory for LLM-Based X-ray Report Generation. CoRR abs/2501.03458 (2025) - [i167]Xinzi Cao, Xiawu Zheng, Guanhong Wang, Weijiang Yu, Yunhang Shen, Ke Li, Yutong Lu, Yonghong Tian:
Solving the Catastrophic Forgetting Problem in Generalized Category Discovery. CoRR abs/2501.05272 (2025) - [i166]Yifan Zhao, Jia Li, Zeyin Song, Yonghong Tian:
Language-Inspired Relation Transfer for Few-shot Class-Incremental Learning. CoRR abs/2501.05862 (2025) - [i165]Peng Xue, Wei Fang, Zhengyu Ma, Zihan Huang, Zhaokun Zhou, Yonghong Tian, Timothée Masquelier, Huihui Zhou:
Channel-wise Parallelizable Spiking Neuron with Multiplication-free Dynamics and Large Temporal Receptive Fields. CoRR abs/2501.14490 (2025) - [i164]Shiao Wang, Xiao Wang, Chao Wang, Liye Jin, Lin Zhu, Bo Jiang, Yonghong Tian, Jinhui Tang:
Event Stream-based Visual Object Tracking: HDETrack V2 and A High-Definition Benchmark. CoRR abs/2502.05574 (2025) - [i163]Yuhui Zeng, Haoxiang Wu, Wenjie Nie, Guangyao Chen, Xiawu Zheng, Yunhang Shen, Guilin Li, Yixiong Zou, Yonghong Tian, Rongrong Ji:
Training-free Anomaly Event Detection via LLM-guided Symbolic Pattern Discovery. CoRR abs/2502.05843 (2025) - [i162]Xiao Wang, Yuehang Li, Fuling Wang, Bo Jiang, Yaowei Wang, Yonghong Tian, Jinhui Tang, Bin Luo:
Sign Language Translation using Frame and Event Stream: Benchmark Dataset and Algorithms. CoRR abs/2503.06484 (2025) - [i161]Haoran Xu, Peixi Peng, Guang Tan, Yiqian Chang, Yisen Zhao, Yonghong Tian:
Temporal Triplane Transformers as Occupancy World Models. CoRR abs/2503.07338 (2025) - [i160]Shuai Liu, Qingyu Mao, Chao Li, Jiacong Chen, Fanyang Meng, Yonghong Tian, Yongsheng Liang:
Content-Distortion High-Order Interaction for Blind Image Quality Assessment. CoRR abs/2504.05076 (2025) - [i159]Jianyang Zhai, Zi-Feng Mai, Chang-Dong Wang, Feidiao Yang, Xiawu Zheng, Hui Li, Yonghong Tian:
Multimodal Quantitative Language for Generative Recommendation. CoRR abs/2504.05314 (2025) - [i158]Shiao Wang, Xiao Wang, Bo Jiang, Lin Zhu, Guoqi Li, Yaowei Wang, Yonghong Tian, Jin Tang:
Human Activity Recognition using RGB-Event based Sensors: A Multi-modal Heat Conduction Model and A Benchmark Dataset. CoRR abs/2504.05830 (2025) - [i157]Hao Li, Liuzhenghao Lv, He Cao, Zijing Liu, Zhiyuan Yan, Yu Wang, Yonghong Tian, Yu Li, Li Yuan:
How to Detect and Defeat Molecular Mirage: A Metric-Driven Benchmark for Hallucination in LLM-based Molecular Comprehension. CoRR abs/2504.12314 (2025) - [i156]Qiang Chen, Xiao Wang, Haowen Wang, Bo Jiang, Lin Zhu, Dawei Zhang, Yonghong Tian, Jin Tang:
Adversarial Attack for RGB-Event based Visual Object Tracking. CoRR abs/2504.14423 (2025) - 2024
- [j122]Bo Sun, Peixi Peng, Guang Tan, Mingjun Pan, Luntong Li, Yonghong Tian:
A fuzzy logic constrained particle swarm optimization algorithm for industrial design problems. Appl. Soft Comput. 167: 112456 (2024) - [j121]Yifan Zhao, Jia Li, Yonghong Tian:
Parsing Objects at a Finer Granularity: A Survey. Mach. Intell. Res. 21(3): 431-451 (2024) - [j120]Feng Lin, Wenze Hu, Yaowei Wang, Yonghong Tian, Guangming Lu, Fanglin Chen, Yong Xu, Xiaoyu Wang:
Universal Object Detection with Large Vision Model. Int. J. Comput. Vis. 132(4): 1258-1276 (2024) - [j119]Linxuan He, Yunhui Xu, Weihua He, Yihan Lin, Yang Tian, Yujie Wu, Wenhui Wang, Ziyang Zhang, Junwei Han, Yonghong Tian, Bo Xu, Guoqi Li:
Network model with internal complexity bridges artificial intelligence and neuroscience. Nat. Comput. Sci. 4(8): 584-599 (2024) - [j118]Haonan Qiu, Munan Ning, Zeyin Song, Wei Fang, Yanqi Chen, Tao Sun, Zhengyu Ma, Li Yuan, Yonghong Tian:
Self-architectural knowledge distillation for spiking neural networks. Neural Networks 178: 106475 (2024) - [j117]Yi Chang, Yun Guo, Yuntong Ye, Changfeng Yu, Lin Zhu, Xile Zhao, Luxin Yan, Yonghong Tian:
Unsupervised Deraining: Where Asymmetric Contrastive Learning Meets Self-Similarity. IEEE Trans. Pattern Anal. Mach. Intell. 46(5): 2638-2657 (2024) - [j116]Tianshuo Xu, Lijiang Li, Peng Mi, Xiawu Zheng, Fei Chao, Rongrong Ji, Yonghong Tian, Qiang Shen:
Uncovering the Over-Smoothing Challenge in Image Super-Resolution: Entropy-Based Quantification and Contrastive Optimization. IEEE Trans. Pattern Anal. Mach. Intell. 46(9): 6199-6215 (2024) - [j115]Qinqin Zhou, Kekai Sheng, Xiawu Zheng, Ke Li, Yonghong Tian, Jie Chen, Rongrong Ji:
Training-Free Transformer Architecture Search With Zero-Cost Proxy Guided Evolution. IEEE Trans. Pattern Anal. Mach. Intell. 46(10): 6525-6541 (2024) - [j114]Guoqi Li, Lei Deng, Huajin Tang, Gang Pan, Yonghong Tian, Kaushik Roy, Wolfgang Maass:
Brain-Inspired Computing: A Systematic Survey and Future Trends. Proc. IEEE 112(6): 544-584 (2024) - [j113]Guoqi Li, Lei Deng, Huajin Tang, Gang Pan, Yonghong Tian, Kaushik Roy, Wolfgang Maass:
Corrections to "Brain-Inspired Computing: A Systematic Survey and Future Trends". Proc. IEEE 112(12): 1850 (2024) - [j112]Xu Liu, Jianing Li, Jinqiao Shi, Xiaopeng Fan, Yonghong Tian, Debin Zhao:
Event-Based Monocular Depth Estimation With Recurrent Transformers. IEEE Trans. Circuits Syst. Video Technol. 34(8): 7417-7429 (2024) - [j111]Chao Li, Shanzhi Yin, Chuanmin Jia, Fanyang Meng, Yonghong Tian, Yongsheng Liang:
Multirate Progressive Entropy Model for Learned Image Compression. IEEE Trans. Circuits Syst. Video Technol. 34(8): 7725-7741 (2024) - [j110]Xiao Wang, Jianing Li, Lin Zhu, Zhipeng Zhang, Zhe Chen, Xin Li, Yaowei Wang, Yonghong Tian, Feng Wu:
VisEvent: Reliable Object Tracking via Collaboration of Frame and Event Flows. IEEE Trans. Cybern. 54(3): 1997-2010 (2024) - [j109]Zhiyi Tian, Lei Cui, Chenhan Zhang, Shuaishuai Tan, Shui Yu, Yonghong Tian:
The Role of Class Information in Model Inversion Attacks Against Image Deep Learning Classifiers. IEEE Trans. Dependable Secur. Comput. 21(4): 2407-2420 (2024) - [j108]Qiangqiang Shen, Yongyong Chen, Changqing Zhang, Yonghong Tian, Yongsheng Liang:
Pick-and-Place Transform Learning for Fast Multi-View Clustering. IEEE Trans. Image Process. 33: 1272-1284 (2024) - [j107]Li Ma, Yifan Zhao, Peixi Peng, Yonghong Tian:
Sensitivity Decouple Learning for Image Compression Artifacts Reduction. IEEE Trans. Image Process. 33: 3620-3633 (2024) - [j106]Guangqiang Xie, Biwei Zhong, Haoran Xu, Yang Li, Xianbiao Hu, Zhihao Jiang, Yonghong Tian:
Sustainable Distributed Adaptive Platoon in Multi-Agent Mobile-Edge Computing Networks for Lane Reduction Scenario. IEEE Trans. Intell. Transp. Syst. 25(11): 15673-15686 (2024) - [j105]Guangqiang Xie, Haoran Xu, Jiyuan Xu, Shupeng Zhao, Yang Li, Chang-Dong Wang, Xianbiao Hu, Yonghong Tian:
Sequential Trajectory Data Publishing With Adaptive Grid-Based Weighted Differential Privacy. IEEE Trans. Knowl. Data Eng. 36(12): 9249-9262 (2024) - [j104]Li Yuan, Tao Wang, Xiaopeng Zhang, Francis Eng Hock Tay, Zequn Jie, Yonghong Tian, Wei Liu, Jiashi Feng:
Learnable Central Similarity Quantization for Efficient Image and Video Retrieval. IEEE Trans. Neural Networks Learn. Syst. 35(12): 18717-18730 (2024) - [c196]Xiao Wang, Zongzhen Wu, Bo Jiang, Zhimin Bao, Lin Zhu, Guoqi Li, Yaowei Wang, Yonghong Tian:
HARDVS: Revisiting Human Activity Recognition with Dynamic Vision Sensors. AAAI 2024: 5615-5623 - [c195]Guangyao Chen, Peixi Peng, Yangru Huang, Mengyue Geng, Yonghong Tian:
Adaptive Discovering and Merging for Incremental Novel Class Discovery. AAAI 2024: 11276-11284 - [c194]Xinzi Cao, Xiawu Zheng, Guanhong Wang, Weijiang Yu, Yunhang Shen, Ke Li, Yutong Lu, Yonghong Tian:
Solving the Catastrophic Forgetting Problem in Generalized Category Discovery. CVPR 2024: 16880-16889 - [c193]Xiao Wang, Shiao Wang, Chuanming Tang, Lin Zhu, Bo Jiang, Yonghong Tian, Jin Tang:
Event Stream-Based Visual Object Tracking: A High-Resolution Benchmark Dataset and A Novel Baseline. CVPR 2024: 19248-19257 - [c192]Haoran Xu, Peixi Peng, Guang Tan, Yuan Li, Xinhai Xu, Yonghong Tian:
DMR: Decomposed Multi-Modality Representations for Frames and Events Fusion in Visual Reinforcement Learning. CVPR 2024: 26498-26508 - [c191]Mengyue Geng, Lin Zhu, Lizhi Wang, Wei Zhang, Ruiqin Xiong, Yonghong Tian:
Event-Based Visible and Infrared Fusion via Multi-Task Collaboration. CVPR 2024: 26919-26929 - [c190]Wangbo Yu, Li Yuan, Yan-Pei Cao, Xiangjun Gao, Xiaoyu Li, Wenbo Hu, Quan Long, Ying Shan, Yonghong Tian:
HiFi-123: Towards High-Fidelity One Image to 3D Content Generation. ECCV (73) 2024: 258-274 - [c189]Haonan Qiu, Zeyin Song, Yanqi Chen, Munan Ning, Wei Fang, Tao Sun, Zhengyu Ma, Li Yuan, Yonghong Tian:
Temporal Contrastive Learning for Spiking Neural Networks. ICANN (10) 2024: 422-436 - [c188]Liuzhenghao Lv, Wei Fang, Li Yuan, Yonghong Tian:
Optimal ANN-SNN Conversion with Group Neurons. ICASSP 2024: 6475-6479 - [c187]Man Yao, Jiakui Hu, Tianxiang Hu, Yifan Xu, Zhaokun Zhou, Yonghong Tian, Bo Xu, Guoqi Li:
Spike-driven Transformer V2: Meta Spiking Neural Network Architecture Inspiring the Design of Next-generation Neuromorphic Chips. ICLR 2024 - [c186]Jiakui Hu, Man Yao, Xuerui Qiu, Yuhong Chou, Yuxuan Cai, Ning Qiao, Yonghong Tian, Bo Xu, Guoqi Li:
High-Performance Temporal Reversible Spiking Neural Networks with O(L) Training Memory and O(1) Inference Cost. ICML 2024 - [c185]Quanmin Liang, Zhilin Huang, Xiawu Zheng, Feidiao Yang, Jun Peng, Kai Huang, Yonghong Tian:
Efficient Event Stream Super-Resolution with Recursive Multi-Branch Fusion. IJCAI 2024: 1074-1082 - [c184]Liwei Huang, Zhengyu Ma, Liutao Yu, Huihui Zhou, Yonghong Tian:
Long-Range Feedback Spiking Network Captures Dynamic and Static Representations of the Visual Cortex under Movie Stimuli. NeurIPS 2024 - [c183]Yangru Huang, Peixi Peng, Yifan Zhao, Guangyao Chen, Yonghong Tian:
Seek Commonality but Preserve Differences: Dissected Dynamics Modeling for Multi-modal Visual RL. NeurIPS 2024 - [c182]Chenlin Zhou, Han Zhang, Zhaokun Zhou, Liutao Yu, Liwei Huang, Xiaopeng Fan, Li Yuan, Zhengyu Ma, Huihui Zhou, Yonghong Tian:
QKFormer: Hierarchical Spiking Transformer using Q-K Attention. NeurIPS 2024 - [c181]Weicheng Xue, Kai Yang, Yongxiang Liu, Dengdong Fan, Pengxiang Xu, Yonghong Tian:
Unlocking High Performance with Low-Bit NPUs and CPUs for Highly Optimized HPL-MxP on Cloud Brain II. SC 2024: 82 - [i155]Zhaokun Zhou, Kaiwei Che, Wei Fang, Keyu Tian, Yuesheng Zhu, Shuicheng Yan, Yonghong Tian, Li Yuan:
Spikformer V2: Join the High Accuracy Club on ImageNet with an SNN Ticket. CoRR abs/2401.02020 (2024) - [i154]Yabin Zhu, Xiao Wang, Chenglong Li, Bo Jiang, Lin Zhu, Zhixiang Huang, Yonghong Tian, Jin Tang:
CRSOT: Cross-Resolution Object Tracking using Unaligned Frame and Event Cameras. CoRR abs/2401.02826 (2024) - [i153]Hao Li, Da Long, Li Yuan, Yonghong Tian, Xinchang Wang, Fanyang Mo:
Deep peak property learning for efficient chiral molecules ECD spectra prediction. CoRR abs/2401.03403 (2024) - [i152]Ding Chen, Peixi Peng, Tiejun Huang, Yonghong Tian:
Fully Spiking Actor Network with Intra-layer Connections for Reinforcement Learning. CoRR abs/2401.05444 (2024) - [i151]Liuzhenghao Lv, Zongying Lin, Hao Li, Yuyang Liu, Jiaxi Cui, Calvin Yu-Chian Chen, Li Yuan, Yonghong Tian:
ProLLaMA: A Protein Large Language Model for Multi-Task Protein Language Processing. CoRR abs/2402.16445 (2024) - [i150]Zongying Lin, Hao Li, Liuzhenghao Lv, Bin Lin, Junwu Zhang, Calvin Yu-Chian Chwn, Li Yuan, Yonghong Tian:
TaxDiff: Taxonomic-Guided Diffusion Model for Protein Sequence Generation. CoRR abs/2402.17156 (2024) - [i149]Liuzhenghao Lv, Wei Fang, Li Yuan, Yonghong Tian:
Optimal ANN-SNN Conversion with Group Neurons. CoRR abs/2402.19061 (2024) - [i148]Guangyao Chen, Peixi Peng, Yangru Huang, Mengyue Geng, Yonghong Tian:
Adaptive Discovering and Merging for Incremental Novel Class Discovery. CoRR abs/2403.03382 (2024) - [i147]Ding Chen, Peixi Peng, Tiejun Huang, Yonghong Tian:
Noisy Spiking Actor Network for Exploration. CoRR abs/2403.04162 (2024) - [i146]Xiao Wang, Ju Huang, Shiao Wang, Chuanming Tang, Bo Jiang, Yonghong Tian, Jin Tang, Bin Luo:
Long-term Frame-Event Visual Tracking: Benchmark Dataset and Baseline. CoRR abs/2403.05839 (2024) - [i145]Chenlin Zhou, Han Zhang, Zhaokun Zhou, Liutao Yu, Liwei Huang, Xiaopeng Fan, Li Yuan, Zhengyu Ma, Huihui Zhou, Yonghong Tian:
QKFormer: Hierarchical Spiking Transformer using Q-K Attention. CoRR abs/2403.16552 (2024) - [i144]Liwen Zhu, Peixi Peng, Zongqing Lu, Yonghong Tian:
MTLight: Efficient Multi-Task Reinforcement Learning for Traffic Signal Control. CoRR abs/2404.00886 (2024) - [i143]Man Yao, Jiakui Hu, Tianxiang Hu, Yifan Xu, Zhaokun Zhou, Yonghong Tian, Bo Xu, Guoqi Li:
Spike-driven Transformer V2: Meta Spiking Neural Network Architecture Inspiring the Design of Next-generation Neuromorphic Chips. CoRR abs/2404.03663 (2024) - [i142]Xiao Wang, Shiao Wang, Yuhe Ding, Yuehang Li, Wentao Wu, Yao Rong, Weizhe Kong, Ju Huang, Shihao Li, Haoxiang Yang, Ziwen Wang, Bo Jiang, Chenglong Li, Yaowei Wang, Yonghong Tian, Jin Tang:
State Space Model for New-Generation Network Alternative to Transformers: A Survey. CoRR abs/2404.09516 (2024) - [i141]Xiao Wang, Qian Zhu, Jiandong Jin, Jun Zhu, Futian Wang, Bo Jiang, Yaowei Wang, Yonghong Tian:
Spatio-Temporal Side Tuning Pre-trained Foundation Models for Video-based Pedestrian Attribute Recognition. CoRR abs/2404.17929 (2024) - [i140]Chenlin Zhou, Han Zhang, Liutao Yu, Yumin Ye, Zhaokun Zhou, Liwei Huang, Zhengyu Ma, Xiaopeng Fan, Huihui Zhou, Yonghong Tian:
Direct Training High-Performance Deep Spiking Neural Networks: A Review of Theories and Methods. CoRR abs/2405.04289 (2024) - [i139]Li Ma, Yifan Zhao, Peixi Peng, Yonghong Tian:
Sensitivity Decouple Learning for Image Compression Artifacts Reduction. CoRR abs/2405.09291 (2024) - [i138]Jiakui Hu, Man Yao, Xuerui Qiu, Yuhong Chou, Yuxuan Cai, Ning Qiao, Yonghong Tian, Bo Xu, Guoqi Li:
High-Performance Temporal Reversible Spiking Neural Networks with O(L) Training Memory and O(1) Inference Cost. CoRR abs/2405.16466 (2024) - [i137]Wangbo Yu, Chaoran Feng, Jiye Tang, Xu Jia, Li Yuan, Yonghong Tian:
EvaGaussians: Event Stream Assisted Gaussian Splatting from Blurry Images. CoRR abs/2405.20224 (2024) - [i136]Liutao Yu, Liwei Huang, Chenlin Zhou, Han Zhang, Zhengyu Ma, Huihui Zhou, Yonghong Tian:
SVFormer: A Direct Training Spiking Transformer for Efficient Video Action Recognition. CoRR abs/2406.15034 (2024) - [i135]Lan Chen, Dong Li, Xiao Wang, Pengpeng Shao, Wei Zhang, Yaowei Wang, Yonghong Tian, Jin Tang:
Retain, Blend, and Exchange: A Quality-aware Spatial-Stereo Fusion Approach for Event Stream Recognition. CoRR abs/2406.18845 (2024) - [i134]Quanmin Liang, Zhilin Huang, Xiawu Zheng, Feidiao Yang, Jun Peng, Kai Huang, Yonghong Tian:
Efficient Event Stream Super-Resolution with Recursive Multi-Branch Fusion. CoRR abs/2406.19640 (2024) - [i133]Haiyang Zhou, Xinhua Cheng, Wangbo Yu, Yonghong Tian, Li Yuan:
HoloDreamer: Holistic 3D Panoramic World Generation from Text Descriptions. CoRR abs/2407.15187 (2024) - [i132]Liwei Huang, Zhengyu Ma, Liutao Yu, Huihui Zhou, Yonghong Tian:
Time-Dependent VAE for Building Latent Factor from Visual Neural Activity with Complex Dynamics. CoRR abs/2408.07908 (2024) - [i131]Xiao Wang, Shiao Wang, Pengpeng Shao, Bo Jiang, Lin Zhu, Yonghong Tian:
Event Stream based Human Action Recognition: A High-Definition Benchmark Dataset and Algorithms. CoRR abs/2408.09764 (2024) - [i130]Wangbo Yu, Jinbo Xing, Li Yuan, Wenbo Hu, Xiaoyu Li, Zhipeng Huang, Xiangjun Gao, Tien-Tsin Wong, Ying Shan, Yonghong Tian:
ViewCrafter: Taming Video Diffusion Models for High-fidelity Novel View Synthesis. CoRR abs/2409.02048 (2024) - [i129]Zijun Chen, Yu Wang, Liuzhenghao Lv, Hao Li, Zongying Lin, Li Yuan, Yonghong Tian:
Multi-granularity Score-based Generative Framework Enables Efficient Inverse Design of Complex Organics. CoRR abs/2409.07912 (2024) - [i128]Hanyu Zhou, Yi Chang, Zhiwei Shi, Wending Yan, Gang Chen, Yonghong Tian, Luxin Yan:
Adverse Weather Optical Flow: Cumulative Homogeneous-Heterogeneous Adaptation. CoRR abs/2409.17001 (2024) - [i127]Mingyi Guo, Yuyang Liu, Zongying Lin, Peixi Peng, Yonghong Tian:
CASA: Class-Agnostic Shared Attributes in Vision-Language Models for Efficient Incremental Object Detection. CoRR abs/2410.05804 (2024) - [i126]Shuo Yang, Kun-Peng Ning, Yu-Yang Liu, Jia-Yu Yao, Yonghong Tian, Yi-Bing Song, Li Yuan:
Is Parameter Collision Hindering Continual Learning in LLMs? CoRR abs/2410.10179 (2024) - [i125]Kaiwei Che, Zhaokun Zhou, Li Yuan, Jianguo Zhang, Yonghong Tian, Luziwei Leng:
Spatial-Temporal Search for Spiking Neural Networks. CoRR abs/2410.18580 (2024) - [i124]Kaiwei Che, Wei Fang, Zhengyu Ma, Li Yuan, Timothée Masquelier, Yonghong Tian:
ETTFS: An Efficient Training Framework for Time-to-First-Spike Neuron. CoRR abs/2410.23619 (2024) - [i123]Kun-Peng Ning, Hai-Jian Ke, Yu-Yang Liu, Jia-Yu Yao, Yonghong Tian, Li Yuan:
Sparse Orthogonal Parameters Tuning for Continual Learning. CoRR abs/2411.02813 (2024) - [i122]Zeqing Wang, Qingyang Ma, Wentao Wan, Haojie Li, Keze Wang, Yonghong Tian:
Is this Generated Person Existed in Real-world? Fine-grained Detecting and Calibrating Abnormal Human-body. CoRR abs/2411.14205 (2024) - [i121]Dianze Li, Jianing Li, Xu Liu, Zhaokun Zhou, Xiaopeng Fan, Yonghong Tian:
HDI-Former: Hybrid Dynamic Interaction ANN-SNN Transformer for Object Detection Using Frames and Events. CoRR abs/2411.18658 (2024) - [i120]Xueke Zhu, Wenjie Lin, Yanyu Lin, Wenxiang Cheng, Zhengyu Ma, Yonghong Tian, Huihui Zhou:
Core Placement Optimization of Many-core Brain-Inspired Near-Storage Systems for Spiking Neural Network Training. CoRR abs/2411.19430 (2024) - [i119]Bin Lin, Yunyang Ge, Xinhua Cheng, Zongjian Li, Bin Zhu, Shaodong Wang, Xianyi He, Yang Ye, Shenghai Yuan, Liuhan Chen, Tanghui Jia, Junwu Zhang, Zhenyu Tang, Yatian Pang, Bin She, Cen Yan, Zhiheng Hu, Xiaoyi Dong, Lin Chen, Zhang Pan, Xing Zhou, Shaoling Dong, Yonghong Tian, Li Yuan:
Open-Sora Plan: Open-Source Large Video Generation Model. CoRR abs/2412.00131 (2024) - [i118]Mingjing Li, Huihui Zhou, Xiaofeng Xu, Zhiwei Zhong, Puli Quan, Xueke Zhu, Yanyu Lin, Wenjie Lin, Hongyu Guo, Junchao Zhang, Yunhao Ma, Wei Wang, Qingyan Meng, Zhengyu Ma, Guoqi Li, Xiaoxin Cui, Yonghong Tian:
A High Energy-Efficiency Multi-core Neuromorphic Architecture for Deep SNN Training. CoRR abs/2412.05302 (2024) - [i117]Yifan Huang, Wei Fang, Zhengyu Ma, Guoqi Li, Yonghong Tian:
Flexible and Scalable Deep Dendritic Spiking Neural Networks with Multiple Nonlinear Branching. CoRR abs/2412.06355 (2024) - [i116]Xiao Wang, Yu Jin, Wentao Wu, Wei Zhang, Lin Zhu, Bo Jiang, Yonghong Tian:
Object Detection using Event Camera: A MoE Heat Conduction based Detector and A New Benchmark Dataset. CoRR abs/2412.06647 (2024) - [i115]Wei Zhang, Weiquan Yan, Yun Zhao, Wenxiang Cheng, Gang Chen, Huihui Zhou, Yonghong Tian:
High-speed and High-quality Vision Reconstruction of Spike Camera with Spike Stability Theorem. CoRR abs/2412.11639 (2024) - [i114]Zhipeng Huang, Wangbo Yu, Xinhua Cheng, ChengShu Zhao, Yunyang Ge, Mingyi Guo, Li Yuan, Yonghong Tian:
RoomPainter: View-Integrated Diffusion for Consistent Indoor Scene Texturing. CoRR abs/2412.16778 (2024) - [i113]Lan Chen, Haoxiang Yang, Pengpeng Shao, Haoyu Song, Xiao Wang, Zhicheng Zhao, Yaowei Wang, Yonghong Tian:
VELoRA: A Low-Rank Adaptation Approach for Efficient RGB-Event based Recognition. CoRR abs/2412.20064 (2024) - [i112]Liuzhenghao Lv, Hao Li, Yu Wang, Zhiyuan Yan, Zijun Chen, Zongying Lin, Li Yuan, Yonghong Tian:
Navigating Chemical-Linguistic Sharing Space with Heterogeneous Molecular Encoding. CoRR abs/2412.20888 (2024) - 2023
- [j103]Xiao Wang, Guangyao Chen, Guangwu Qian, Pengcheng Gao, Xiao-Yong Wei, Yaowei Wang, Yonghong Tian, Wen Gao:
Large-scale Multi-modal Pre-trained Models: A Comprehensive Survey. Mach. Intell. Res. 20(4): 447-482 (2023) - [j102]Yunpeng Zhai, Peixi Peng, Mengxi Jia, Shiyong Li, Weiqiang Chen, Xuesong Gao, Yonghong Tian:
Population-Based Evolutionary Gaming for Unsupervised Person Re-identification. Int. J. Comput. Vis. 131(1): 1-25 (2023) - [j101]Jie Chen, Zhiwei Nie, Yu Wang, Kai Wang, Fan Xu, Zhiheng Hu, Bing Zheng, Zhennan Wang, Guoli Song, Jingyi Zhang, Jie Fu, Xiansong Huang, Zhongqi Wang, Zhixiang Ren, Qiankun Wang, Daixi Li, Dongqing Wei, Bin Zhou, Chao Yang, Yonghong Tian:
Running ahead of evolution - AI-based simulation for predicting future high-risk SARS-CoV-2 variants. Int. J. High Perform. Comput. Appl. 37(6): 650-665 (2023) - [j100]Lin Zhu, Siwei Dong, Jianing Li, Tiejun Huang, Yonghong Tian:
Ultra-High Temporal Resolution Visual Reconstruction From a Fovea-Like Spike Camera via Spiking Neuron Model. IEEE Trans. Pattern Anal. Mach. Intell. 45(1): 1233-1249 (2023) - [j99]Yifan Zhao, Jia Li, Yu Zhang, Yonghong Tian:
From Pose to Part: Weakly-Supervised Pose Evolution for Human Part Segmentation. IEEE Trans. Pattern Anal. Mach. Intell. 45(3): 3107-3120 (2023) - [j98]Mingbao Lin, Yuxin Zhang, Yuchao Li, Bohong Chen, Fei Chao, Mengdi Wang, Shen Li, Yonghong Tian, Rongrong Ji:
1xN Pattern for Pruning Convolutional Neural Networks. IEEE Trans. Pattern Anal. Mach. Intell. 45(4): 3999-4008 (2023) - [j97]Man Yao, Guangshe Zhao, Hengyu Zhang, Yifan Hu, Lei Deng, Yonghong Tian, Bo Xu, Guoqi Li:
Attention Spiking Neural Networks. IEEE Trans. Pattern Anal. Mach. Intell. 45(8): 9393-9410 (2023) - [j96]Yifan Zhao, Tong Zhang, Jia Li, Yonghong Tian:
Dual Adaptive Representation Alignment for Cross-Domain Few-Shot Learning. IEEE Trans. Pattern Anal. Mach. Intell. 45(10): 11720-11732 (2023) - [j95]Munan Ning, Donghuan Lu, Yujia Xie, Dongdong Chen, Dong Wei, Yefeng Zheng, Yonghong Tian, Shuicheng Yan, Li Yuan:
MADAv2: Advanced Multi-Anchor Based Active Domain Adaptation Segmentation. IEEE Trans. Pattern Anal. Mach. Intell. 45(11): 13553-13566 (2023) - [j94]Dianze Li, Yonghong Tian, Jianing Li:
SODFormer: Streaming Object Detection With Transformer Using Events and Frames. IEEE Trans. Pattern Anal. Mach. Intell. 45(11): 14020-14037 (2023) - [j93]Xijie Xiang, Lin Zhu, Jianing Li, Yixuan Wang, Tie-Jun Huang, Yonghong Tian:
Learning Super-Resolution Reconstruction for High Temporal Resolution Spike Stream. IEEE Trans. Circuits Syst. Video Technol. 33(1): 16-29 (2023) - [j92]Li Ma, Peixi Peng, Guangyao Chen, Yifan Zhao, Siwei Dong, Yonghong Tian:
Picking Up Quantization Steps for Compressed Image Classification. IEEE Trans. Circuits Syst. Video Technol. 33(4): 1884-1898 (2023) - [j91]Youneng Bao, Fanyang Meng, Chao Li, Siwei Ma, Yonghong Tian, Yongsheng Liang:
Nonlinear Transforms in Learned Image Compression From a Communication Perspective. IEEE Trans. Circuits Syst. Video Technol. 33(4): 1922-1936 (2023) - [j90]Wenrui Li, Zhengyu Ma, Liang-Jian Deng, Xiaopeng Fan, Yonghong Tian:
Neuron-Based Spiking Transmission and Reasoning Network for Robust Image-Text Retrieval. IEEE Trans. Circuits Syst. Video Technol. 33(7): 3516-3528 (2023) - [j89]Wendong Zheng, Putian Zhao, Gang Chen, Huihui Zhou, Yonghong Tian:
A Hybrid Spiking Neurons Embedded LSTM Network for Multivariate Time Series Learning Under Concept-Drift Environment. IEEE Trans. Knowl. Data Eng. 35(7): 6561-6574 (2023) - [j88]Liwen Zhu, Peixi Peng, Zongqing Lu, Yonghong Tian:
MetaVIM: Meta Variationally Intrinsic Motivated Reinforcement Learning for Decentralized Traffic Signal Control. IEEE Trans. Knowl. Data Eng. 35(11): 11570-11584 (2023) - [j87]Pengchong Qiao, Han Li, Guoli Song, Hu Han, Zhiqiang Gao, Yonghong Tian, Yongsheng Liang, Xi Li, S. Kevin Zhou, Jie Chen:
Semi-Supervised CT Lesion Segmentation Using Uncertainty-Based Data Pairing and SwapMix. IEEE Trans. Medical Imaging 42(5): 1546-1562 (2023) - [j86]Xiao Wang, Xiujun Shu, Shiliang Zhang, Bo Jiang, Yaowei Wang, Yonghong Tian, Feng Wu:
MFGNet: Dynamic Modality-Aware Filter Generation for RGB-T Tracking. IEEE Trans. Multim. 25: 4335-4348 (2023) - [j85]Jianing Li, Yihua Fu, Siwei Dong, Zhaofei Yu, Tie-Jun Huang, Yonghong Tian:
Asynchronous Spatiotemporal Spike Metric for Event Cameras. IEEE Trans. Neural Networks Learn. Syst. 34(4): 1742-1753 (2023) - [j84]Yuxin Zhang, Mingbao Lin, Chia-Wen Lin, Jie Chen, Yongjian Wu, Yonghong Tian, Rongrong Ji:
Carrying Out CNN Channel Pruning in a White Box. IEEE Trans. Neural Networks Learn. Syst. 34(10): 7946-7955 (2023) - [j83]Shaojie Li, Mingbao Lin, Yan Wang, Yongjian Wu, Yonghong Tian, Ling Shao, Rongrong Ji:
Distilling a Powerful Student Model via Online Knowledge Distillation. IEEE Trans. Neural Networks Learn. Syst. 34(11): 8743-8752 (2023) - [c180]Liwei Huang, Zhengyu Ma, Liutao Yu, Huihui Zhou, Yonghong Tian:
Deep Spiking Neural Networks with High Representation Similarity Model Visual Pathways of Macaque and Mouse. AAAI 2023: 31-39 - [c179]Haojia Lin, Xiawu Zheng, Lijiang Li, Fei Chao, Shanshan Wang, Yan Wang, Yonghong Tian, Rongrong Ji:
Meta Architecture for Point Cloud Analysis. CVPR 2023: 17682-17691 - [c178]Zeyin Song, Yifan Zhao, Yujun Shi, Peixi Peng, Li Yuan, Yonghong Tian:
Learning with Fantasy: Semantic-Aware Virtual Contrastive Constraint for Few-Shot Class-Incremental Learning. CVPR 2023: 24183-24192 - [c177]Yangru Huang, Peixi Peng, Yifan Zhao, Yunpeng Zhai, Haoran Xu, Yonghong Tian:
Simoun: Synergizing Interactive Motion-appearance Understanding for Vision-based Reinforcement Learning. ICCV 2023: 176-185 - [c176]Yunpeng Zhai, Peixi Peng, Yifan Zhao, Yangru Huang, Yonghong Tian:
Stabilizing Visual Reinforcement Learning via Asymmetric Interactive Cooperation. ICCV 2023: 207-216 - [c175]Mingjian Ni, Guangyao Chen, Xiawu Zheng, Peixi Peng, Li Yuan, Yonghong Tian:
Learning Sparse Neural Networks with Identity Layers. ICIG (3) 2023: 91-102 - [c174]Yanqi Chen, Zhengyu Ma, Wei Fang, Xiawu Zheng, Zhaofei Yu, Yonghong Tian:
A Unified Framework for Soft Threshold Pruning. ICLR 2023 - [c173]Zhaokun Zhou, Yuesheng Zhu, Chao He, Yaowei Wang, Shuicheng Yan, Yonghong Tian, Li Yuan:
Spikformer: When Spiking Neural Network Meets Transformer. ICLR 2023 - [c172]Yunpeng Zhai, Peixi Peng, Chen Su, Yonghong Tian:
Dynamic Belief for Decentralized Multi-Agent Cooperative Learning. IJCAI 2023: 344-352 - [c171]Quanmin Liang, Xiawu Zheng, Kai Huang, Yan Zhang, Jie Chen, Yonghong Tian:
Event-Diffusion: Event-Based Image Reconstruction and Restoration with Diffusion Models. ACM Multimedia 2023: 3837-3846 - [c170]Wenrui Li, Xi-Le Zhao, Zhengyu Ma, Xingtao Wang, Xiaopeng Fan, Yonghong Tian:
Motion-Decoupled Spiking Transformer for Audio-Visual Zero-Shot Learning. ACM Multimedia 2023: 3994-4002 - [c169]Xinzi Cao, Xiawu Zheng, Yunhang Shen, Ke Li, Jie Chen, Yutong Lu, Yonghong Tian:
LocLoc: Low-level Cues and Local-area Guides for Weakly Supervised Object Localization. ACM Multimedia 2023: 5655-5664 - [c168]Jianyang Zhai, Xiawu Zheng, Chang-Dong Wang, Hui Li, Yonghong Tian:
Knowledge Prompt-tuning for Sequential Recommendation. ACM Multimedia 2023: 6451-6461 - [c167]Dongkai Wang, Shiliang Zhang, Yaowei Wang, Yonghong Tian, Tiejun Huang, Wen Gao:
HumVis: Human-Centric Visual Analysis System. ACM Multimedia 2023: 9396-9398 - [c166]Wei Fang, Zhaofei Yu, Zhaokun Zhou, Ding Chen, Yanqi Chen, Zhengyu Ma, Timothée Masquelier, Yonghong Tian:
Parallel Spiking Neurons with High Efficiency and Ability to Learn Long-term Dependencies. NeurIPS 2023 - [c165]Yangru Huang, Peixi Peng, Yifan Zhao, Haoran Xu, Mengyue Geng, Yonghong Tian:
Hierarchical Adaptive Value Estimation for Multi-modal Visual Reinforcement Learning. NeurIPS 2023 - [c164]Man Yao, Jiakui Hu, Zhaokun Zhou, Li Yuan, Yonghong Tian, Bo Xu, Guoqi Li:
Spike-driven Transformer. NeurIPS 2023 - [i111]Munan Ning, Donghuan Lu, Yujia Xie, Dongdong Chen, Dong Wei, Yefeng Zheng, Yonghong Tian, Shuicheng Yan, Li Yuan:
MADAv2: Advanced Multi-Anchor Based Active Domain Adaptation Segmentation. CoRR abs/2301.07354 (2023) - [i110]Guangyao Chen, Peixi Peng, Guoqi Li, Yonghong Tian:
Training Full Spike Neural Networks via Auxiliary Accumulation Pathway. CoRR abs/2301.11929 (2023) - [i109]Xiao Wang, Guangyao Chen, Guangwu Qian, Pengcheng Gao, Xiao-Yong Wei, Yaowei Wang, Yonghong Tian, Wen Gao:
Large-scale Multi-Modal Pre-trained Models: A Comprehensive Survey. CoRR abs/2302.10035 (2023) - [i108]Yanqi Chen, Zhengyu Ma, Wei Fang, Xiawu Zheng, Zhaofei Yu, Yonghong Tian:
A Unified Framework for Soft Threshold Pruning. CoRR abs/2302.13019 (2023) - [i107]Liwei Huang, Zhengyu Ma, Liutao Yu, Huihui Zhou, Yonghong Tian:
Deep Spiking Neural Networks with High Representation Similarity Model Visual Pathways of Macaque and Mouse. CoRR abs/2303.06060 (2023) - [i106]Zeyin Song, Yifan Zhao, Yujun Shi, Peixi Peng, Li Yuan, Yonghong Tian:
Learning with Fantasy: Semantic-Aware Virtual Contrastive Constraint for Few-Shot Class-Incremental Learning. CoRR abs/2304.00426 (2023) - [i105]Li Ma, Peixi Peng, Guangyao Chen, Yifan Zhao, Siwei Dong, Yonghong Tian:
Picking Up Quantization Steps for Compressed Image Classification. CoRR abs/2304.10714 (2023) - [i104]Chenlin Zhou, Liutao Yu, Zhaokun Zhou, Han Zhang, Zhengyu Ma, Huihui Zhou, Yonghong Tian:
Spikingformer: Spike-driven Residual Learning for Transformer-based Spiking Neural Network. CoRR abs/2304.11954 (2023) - [i103]Wei Fang, Zhaofei Yu, Zhaokun Zhou, Yanqi Chen, Zhengyu Ma, Timothée Masquelier, Yonghong Tian:
Parallel Spiking Neurons with High Efficiency and Long-term Dependencies Learning Ability. CoRR abs/2304.12760 (2023) - [i102]Chenlin Zhou, Han Zhang, Zhaokun Zhou, Liutao Yu, Zhengyu Ma, Huihui Zhou, Xiaopeng Fan, Yonghong Tian:
Enhancing the Performance of Transformer-based Spiking Neural Networks by SNN-optimized Downsampling with Precise Gradient Backpropagation. CoRR abs/2305.05954 (2023) - [i101]Man Yao, Yuhong Chou, Guangshe Zhao, Xiawu Zheng, Yonghong Tian, Bo Xu, Guoqi Li:
Probabilistic Modeling: Proving the Lottery Ticket Hypothesis in Spiking Neural Network. CoRR abs/2305.12148 (2023) - [i100]Munan Ning, Yujia Xie, Dongdong Chen, Zeyin Song, Lu Yuan, Yonghong Tian, Qixiang Ye, Li Yuan:
Album Storytelling with Iterative Story-aware Captioning and Large Language Models. CoRR abs/2305.12943 (2023) - [i99]Haonan Qiu, Zeyin Song, Yanqi Chen, Munan Ning, Wei Fang, Tao Sun, Zhengyu Ma, Li Yuan, Yonghong Tian:
Temporal Contrastive Learning for Spiking Neural Networks. CoRR abs/2305.13909 (2023) - [i98]Kaiwei Che, Zhaokun Zhou, Zhengyu Ma, Wei Fang, Yanqi Chen, Shuaijie Shen, Li Yuan, Yonghong Tian:
Auto-Spikformer: Spikformer Architecture Search. CoRR abs/2306.00807 (2023) - [i97]Liwei Huang, Zhengyu Ma, Huihui Zhou, Yonghong Tian:
Deep recurrent spiking neural networks capture both static and dynamic representations of the visual cortex under movie stimuli. CoRR abs/2306.01354 (2023) - [i96]Yunpeng Zhai, Peixi Peng, Mengxi Jia, Shiyong Li, Weiqiang Chen, Xuesong Gao, Yonghong Tian:
Population-Based Evolutionary Gaming for Unsupervised Person Re-identification. CoRR abs/2306.05236 (2023) - [i95]Yifan Zhao, Tong Zhang, Jia Li, Yonghong Tian:
Dual Adaptive Representation Alignment for Cross-domain Few-shot Learning. CoRR abs/2306.10511 (2023) - [i94]Man Yao, Jiakui Hu, Zhaokun Zhou, Li Yuan, Yonghong Tian, Bo Xu, Guoqi Li:
Spike-driven Transformer. CoRR abs/2307.01694 (2023) - [i93]Mingjian Ni, Guangyao Chen, Xiawu Zheng, Peixi Peng, Li Yuan, Yonghong Tian:
Learning Sparse Neural Networks with Identity Layers. CoRR abs/2307.07389 (2023) - [i92]Dianze Li, Jianing Li, Yonghong Tian:
SODFormer: Streaming Object Detection with Transformer Using Events and Frames. CoRR abs/2308.04047 (2023) - [i91]Xiao Wang, Zongzhen Wu, Yao Rong, Lin Zhu, Bo Jiang, Jin Tang, Yonghong Tian:
SSTFormer: Bridging Spiking Neural Network and Memory Support Transformer for Frame-Event based Recognition. CoRR abs/2308.04369 (2023) - [i90]Jianyang Zhai, Xiawu Zheng, Chang-Dong Wang, Hui Li, Yonghong Tian:
Knowledge Prompt-tuning for Sequential Recommendation. CoRR abs/2308.08459 (2023) - [i89]Xiao Wang, Shiao Wang, Chuanming Tang, Lin Zhu, Bo Jiang, Yonghong Tian, Jin Tang:
Event Stream-based Visual Object Tracking: A High-Resolution Benchmark Dataset and A Novel Baseline. CoRR abs/2309.14611 (2023) - [i88]Wangbo Yu, Li Yuan, Yan-Pei Cao, Xiangjun Gao, Xiaoyu Li, Long Quan, Ying Shan, Yonghong Tian:
HiFi-123: Towards High-fidelity One Image to 3D Content Generation. CoRR abs/2310.06744 (2023) - [i87]Wei Fang, Yanqi Chen, Jianhao Ding, Zhaofei Yu, Timothée Masquelier, Ding Chen, Liwei Huang, Huihui Zhou, Guoqi Li, Yonghong Tian:
SpikingJelly: An open-source machine learning infrastructure platform for spike-based intelligence. CoRR abs/2310.16620 (2023) - [i86]Xiao Wang, Yao Rong, Shiao Wang, Yuan Chen, Zhe Wu, Bo Jiang, Yonghong Tian, Jin Tang:
Unleashing the Power of CNN and Transformer for Balanced RGB-Event Video Recognition. CoRR abs/2312.11128 (2023) - [i85]Jiaxi Cui, Liuzhenghao Lv, Jing Wen, Rongsheng Wang, Jing Tang, Yonghong Tian, Li Yuan:
Machine Mindset: An MBTI Exploration of Large Language Models. CoRR abs/2312.12999 (2023) - 2022
- [j82]Tao Wei, Yonghong Tian, Yaowei Wang, Yun Liang, Chang Wen Chen:
Optimized separable convolution: Yet another efficient convolution operator. AI Open 3: 162-171 (2022) - [j81]Mingbao Lin, Rongrong Ji, Xiaoshuai Sun, Baochang Zhang, Feiyue Huang, Yonghong Tian, Dacheng Tao:
Fast Class-Wise Updating for Online Hashing. IEEE Trans. Pattern Anal. Mach. Intell. 44(5): 2453-2467 (2022) - [j80]Guangyao Chen, Peixi Peng, Xiangqian Wang, Yonghong Tian:
Adversarial Reciprocal Points Learning for Open Set Recognition. IEEE Trans. Pattern Anal. Mach. Intell. 44(11): 8065-8081 (2022) - [j79]Qi Yan, Yajing Zheng, Shanshan Jia, Yichen Zhang, Zhaofei Yu, Feng Chen, Yonghong Tian, Tiejun Huang, Jian K. Liu:
Revealing Fine Structures of the Retinal Receptive Field by Deep-Learning Networks. IEEE Trans. Cybern. 52(1): 39-50 (2022) - [j78]Shanshan Jia, Zhaofei Yu, Arno Onken, Yonghong Tian, Tie-Jun Huang, Jian K. Liu:
Neural System Identification With Spike-Triggered Non-Negative Matrix Factorization. IEEE Trans. Cybern. 52(6): 4772-4783 (2022) - [j77]Jianing Li, Jia Li, Lin Zhu, Xijie Xiang, Tiejun Huang, Yonghong Tian:
Asynchronous Spatio-Temporal Memory Network for Continuous Event-Based Object Detection. IEEE Trans. Image Process. 31: 2975-2987 (2022) - [j76]Chong Zhang, Zongxian Li, Jingjing Liu, Peixi Peng, Qixiang Ye, Shijian Lu, Tie-Jun Huang, Yonghong Tian:
Self-Guided Adaptation: Progressive Representation Alignment for Domain Adaptive Object Detection. IEEE Trans. Multim. 24: 2246-2258 (2022) - [j75]Xiao Wang, Jin Tang, Bin Luo, Yaowei Wang, Yonghong Tian, Feng Wu:
Tracking by Joint Local and Global Search: A Target-Aware Attention-Based Approach. IEEE Trans. Neural Networks Learn. Syst. 33(11): 6931-6945 (2022) - [j74]Mingbao Lin, Liujuan Cao, Shaojie Li, Qixiang Ye, Yonghong Tian, Jianzhuang Liu, Qi Tian, Rongrong Ji:
Filter Sketch for Network Pruning. IEEE Trans. Neural Networks Learn. Syst. 33(12): 7091-7100 (2022) - [c163]Jianing Li, Xiao Wang, Lin Zhu, Jia Li, Tiejun Huang, Yonghong Tian:
Retinomorphic Object Detection in Asynchronous Visual Streams. AAAI 2022: 1332-1340 - [c162]Tianyu Wang, Wenming Yang, Jie Chen, Yonghong Tian, Dong-Qing Wei:
ConformerDTI: Local Features Coupling Global Representations for Drug-Target Interaction Prediction. BIBM 2022: 1227-1234 - [c161]Lin Zhu, Xiao Wang, Yi Chang, Jianing Li, Tiejun Huang, Yonghong Tian:
Event-based Video Reconstruction via Potential-assisted Spiking Neural Network. CVPR 2022: 3584-3594 - [c160]Yuntong Ye, Changfeng Yu, Yi Chang, Lin Zhu, Xi-Le Zhao, Luxin Yan, Yonghong Tian:
Unsupervised Deraining: Where Contrastive Learning Meets Self-similarity. CVPR 2022: 5811-5820 - [c159]Xuhui Yang, Yaowei Wang, Ke Chen, Yong Xu, Yonghong Tian:
Fine-Grained Object Classification via Self-Supervised Pose Alignment. CVPR 2022: 7389-7398 - [c158]Qinqin Zhou, Kekai Sheng, Xiawu Zheng, Ke Li, Xing Sun, Yonghong Tian, Jie Chen, Rongrong Ji:
Training-free Transformer Architecture Search. CVPR 2022: 10884-10893 - [c157]Xiawu Zheng, Xiang Fei, Lei Zhang, Chenglin Wu, Fei Chao, Jianzhuang Liu, Wei Zeng, Yonghong Tian, Rongrong Ji:
Neural Architecture Search with Representation Mutual Information. CVPR 2022: 11902-11911 - [c156]Yunshan Zhong, Mingbao Lin, Gongrui Nan, Jianzhuang Liu, Baochang Zhang, Yonghong Tian, Rongrong Ji:
IntraQ: Learning Synthetic Images with Intra-Class Heterogeneity for Zero-Shot Network Quantization. CVPR 2022: 12329-12338 - [c155]Zhe Lin, Zike Yuan, Jieru Zhao, Wei Zhang, Hui Wang, Yonghong Tian:
PowerGear: Early-Stage Power Estimation in FPGA HLS via Heterogeneous Edge-Centric GNNs. DATE 2022: 1341-1346 - [c154]Yatian Pang, Wenxiao Wang, Francis E. H. Tay, Wei Liu, Yonghong Tian, Li Yuan:
Masked Autoencoders for Point Cloud Self-supervised Learning. ECCV (2) 2022: 604-621 - [c153]Junwei Zhao, Zhaofei Yu, Lei Ma, Ziluo Ding, Shiliang Zhang, Yonghong Tian, Tiejun Huang:
Modeling The Detection Capability Of High-Speed Spiking Cameras. ICASSP 2022: 4653-4657 - [c152]Yixuan Wang, Jianing Li, Lin Zhu, Xijie Xiang, Tiejun Huang, Yonghong Tian:
Learning Stereo Depth Estimation with Bio-Inspired Spike Cameras. ICME 2022: 1-6 - [c151]Xijie Xiang, Lin Zhu, Jianing Li, Yonghong Tian, Tiejun Huang:
Temporal Up-Sampling for Asynchronous Events. ICME 2022: 1-6 - [c150]Yanqi Chen, Zhaofei Yu, Wei Fang, Zhengyu Ma, Tiejun Huang, Yonghong Tian:
State Transition of Dendritic Spines Improves Learning of Sparse Spiking Neural Networks. ICML 2022: 3701-3715 - [c149]Xu Liu, Jianing Li, Xianqi Zhang, Jingyuan Sun, Xiaopeng Fan, Yonghong Tian:
Learning Visible Surface Area Estimation for Irregular Objects. ACM Multimedia 2022: 2333-2343 - [c148]Yangru Huang, Peixi Peng, Yifan Zhao, Guangyao Chen, Yonghong Tian:
Spectrum Random Masking for Generalization in Image-based Reinforcement Learning. NeurIPS 2022 - [i84]Tiejun Huang, Yajing Zheng, Zhaofei Yu, Rui Chen, Yuan Li, Ruiqin Xiong, Lei Ma, Junwei Zhao, Siwei Dong, Lin Zhu, Jianing Li, Shanshan Jia, Yihua Fu, Boxin Shi, Si Wu, Yonghong Tian:
1000x Faster Camera and Machine Vision with Ordinary Devices. CoRR abs/2201.09302 (2022) - [i83]Ding Chen, Peixi Peng, Tiejun Huang, Yonghong Tian:
Deep Reinforcement Learning with Spiking Q-learning. CoRR abs/2201.09754 (2022) - [i82]Zhe Lin, Zike Yuan, Jieru Zhao, Wei Zhang, Hui Wang, Yonghong Tian:
PowerGear: Early-Stage Power Estimation in FPGA HLS via Heterogeneous Edge-Centric GNNs. CoRR abs/2201.10114 (2022) - [i81]Lin Zhu, Xiao Wang, Yi Chang, Jianing Li, Tiejun Huang, Yonghong Tian:
Event-based Video Reconstruction via Potential-assisted Spiking Neural Network. CoRR abs/2201.10943 (2022) - [i80]Youneng Bao, Fangyang Meng, Wen Tan, Chao Li, Yonghong Tian, Yongsheng Liang:
Transformations in Learned Image Compression from a Modulation Perspective. CoRR abs/2203.02158 (2022) - [i79]Lantian Xue, Yixiong Zou, Peixi Peng, Yonghong Tian, Tiejun Huang:
Annotation Efficient Person Re-Identification with Diverse Cluster-Based Pair Selection. CoRR abs/2203.05395 (2022) - [i78]Yatian Pang, Wenxiao Wang, Francis E. H. Tay, Wei Liu, Yonghong Tian, Li Yuan:
Masked Autoencoders for Point Cloud Self-supervised Learning. CoRR abs/2203.06604 (2022) - [i77]Yuntong Ye, Changfeng Yu, Yi Chang, Lin Zhu, Xile Zhao, Luxin Yan, Yonghong Tian:
Unsupervised Deraining: Where Contrastive Learning Meets Self-similarity. CoRR abs/2203.11509 (2022) - [i76]Qinqin Zhou, Kekai Sheng, Xiawu Zheng, Ke Li, Xing Sun, Yonghong Tian, Jie Chen, Rongrong Ji:
Training-free Transformer Architecture Search. CoRR abs/2203.12217 (2022) - [i75]Xuhui Yang, Yaowei Wang, Ke Chen, Yong Xu, Yonghong Tian:
Fine-Grained Object Classification via Self-Supervised Pose Alignment. CoRR abs/2203.15987 (2022) - [i74]Xijie Xiang, Lin Zhu, Jianing Li, Yonghong Tian, Tiejun Huang:
Temporal Up-Sampling for Asynchronous Events. CoRR abs/2208.08721 (2022) - [i73]Man Yao, Guangshe Zhao, Hengyu Zhang, Yifan Hu, Lei Deng, Yonghong Tian, Bo Xu, Guoqi Li:
Attention Spiking Neural Networks. CoRR abs/2209.13929 (2022) - [i72]Zhaokun Zhou, Yuesheng Zhu, Chao He, Yaowei Wang, Shuicheng Yan, Yonghong Tian, Li Yuan:
Spikformer: When Spiking Neural Network Meets Transformer. CoRR abs/2209.15425 (2022) - [i71]Yi Chang, Yun Guo, Yuntong Ye, Changfeng Yu, Lin Zhu, Xile Zhao, Luxin Yan, Yonghong Tian:
Unsupervised Deraining: Where Asymmetric Contrastive Learning Meets Self-similarity. CoRR abs/2211.00837 (2022) - [i70]Xiao Wang, Zongzhen Wu, Bo Jiang, Zhimin Bao, Lin Zhu, Guoqi Li, Yaowei Wang, Yonghong Tian:
HARDVS: Revisiting Human Activity Recognition with Dynamic Vision Sensors. CoRR abs/2211.09648 (2022) - [i69]Chuanming Tang, Xiao Wang, Ju Huang, Bo Jiang, Lin Zhu, Jianlin Zhang, Yaowei Wang, Yonghong Tian:
Revisiting Color-Event based Tracking: A Unified Network, Dataset, and Metric. CoRR abs/2211.11010 (2022) - [i68]Haojia Lin, Xiawu Zheng, Lijiang Li, Fei Chao, Shanshan Wang, Yan Wang, Yonghong Tian, Rongrong Ji:
Meta Architecure for Point Cloud Analysis. CoRR abs/2211.14462 (2022) - [i67]Xu Liu, Jianing Li, Xiaopeng Fan, Yonghong Tian:
Event-based Monocular Dense Depth Estimation with Recurrent Transformers. CoRR abs/2212.02791 (2022) - [i66]Feng Lin, Wenze Hu, Yaowei Wang, Yonghong Tian, Guangming Lu, Fanglin Chen, Yong Xu, Xiaoyu Wang:
Million-scale Object Detection with Large Vision Model. CoRR abs/2212.09408 (2022) - [i65]Yifan Zhao, Jia Li, Xiaowu Chen, Yonghong Tian:
Part-guided Relational Transformers for Fine-grained Visual Recognition. CoRR abs/2212.13685 (2022) - [i64]Yifan Zhao, Jia Li, Yonghong Tian:
Parsing Objects at a Finer Granularity: A Survey. CoRR abs/2212.13693 (2022) - 2021
- [j73]Yifan Zhao, Jia Li, Yu Zhang, Yafei Song, Yonghong Tian:
Ordinal Multi-Task Part Segmentation With Recurrent Prior Generation. IEEE Trans. Pattern Anal. Mach. Intell. 43(5): 1636-1648 (2021) - [j72]Xiawu Zheng, Rongrong Ji, Yuhang Chen, Qiang Wang, Baochang Zhang, Jie Chen, Qixiang Ye, Feiyue Huang, Yonghong Tian:
MIGO-NAS: Towards Fast and Generalizable Neural Architecture Search. IEEE Trans. Pattern Anal. Mach. Intell. 43(9): 2936-2952 (2021) - [j71]Jipeng Wu, Haibo Xu, Shengchuan Zhang, Xi Li, Jie Chen, Jiawen Zheng, Yue Gao, Yonghong Tian, Yongsheng Liang, Rongrong Ji:
Joint segmentation and detection of COVID-19 via a sequential region generation network. Pattern Recognit. 118: 108006 (2021) - [j70]Lin Zhu, Siwei Dong, Tiejun Huang, Yonghong Tian:
Hybrid Coding of Spatiotemporal Spike Data for a Bio-Inspired Camera. IEEE Trans. Circuits Syst. Video Technol. 31(7): 2837-2851 (2021) - [j69]Wen Gao, Siwei Ma, Lingyu Duan, Yonghong Tian, Peiyin Xing, Yaowei Wang, Shanshe Wang, Huizhu Jia, Tiejun Huang:
Digital Retina: A Way to Make the City Brain More Efficient by Visual Coding. IEEE Trans. Circuits Syst. Video Technol. 31(11): 4147-4161 (2021) - [j68]Xiao Wang, Zhe Chen, Jin Tang, Bin Luo, Yaowei Wang, Yonghong Tian, Feng Wu:
Dynamic Attention Guided Multi-Trajectory Analysis for Single Object Tracking. IEEE Trans. Circuits Syst. Video Technol. 31(12): 4895-4908 (2021) - [j67]Yi Chang, Luxin Yan, Bingling Chen, Sheng Zhong, Yonghong Tian:
Hyperspectral Image Restoration: Where Does the Low-Rank Property Exist. IEEE Trans. Geosci. Remote. Sens. 59(8): 6869-6884 (2021) - [j66]Jia Li, Jinming Su, Changqun Xia, Mingcan Ma, Yonghong Tian:
Salient Object Detection With Purificatory Mechanism and Structural Similarity Loss. IEEE Trans. Image Process. 30: 6855-6868 (2021) - [j65]Yifan Zhao, Jia Li, Xiaowu Chen, Yonghong Tian:
Part-Guided Relational Transformers for Fine-Grained Visual Recognition. IEEE Trans. Image Process. 30: 9470-9481 (2021) - [j64]Lin Zhu, Xiurong Jiang, Jianing Li, Yuanhong Hao, Yonghong Tian:
Motion-Aware Structured Matrix Factorization for Foreground Detection in Complex Scenes. ACM Trans. Multim. Comput. Commun. Appl. 16(4): 123:1-123:23 (2021) - [c147]Mengxi Jia, Xinhua Cheng, Yunpeng Zhai, Shijian Lu, Siwei Ma, Yonghong Tian, Jian Zhang:
Matching on Sets: Conquer Occluded Person Re-identification Without Alignment. AAAI 2021: 1673-1681 - [c146]Yajing Zheng, Lingxiao Zheng, Zhaofei Yu, Boxin Shi, Yonghong Tian, Tiejun Huang:
High-Speed Image Reconstruction Through Short-Term Plasticity for Spiking Cameras. CVPR 2021: 6358-6367 - [c145]Xiao Wang, Xiujun Shu, Zhipeng Zhang, Bo Jiang, Yaowei Wang, Yonghong Tian, Feng Wu:
Towards More Flexible and Accurate Object Tracking With Natural Language: Algorithms and Benchmark. CVPR 2021: 13763-13773 - [c144]Li Ma, Peixi Peng, Peiyin Xing, Yaowei Wang, Yonghong Tian:
Reducing Image Compression Artifacts for Deep Neural Networks. DCC 2021: 355 - [c143]Peiyin Xing, Yangang Cai, Xufeng Li, Yonghong Tian:
Short Video Performance Evaluation of AV1 Coding Tools. DCC 2021: 378 - [c142]Peiyin Xing, Xiaofei Liu, Peixi Peng, Tiejun Huang, Yonghong Tian:
Allocating DNN Layers Computation Between Front-End Devices and The Cloud Server for Video Big Data Processing. ICASSP 2021: 8483-8487 - [c141]Ivan V. Bajic, Weisi Lin, Yonghong Tian:
Collaborative Intelligence: Challenges and Opportunities. ICASSP 2021: 8493-8497 - [c140]Jiajian Zhao, Yifan Zhao, Jia Li, Ke Yan, Yonghong Tian:
Heterogeneous Relational Complement for Vehicle Re-identification. ICCV 2021: 205-214 - [c139]Guangyao Chen, Peixi Peng, Li Ma, Jia Li, Lin Du, Yonghong Tian:
Amplitude-Phase Recombination: Rethinking Robustness of Convolutional Neural Networks in Frequency Domain. ICCV 2021: 448-457 - [c138]Lin Zhu, Jianing Li, Xiao Wang, Tiejun Huang, Yonghong Tian:
NeuSpike-Net: High Speed Video Reconstruction via Bio-inspired Neuromorphic Cameras. ICCV 2021: 2380-2389 - [c137]Wei Fang, Zhaofei Yu, Yanqi Chen, Timothée Masquelier, Tiejun Huang, Yonghong Tian:
Incorporating Learnable Membrane Time Constant to Enhance Learning of Spiking Neural Networks. ICCV 2021: 2641-2651 - [c136]Zihan Xu, Mingbao Lin, Jianzhuang Liu, Jie Chen, Ling Shao, Yue Gao, Yonghong Tian, Rongrong Ji:
ReCU: Reviving the Dead Weights in Binary Neural Networks. ICCV 2021: 5178-5188 - [c135]Xuebo Shan, Peixi Peng, Yunpeng Zhai, Chong Zhang, Tiejun Huang, Yonghong Tian:
Generate And Adjust: A Novel Framework For Semi-Supervised Pedestrian Attribute Recognition. ICME Workshops 2021: 1-6 - [c134]Jing Song, Peixi Peng, Yunpeng Zhai, Chong Zhang, Yonghong Tian:
Adaptive Multi-Scale Semantic Fusion Network For Zero-Shot Learning. ICME Workshops 2021: 1-6 - [c133]Yanqi Chen, Zhaofei Yu, Wei Fang, Tiejun Huang, Yonghong Tian:
Pruning of Deep Spiking Neural Networks through Gradient Rewiring. IJCAI 2021: 1713-1721 - [c132]Jianhao Ding, Zhaofei Yu, Yonghong Tian, Tiejun Huang:
Optimal ANN-SNN Conversion for Fast and Accurate Inference in Deep Spiking Neural Networks. IJCAI 2021: 2328-2336 - [c131]Mengjun Cheng, Zishang Kong, Guoli Song, Yonghong Tian, Yongsheng Liang, Jie Chen:
Learnable Oriented-Derivative Network for Polyp Segmentation. MICCAI (1) 2021: 720-730 - [c130]Zhaodong Kang, Jianing Li, Lin Zhu, Yonghong Tian:
Retinomorphic Sensing: A Novel Paradigm for Future Multimedia Computing. ACM Multimedia 2021: 144-152 - [c129]Yixiong Zou, Shanghang Zhang, Guangyao Chen, Yonghong Tian, Kurt Keutzer, José M. F. Moura:
Annotation-Efficient Untrimmed Video Action Recognition. ACM Multimedia 2021: 487-495 - [c128]Yixiong Zou, Shanghang Zhang, Jianpeng Yu, Yonghong Tian, José M. F. Moura:
Revisiting Mid-Level Patterns for Cross-Domain Few-Shot Recognition. ACM Multimedia 2021: 741-749 - [c127]Daxin Gu, Jia Li, Yu Zhang, Yonghong Tian:
How to Learn a Domain-Adaptive Event Simulator? ACM Multimedia 2021: 1275-1283 - [c126]Wei Fang, Zhaofei Yu, Yanqi Chen, Tiejun Huang, Timothée Masquelier, Yonghong Tian:
Deep Residual Learning in Spiking Neural Networks. NeurIPS 2021: 21056-21069 - [c125]Gongjie Zhang, Kaiwen Cui, Rongliang Wu, Shijian Lu, Yonghong Tian:
PNPDet: Efficient Few-shot Detection without Forgetting via Plug-and-Play Sub-networks. WACV 2021: 3822-3831 - [i63]Liwen Zhu, Peixi Peng, Zongqing Lu, Xiangqian Wang, Yonghong Tian:
Variationally and Intrinsically motivated reinforcement learning for decentralized traffic signal control. CoRR abs/2101.00746 (2021) - [i62]Wei Fang, Zhaofei Yu, Timothée Masquelier, Yanqi Chen, Tiejun Huang, Yonghong Tian:
Spike-based Residual Blocks. CoRR abs/2102.04159 (2021) - [i61]Ivan V. Bajic, Weisi Lin, Yonghong Tian:
Collaborative Intelligence: Challenges and Opportunities. CoRR abs/2102.06841 (2021) - [i60]Guangyao Chen, Peixi Peng, Xiangqian Wang, Yonghong Tian:
Adversarial Reciprocal Points Learning for Open Set Recognition. CoRR abs/2103.00953 (2021) - [i59]Zihan Xu, Mingbao Lin, Jianzhuang Liu, Jie Chen, Ling Shao, Yue Gao, Yonghong Tian, Rongrong Ji:
ReCU: Reviving the Dead Weights in Binary Neural Networks. CoRR abs/2103.12369 (2021) - [i58]Shaojie Li, Mingbao Lin, Yan Wang, Feiyue Huang, Yongjian Wu, Yonghong Tian, Ling Shao, Rongrong Ji:
Distilling a Powerful Student Model via Online Knowledge Distillation. CoRR abs/2103.14473 (2021) - [i57]Xiao Wang, Zhe Chen, Jin Tang, Bin Luo, Yaowei Wang, Yonghong Tian, Feng Wu:
Dynamic Attention guided Multi-Trajectory Analysis for Single Object Tracking. CoRR abs/2103.16086 (2021) - [i56]Xiao Wang, Xiujun Shu, Zhipeng Zhang, Bo Jiang, Yaowei Wang, Yonghong Tian, Feng Wu:
Towards More Flexible and Accurate Object Tracking with Natural Language: Algorithms and Benchmark. CoRR abs/2103.16746 (2021) - [i55]Siwei Dong, Tiejun Huang, Yonghong Tian:
Spike Camera and Its Coding Methods. CoRR abs/2104.04669 (2021) - [i54]Yuxin Zhang, Mingbao Lin, Fei Chao, Yan Wang, Yongjian Wu, Feiyue Huang, Mingliang Xu, Yonghong Tian, Rongrong Ji:
Lottery Jackpots Exist in Pre-trained Models. CoRR abs/2104.08700 (2021) - [i53]Yuxin Zhang, Mingbao Lin, Chia-Wen Lin, Jie Chen, Feiyue Huang, Yongjian Wu, Yonghong Tian, Rongrong Ji:
Carrying out CNN Channel Pruning in a White Box. CoRR abs/2104.11883 (2021) - [i52]Wei Zeng, Xiaozhe Ren, Teng Su, Hui Wang, Yi Liao, Zhiwei Wang, Xin Jiang, ZhenZhang Yang, Kaisheng Wang, Xiaoda Zhang, Chen Li, Ziyan Gong, Yifan Yao, Xinjing Huang, Jun Wang, Jianfeng Yu, Qi Guo, Yue Yu, Yan Zhang, Jin Wang, Hengtao Tao, Dasen Yan, Zexuan Yi, Fang Peng, Fangqing Jiang, Han Zhang, Lingfeng Deng, Yehong Zhang, Zhe Lin, Chao Zhang, Shaojie Zhang, Mingyue Guo, Shanzhi Gu, Gaojun Fan, Yaowei Wang, Xuefeng Jin, Qun Liu, Yonghong Tian:
PanGu-α: Large-scale Autoregressive Pretrained Chinese Language Models with Auto-parallel Computation. CoRR abs/2104.12369 (2021) - [i51]Yanqi Chen, Zhaofei Yu, Wei Fang, Tiejun Huang, Yonghong Tian:
Pruning of Deep Spiking Neural Networks through Gradient Rewiring. CoRR abs/2105.04916 (2021) - [i50]Jianhao Ding, Zhaofei Yu, Yonghong Tian, Tiejun Huang:
Optimal ANN-SNN Conversion for Fast and Accurate Inference in Deep Spiking Neural Networks. CoRR abs/2105.11654 (2021) - [i49]Xiao Wang, Jin Tang, Bin Luo, Yaowei Wang, Yonghong Tian, Feng Wu:
Tracking by Joint Local and Global Search: A Target-aware Attention based Approach. CoRR abs/2106.04840 (2021) - [i48]Mingbao Lin, Rongrong Ji, Bohong Chen, Fei Chao, Jianzhuang Liu, Wei Zeng, Yonghong Tian, Qi Tian:
Training Compact CNNs for Image Classification using Dynamic-coded Filter Fusion. CoRR abs/2107.06916 (2021) - [i47]Xiao Wang, Xiujun Shu, Shiliang Zhang, Bo Jiang, Yaowei Wang, Yonghong Tian, Feng Wu:
MFGNet: Dynamic Modality-Aware Filter Generation for RGB-T Tracking. CoRR abs/2107.10433 (2021) - [i46]Xiao Wang, Jianing Li, Lin Zhu, Zhipeng Zhang, Zhe Chen, Xin Li, Yaowei Wang, Yonghong Tian, Feng Wu:
VisEvent: Reliable Object Tracking via Collaboration of Frame and Event Flows. CoRR abs/2108.05015 (2021) - [i45]Guangyao Chen, Peixi Peng, Li Ma, Jia Li, Lin Du, Yonghong Tian:
Amplitude-Phase Recombination: Rethinking Robustness of Convolutional Neural Networks in Frequency Domain. CoRR abs/2108.08487 (2021) - [i44]Xiawu Zheng, Yuexiao Ma, Teng Xi, Gang Zhang, Errui Ding, Yuchao Li, Jie Chen, Yonghong Tian, Rongrong Ji:
An Information Theory-inspired Strategy for Automatic Network Pruning. CoRR abs/2108.08532 (2021) - [i43]Bohong Chen, Mingbao Lin, Liujuan Cao, Jianzhuang Liu, Qixiang Ye, Baochang Zhang, Wei Zeng, Yonghong Tian, Rongrong Ji:
Prioritized Subnet Sampling for Resource-Adaptive Supernet Training. CoRR abs/2109.05432 (2021) - [i42]Jiajian Zhao, Yifan Zhao, Jia Li, Ke Yan, Yonghong Tian:
Heterogeneous Relational Complement for Vehicle Re-identification. CoRR abs/2109.07894 (2021) - [i41]Yunshan Zhong, Mingbao Lin, Gongrui Nan, Jianzhuang Liu, Baochang Zhang, Yonghong Tian, Rongrong Ji:
IntraQ: Learning Synthetic Images with Intra-Class Heterogeneity for Zero-Shot Network Quantization. CoRR abs/2111.09136 (2021) - 2020
- [j63]Weiqing Min, Yonghong Tian, Zi Huang, Wen-Huang Cheng, Abdulmotaleb El-Saddik:
Urban Multimedia Computing: Emerging Methods in Multimedia Computing for Urban Data Analysis and Applications. IEEE Multim. 27(3): 8-11 (2020) - [j62]Yonghong Tian, Qi Wu, Yue Zhang:
A Convolutional Long Short-Term Memory Neural Network Based Prediction Model. Int. J. Comput. Commun. Control 15(5) (2020) - [j61]Jia Li, Jinming Su, Changqun Xia, Yonghong Tian:
Distortion-Adaptive Salient Object Detection in 360° Omnidirectional Images. IEEE J. Sel. Top. Signal Process. 14(1): 38-48 (2020) - [j60]Yichen Zhang, Shanshan Jia, Yajing Zheng, Zhaofei Yu, Yonghong Tian, Siwei Ma, Tiejun Huang, Jian K. Liu:
Reconstruction of natural visual scenes from neural spikes with deep neural networks. Neural Networks 125: 19-30 (2020) - [j59]Yajing Zheng, Shanshan Jia, Zhaofei Yu, Tiejun Huang, Jian K. Liu, Yonghong Tian:
Probabilistic inference of binary Markov random fields in spiking neural networks through mean-field approximation. Neural Networks 126: 42-51 (2020) - [j58]Lin Ding, Yonghong Tian, Hongfei Fan, Changhuai Chen, Tiejun Huang:
Joint Coding of Local and Global Deep Features in Videos for Visual Search. IEEE Trans. Image Process. 29: 3734-3749 (2020) - [j57]Kui Fu, Jia Li, Yu Zhang, Hongze Shen, Yonghong Tian:
Model-Guided Multi-Path Knowledge Aggregation for Aerial Saliency Prediction. IEEE Trans. Image Process. 29: 7117-7127 (2020) - [j56]Yonghong Tian, Cees G. M. Snoek, Jingdong Wang, Zhu Liu, Rainer Lienhart, Susanne Boll:
Guest Editorial Multimedia Computing With Interpretable Machine Learning. IEEE Trans. Multim. 22(7): 1661-1666 (2020) - [j55]Yixiong Zou, Yemin Shi, Daochen Shi, Yaowei Wang, Yongsheng Liang, Yonghong Tian:
Adaptation-Oriented Feature Projection for One-Shot Action Recognition. IEEE Trans. Multim. 22(12): 3166-3179 (2020) - [j54]Youyang Qu, Shui Yu, Wanlei Zhou, Yonghong Tian:
GAN-Driven Personalized Spatial-Temporal Private Data Sharing in Cyber-Physical Social Systems. IEEE Trans. Netw. Sci. Eng. 7(4): 2576-2586 (2020) - [c124]Zhaoyi Yan, Yemin Shi, Yaowei Wang, Mingkui Tan, Zheyang Li, Wenming Tan, Yonghong Tian:
Towards Accurate Low Bit-Width Quantization with Multiple Phase Adaptations. AAAI 2020: 6591-6598 - [c123]Lin Zhu, Siwei Dong, Jianing Li, Tiejun Huang, Yonghong Tian:
Retina-Like Visual Image Reconstruction via Spiking Neural Model. CVPR 2020: 1435-1443 - [c122]Mingbao Lin, Rongrong Ji, Yan Wang, Yichen Zhang, Baochang Zhang, Yonghong Tian, Ling Shao:
HRank: Filter Pruning Using High-Rank Feature Map. CVPR 2020: 1526-1535 - [c121]Yunpeng Zhai, Shijian Lu, Qixiang Ye, Xuebo Shan, Jie Chen, Rongrong Ji, Yonghong Tian:
AD-Cluster: Augmented Discriminative Clustering for Domain Adaptive Person Re-Identification. CVPR 2020: 9018-9027 - [c120]Xiawu Zheng, Rongrong Ji, Qiang Wang, Qixiang Ye, Zhenguo Li, Yonghong Tian, Qi Tian:
Rethinking Performance Estimation in Neural Architecture Search. CVPR 2020: 11353-11362 - [c119]Peiyin Xing, Peixi Peng, Yongsheng Liang, Tiejun Huang, Yonghong Tian:
Binary Representation and High Efficient Compression of 3D CNN Features for Action Recognition. DCC 2020: 400 - [c118]Guangyao Chen, Limeng Qiao, Yemin Shi, Peixi Peng, Jia Li, Tiejun Huang, Shiliang Pu, Yonghong Tian:
Learning Open Set Network with Discriminative Reciprocal Points. ECCV (3) 2020: 507-522 - [c117]Yunpeng Zhai, Qixiang Ye, Shijian Lu, Mengxi Jia, Rongrong Ji, Yonghong Tian:
Multiple Expert Brainstorming for Domain Adaptive Person Re-Identification. ECCV (7) 2020: 594-611 - [c116]Mingbao Lin, Rongrong Ji, Yuxin Zhang, Baochang Zhang, Yongjian Wu, Yonghong Tian:
Channel Pruning via Automatic Structure Search. IJCAI 2020: 673-679 - [c115]Zhongyi Huang, Yao Ding, Guoli Song, Lin Wang, Ruizhe Geng, Hongliang He, Shan Du, Xia Liu, Yonghong Tian, Yongsheng Liang, S. Kevin Zhou, Jie Chen:
BCData: A Large-Scale Dataset and Benchmark for Cell Detection and Counting. MICCAI (5) 2020: 289-298 - [c114]Lihui Su, Yaowei Wang, Yonghong Tian:
R-SiamNet: ROI-Align Pooling Baesd Siamese Network for Object Tracking. MIPR 2020: 19-24 - [c113]Zhaoyi Yan, Peiyin Xing, Yaowei Wang, Yonghong Tian:
Prune it Yourself: Automated Pruning by Multiple Level Sensitivity. MIPR 2020: 73-78 - [c112]Quan Zhang, Yemin Shi, Lechun Zhang, Yaowei Wang, Yonghong Tian:
Learning Compact Networks via Similarity-Aware Channel Pruning. MIPR 2020: 145-148 - [c111]Lechun Zhang, Guangyao Chen, Yemin Shi, Quan Zhang, Mingkui Tan, Yaowei Wang, Yonghong Tian, Tiejun Huang:
Anonymous Model Pruning for Compressing Deep Neural Networks. MIPR 2020: 157-160 - [c110]Peiyin Xing, Yaowei Wang, Peixi Peng, Yonghong Tian, Tiejun Huang:
End-Edge-Cloud Collaborative System: A Video Big Data Processing and Analysis Architecture. MIPR 2020: 233-236 - [c109]Yixiong Zou, Shanghang Zhang, Ke Chen, Yonghong Tian, Yaowei Wang, José M. F. Moura:
Compositional Few-Shot Recognition with Primitive Discovery and Enhancing. ACM Multimedia 2020: 156-164 - [c108]Peixi Peng, Yonghong Tian, Yangru Huang, Xiangqian Wang, Huilong An:
Discriminative Spatial Feature Learning for Person Re-Identification. ACM Multimedia 2020: 274-283 - [c107]Zeyuan Wang, Yifan Zhao, Jia Li, Yonghong Tian:
Cooperative Bi-path Metric for Few-shot Learning. ACM Multimedia 2020: 1524-1532 - [c106]Mengyue Geng, Peixi Peng, Yangru Huang, Yonghong Tian:
Masked Face Recognition with Generative Data Augmentation and Domain Constrained Ranking. ACM Multimedia 2020: 2246-2254 - [c105]Feifei Ding, Peixi Peng, Yangru Huang, Mengyue Geng, Yonghong Tian:
Masked Face Recognition with Latent Part Detection. ACM Multimedia 2020: 2281-2289 - [c104]Xin Wang, Wenwu Zhu, Yonghong Tian, Wen Gao:
Multimedia Intelligence: When Multimedia Meets Artificial Intelligence. ACM Multimedia 2020: 4775-4776 - [c103]Sheng Li, Tingting Jiang, Tiejun Huang, Yonghong Tian:
Global Co-occurrence Feature Learning and Active Coordinate System Conversion for Skeleton-based Action Recognition. WACV 2020: 575-583 - [i40]Mingbao Lin, Rongrong Ji, Shaojie Li, Qixiang Ye, Yonghong Tian, Jianzhuang Liu, Qi Tian:
Filter Sketch for Network Pruning. CoRR abs/2001.08514 (2020) - [i39]Mingbao Lin, Rongrong Ji, Yuxin Zhang, Baochang Zhang, Yongjian Wu, Yonghong Tian:
Channel Pruning via Automatic Structure Search. CoRR abs/2001.08565 (2020) - [i38]Mingbao Lin, Rongrong Ji, Yan Wang, Yichen Zhang, Baochang Zhang, Yonghong Tian, Ling Shao:
HRank: Filter Pruning using High-Rank Feature Map. CoRR abs/2002.10179 (2020) - [i37]Zongxian Li, Qixiang Ye, Chong Zhang, Jingjing Liu, Shijian Lu, Yonghong Tian:
Self-Guided Adaptation: Progressive Representation Alignment for Domain Adaptive Object Detection. CoRR abs/2003.08777 (2020) - [i36]Yunpeng Zhai, Shijian Lu, Qixiang Ye, Xuebo Shan, Jie Chen, Rongrong Ji, Yonghong Tian:
AD-Cluster: Augmented Discriminative Clustering for Domain Adaptive Person Re-identification. CoRR abs/2004.08787 (2020) - [i35]Yixiong Zou, Shanghang Zhang, Ke Chen, José M. F. Moura, Yaowei Wang, Yonghong Tian:
Compositional Few-Shot Recognition with Primitive Discovery and Enhancing. CoRR abs/2005.06047 (2020) - [i34]Xiawu Zheng, Rongrong Ji, Qiang Wang, Qixiang Ye, Zhenguo Li, Yonghong Tian, Qi Tian:
Rethinking Performance Estimation in Neural Architecture Search. CoRR abs/2005.09917 (2020) - [i33]Yafei Song, Ling Cai, Jia Li, Yonghong Tian, Mingyang Li:
SEKD: Self-Evolving Keypoint Detection and Description. CoRR abs/2006.05077 (2020) - [i32]Yunpeng Zhai, Qixiang Ye, Shijian Lu, Mengxi Jia, Rongrong Ji, Yonghong Tian:
Multiple Expert Brainstorming for Domain Adaptive Person Re-identification. CoRR abs/2007.01546 (2020) - [i31]Yixiong Zou, Shanghang Zhang, José M. F. Moura, Jianpeng Yu, Yonghong Tian:
Revisiting Mid-Level Patterns for Distant-Domain Few-Shot Recognition. CoRR abs/2008.03128 (2020) - [i30]Zeyuan Wang, Yifan Zhao, Jia Li, Yonghong Tian:
Cooperative Bi-path Metric for Few-shot Learning. CoRR abs/2008.04031 (2020) - [i29]Kui Fu, Jia Li, Lin Ma, Kai Mu, Yonghong Tian:
Intrinsic Relationship Reasoning for Small Object Detection. CoRR abs/2009.00833 (2020) - [i28]Guangyao Chen, Limeng Qiao, Yemin Shi, Peixi Peng, Jia Li, Tiejun Huang, Shiliang Pu, Yonghong Tian:
Learning Open Set Network with Discriminative Reciprocal Points. CoRR abs/2011.00178 (2020) - [i27]Yixiong Zou, Shanghang Zhang, Guangyao Chen, Yonghong Tian, Kurt Keutzer, José M. F. Moura:
Annotation-Efficient Untrimmed Video Action Recognition. CoRR abs/2011.14478 (2020) - [i26]Mingbao Lin, Rongrong Ji, Xiaoshuai Sun, Baochang Zhang, Feiyue Huang, Yonghong Tian, Dacheng Tao:
Fast Class-wise Updating for Online Hashing. CoRR abs/2012.00318 (2020)
2010 – 2019
- 2019
- [j53]Xueqing Zhao, Xin Shi, Bo Yang, Quanli Gao, Zhaofei Yu, Jian K. Liu, Yonghong Tian, Tiejun Huang:
Skeleton-Based 3D Object Retrieval Using Retina-Like Feature Descriptor. IEEE Access 7: 157341-157352 (2019) - [j52]Jia Li, Pengcheng Yuan, Daxin Gu, Yonghong Tian:
Hierarchical Deep Cosegmentation of Primary Objects in Aerial Videos. IEEE Multim. 26(3): 9-18 (2019) - [j51]Li Ma, Yonghong Tian, Peiyin Xing, Tiejun Huang:
Residual-Based Post-Processing for HEVC. IEEE Multim. 26(4): 67-79 (2019) - [j50]Siwei Dong, Zhichao Bi, Yonghong Tian, Tiejun Huang:
Spike Coding for Dynamic Vision Sensor in Intelligent Driving. IEEE Internet Things J. 6(1): 60-71 (2019) - [j49]Yuanyuan Yang, Yonghong Tian, Tiejun Huang:
Multiscale video sequence matching for near-duplicate detection and retrieval. Multim. Tools Appl. 78(1): 311-336 (2019) - [c102]Bing He, Jia Li, Yifan Zhao, Yonghong Tian:
Part-Regularized Near-Duplicate Vehicle Re-Identification. CVPR 2019: 3997-4005 - [c101]Siwei Dong, Lin Zhu, Daoyuan Xu, Yonghong Tian, Tiejun Huang:
An Efficient Coding Method for Spike Camera Using Inter-Spike Intervals. DCC 2019: 568 - [c100]Yihua Fu, Jianing Li, Siwei Dong, Yonghong Tian, Tiejun Huang:
Spike Coding: Towards Lossy Compression for Dynamic Vision Sensor. DCC 2019: 572 - [c99]Daoyuan Xu, Peiyin Xing, Yaowei Wang, Yonghong Tian:
Efficient and Fast Coefficient Sign Inference for Video Coding. DCC 2019: 609 - [c98]Limeng Qiao, Yemin Shi, Jia Li, Yonghong Tian, Tiejun Huang, Yaowei Wang:
Transductive Episodic-Wise Adaptive Metric for Few-Shot Learning. ICCV 2019: 3602-3611 - [c97]Jinming Su, Jia Li, Yu Zhang, Changqun Xia, Yonghong Tian:
Selectivity or Invariance: Boundary-Aware Salient Object Detection. ICCV 2019: 3798-3807 - [c96]Yifan Zhao, Jia Li, Yu Zhang, Yonghong Tian:
Multi-Class Part Parsing With Joint Boundary-Semantic Awareness. ICCV 2019: 9176-9185 - [c95]Jianing Li, Siwei Dong, Zhaofei Yu, Yonghong Tian, Tiejun Huang:
Event-Based Vision Enhanced: A Joint Detection Framework in Autonomous Driving. ICME 2019: 1396-1401 - [c94]Lin Zhu, Siwei Dong, Tiejun Huang, Yonghong Tian:
A Retina-Inspired Sampling Method for Visual Texture Reconstruction. ICME 2019: 1432-1437 - [c93]Yafei Song, Yonghong Tian, Gang Wang, Mingyang Li:
2D LiDAR Map Prediction via Estimating Motion Flow with GRU. ICRA 2019: 6617-6623 - [c92]Yafei Song, Di Zhu, Jia Li, Yonghong Tian, Mingyang Li:
Learning Local Feature Descriptor with Motion Attribute For Vision-based Localization. IROS 2019: 3794-3801 - [c91]Zongxian Li, Sheng Li, Lantian Xue, Yonghong Tian:
Semi-Siamese Network for Content-Based Video Relevance Prediction. ISCAS 2019: 1-5 - [c90]Yiqian Chang, Yemin Shi, Yaowei Wang, Yonghong Tian:
Bi-directional Re-ranking for Person Re-identification. MIPR 2019: 48-53 - [c89]Sheng Li, Tingting Jiang, Yonghong Tian, Tiejun Huang:
3D Human Skeleton Data Compression for Action Recognition. VCIP 2019: 1-4 - [i25]Yu Shu, Yemin Shi, Yaowei Wang, Yixiong Zou, Qingsheng Yuan, Yonghong Tian:
ODN: Opening the Deep Network for Open-set Action Recognition. CoRR abs/1901.07757 (2019) - [i24]Yafei Song, Yonghong Tian, Gang Wang, Mingyang Li:
2D LiDAR Map Prediction via Estimating Motion Flow with GRU. CoRR abs/1902.06919 (2019) - [i23]Yajing Zheng, Zhaofei Yu, Shanshan Jia, Jian K. Liu, Tiejun Huang, Yonghong Tian:
Probabilistic Inference of Binary Markov Random Fields in Spiking Neural Networks through Mean-field Approximation. CoRR abs/1902.08411 (2019) - [i22]Yichen Zhang, Shanshan Jia, Yajing Zheng, Zhaofei Yu, Yonghong Tian, Tiejun Huang, Jian K. Liu:
Reconstruction of Natural Visual Scenes from Neural Spikes with Deep Neural Networks. CoRR abs/1904.13007 (2019) - [i21]Yu Shu, Yemin Shi, Yaowei Wang, Tiejun Huang, Yonghong Tian:
P-ODN: Prototype based Open Deep Network for Open Set Recognition. CoRR abs/1905.01851 (2019) - [i20]Lin Zhu, Siwei Dong, Tiejun Huang, Yonghong Tian:
A Retina-inspired Sampling Method for Visual Texture Reconstruction. CoRR abs/1907.08769 (2019) - [i19]Yafei Song, Di Zhu, Jia Li, Yonghong Tian, Mingyang Li:
Learning Local Feature Descriptor with Motion Attribute for Vision-based Localization. CoRR abs/1908.01180 (2019) - [i18]Jia Li, Jinming Su, Changqun Xia, Yonghong Tian:
Distortion-adaptive Salient Object Detection in 360° Omnidirectional Images. CoRR abs/1909.04913 (2019) - [i17]Changqun Xia, Jia Li, Jinming Su, Yonghong Tian:
Exploring Reciprocal Attention for Salient Object Detection by Cooperative Learning. CoRR abs/1909.08269 (2019) - [i16]Limeng Qiao, Yemin Shi, Jia Li, Yaowei Wang, Tiejun Huang, Yonghong Tian:
Transductive Episodic-Wise Adaptive Metric for Few-Shot Learning. CoRR abs/1910.02224 (2019) - [i15]Jia Li, Jinming Su, Changqun Xia, Yonghong Tian:
Salient Object Detection with Purificatory Mechanism and Structural Similarity Loss. CoRR abs/1912.08393 (2019) - [i14]Siwei Dong, Lin Zhu, Daoyuan Xu, Yonghong Tian, Tiejun Huang:
An Efficient Coding Method for Spike Camera using Inter-Spike Intervals. CoRR abs/1912.09669 (2019) - 2018
- [j48]Yonghong Tian, Jiaying Yan, Siwei Dong, Tiejun Huang:
PA-Search: Predicting units adaptive motion search for surveillance video coding. Comput. Vis. Image Underst. 170: 14-27 (2018) - [j47]Peixi Peng, Yonghong Tian, Tao Xiang, Yaowei Wang, Massimiliano Pontil, Tiejun Huang:
Joint Semantic and Latent Attribute Modelling for Cross-Class Transfer Learning. IEEE Trans. Pattern Anal. Mach. Intell. 40(7): 1625-1638 (2018) - [c88]Haoran Chen, Yaowei Wang, Yemin Shi, Ke Yan, Mengyue Geng, Yonghong Tian, Tao Xiang:
Deep Transfer Learning for Person Re-Identification. BigMM 2018: 1-5 - [c87]Chong Zhang, Zongxian Li, Qiong Liu, Yonghong Tian, Wei Zeng, Yaowei Wang, Wenbai Chen:
Toward Efficient Simultaneous Detection and Segmentation. BigMM 2018: 1-5 - [c86]Zhichao Bi, Siwei Dong, Yonghong Tian, Tiejun Huang:
Spike Coding for Dynamic Vision Sensors. DCC 2018: 117-126 - [c85]Yemin Shi, Yonghong Tian, Tiejun Huang, Yaowei Wang:
Temporal Attentive Network for Action Recognition. ICME 2018: 1-6 - [c84]Yemin Shi, Yaowei Wang, Yixiong Zou, Qingsheng Yuan, Yonghong Tian, Yu Shu:
ODN: Opening the Deep Network for Open-Set Action Recognition. ICME 2018: 1-6 - [c83]Zongxian Li, Yemin Shi, Yonghong Tian, Wei Zeng, Yaowei Wang:
SFCM: Learn a Pooling Kernel for Weakly Supervised Object Localization. ICME 2018: 1-6 - [c82]Yixiong Zou, Yemin Shi, Yaowei Wang, Yu Shu, Qingsheng Yuan, Yonghong Tian:
Hierarchical Temporal Memory Enhanced One-Shot Distance Learning for Action Recognition. ICME 2018: 1-6 - [c81]Jia Li, Yunpeng Zhai, Yaowei Wang, Yemin Shi, Yonghong Tian:
Multi-Pose Learning based Head-Shoulder Re-identification. MIPR 2018: 238-243 - [c80]Yuanyuan Yang, Yixiong Zou, Yemin Shi, Qingsheng Yuan, Yaowei Wang, Yonghong Tian:
Fast Compressed Domain Copy Detection with Motion Vector Imaging. MIPR 2018: 396-401 - [c79]Lu Pang, Yaowei Wang, Yi-Zhe Song, Tiejun Huang, Yonghong Tian:
Cross-Domain Adversarial Feature Learning for Sketch Re-identification. ACM Multimedia 2018: 609-617 - [c78]Shupeng Su, Chao Zhang, Kai Han, Yonghong Tian:
Greedy Hash: Towards Fast Optimization for Accurate Hash Coding in CNN. NeurIPS 2018: 806-815 - [i13]Yang Yue, Liuyuan He, Gan He, Jian K. Liu, Kai Du, Yonghong Tian, Tiejun Huang:
A simple blind-denoising filter inspired by electrically coupled photoreceptors in the retina. CoRR abs/1806.05882 (2018) - [i12]Pengcheng Yuan, Jia Li, Daxin Gu, Yonghong Tian:
Primary Object Segmentation in Aerial Videos via Hierarchical Temporal Slicing and Co-Segmentation. CoRR abs/1806.10274 (2018) - [i11]Zhaofei Yu, Yonghong Tian, Tiejun Huang, Jian K. Liu:
Winner-Take-All as Basic Probabilistic Inference Unit of Neuronal Circuits. CoRR abs/1808.00675 (2018) - [i10]Shanshan Jia, Zhaofei Yu, Arno Onken, Yonghong Tian, Tiejun Huang, Jian K. Liu:
Characterizing Neuronal Circuits with Spike-triggered Non-negative Matrix Factorization. CoRR abs/1808.03958 (2018) - [i9]Qi Yan, Yajing Zheng, Shanshan Jia, Yichen Zhang, Zhaofei Yu, Feng Chen, Yonghong Tian, Tiejun Huang, Jian K. Liu:
Revealing Fine Structures of the Retinal Receptive Field by Deep Learning Networks. CoRR abs/1811.02290 (2018) - [i8]Kui Fu, Jia Li, Hongze Shen, Yonghong Tian:
How Drones Look: Crowdsourced Knowledge Transfer for Aerial Video Saliency Prediction. CoRR abs/1811.05625 (2018) - [i7]Jinming Su, Jia Li, Changqun Xia, Yonghong Tian:
Selectivity or Invariance: Boundary-aware Salient Object Detection. CoRR abs/1812.10066 (2018) - 2017
- [j46]Yonghong Tian, Xilin Chen, Hongkai Xiong, Hong-Liang Li, Li-Rong Dai, Jing Chen, Junliang Xing, Jing Chen, Xihong Wu, Weiming Hu, Yu Hu, Tiejun Huang, Wen Gao:
Towards human-like and transhuman perception in AI 2.0: a review. Frontiers Inf. Technol. Electron. Eng. 18(1): 58-67 (2017) - [j45]Lin Ding, Yonghong Tian, Hongfei Fan, Yaowei Wang, Tiejun Huang:
Rate-Performance-Loss Optimization for Inter-Frame Deep Feature Coding From Videos. IEEE Trans. Image Process. 26(12): 5743-5757 (2017) - [j44]Yemin Shi, Yonghong Tian, Yaowei Wang, Tiejun Huang:
Sequential Deep Trajectory Descriptor for Action Recognition With Three-Stream CNN. IEEE Trans. Multim. 19(7): 1510-1520 (2017) - [j43]Shu Fang, Jia Li, Yonghong Tian, Tiejun Huang, Xiaowu Chen:
Learning Discriminative Subspaces on Random Contrasts for Image Saliency Analysis. IEEE Trans. Neural Networks Learn. Syst. 28(5): 1095-1108 (2017) - [c77]Shu Fang, Yang Yue, Liuyuan He, Kai Du, Yonghong Tian, Tiejun Huang:
Image Saliency Analysis Based on Retina Simulation. BigMM 2017: 142-145 - [c76]Siwei Dong, Tiejun Huang, Yonghong Tian:
Spike Camera and Its Coding Methods. DCC 2017: 437 - [c75]Ke Yan, Yonghong Tian, Yaowei Wang, Wei Zeng, Tiejun Huang:
Exploiting Multi-grain Ranking Constraints for Precisely Searching Visually-similar Vehicles. ICCV 2017: 562-570 - [c74]Yemin Shi, Yonghong Tian, Yaowei Wang, Wei Zeng, Tiejun Huang:
Learning Long-Term Dependencies for Action Recognition with a Biologically-Inspired Deep Network. ICCV 2017: 716-725 - [c73]Romain Vial, Hongyuan Zhu, Yonghong Tian, Shijian Lu:
Search video action proposal with recurrent and static YOLO. ICIP 2017: 2035-2039 - [c72]Jiaying Yan, Yonghong Tian, Yaowei Wang, Siwei Dong, Tiejun Huang:
A fast skip and direction adaptive search algorithm for Sub-Pixel Motion Estimation on HEVC. ICME Workshops 2017: 157-162 - [c71]Dawei Liang, Ke Yan, Yaowei Wang, Wei Zeng, Qingsheng Yuan, Xiuguo Bao, Yonghong Tian:
Deep hashing with multi-task learning for large-scale instance-level vehicle search. ICME Workshops 2017: 192-197 - [c70]Dawei Liang, Ke Yan, Wei Zeng, Yaowei Wang, Qingsheng Yuan, Xiuguo Bao, Yonghong Tian:
Deep hashing with mixed supervised losses for image search. ICME Workshops 2017: 507-512 - [i6]Hongyuan Zhu, Romain Vial, Shijian Lu, Yonghong Tian, Xianbin Cao:
YoTube: Searching Action Proposal via Recurrent and Static Regression Networks. CoRR abs/1706.08218 (2017) - [i5]Qiantong Xu, Ke Yan, Yonghong Tian:
Learning a Repression Network for Precise Vehicle Search. CoRR abs/1708.02386 (2017) - 2016
- [j42]Wei Chen, Yonghong Tian, Yaowei Wang, Tiejun Huang:
Fixed-point Gaussian Mixture Model for analysis-friendly surveillance video coding. Comput. Vis. Image Underst. 142: 65-79 (2016) - [j41]Yonghong Tian, Min Chen, Leonel Sousa:
Ubiquitous Multimedia: Emerging Research on Multimedia Computing. IEEE Multim. 23(2): 12-15 (2016) - [j40]Jia Li, Yonghong Tian, Xiaowu Chen, Tiejun Huang:
Measuring Visual Surprise Jointly from Intrinsic and Extrinsic Contexts for Image Saliency Estimation. Int. J. Comput. Vis. 120(1): 44-60 (2016) - [j39]Min Chen, Leonel Sousa, Yonghong Tian:
Guest Editors' Introduction. Int. J. Semantic Comput. 10(1): 1-4 (2016) - [c69]Mengyue Geng, Yaowei Wang, Yonghong Tian, Tiejun Huang:
CNUSVM: Hybrid CNN-Uneven SVM Model for Imbalanced Visual Learning. BigMM 2016: 186-193 - [c68]Lin Ding, Yonghong Tian, Hongfei Fan, Yaowei Wang, Tiejun Huang:
High-Efficiency Coding for Shaking Surveillance Videos Based on Global Motion Compensation. BigMM 2016: 259-265 - [c67]Peixi Peng, Tao Xiang, Yaowei Wang, Massimiliano Pontil, Shaogang Gong, Tiejun Huang, Yonghong Tian:
Unsupervised Cross-Dataset Transfer Learning for Person Re-identification. CVPR 2016: 1306-1315 - [c66]Hongye Liu, Yonghong Tian, Yaowei Wang, Lu Pang, Tiejun Huang:
Deep Relative Distance Learning: Tell the Difference between Similar Vehicles. CVPR 2016: 2167-2175 - [c65]Peixi Peng, Yonghong Tian, Tao Xiang, Yaowei Wang, Tiejun Huang:
Joint Learning of Semantic and Latent Attributes. ECCV (4) 2016: 336-353 - [c64]Ke Yan, Yaowei Wang, Dawei Liang, Tiejun Huang, Yonghong Tian:
CNN vs. SIFT for Image Retrieval: Alternative or Complementary? ACM Multimedia 2016: 407-411 - [i4]Yemin Shi, Yonghong Tian, Yaowei Wang, Tiejun Huang:
Sequential Deep Trajectory Descriptor for Action Recognition with Three-stream CNN. CoRR abs/1609.03056 (2016) - [i3]Yemin Shi, Yonghong Tian, Yaowei Wang, Tiejun Huang:
Joint Network based Attention for Action Recognition. CoRR abs/1611.05215 (2016) - [i2]Yemin Shi, Yonghong Tian, Yaowei Wang, Tiejun Huang:
shuttleNet: A biologically-inspired RNN with loop connection and parameter sharing. CoRR abs/1611.05216 (2016) - [i1]Mengyue Geng, Yaowei Wang, Tao Xiang, Yonghong Tian:
Deep Transfer Learning for Person Re-identification. CoRR abs/1611.05244 (2016) - 2015
- [j38]Yonghong Tian, Shu-Ching Chen, Mei-Ling Shyu, Tiejun Huang, Phillip C.-Y. Sheu, Alberto Del Bimbo:
Multimedia Big Data. IEEE Multim. 22(3): 93-95 (2015) - [j37]Yonghong Tian, Jia Li, Shui Yu, Tiejun Huang:
Learning Complementary Saliency Priors for Foreground Object Segmentation in Complex Scenes. Int. J. Comput. Vis. 111(2): 153-170 (2015) - [j36]Jia Li, Ling-Yu Duan, Xiaowu Chen, Tiejun Huang, Yonghong Tian:
Finding the Secret of Image Saliency in the Frequency Domain. IEEE Trans. Pattern Anal. Mach. Intell. 37(12): 2428-2440 (2015) - [j35]Peixi Peng, Yonghong Tian, Yaowei Wang, Jia Li, Tiejun Huang:
Robust multiple cameras pedestrian detection with multi-view Bayesian network. Pattern Recognit. 48(5): 1760-1772 (2015) - [j34]Jia Li, Shu Fang, Yonghong Tian, Tiejun Huang, Xiaowu Chen:
Image saliency estimation via random walk guided by informativeness and latent signal correlations. Signal Process. Image Commun. 38: 3-14 (2015) - [j33]Shu-Ching Chen, Ramesh C. Jain, Yonghong Tian, Haohong Wang:
Guest Editorial Multimedia: The Biggest Big Data. IEEE Trans. Multim. 17(9): 1401-1403 (2015) - [j32]Yonghong Tian, Mengren Qian, Tiejun Huang:
TASC: A Transformation-Aware Soft Cascading Approach for Multimodal Video Copy Detection. ACM Trans. Inf. Syst. 33(2): 7:1-7:34 (2015) - [c63]Lan Wei, Yonghong Tian, Yaowei Wang, Tiejun Huang:
Swiss-System Based Cascade Ranking for Gait-Based Person Re-Identification. AAAI 2015: 1882-1888 - [c62]Yaowei Wang, Yonghong Tian, Limin Su, Xiaoyu Fang, Ziwei Xia, Tiejun Huang:
Detecting Rare Actions and Events from Surveillance Big Data with Bag of Dynamic Trajectories. BigMM 2015: 128-135 - [c61]Siwei Dong, Yonghong Tian, Tiejun Huang:
Performance Evaluation for AVS2 Scene Video Coding Techniques. BigMM 2015: 411-414 - [c60]Xinxin Zhang, Ronggang Wang, Yonghong Tian, Wenmin Wang, Wen Gao:
Image deblurring using robust sparsity priors. ICIP 2015: 138-142 - [c59]Zhengying Chen, Yonghong Tian, Wei Zeng, Tiejun Huang:
Detecting abnormal behaviors in surveillance videos based on fuzzy clustering and multiple Auto-Encoders. ICME 2015: 1-6 - [c58]Shaoge Guo, Yaowei Wang, Yonghong Tian, Peiyin Xing, Wen Gao:
Quality-progressive coding for high bit-rate background frames on surveillance videos. ISCAS 2015: 2764-2767 - 2014
- [j31]Tiejun Huang, Siwei Dong, Yonghong Tian:
Representing Visual Objects in HEVC Coding Loop. IEEE J. Emerg. Sel. Topics Circuits Syst. 4(1): 5-16 (2014) - [j30]Wen Gao, Yonghong Tian, Tiejun Huang, Siwei Ma, Xianguo Zhang:
The IEEE 1857 Standard: Empowering Smart Video Surveillance Systems. IEEE Intell. Syst. 29(5): 30-39 (2014) - [j29]Jia Li, Yonghong Tian, Tiejun Huang:
Visual Saliency with Statistical Priors. Int. J. Comput. Vis. 107(3): 239-253 (2014) - [j28]Yonghong Tian, Shui Yu, Chin-Yung Lin, Wen Gao, Wanlei Zhou:
Guest Editorial. J. Multim. 9(1): 1-3 (2014) - [j27]Xianguo Zhang, Tiejun Huang, Yonghong Tian, Wen Gao:
Background-Modeling-Based Adaptive Prediction for Surveillance Video Coding. IEEE Trans. Image Process. 23(2): 769-784 (2014) - [j26]Xianguo Zhang, Yonghong Tian, Tiejun Huang, Siwei Dong, Wen Gao:
Optimizing the Hierarchical Prediction and Coding in HEVC for Surveillance and Conference Videos With Background Modeling. IEEE Trans. Image Process. 23(10): 4511-4526 (2014) - [j25]Shui Yu, Yonghong Tian, Song Guo, Dapeng Oliver Wu:
Can We Beat DDoS Attacks in Clouds? IEEE Trans. Parallel Distributed Syst. 25(9): 2245-2254 (2014) - [c57]Zhengying Chen, Tingting Jiang, Yonghong Tian:
Quality Assessment for Comparing Image Enhancement Algorithms. CVPR 2014: 3003-3010 - [c56]Mengren Qian, Luntian Mou, Jia Li, Yonghong Tian:
Video picture-in-picture detection using spatio-temporal slicing. ICME Workshops 2014: 1-6 - [c55]Lan Wei, Yonghong Tian, Yaowei Wang, Tiejun Huang:
Multi-view gait recognition with incomplete training data. ICME 2014: 1-6 - [c54]Long Zhao, Yonghong Tian, Tiejun Huang:
Background-foreground division based search for motion estimation in surveillance video coding. ICME 2014: 1-6 - [c53]Hongye Liu, Taiyin Zhao, Yaowei Wang, Yonghong Tian:
A refined object detection method based on HTM. VCIP 2014: 93-96 - 2013
- [j24]Tiejun Huang, Yonghong Tian, Wen Gao:
IEEE 1857: Boosting Video Applications in CPSS. IEEE Intell. Syst. 28(5): 24-27 (2013) - [j23]Yonghong Tian, Tiejun Huang, Menglin Jiang, Wen Gao:
Video Copy-Detection and Localization with a Scalable Cascading Framework. IEEE Multim. 20(3): 72-86 (2013) - [j22]Jia Li, Yonghong Tian, Lingyu Duan, Tiejun Huang:
Estimating Visual Saliency Through Single Image Optimization. IEEE Signal Process. Lett. 20(9): 845-848 (2013) - [j21]Yonghong Tian, Yaowei Wang, Zhipeng Hu, Tiejun Huang:
Selective Eigenbackground for Background Modeling and Subtraction in Crowded Scenes. IEEE Trans. Circuits Syst. Video Technol. 23(11): 1849-1864 (2013) - [j20]Xianguo Zhang, Tiejun Huang, Yonghong Tian, Mingchao Geng, Siwei Ma, Wen Gao:
Fast and Efficient Transcoding Based on Low-Complexity Background Modeling and Adaptive Block Classification. IEEE Trans. Multim. 15(8): 1769-1785 (2013) - [j19]Luntian Mou, Tiejun Huang, Yonghong Tian, Menglin Jiang, Wen Gao:
Content-based copy detection through multimodal feature representation and temporal pyramid matching. ACM Trans. Multim. Comput. Commun. Appl. 10(1): 5:1-5:20 (2013) - [c52]Xianguo Zhang, Tiejun Huang, Yonghong Tian, Wen Gao:
Hierarchical-and-Adaptive Bit-Allocation with Selective Background Prediction for High Efficiency Video Coding (HEVC). DCC 2013: 535 - [c51]Xianguo Zhang, Tiejun Huang, Yonghong Tian, Wen Gao:
Overview of the IEEE 1857 surveillance groups. ICIP 2013: 1505-1509 - [c50]Xiaoyu Fang, Ziwei Xia, Chi Su, Teng Xu, Yonghong Tian, Yaowei Wang, Tiejun Huang:
A system based on sequence learning for event detection in surveillance video. ICIP 2013: 3587-3591 - [c49]Xiaoyu Fang, Yonghong Tian, Yaowei Wang, Chi Su, Teng Xu, Ziwei Xia, Wen Gao:
Pair-wise event detection using cubic features and sequence discriminant learning. ICME 2013: 1-6 - [c48]Chaoran Gu, Luntian Mou, Yonghong Tian, Tiejun Huang:
MPLBoost-based mixture model for effective human detection with Deformable Part Model. ICME 2013: 1-6 - [c47]Long Zhao, Xianguo Zhang, Yonghong Tian, Ronggang Wang, Tiejun Huang:
A background proportion adaptive Lagrange multiplier selection method for surveillance video on HEVC. ICME 2013: 1-6 - [c46]Haocheng Wen, Yonghong Tian, Tiejun Huang, Wen Gao:
Single underwater image enhancement with a new optical model. ISCAS 2013: 753-756 - [c45]Peiyin Xing, Yonghong Tian, Tiejun Huang, Wen Gao:
Surveillance video coding with quadtree partition based ROI extraction. PCS 2013: 157-160 - [c44]Jiaqiu Chen, Yaowei Wang, Yonghong Tian, Tiejun Huang:
Wavelet based smoke detection method with RGB Contrast-image and shape constrain. VCIP 2013: 1-6 - [c43]Peiyin Xing, Yonghong Tian, Xianguo Zhang, Yaowei Wang, Tiejun Huang:
A coding unit classification based AVC-to-HEVC transcoding with background modeling for surveillance videos. VCIP 2013: 1-6 - 2012
- [j18]Zhongfei Zhang, Zhengyou Zhang, Ramesh C. Jain, Yueting Zhuang, Noshir S. Contractor, Alexander G. Hauptmann, Alejandro Jaimes, Wanqing Li, Alexander C. Loui, Tao Mei, Nicu Sebe, Yonghong Tian, Vincent S. Tseng, Qing Wang, Changsheng Xu, Huimin Yu, Shiwen Yu:
Societally connected multimedia across cultures. J. Zhejiang Univ. Sci. C 13(12): 875-880 (2012) - [j17]Jingjing Yang, Yonghong Tian, Ling-Yu Duan, Tiejun Huang, Wen Gao:
Group-Sensitive Multiple Kernel Learning for Object Recognition. IEEE Trans. Image Process. 21(5): 2838-2852 (2012) - [c42]Lan Wei, Yonghong Tian, Yaowei Wang, Touradj Ebrahimi, Tiejun Huang:
Automatic Webcam-Based Human Heart Rate Measurements Using Laplacian Eigenmap. ACCV (2) 2012: 281-292 - [c41]Shumin Han, Xianguo Zhang, Yonghong Tian, Tiejun Huang:
An Efficient Background Reconstruction Based Coding Method for Surveillance Videos Captured by Moving Camera. AVSS 2012: 160-165 - [c40]Teng Xu, Peixi Peng, Xiaoyu Fang, Chi Su, Yaowei Wang, Yonghong Tian, Wei Zeng, Tiejun Huang:
Single and Multiple View Detection, Tracking and Video Analysis in Crowded Environments. AVSS 2012: 494-499 - [c39]Peixi Peng, Yonghong Tian, Yaowei Wang, Tiejun Huang:
Multi-camera Pedestrian Detection with Multi-view Bayesian Network Model. BMVC 2012: 1-12 - [c38]Mingchao Geng, Xianguo Zhang, Yonghong Tian, Luhong Liang, Tiejun Huang:
A Fast and Performance-Maintained Transcoding Method Based on Background Modeling for Surveillance Video. ICME 2012: 61-66 - [c37]Menglin Jiang, Yonghong Tian, Tiejun Huang:
Video Copy Detection Using a Soft Cascade of Multimodal Features. ICME 2012: 374-379 - [c36]Xianguo Zhang, Yonghong Tian, Luhong Liang, Tiejun Huang, Wen Gao:
Macro-Block-Level Selective Background Difference Coding for Surveillance Video. ICME 2012: 1067-1072 - [c35]Luntian Mou, Xilin Chen, Yonghong Tian, Tiejun Huang:
Robust and discriminative image authentication based on standard model feature. ISCAS 2012: 1131-1134 - [c34]Ziwei Xia, Xiaoyu Fang, Yaowei Wang, Wei Zeng, Hongming Zhang, Yonghong Tian:
PKU-NEC @TRECVID2012 SED : Uneven-Sequence Based Event Detection in Surveillance Video. TRECVID 2012 - [c33]Wei Chen, Xianguo Zhang, Yonghong Tian, Tiejun Huang:
An efficient surveillance coding method based on a timely and bit-saving background updating model. VCIP 2012: 1-6 - [c32]Xianguo Zhang, Yonghong Tian, Tiejun Huang, Wen Gao:
Low-complexity and high-efficiency background modeling for surveillance video coding. VCIP 2012: 1-6 - 2011
- [j16]Tiejun Huang, Yonghong Tian, Jia Li, Haonan Yu:
Salient region detection and segmentation for general object recognition and image understanding. Sci. China Inf. Sci. 54(12): 2461-2470 (2011) - [j15]Jia Li, Yonghong Tian, Tiejun Huang, Wen Gao:
Multi-Task Rank Learning for Visual Saliency Estimation. IEEE Trans. Circuits Syst. Video Technol. 21(5): 623-636 (2011) - [c31]Luntian Mou, Tiejun Huang, Yonghong Tian, Shiguo Lian, Xilin Chen:
Robust and discriminative image authentication based on sparse coding. CCNC 2011: 323-326 - [c30]Yonghong Tian, Tiejun Huang, Wen Gao:
iULib: where UDL and Wikipedia could meet. Imaging and Printing in a Web 2.0 World 2011: 78790G - [c29]Zhipeng Hu, Yaowei Wang, Yonghong Tian, Tiejun Huang:
Selective eigenbackgrounds method for background subtraction in crowed scenes. ICIP 2011: 3277-3280 - [c28]Yonghong Tian, Menglin Jiang, Luntian Mou, Xiaoyu Fang, Tiejun Huang:
A multimodal video copy detection approach with sequential pyramid matching. ICIP 2011: 3629-3632 - [c27]Amogh Mahapatra, Xin Wan, Yonghong Tian, Jaideep Srivastava:
Augmenting Image Processing with Social Tag Mining for Landmark Recognition. MMM (1) 2011: 273-283 - [c26]Xiaoyu Fang, Hongming Zhang, Chi Su, Teng Xu, Feng Wang, Shaopeng Tang, Ziwei Xia, Peixi Peng, Guoyi Liu, Yaowei Wang, Wei Zeng, Yonghong Tian:
PKU-NEC @TRECVID2011 SED: Sequence-Based Event Detection in Surveillance Video. TRECVID 2011 - [c25]Menglin Jiang, Shu Fang, Yonghong Tian, Tiejun Huang, Wen Gao:
PKU-IDM @TRECVID2011 CBCD: Content-Based Copy Detection with Cascade of Multimodal Features and Temporal Pyramid Matching. TRECVID 2011 - 2010
- [j14]Yonghong Tian, Jaideep Srivastava, Tiejun Huang, Noshir S. Contractor:
Social Multimedia Computing. Computer 43(8): 27-36 (2010) - [j13]Tiejun Huang, Yonghong Tian, Wen Gao, Jian Lu:
Mediaprinting: Identifying Multimedia Content for Digital Rights Management. Computer 43(12): 28-35 (2010) - [j12]Wen Gao, Yonghong Tian, Tiejun Huang, Qiang Yang:
Vlogging: A survey of videoblogging technology on the web. ACM Comput. Surv. 42(4): 15:1-15:57 (2010) - [j11]Jingjing Yang, Yuanning Li, Yonghong Tian, Ling-Yu Duan, Wen Gao:
Per-Sample Multiple Kernel Approach for Visual Concept Learning. EURASIP J. Image Video Process. 2010 (2010) - [j10]Jia Li, Yonghong Tian, Tiejun Huang, Wen Gao:
Probabilistic Multi-Task Learning for Visual Saliency Estimation in Video. Int. J. Comput. Vis. 90(2): 150-165 (2010) - [j9]Jia Li, Han-nan Yu, Yonghong Tian, Tiejun Huang, Wen Gao:
Salient object extraction for user-targeted video content association. J. Zhejiang Univ. Sci. C 11(11): 850-859 (2010) - [j8]Ya-li Cao, Tiejun Huang, Yonghong Tian:
A ranking SVM based fusion model for cross-media meta-search engine. J. Zhejiang Univ. Sci. C 11(11): 903-910 (2010) - [j7]Jia Li, Yonghong Tian, Tiejun Huang, Wen Gao:
Cost-Sensitive Rank Learning From Positive and Unlabeled Data for Visual Saliency Estimation. IEEE Signal Process. Lett. 17(6): 591-594 (2010) - [j6]Yuanning Li, Yonghong Tian, Ling-Yu Duan, Jingjing Yang, Tiejun Huang, Wen Gao:
Sequence Multi-Labeling: A Unified Video Annotation Scheme With Spatial and Temporal Context. IEEE Trans. Multim. 12(8): 814-828 (2010) - [c24]Yaowei Wang, Yonghong Tian, Lingyu Duan, Zhipeng Hu, Guochen Jia:
ESUR: A system for Events detection in SURveillance video. ICIP 2010: 2317-2320 - [c23]Yuanning Li, Yonghong Tian, Jingjing Yang, Ling-Yu Duan, Wen Gao:
Video retargeting with multi-scale trajectory optimization. Multimedia Information Retrieval 2010: 45-54 - [c22]Haonan Yu, Jia Li, Yonghong Tian, Tiejun Huang:
Automatic interesting object extraction from images using complementary saliency maps. ACM Multimedia 2010: 891-894 - [c21]Min Wang, Jia Li, Tiejun Huang, Yonghong Tian, Lingyu Duan, Guochen Jia:
Saliency detection based on 2D log-gabor wavelets and center bias. ACM Multimedia 2010: 979-982 - [c20]Guochen Jia, Yonghong Tian, Yaowei Wang, Tiejun Huang, Min Wang:
Dynamic multi-cue tracking with detection responses association. ACM Multimedia 2010: 1171-1174 - [c19]Kaihua Jiang, Guangcheng Zhang, Xihong Wu, Zhipeng Hu, Guochen Jia, Teng Xu, Yaowei Wang, Yonghong Tian, Wen Gao, Zhongwei Chen, Qiong Hu, Lei Qin, Yuanning Li, Luntian Mou, Chi Su, Xiaoyu Fang, Mengren Qian, Menglin Jiang, Tiejun Huang:
PKU@TRECVID2010: Pair-Wise Event Detection in Surveillance Video. TRECVID 2010
2000 – 2009
- 2009
- [c18]Jingjing Yang, Yuanning Li, Yonghong Tian, Lingyu Duan, Wen Gao:
Group-sensitive multiple kernel learning for object categorization. ICCV 2009: 436-443 - [c17]Jia Li, Yonghong Tian, Tiejun Huang, Wen Gao:
A dataset and evaluation methodology for visual saliency in video. ICME 2009: 442-445 - [c16]Jingjing Yang, Yuanning Li, Yonghong Tian, Ling-Yu Duan, Wen Gao:
Multiple kernel active learning for image classification. ICME 2009: 550-553 - [c15]Jingjing Yang, Yuanning Li, Yonghong Tian, Lingyu Duan, Wen Gao:
A New Multiple Kernel Approach for Visual Concept Learning. MMM 2009: 250-262 - [c14]Rong Yang, Yonghong Tian, Tiejun Huang:
DCT-Based Videoprinting on Saliency-Consistent Regions for Detecting Video Copies with Text Insertion. PCM 2009: 797-806 - [c13]Zhipeng Hu, Guangnan Ye, Guochen Jia, Xibin Chen, Kaihua Jiang, Yaowei Wang, Yonghong Tian, Xihong Wu, Wen Gao, Qiong Hu, Lei Qing:
PKU@TRECVID2009: Single-Actor and Pair-Activity Event Detection in surveillance Video. TRECVID 2009 - [p2]Shuqiang Jiang, Yonghong Tian, Qingming Huang, Tiejun Huang, Wen Gao:
Content-Based Video Semantic Analysis. Semantic Mining Technologies for Multimedia Databases 2009: 211-235 - [p1]Yonghong Tian, Shuqiang Jiang, Tiejun Huang, Wen Gao:
Semantic Classification and Annotation of Images. Semantic Mining Technologies for Multimedia Databases 2009: 350-377 - 2008
- [c12]Zhi Zhou, Yonghong Tian, Yuanning Li, Tiejun Huang, Wen Gao:
Large-Scale Cross-Media Retrieval of WikipediaMM Images with Textual and Visual Query Expansion. CLEF 2008: 763-770 - [c11]Zhi Zhou, Yonghong Tian, Yuanning Li, Ting Liu, Tiejun Huang, Wen Gao:
PKU at ImageCLEF 2008: Experiments with Query Extension Techniques for Text-Based and Content-Based Image Retrieval. CLEF (Working Notes) 2008 - [c10]Jia Li, Yonghong Tian, Tiejun Huang, Wen Gao:
Multi-polarity text segmentation using graph theory. ICIP 2008: 3008-3011 - 2007
- [c9]Chong Huang, Yonghong Tian, Zhi Zhou, Tiejun Huang:
Towards multi-granularity multi-facet e-book retrieval. WWW 2007: 1331-1332 - 2006
- [j5]Yonghong Tian:
Context-based statistical relational learning. AI Commun. 19(3): 291-293 (2006) - [j4]Yonghong Tian, Tiejun Huang, Wen Gao:
Latent linkage semantic kernels for collective classification of link data. J. Intell. Inf. Syst. 26(3): 269-301 (2006) - [j3]Yonghong Tian, Qiang Yang, Tiejun Huang, Charles X. Ling, Wen Gao:
Learning Contextual Dependency Network Models for Link-Based Classification. IEEE Trans. Knowl. Data Eng. 18(11): 1482-1496 (2006) - [c8]Yonghong Tian, Tiejun Huang, Wen Gao:
Robust Collective Classification with Contextual Dependency Network Models. ADMA 2006: 173-180 - [c7]Chong Huang, Yonghong Tian, Tiejun Huang, Wen Gao:
Semantic Scoring Based on Small-World Phenomenon for Feature Selection in Text Mining. ADMA 2006: 636-643 - [c6]Chong Huang, Yonghong Tian, Zhi Zhou, Charles X. Ling, Tiejun Huang:
Keyphrase Extraction Using Semantic Networks Structure Analysis. ICDM 2006: 275-284 - [c5]Kai Song, Yonghong Tian, Wen Gao, Tiejun Huang:
Diversifying the image retrieval results. ACM Multimedia 2006: 707-710 - [c4]Kai Song, Yonghong Tian, Tiejun Huang:
Improving the Image Retrieval Results Via Topic Coverage Graph. PCM 2006: 193-200 - 2004
- [j2]Yonghong Tian, Tiejun Huang, Wen Gao:
Two-phase Web site classification based on Hidden Markov Tree models. Web Intell. Agent Syst. 2(4): 249-264 (2004) - [c3]Yonghong Tian, Wen Gao, Tiejun Huang:
Context-Based Classification for Link Data. ICWL 2004: 233-240 - 2003
- [c2]Yonghong Tian, Tie-Jun Huang, Wen Gao, Jun Cheng, PingBo Kang:
Two-Phase Web Site Classification Based on Hidden Markov Tree Models. Web Intelligence 2003: 227-234 - 2002
- [c1]Yonghong Tian, TieJun Huang, Wen Gao:
Quantitatively evaluating the influence of online social interactions in the community-assisted digital library. JCDL 2002: 409 - 2001
- [j1]Wu Yeu, Yonghong Tian, Wanlei Zhou:
The Development of a Mobile Decision Support System. J. Interconnect. Networks 2(3): 379-390 (2001)
Coauthor Index
Ling-Yu Duan
aka: Lingyu Duan
aka: Lingyu Duan
[j131] [j103] [c167] [i109] [j69] [c104] [j46] [c60] [c58] [j30] [j28] [j27] [j26] [j24] [j23] [j20] [j19] [c52] [c51] [c49] [c46] [c45] [j17] [c36] [c32] [j15] [c30] [c25] [j13] [j12] [j11] [j10] [j9] [j7] [j6] [c23] [c19] [c18] [c17] [c16] [c15] [c13] [p2] [p1] [c12] [c11] [c10] [j4] [j3] [c8] [c7] [c5] [j2] [c3] [c2] [c1]
[j123] [i152] [i147] [j100] [j93] [j85] [c167] [j79] [j78] [j77] [j76] [c163] [c161] [c153] [c152] [c151] [c150] [i84] [i83] [i81] [i79] [i74] [j70] [j69] [c146] [c142] [c138] [c137] [c135] [c133] [c132] [c126] [i62] [i55] [i51] [i50] [j60] [j59] [j58] [c123] [c119] [c118] [c111] [c110] [c103] [i28] [j53] [j51] [j50] [j49] [c101] [c100] [c98] [c95] [c94] [c89] [i23] [i22] [i21] [i20] [i16] [i14] [j48] [j47] [c86] [c85] [c79] [i13] [i11] [i10] [i9] [j46] [j45] [j44] [j43] [c77] [c76] [c75] [c74] [c72] [j42] [j40] [c69] [c68] [c67] [c66] [c65] [c64] [i4] [i3] [i2] [j38] [j37] [j36] [j35] [j34] [j32] [c63] [c62] [c61] [c59] [j31] [j30] [j29] [j27] [j26] [c55] [c54] [j24] [j23] [j22] [j21] [j20] [j19] [c52] [c51] [c50] [c48] [c47] [c46] [c45] [c44] [c43] [j17] [c42] [c41] [c40] [c39] [c38] [c37] [c36] [c35] [c33] [c32] [j16] [j15] [c31] [c30] [c29] [c28] [c25] [j14] [j13] [j12] [j10] [j9] [j8] [j7] [j6] [c22] [c21] [c20] [c19] [c17] [c14] [p2] [p1] [c12] [c11] [c10] [c9] [j4] [j3] [c8] [c7] [c6] [c5] [c4] [j2] [c3] [c2] [c1]
[j125] [i166] [j121] [j99] [j96] [i95] [j77] [c163] [i65] [i64] [j73] [j66] [j65] [c140] [c139] [c127] [i45] [i42] [j61] [j57] [c118] [c107] [i33] [i30] [i29] [i28] [j52] [c102] [c98] [c97] [c96] [c92] [i19] [i18] [i17] [i16] [i15] [c81] [i12] [i8] [i7] [j43] [j40] [j37] [j36] [j35] [j34] [j29] [c56] [j22] [j16] [j15] [j10] [j9] [j7] [c22] [c21] [c17] [c10]
[j123] [c202] [i161] [j122] [j107] [c195] [c192] [c183] [i152] [i148] [i147] [i144] [i139] [i127] [j102] [j92] [j88] [c178] [c177] [c176] [c175] [c172] [c165] [i110] [i106] [i105] [i96] [i93] [j80] [j76] [c148] [i83] [i79] [c144] [c142] [c139] [c135] [c134] [i63] [i60] [i45] [c119] [c118] [c110] [c108] [c106] [c105] [i28] [j47] [c67] [c65] [j35] [c40] [c39] [c26]
[i168] [i162] [i158] [j120] [j110] [c196] [i142] [i141] [i135] [i113] [j103] [j86] [c173] [c167] [i109] [j82] [j75] [c159] [i75] [i72] [i70] [i69] [i66] [j69] [j68] [c145] [c144] [i57] [i56] [i52] [i49] [i47] [i46] [j55] [c124] [c114] [c113] [c112] [c111] [c110] [c109] [i35] [c99] [c98] [c90] [i25] [i21] [i16] [j47] [c88] [c87] [c85] [c84] [c83] [c82] [c81] [c80] [c79] [j45] [j44] [c75] [c74] [c72] [c71] [c70] [j42] [c69] [c68] [c67] [c66] [c65] [c64] [i4] [i3] [i2] [i1] [j35] [c63] [c62] [c58] [c55] [c53] [j21] [c50] [c49] [c44] [c43] [c42] [c40] [c39] [c34] [c29] [c26] [c24] [c20] [c19] [c13]
[j133] [j130] [c203] [c200] [c198] [i169] [i157] [j118] [j104] [c190] [c189] [c188] [c182] [i155] [i153] [i151] [i150] [i149] [i145] [i137] [i133] [i130] [i129] [i126] [i125] [i124] [i123] [i119] [i114] [i112] [j95] [c178] [c175] [c173] [c164] [i111] [i106] [i100] [i99] [i98] [i94] [i93] [i88] [i85] [c154] [i78] [i72]
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