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ORCIDYonghong 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 — disambiguation page
- Yonghong Tian 0002 — Inner Mongolia University of Technology, College of Information Engineering, Hohhot, China
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2020 – today
- 2023
[j89]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)- [j88]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) - [j87]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) - [j86]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) - [j85]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) - [j84]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) - [j83]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) - [j82]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) - [j81]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) - [i91]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) - [i90]Guangyao Chen, Peixi Peng, Guoqi Li, Yonghong Tian:
Training Full Spike Neural Networks via Auxiliary Accumulation Pathway. CoRR abs/2301.11929 (2023) - [i89]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) - [i88]Yanqi Chen, Zhengyu Ma, Wei Fang, Xiawu Zheng, Zhaofei Yu, Yonghong Tian:
A Unified Framework for Soft Threshold Pruning. CoRR abs/2302.13019 (2023) - [i87]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) - [i86]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) - [i85]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) - [i84]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) - [i83]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) - [i82]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) - [i81]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) - [i80]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) - 2022
- [j80]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) - [j79]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) - [j78]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) - [j77]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) - [j76]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) - [j75]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) - [j74]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) - [j73]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) - [j72]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) - [c155]Jianing Li, Xiao Wang, Lin Zhu, Jia Li, Tiejun Huang, Yonghong Tian:
Retinomorphic Object Detection in Asynchronous Visual Streams. AAAI 2022: 1332-1340 - [c154]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 - [c153]Xuhui Yang, Yaowei Wang, Ke Chen, Yong Xu, Yonghong Tian:
Fine-Grained Object Classification via Self-Supervised Pose Alignment. CVPR 2022: 7389-7398 - [c152]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 - [c151]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 - [c150]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 - [c149]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 - [c148]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 - [c147]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 - [c146]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 - [c145]Xijie Xiang, Lin Zhu, Jianing Li, Yonghong Tian, Tiejun Huang:
Temporal Up-Sampling for Asynchronous Events. ICME 2022: 1-6 - [c144]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 - [i79]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) - [i78]Ding Chen, Peixi Peng, Tiejun Huang, Yonghong Tian:
Deep Reinforcement Learning with Spiking Q-learning. CoRR abs/2201.09754 (2022) - [i77]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) - [i76]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) - [i75]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) - [i74]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) - [i73]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) - [i72]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) - [i71]Xuhui Yang, Yaowei Wang, Ke Chen, Yong Xu, Yonghong Tian:
Fine-Grained Object Classification via Self-Supervised Pose Alignment. CoRR abs/2203.15987 (2022) - [i70]Xijie Xiang, Lin Zhu, Jianing Li, Yonghong Tian, Tiejun Huang:
Temporal Up-Sampling for Asynchronous Events. CoRR abs/2208.08721 (2022) - [i69]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) - [i68]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) - [i67]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) - [i66]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) - [i65]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) - [i64]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) - [i63]Yifan Zhao, Jia Li, Xiaowu Chen, Yonghong Tian:
Part-guided Relational Transformers for Fine-grained Visual Recognition. CoRR abs/2212.13685 (2022) - [i62]Yifan Zhao, Jia Li, Yonghong Tian:
Parsing Objects at a Finer Granularity: A Survey. CoRR abs/2212.13693 (2022) - 2021
- [j71]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) - [j70]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) - [j69]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) - [j68]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) - [j67]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) - [j66]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) - [j65]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) - [j64]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) - [j63]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) - [j62]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) - [c143]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 - [c142]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 - [c141]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 - [c140]Li Ma, Peixi Peng, Peiyin Xing, Yaowei Wang, Yonghong Tian:
Reducing Image Compression Artifacts for Deep Neural Networks. DCC 2021: 355 - [c139]Peiyin Xing, Yangang Cai, Xufeng Li, Yonghong Tian:
Short Video Performance Evaluation of AV1 Coding Tools. DCC 2021: 378 - [c138]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 - [c137]Jiajian Zhao, Yifan Zhao, Jia Li, Ke Yan, Yonghong Tian:
Heterogeneous Relational Complement for Vehicle Re-identification. ICCV 2021: 205-214 - [c136]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 - [c135]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 - [c134]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 - [c133]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 - [c132]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 - [c131]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 - [c130]Yanqi Chen, Zhaofei Yu, Wei Fang, Tiejun Huang, Yonghong Tian:
Pruning of Deep Spiking Neural Networks through Gradient Rewiring. IJCAI 2021: 1713-1721 - [c129]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 - [c128]Mengjun Cheng, Zishang Kong, Guoli Song, Yonghong Tian, Yongsheng Liang, Jie Chen:
Learnable Oriented-Derivative Network for Polyp Segmentation. MICCAI (1) 2021: 720-730 - [c127]Zhaodong Kang, Jianing Li, Lin Zhu, Yonghong Tian:
Retinomorphic Sensing: A Novel Paradigm for Future Multimedia Computing. ACM Multimedia 2021: 144-152 - [c126]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 - [c125]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 - [c124]Daxin Gu, Jia Li, Yu Zhang, Yonghong Tian:
How to Learn a Domain-Adaptive Event Simulator? ACM Multimedia 2021: 1275-1283 - [c123]Wei Fang, Zhaofei Yu, Yanqi Chen, Tiejun Huang, Timothée Masquelier, Yonghong Tian:
Deep Residual Learning in Spiking Neural Networks. NeurIPS 2021: 21056-21069 - [c122]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 - [i61]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) - [i60]Wei Fang, Zhaofei Yu, Timothée Masquelier, Yanqi Chen, Tiejun Huang, Yonghong Tian:
Spike-based Residual Blocks. CoRR abs/2102.04159 (2021) - [i59]Guangyao Chen, Peixi Peng, Xiangqian Wang, Yonghong Tian:
Adversarial Reciprocal Points Learning for Open Set Recognition. CoRR abs/2103.00953 (2021) - [i58]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) - [i57]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) - [i56]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) - [i55]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) - [i54]Siwei Dong, Tiejun Huang, Yonghong Tian:
Spike Camera and Its Coding Methods. CoRR abs/2104.04669 (2021) - [i53]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) - [i52]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) - [i51]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) - [i50]Yanqi Chen, Zhaofei Yu, Wei Fang, Tiejun Huang, Yonghong Tian:
Pruning of Deep Spiking Neural Networks through Gradient Rewiring. CoRR abs/2105.04916 (2021) - [i49]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) - [i48]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) - [i47]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) - [i46]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) - [i45]