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2020 – today
- 2025
[j79]Jiwei Zhang, Yi Yu, Suhua Tang, Guo-Jun Qi, Haiyuan Wu, Hirotaka Hachiya:
Enhancing semantic audio-visual representation learning with supervised multi-scale attention. Pattern Anal. Appl. 28(2): 40 (2025)- [j78]Wenjie Li
, Juncheng Li, Guangwei Gao, Weihong Deng, Jian Yang, Guo-Jun Qi, Chia-Wen Lin:
Efficient Image Super-Resolution With Feature Interaction Weighted Hybrid Network. IEEE Trans. Multim. 27: 2256-2267 (2025) - [i85]Xuehao Gao, Yang Yang, Shaoyi Du, Guo-Jun Qi, Junwei Han:
Jointly Understand Your Command and Intention:Reciprocal Co-Evolution between Scene-Aware 3D Human Motion Synthesis and Analysis. CoRR abs/2503.00371 (2025) - [i84]Xuehao Gao, Yang Yang, Shaoyi Du, Yang Wu, Yebin Liu, Guo-Jun Qi:
EigenActor: Variant Body-Object Interaction Generation Evolved from Invariant Action Basis Reasoning. CoRR abs/2503.00382 (2025) - [i83]Shun Zou, Yi Zou, Mingya Zhang, Shipeng Luo, Guangwei Gao, Guojun Qi:
Learning Dual-Domain Multi-Scale Representations for Single Image Deraining. CoRR abs/2503.12014 (2025) - [i82]Shun Zou, Yi Zou, Juncheng Li, Guangwei Gao, Guojun Qi:
Cross Paradigm Representation and Alignment Transformer for Image Deraining. CoRR abs/2504.16455 (2025) - 2024
- [j77]Yawen Huang, Hao Zheng, Yuexiang Li, Feng Zheng, Xiantong Zhen, Guo-Jun Qi, Ling Shao, Yefeng Zheng:
Multi-Constraint Transferable Generative Adversarial Networks for Cross-Modal Brain Image Synthesis. Int. J. Comput. Vis. 132(11): 4937-4953 (2024) - [j76]Liangxi Liu, Xi Jiang, Feng Zheng, Hong Chen, Guo-Jun Qi, Heng Huang, Ling Shao:
A Bayesian Federated Learning Framework With Online Laplace Approximation. IEEE Trans. Pattern Anal. Mach. Intell. 46(1): 1-16 (2024) - [j75]Xuehao Gao, Yang Yang, Yang Wu, Shaoyi Du, Guo-Jun Qi:
Multi-Condition Latent Diffusion Network for Scene-Aware Neural Human Motion Prediction. IEEE Trans. Image Process. 33: 3907-3920 (2024) - [j74]Wenjie Li, Juncheng Li, Guangwei Gao, Weihong Deng, Jiantao Zhou, Jian Yang, Guo-Jun Qi:
Cross-Receptive Focused Inference Network for Lightweight Image Super-Resolution. IEEE Trans. Multim. 26: 864-877 (2024) - [j73]Xiang Gao, Wei Hu, Guo-Jun Qi:
Self-supervised Multi-view Learning via Auto-encoding 3D Transformations. ACM Trans. Multim. Comput. Commun. Appl. 20(1): 19:1-19:23 (2024) - [c112]Yuming Qiao, Fanyi Wang, Jingwen Su, Yanhao Zhang, Yunjie Yu, Siyu Wu, Guo-Jun Qi:
BARET: Balanced Attention Based Real Image Editing Driven by Target-Text Inversion. AAAI 2024: 4560-4568 - [c111]Mingyuan Zhou, Rakib Hyder, Ziwei Xuan, Guojun Qi:
UltrAvatar: A Realistic Animatable 3D Avatar Diffusion Model with Authenticity Guided Textures. CVPR 2024: 1238-1248 - [c110]Zhangsihao Yang, Mingyuan Zhou, Mengyi Shan, Bingbing Wen, Ziwei Xuan, Mitch Hill, Junjie Bai, Guo-Jun Qi, Yalin Wang:
OmniMotionGPT: Animal Motion Generation with Limited Data. CVPR 2024: 1249-1259 - [c109]Zilyu Ye, Jinxiu Liu, Jinjin Cao, Zhiyang Chen, Ziwei Xuan, Mingyuan Zhou, Qi Liu, Guo-Jun Qi:
OpenStory: A Large-Scale Open-Domain Dataset for Subject-Driven Visual Storytelling. CVPR Workshops 2024: 7953-7962 - [c108]Mengyi Shan, Lu Dong, Yutao Han, Yuan Yao, Tao Liu, Ifeoma Nwogu, Guo-Jun Qi, Mitch Hill:
Towards Open Domain Text-Driven Synthesis of Multi-person Motions. ECCV (65) 2024: 67-86 - [c107]Peng Liu, Fanyi Wang, Jingwen Su, Yanhao Zhang, Guojun Qi:
Lightweight High-Resolution Subject Matting in the Real World. ICASSP 2024: 3440-3444 - [c106]Bingwen Zhu, Fanyi Wang, Tianyi Lu, Peng Liu, Jingwen Su, Jinxiu Liu, Yanhao Zhang, Zuxuan Wu, Guo-Jun Qi, Yu-Gang Jiang:
Zero-shot High-fidelity and Pose-controllable Character Animation. IJCAI 2024: 1788-1797 - [c105]Liyuan Ma, Xueji Fang, Guo-Jun Qi:
Equilibrated Diffusion: Frequency-aware Textual Embedding for Equilibrated Image Customization. ACM Multimedia 2024: 196-204 - [c104]Weijian Luo, Zemin Huang, Zhengyang Geng, J. Zico Kolter, Guo-Jun Qi:
One-Step Diffusion Distillation through Score Implicit Matching. NeurIPS 2024 - [i81]Mingyuan Zhou, Rakib Hyder, Ziwei Xuan, Guojun Qi:
UltrAvatar: A Realistic Animatable 3D Avatar Diffusion Model with Authenticity Guided Textures. CoRR abs/2401.11078 (2024) - [i80]Zhiyuan Ma, Xiangyu Zhu, Guojun Qi, Chen Qian, Zhaoxiang Zhang, Zhen Lei:
DiffSpeaker: Speech-Driven 3D Facial Animation with Diffusion Transformer. CoRR abs/2402.05712 (2024) - [i79]Bingwen Zhu, Fanyi Wang, Tianyi Lu, Peng Liu, Jingwen Su, Jinxiu Liu, Yanhao Zhang, Zuxuan Wu, Yu-Gang Jiang, Guo-Jun Qi:
PoseAnimate: Zero-shot high fidelity pose controllable character animation. CoRR abs/2404.13680 (2024) - [i78]Mengyi Shan, Lu Dong, Yutao Han, Yuan Yao, Tao Liu, Ifeoma Nwogu, Guo-Jun Qi, Mitch Hill:
Towards Open Domain Text-Driven Synthesis of Multi-Person Motions. CoRR abs/2405.18483 (2024) - [i77]Xuehao Gao, Yang Yang, Yang Wu, Shaoyi Du, Guo-Jun Qi:
Multi-Condition Latent Diffusion Network for Scene-Aware Neural Human Motion Prediction. CoRR abs/2405.18700 (2024) - [i76]Zilyu Ye, Jinxiu Liu, Ruotian Peng, Jinjin Cao, Zhiyang Chen, Yiyang Zhang, Ziwei Xuan, Mingyuan Zhou, Xiaoqian Shen, Mohamed Elhoseiny, Qi Liu, Guo-Jun Qi:
Openstory++: A Large-scale Dataset and Benchmark for Instance-aware Open-domain Visual Storytelling. CoRR abs/2408.03695 (2024) - [i75]Weijian Luo, Zemin Huang, Zhengyang Geng, J. Zico Kolter, Guo-Jun Qi:
One-Step Diffusion Distillation through Score Implicit Matching. CoRR abs/2410.16794 (2024) - [i74]Zemin Huang, Zhengyang Geng, Weijian Luo, Guo-Jun Qi:
Flow Generator Matching. CoRR abs/2410.19310 (2024) - [i73]Guoan Xu, Jiaming Chen, Wenfeng Huang, Wenjing Jia, Guangwei Gao, Guo-Jun Qi:
SCASeg: Strip Cross-Attention for Efficient Semantic Segmentation. CoRR abs/2411.17061 (2024) - [i72]Zilyu Ye, Zhiyang Chen, Tiancheng Li, Zemin Huang, Weijian Luo, Guo-Jun Qi:
Schedule On the Fly: Diffusion Time Prediction for Faster and Better Image Generation. CoRR abs/2412.01243 (2024) - [i71]Tiancheng Li, Weijian Luo, Zhiyang Chen, Liyuan Ma, Guo-Jun Qi:
Self-Guidance: Boosting Flow and Diffusion Generation on Their Own. CoRR abs/2412.05827 (2024) - 2023
- [j72]Siwei Ma, Maoguo Gong, Guojun Qi, Yun Tie, Ivan Lee, Bo Li, Cong Jin:
Guest Editorial: Special issue on media convergence and intelligent technology in the metaverse. CAAI Trans. Intell. Technol. 8(2): 285-287 (2023) - [j71]Weiyao Lin, Huabin Liu, Shizhan Liu, Yuxi Li, Hongkai Xiong, Guojun Qi, Nicu Sebe:
HiEve: A Large-Scale Benchmark for Human-Centric Video Analysis in Complex Events. Int. J. Comput. Vis. 131(11): 2994-3018 (2023) - [j70]Xiao Wang, Guo-Jun Qi:
Contrastive Learning With Stronger Augmentations. IEEE Trans. Pattern Anal. Mach. Intell. 45(5): 5549-5560 (2023) - [j69]Xiao Wang, Yuhang Huang, Dan Zeng, Guo-Jun Qi:
CaCo: Both Positive and Negative Samples are Directly Learnable via Cooperative-Adversarial Contrastive Learning. IEEE Trans. Pattern Anal. Mach. Intell. 45(9): 10718-10730 (2023) - [j68]Hao Zheng, Jinbao Wang, Xiantong Zhen, Jingkuan Song, Feng Zheng, Ke Lu, Guo-Jun Qi:
Continuous cross-modal hashing. Pattern Recognit. 142: 109662 (2023) - [j67]Guangwei Gao, Zixiang Xu, Juncheng Li, Jian Yang, Tieyong Zeng, Guo-Jun Qi:
CTCNet: A CNN-Transformer Cooperation Network for Face Image Super-Resolution. IEEE Trans. Image Process. 32: 1978-1991 (2023) - [j66]Ying Wang, Ziwei Xuan, Chiuman Ho, Guo-Jun Qi:
Adversarial Dense Contrastive Learning for Semi-Supervised Semantic Segmentation. IEEE Trans. Image Process. 32: 4459-4471 (2023) - [j65]Sanyi Zhang, Xiaochun Cao, Rui Wang, Guo-Jun Qi, Jie Zhou:
Exploring the Robustness of Human Parsers Toward Common Corruptions. IEEE Trans. Image Process. 32: 5394-5407 (2023) - [j64]Xiang Gao, Wei Hu, Guo-Jun Qi:
Self-Supervised Graph Representation Learning via Topology Transformations. IEEE Trans. Knowl. Data Eng. 35(4): 4202-4215 (2023) - [j63]Rui Wang, Zuxuan Wu, Zejia Weng, Jingjing Chen, Guo-Jun Qi, Yu-Gang Jiang:
Cross-Domain Contrastive Learning for Unsupervised Domain Adaptation. IEEE Trans. Multim. 25: 1665-1673 (2023) - [c103]Ce Zheng, Xianpeng Liu, Guo-Jun Qi, Chen Chen:
POTTER: Pooling Attention Transformer for Efficient Human Mesh Recovery. CVPR 2023: 1611-1620 - [c102]Tingting Liao, Xiaomei Zhang, Yuliang Xiu, Hongwei Yi, Xudong Liu, Guo-Jun Qi, Yong Zhang, Xuan Wang, Xiangyu Zhu, Zhen Lei:
High-Fidelity Clothed Avatar Reconstruction from a Single Image. CVPR 2023: 8662-8672 - [c101]Ce Zheng, Matías Mendieta, Taojiannan Yang, Guo-Jun Qi, Chen Chen:
FeatER: An Efficient Network for Human Reconstruction via Feature Map-Based TransformER. CVPR 2023: 13945-13954 - [c100]Zhiyuan Ma, Xiangyu Zhu, Guojun Qi, Zhen Lei, Lei Zhang:
OTAvatar: One-Shot Talking Face Avatar with Controllable Tri-Plane Rendering. CVPR 2023: 16901-16910 - [c99]Benzhi Wang, Yang Yang, Jinlin Wu, Guo-Jun Qi, Zhen Lei:
Self-similarity Driven Scale-invariant Learning for Weakly Supervised Person Search. ICCV 2023: 1813-1822 - [c98]Xianpeng Liu, Ce Zheng, Kelvin Cheng, Nan Xue, Guo-Jun Qi, Tianfu Wu:
Monocular 3D Object Detection with Bounding Box Denoising in 3D by Perceiver. ICCV 2023: 6413-6423 - [c97]Yuelang Xu, Hongwen Zhang, Lizhen Wang, Xiaochen Zhao, Han Huang, Guojun Qi, Yebin Liu:
LatentAvatar: Learning Latent Expression Code for Expressive Neural Head Avatar. SIGGRAPH (Conference Paper Track) 2023: 86:1-86:10 - [i70]Na Zhang, Xudong Liu, Xin Li, Guo-Jun Qi:
MorphGANFormer: Transformer-based Face Morphing and De-Morphing. CoRR abs/2302.09404 (2023) - [i69]Benzhi Wang, Yang Yang, Jinlin Wu, Guo-Jun Qi, Zhen Lei:
Self-similarity Driven Scale-invariant Learning for Weakly Supervised Person Search. CoRR abs/2302.12986 (2023) - [i68]Xiao Wang, Ying Wang, Ziwei Xuan, Guo-Jun Qi:
AdPE: Adversarial Positional Embeddings for Pretraining Vision Transformers via MAE+. CoRR abs/2303.07598 (2023) - [i67]Ce Zheng, Xianpeng Liu, Guo-Jun Qi, Chen Chen:
POTTER: Pooling Attention Transformer for Efficient Human Mesh Recovery. CoRR abs/2303.13357 (2023) - [i66]Ce Zheng, Guo-Jun Qi, Chen Chen:
DDT: A Diffusion-Driven Transformer-based Framework for Human Mesh Recovery from a Video. CoRR abs/2303.13397 (2023) - [i65]Zhiyuan Ma, Xiangyu Zhu, Guojun Qi, Zhen Lei, Lei Zhang:
OTAvatar: One-shot Talking Face Avatar with Controllable Tri-plane Rendering. CoRR abs/2303.14662 (2023) - [i64]Xianpeng Liu, Ce Zheng, Kelvin Cheng, Nan Xue, Guo-Jun Qi, Tianfu Wu:
Monocular 3D Object Detection with Bounding Box Denoising in 3D by Perceiver. CoRR abs/2304.01289 (2023) - [i63]Tingting Liao, Xiaomei Zhang, Yuliang Xiu, Hongwei Yi, Xudong Liu, Guo-Jun Qi, Yong Zhang, Xuan Wang, Xiangyu Zhu, Zhen Lei:
High-Fidelity Clothed Avatar Reconstruction from a Single Image. CoRR abs/2304.03903 (2023) - [i62]Yuelang Xu, Hongwen Zhang, Lizhen Wang, Xiaochen Zhao, Han Huang, Guojun Qi, Yebin Liu:
LatentAvatar: Learning Latent Expression Code for Expressive Neural Head Avatar. CoRR abs/2305.01190 (2023) - [i61]Sanyi Zhang, Xiaochun Cao, Rui Wang, Guo-Jun Qi, Jie Zhou:
Exploring the Robustness of Human Parsers Towards Common Corruptions. CoRR abs/2309.00938 (2023) - [i60]Zhangsihao Yang, Mingyuan Zhou, Mengyi Shan, Bingbing Wen, Ziwei Xuan, Mitch Hill, Junjie Bai, Guo-Jun Qi, Yalin Wang:
OmniMotionGPT: Animal Motion Generation with Limited Data. CoRR abs/2311.18303 (2023) - [i59]Yuming Qiao, Fanyi Wang, Jingwen Su, Yanhao Zhang, Yunjie Yu, Siyu Wu, Guo-Jun Qi:
BARET : Balanced Attention based Real image Editing driven by Target-text Inversion. CoRR abs/2312.05482 (2023) - [i58]Peng Liu, Fanyi Wang, Jingwen Su, Yanhao Zhang, Guojun Qi:
Lightweight high-resolution Subject Matting in the Real World. CoRR abs/2312.07100 (2023) - 2022
- [j62]Guo-Jun Qi, Liheng Zhang, Feng Lin, Xiao Wang:
Learning Generalized Transformation Equivariant Representations Via AutoEncoding Transformations. IEEE Trans. Pattern Anal. Mach. Intell. 44(4): 2045-2057 (2022) - [j61]Guo-Jun Qi, Jiebo Luo:
Small Data Challenges in Big Data Era: A Survey of Recent Progress on Unsupervised and Semi-Supervised Methods. IEEE Trans. Pattern Anal. Mach. Intell. 44(4): 2168-2187 (2022) - [j60]Xiangbo Shu, Liyan Zhang, Guo-Jun Qi, Wei Liu, Jinhui Tang:
Spatiotemporal Co-Attention Recurrent Neural Networks for Human-Skeleton Motion Prediction. IEEE Trans. Pattern Anal. Mach. Intell. 44(6): 3300-3315 (2022) - [j59]Haohang Xu, Hongkai Xiong, Guo-Jun Qi:
$K$K-Shot Contrastive Learning of Visual Features With Multiple Instance Augmentations. IEEE Trans. Pattern Anal. Mach. Intell. 44(11): 8694-8700 (2022) - [j58]Guangwei Gao, Yi Yu, Jian Yang, Guo-Jun Qi, Meng Yang:
Hierarchical Deep CNN Feature Set-Based Representation Learning for Robust Cross-Resolution Face Recognition. IEEE Trans. Circuits Syst. Video Technol. 32(5): 2550-2560 (2022) - [j57]Tiantian Geng, Feng Zheng, Xiaorong Hou, Ke Lu, Guo-Jun Qi, Ling Shao:
Spatial-Temporal Pyramid Graph Reasoning for Action Recognition. IEEE Trans. Image Process. 31: 5484-5497 (2022) - [j56]Sanyi Zhang, Xiaochun Cao, Guo-Jun Qi, Zhanjie Song, Jie Zhou:
AIParsing: Anchor-Free Instance-Level Human Parsing. IEEE Trans. Image Process. 31: 5599-5612 (2022) - [c96]Yutao Han, Youya Xia, Guo-Jun Qi, Mark E. Campbell:
Planning Paths through Occlusions in Urban Environments. CoRL 2022: 266-275 - [c95]Ziteng Cui, Yingying Zhu, Lin Gu, Guo-Jun Qi, Xiaoxiao Li, Renrui Zhang, Zenghui Zhang, Tatsuya Harada:
Exploring Resolution and Degradation Clues as Self-supervised Signal for Low Quality Object Detection. ECCV (9) 2022: 473-491 - [i57]Ziteng Cui, Yingying Zhu, Lin Gu, Guo-Jun Qi, Xiaoxiao Li, Peng Gao, Zenghui Zhang, Tatsuya Harada:
RestoreDet: Degradation Equivariant Representation for Object Detection in Low Resolution Images. CoRR abs/2201.02314 (2022) - [i56]Ying Wang, Chiuman Ho, Wenju Xu, Ziwei Xuan, Xudong Liu, Guo-Jun Qi:
Dual-Flattening Transformers through Decomposed Row and Column Queries for Semantic Segmentation. CoRR abs/2201.09139 (2022) - [i55]Xiao Wang, Yuhang Huang, Dan Zeng, Guo-Jun Qi:
CaCo: Both Positive and Negative Samples are Directly Learnable via Cooperative-adversarial Contrastive Learning. CoRR abs/2203.14370 (2022) - [i54]Guangwei Gao, Zixiang Xu, Juncheng Li, Jian Yang, Tieyong Zeng, Guo-Jun Qi:
CTCNet: A CNN-Transformer Cooperation Network for Face Image Super-Resolution. CoRR abs/2204.08696 (2022) - [i53]Ziteng Cui, Guo-Jun Qi, Lin Gu, Shaodi You, Zenghui Zhang, Tatsuya Harada:
Multitask AET with Orthogonal Tangent Regularity for Dark Object Detection. CoRR abs/2205.03346 (2022) - [i52]Wenjie Li, Juncheng Li, Guangwei Gao, Jiantao Zhou, Jian Yang, Guo-Jun Qi:
Cross-receptive Focused Inference Network for Lightweight Image Super-Resolution. CoRR abs/2207.02796 (2022) - [i51]Sanyi Zhang, Xiaochun Cao, Guo-Jun Qi, Zhanjie Song, Jie Zhou:
AIParsing: Anchor-free Instance-level Human Parsing. CoRR abs/2207.06854 (2022) - [i50]Ziteng Cui, Yingying Zhu, Lin Gu, Guo-Jun Qi, Xiaoxiao Li, Renrui Zhang, Zenghui Zhang, Tatsuya Harada:
Exploring Resolution and Degradation Clues as Self-supervised Signal for Low Quality Object Detection. CoRR abs/2208.03062 (2022) - [i49]Guo-Jun Qi, Mubarak Shah:
Adversarial Pretraining of Self-Supervised Deep Networks: Past, Present and Future. CoRR abs/2210.13463 (2022) - [i48]Yutao Han, Youya Xia, Guo-Jun Qi, Mark Campbell:
Planning Paths through Occlusions in Urban Environments. CoRR abs/2212.14138 (2022) - [i47]Wenjie Li, Juncheng Li, Guangwei Gao, Weihong Deng, Jian Yang, Guo-Jun Qi, Chia-Wen Lin:
Efficient Image Super-Resolution with Feature Interaction Weighted Hybrid Network. CoRR abs/2212.14181 (2022) - 2021
- [j55]Yunxiao Qin, Weiguo Zhang, Chenxu Zhao, Zezheng Wang, Xiangyu Zhu, Jingping Shi, Guojun Qi, Zhen Lei:
Prior-knowledge and attention based meta-learning for few-shot learning. Knowl. Based Syst. 213: 106609 (2021) - [j54]Xiangbo Shu, Jinhui Tang, Guo-Jun Qi, Wei Liu, Jian Yang:
Hierarchical Long Short-Term Concurrent Memory for Human Interaction Recognition. IEEE Trans. Pattern Anal. Mach. Intell. 43(3): 1110-1118 (2021) - [j53]Yuhui Xu, Lingxi Xie, Wenrui Dai, Xiaopeng Zhang, Xin Chen, Guo-Jun Qi, Hongkai Xiong, Qi Tian:
Partially-Connected Neural Architecture Search for Reduced Computational Redundancy. IEEE Trans. Pattern Anal. Mach. Intell. 43(9): 2953-2970 (2021) - [j52]Sanyi Zhang, Guo-Jun Qi, Xiaochun Cao, Zhanjie Song, Jie Zhou:
Human Parsing With Pyramidical Gather-Excite Context. IEEE Trans. Circuits Syst. Video Technol. 31(3): 1016-1030 (2021) - [j51]Xiao Wang, Daisuke Kihara, Jiebo Luo, Guo-Jun Qi:
EnAET: A Self-Trained Framework for Semi-Supervised and Supervised Learning With Ensemble Transformations. IEEE Trans. Image Process. 30: 1639-1647 (2021) - [j50]Yiheng Liu, Wengang Zhou, Jianzhuang Liu, Guo-Jun Qi, Qi Tian, Houqiang Li:
An End-to-End Foreground-Aware Network for Person Re-Identification. IEEE Trans. Image Process. 30: 2060-2071 (2021) - [j49]Qiaokang Xie, Wengang Zhou, Guo-Jun Qi, Qi Tian, Houqiang Li:
Progressive Unsupervised Person Re-Identification by Tracklet Association With Spatio-Temporal Regularization. IEEE Trans. Multim. 23: 597-610 (2021) - [c94]Xuesong Chen, Canmiao Fu, Feng Zheng, Yong Zhao, Hongsheng Li, Ping Luo, Guo-Jun Qi:
A Unified Multi-Scenario Attacking Network for Visual Object Tracking. AAAI 2021: 1097-1104 - [c93]Feng Lin, Haohang Xu, Houqiang Li, Hongkai Xiong, Guo-Jun Qi:
Auto-Encoding Transformations in Reparameterized Lie Groups for Unsupervised Learning. AAAI 2021: 8610-8617 - [c92]Qianjiang Hu, Xiao Wang, Wei Hu, Guo-Jun Qi:
AdCo: Adversarial Contrast for Efficient Learning of Unsupervised Representations From Self-Trained Negative Adversaries. CVPR 2021: 1074-1083 - [c91]Xu Yang, Hanwang Zhang, Guojun Qi, Jianfei Cai:
Causal Attention for Vision-Language Tasks. CVPR 2021: 9847-9857 - [c90]Ziteng Cui, Guo-Jun Qi, Lin Gu, Shaodi You, Zenghui Zhang, Tatsuya Harada:
Multitask AET with Orthogonal Tangent Regularity for Dark Object Detection. ICCV 2021: 2533-2542 - [c89]Si Chen, Mostafa Kahla, Ruoxi Jia, Guo-Jun Qi:
Knowledge-Enriched Distributional Model Inversion Attacks. ICCV 2021: 16158-16167 - [i46]Xiang Gao, Wei Hu, Guo-Jun Qi:
Self-Supervised Multi-View Learning via Auto-Encoding 3D Transformations. CoRR abs/2103.00787 (2021) - [i45]Xu Yang, Hanwang Zhang, Guojun Qi, Jianfei Cai:
Causal Attention for Vision-Language Tasks. CoRR abs/2103.03493 (2021) - [i44]Guangwei Gao, Yi Yu, Jian Yang, Guo-Jun Qi, Meng Yang:
Hierarchical Deep CNN Feature Set-Based Representation Learning for Robust Cross-Resolution Face Recognition. CoRR abs/2103.13851 (2021) - [i43]Xiao Wang, Guo-Jun Qi:
Contrastive Learning with Stronger Augmentations. CoRR abs/2104.07713 (2021) - [i42]Xiang Gao, Wei Hu, Guo-Jun Qi:
Self-Supervised Graph Representation Learning via Topology Transformations. CoRR abs/2105.11689 (2021) - [i41]Rui Wang, Zuxuan Wu, Zejia Weng, Jingjing Chen, Guo-Jun Qi, Yu-Gang Jiang:
Cross-domain Contrastive Learning for Unsupervised Domain Adaptation. CoRR abs/2106.05528 (2021) - 2020
- [j48]Guo-Jun Qi:
Loss-Sensitive Generative Adversarial Networks on Lipschitz Densities. Int. J. Comput. Vis. 128(5): 1118-1140 (2020) - [j47]Jun Ye, Guo-Jun Qi, Naifan Zhuang, Hao Hu, Kien A. Hua:
Learning Compact Features for Human Activity Recognition Via Probabilistic First-Take-All. IEEE Trans. Pattern Anal. Mach. Intell. 42(1): 126-139 (2020) - [j46]Mohsen Joneidi, Alireza Zaeemzadeh, Behzad Shahrasbi, Guo-Jun Qi, Nazanin Rahnavard:
E-Optimal Sensor Selection for Compressive Sensing-Based Purposes. IEEE Trans. Big Data 6(1): 51-65 (2020) - [j45]Jiwen Lu, Yuxin Peng, Guo-Jun Qi, Jun Yu:
Guest Editorial Introduction to the Special Section on Representation Learning for Visual Content Understanding. IEEE Trans. Circuits Syst. Video Technol. 30(9): 2797-2800 (2020) - [c88]Ning Wang, Wengang Zhou, Guojun Qi, Houqiang Li:
POST: POlicy-Based Switch Tracking. AAAI 2020: 12184-12191 - [c87]Jiayu Wang, Wengang Zhou, Guo-Jun Qi, Zhongqian Fu, Qi Tian, Houqiang Li:
Transformation GAN for Unsupervised Image Synthesis and Representation Learning. CVPR 2020: 469-478 - [c86]Liheng Zhang, Guo-Jun Qi:
WCP: Worst-Case Perturbations for Semi-Supervised Deep Learning. CVPR 2020: 3911-3920 - [c85]Qin Yang, Chenglin Li, Wenrui Dai, Junni Zou, Guo-Jun Qi, Hongkai Xiong:
Rotation Equivariant Graph Convolutional Network for Spherical Image Classification. CVPR 2020: 4302-4311 - [c84]Xiang Gao, Wei Hu, Guo-Jun Qi:
GraphTER: Unsupervised Learning of Graph Transformation Equivariant Representations via Auto-Encoding Node-Wise Transformations. CVPR 2020: 7161-7170 - [c83]Haozhe Wu, Jia Jia, Lingxi Xie, Guojun Qi, Yuanchun Shi, Qi Tian:
Cross-VAE: Towards Disentangling Expression from Identity For Human Faces. ICASSP 2020: 4087-4091 - [c82]Yuhui Xu, Lingxi Xie, Xiaopeng Zhang, Xin Chen, Guo-Jun Qi, Qi Tian, Hongkai Xiong:
PC-DARTS: Partial Channel Connections for Memory-Efficient Architecture Search. ICLR 2020 - [e3]Chang Wen Chen, Rita Cucchiara, Xian-Sheng Hua, Guo-Jun Qi, Elisa Ricci, Zhengyou Zhang, Roger Zimmermann:
MM '20: The 28th ACM International Conference on Multimedia, Virtual Event / Seattle, WA, USA, October 12-16, 2020. ACM 2020, ISBN 978-1-4503-7988-5 [contents] - [i40]Mingxing Xu, Wenrui Dai, Chunmiao Liu, Xing Gao, Weiyao Lin, Guo-Jun Qi, Hongkai Xiong:
Spatial-Temporal Transformer Networks for Traffic Flow Forecasting. CoRR abs/2001.02908 (2020) - [i39]Weiyao Lin, Huabin Liu, Shizhan Liu, Yuxi Li, Guo-Jun Qi, Rui Qian, Tao Wang, Nicu Sebe, Ning Xu, Hongkai Xiong, Mubarak Shah:
Human in Events: A Large-Scale Benchmark for Human-centric Video Analysis in Complex Events. CoRR abs/2005.04490 (2020) - [i38]Haohang Xu, Hongkai Xiong, Guo-Jun Qi:
K-Shot Contrastive Learning of Visual Features with Multiple Instance Augmentations. CoRR abs/2007.13310 (2020) - [i37]Si Chen, Ruoxi Jia, Guo-Jun Qi:
Improved Techniques for Model Inversion Attacks. CoRR abs/2010.04092 (2020) - [i36]Qianjiang Hu, Xiao Wang, Wei Hu, Guo-Jun Qi:
AdCo: Adversarial Contrast for Efficient Learning of Unsupervised Representations from Self-Trained Negative Adversaries. CoRR abs/2011.08435 (2020)
2010 – 2019
- 2019
- [j44]Xiangyu Zhu, Hao Liu, Zhen Lei, Hailin Shi, Fan Yang, Dong Yi, Guojun Qi, Stan Z. Li:
Large-Scale Bisample Learning on ID Versus Spot Face Recognition. Int. J. Comput. Vis. 127(6-7): 684-700 (2019) - [j43]Yanxiang Chen, Guang Wu, Jie Zhou, Guojun Qi:
Image generation via latent space learning using improved combination. Neurocomputing 340: 8-18 (2019) - [j42]Chen Shen, Guo-Jun Qi, Rongxin Jiang, Zhongming Jin, Hongwei Yong, Yaowu Chen, Xian-Sheng Hua:
Sharp Attention Network via Adaptive Sampling for Person Re-Identification. IEEE Trans. Circuits Syst. Video Technol. 29(10): 3016-3027 (2019) - [j41]Lu Jin, Xiangbo Shu, Kai Li, Zechao Li, Guo-Jun Qi, Jinhui Tang:
Deep Ordinal Hashing With Spatial Attention. IEEE Trans. Image Process. 28(5): 2173-2186 (2019) - [j40]Lu Jin, Kai Li, Zechao Li, Fu Xiao, Guo-Jun Qi, Jinhui Tang:
Deep Semantic-Preserving Ordinal Hashing for Cross-Modal Similarity Search. IEEE Trans. Neural Networks Learn. Syst. 30(5): 1429-1440 (2019) - [j39]Chen Shen, Zhongming Jin, Wenqing Chu, Rongxin Jiang, Yaowu Chen, Guo-Jun Qi, Xian-Sheng Hua:
Multi-level Similarity Perception Network for Person Re-identification. ACM Trans. Multim. Comput. Commun. Appl. 15(2): 32:1-32:19 (2019) - [j38]Naifan Zhuang, Guo-Jun Qi, The Duc Kieu, Kien A. Hua:
Rethinking the Combined and Individual Orders of Derivative of States for Differential Recurrent Neural Networks: Deep Differential Recurrent Neural Networks. ACM Trans. Multim. Comput. Commun. Appl. 15(3): 83:1-83:21 (2019) - [c81]Hao Hu, Liqiang Wang, Guo-Jun Qi:
Learning to Adaptively Scale Recurrent Neural Networks. AAAI 2019: 3822-3829 - [c80]Muhammad Abdullah Jamal, Guo-Jun Qi:
Task Agnostic Meta-Learning for Few-Shot Learning. CVPR 2019: 11719-11727 - [c79]Liheng Zhang, Guo-Jun Qi, Liqiang Wang, Jiebo Luo:
AET vs. AED: Unsupervised Representation Learning by Auto-Encoding Transformations Rather Than Data. CVPR 2019 - [c78]Zhimao Peng, Zechao Li, Junge Zhang, Yan Li, Guo-Jun Qi, Jinhui Tang:
Few-Shot Image Recognition With Knowledge Transfer. ICCV 2019: 441-449 - [c77]Guo-Jun Qi, Liheng Zhang, Chang Wen Chen, Qi Tian:
AVT: Unsupervised Learning of Transformation Equivariant Representations by Autoencoding Variational Transformations. ICCV 2019: 8129-8138 - [c76]Bin Wang, Guojun Qi, Sheng Tang, Tianzhu Zhang, Yunchao Wei, Linghui Li, Yongdong Zhang:
Boundary Perception Guidance: A Scribble-Supervised Semantic Segmentation Approach. IJCAI 2019: 3663-3669 - [c75]Sen Zhang, Changzheng Zhang, Lanjun Wang, Cixing Li, Dandan Tu, Rui Luo, Guojun Qi, Jiebo Luo:
MSAFusionNet: Multiple Subspace Attention Based Deep Multi-modal Fusion Network. MLMI@MICCAI 2019: 54-62 - [c74]Changzheng Zhang, Dong Liu, Lanjun Wang, Yaoxin Li, Xiaoshi Chen, Rui Luo, Shuanlong Che, Hehua Liang, Yinghua Li, Si Liu, Dandan Tu, Guojun Qi, Pifu Luo, Jiebo Luo:
DCCL: A Benchmark for Cervical Cytology Analysis. MLMI@MICCAI 2019: 63-72 - [c73]Liheng Zhang, Vivek K. Singh, Guo-Jun Qi, Terrence Chen:
Cascade Attention Machine for Occluded Landmark Detection in 2D X-Ray Angiography. WACV 2019: 91-100 - [c72]Li Ren, Guo-Jun Qi, Kien A. Hua:
Improving Diversity of Image Captioning Through Variational Autoencoders and Adversarial Learning. WACV 2019: 263-272 - [i35]Lu Jin, Jinhui Tang, Zechao Li, Guo-Jun Qi, Fu Xiao:
Deep Semantic Multimodal Hashing Network for Scalable Multimedia Retrieval. CoRR abs/1901.02662 (2019) - [i34]Liheng Zhang, Guo-Jun Qi, Liqiang Wang, Jiebo Luo:
AET vs. AED: Unsupervised Representation Learning by Auto-Encoding Transformations rather than Data. CoRR abs/1901.04596 (2019) - [i33]Xiaojuan Wang, Ting Zhang, Guo-Jun Qi, Jinhui Tang, Jingdong Wang:
Supervised Quantization for Similarity Search. CoRR abs/1902.00617 (2019) - [i32]Hao Hu, Liqiang Wang, Guo-Jun Qi:
Learning to Adaptively Scale Recurrent Neural Networks. CoRR abs/1902.05696 (2019) - [i31]Guo-Jun Qi, Liheng Zhang, Chang Wen Chen, Qi Tian:
AVT: Unsupervised Learning of Transformation Equivariant Representations by Autoencoding Variational Transformations. CoRR abs/1903.10863 (2019) - [i30]Guo-Jun Qi, Jiebo Luo:
Small Data Challenges in Big Data Era: A Survey of Recent Progress on Unsupervised and Semi-Supervised Methods. CoRR abs/1903.11260 (2019) - [i29]Naifan Zhuang, Guo-Jun Qi, The Duc Kieu, Kien A. Hua:
Differential Recurrent Neural Network and its Application for Human Activity Recognition. CoRR abs/1905.04293 (2019) - [i28]Guo-Jun Qi:
Learning Generalized Transformation Equivariant Representations via Autoencoding Transformations. CoRR abs/1906.08628 (2019) - [i27]Yuhui Xu, Lingxi Xie, Xiaopeng Zhang, Xin Chen, Guo-Jun Qi, Qi Tian, Hongkai Xiong:
PC-DARTS: Partial Channel Connections for Memory-Efficient Differentiable Architecture Search. CoRR abs/1907.05737 (2019) - [i26]Xiangbo Shu, Liyan Zhang, Guo-Jun Qi, Wei Liu, Jinhui Tang:
Spatiotemporal Co-attention Recurrent Neural Networks for Human-Skeleton Motion Prediction. CoRR abs/1909.13245 (2019) - [i25]Yiheng Liu, Wengang Zhou, Jianzhuang Liu, Guojun Qi, Qi Tian, Houqiang Li:
An End-to-End Foreground-Aware Network for Person Re-Identification. CoRR abs/1910.11547 (2019) - [i24]Qiaokang Xie, Wengang Zhou, Guo-Jun Qi, Qi Tian, Houqiang Li:
Progressive Unsupervised Person Re-identification by Tracklet Association with Spatio-Temporal Regularization. CoRR abs/1910.11560 (2019) - [i23]Feng Lin, Haohang Xu, Houqiang Li, Hongkai Xiong, Guo-Jun Qi:
AETv2: AutoEncoding Transformations for Self-Supervised Representation Learning by Minimizing Geodesic Distances in Lie Groups. CoRR abs/1911.07004 (2019) - [i22]Xiang Gao, Wei Hu, Guo-Jun Qi:
GraphTER: Unsupervised Learning of Graph Transformation Equivariant Representations via Auto-Encoding Node-wise Transformations. CoRR abs/1911.08142 (2019) - [i21]Xiao Wang, Daisuke Kihara, Jiebo Luo, Guo-Jun Qi:
EnAET: Self-Trained Ensemble AutoEncoding Transformations for Semi-Supervised Learning. CoRR abs/1911.09265 (2019) - [i20]Haohang Xu, Hongkai Xiong, Guojun Qi:
FLAT: Few-Shot Learning via Autoencoding Transformation Regularizers. CoRR abs/1912.12674 (2019) - 2018
- [j37]Liyan Zhang, Guo-Jun Qi, Dong Zhang, Jinhui Tang:
Latent Dirichlet Truth Discovery: Separating Trustworthy and Untrustworthy Components in Data Sources. IEEE Access 6: 1741-1752 (2018) - [j36]Alireza Zaeemzadeh, Mohsen Joneidi, Nazanin Rahnavard, Guo-Jun Qi:
Co-SpOT: Cooperative Spectrum Opportunity Detection Using Bayesian Clustering in Spectrum-Heterogeneous Cognitive Radio Networks. IEEE Trans. Cogn. Commun. Netw. 4(2): 206-219 (2018) - [j35]Xiangbo Shu, Jinhui Tang, Guo-Jun Qi, Zechao Li, Yu-Gang Jiang, Shuicheng Yan:
Image Classification With Tailored Fine-Grained Dictionaries. IEEE Trans. Circuits Syst. Video Technol. 28(2): 454-467 (2018) - [j34]Lu Jin, Kai Li, Hao Hu, Guo-Jun Qi, Jinhui Tang:
Semantic Neighbor Graph Hashing for Multimodal Retrieval. IEEE Trans. Image Process. 27(3): 1405-1417 (2018) - [j33]Kai Li, Guo-Jun Qi, Kien A. Hua:
Learning Label Preserving Binary Codes for Multimedia Retrieval: A General Approach. ACM Trans. Multim. Comput. Commun. Appl. 14(1): 2:1-2:23 (2018) - [c71]Guo-Jun Qi, Liheng Zhang, Hao Hu, Marzieh Edraki, Jingdong Wang, Xian-Sheng Hua:
Global Versus Localized Generative Adversarial Nets. CVPR 2018: 1517-1525 - [c70]Guotian Xie, Jingdong Wang, Ting Zhang, Jianhuang Lai, Richang Hong, Guo-Jun Qi:
Interleaved Structured Sparse Convolutional Neural Networks. CVPR 2018: 8847-8856 - [c69]Marzieh Edraki, Guo-Jun Qi:
Generalized Loss-Sensitive Adversarial Learning with Manifold Margins. ECCV (5) 2018: 90-104 - [c68]Yiru Zhao, Zhongming Jin, Guo-Jun Qi, Hongtao Lu, Xian-Sheng Hua:
An Adversarial Approach to Hard Triplet Generation. ECCV (9) 2018: 508-524 - [c67]Bin Wang, Guojun Qi, Sheng Tang, Liheng Zhang, Lixi Deng, Yongdong Zhang:
Automated Pulmonary Nodule Detection: High Sensitivity with Few Candidates. MICCAI (2) 2018: 759-767 - [c66]Guo-Jun Qi:
Multimedia Content Understanding by Learning from Very Few Examples: Recent Progress on Unsupervised, Semi-Supervised and Supervised Deep Learning Approaches. ICMR 2018: 9 - [c65]Zhihang Fu, Zhongming Jin, Guo-Jun Qi, Chen Shen, Rongxin Jiang, Yaowu Chen, Xian-Sheng Hua:
Previewer for Multi-Scale Object Detector. ACM Multimedia 2018: 265-273 - [c64]Liheng Zhang, Marzieh Edraki, Guo-Jun Qi:
CapProNet: Deep Feature Learning via Orthogonal Projections onto Capsule Subspaces. NeurIPS 2018: 5819-5828 - [c63]Yilin Wang, Suhang Wang, Guojun Qi, Jiliang Tang, Baoxin Li:
Weakly Supervised Facial Attribute Manipulation via Deep Adversarial Network. WACV 2018: 112-121 - [i19]Naifan Zhuang, The Duc Kieu, Guo-Jun Qi, Kien A. Hua:
Deep Differential Recurrent Neural Networks. CoRR abs/1804.04192 (2018) - [i18]Guotian Xie, Jingdong Wang, Ting Zhang, Jianhuang Lai, Richang Hong, Guo-Jun Qi:
IGCV2: Interleaved Structured Sparse Convolutional Neural Networks. CoRR abs/1804.06202 (2018) - [i17]Chen Shen, Guo-Jun Qi, Rongxin Jiang, Zhongming Jin, Hongwei Yong, Yaowu Chen, Xian-Sheng Hua:
Sharp Attention Network via Adaptive Sampling for Person Re-identification. CoRR abs/1805.02336 (2018) - [i16]Lu Jin, Xiangbo Shu, Kai Li, Zechao Li, Guo-Jun Qi, Jinhui Tang:
Deep Ordinal Hashing with Spatial Attention. CoRR abs/1805.02459 (2018) - [i15]Liheng Zhang, Marzieh Edraki, Guo-Jun Qi:
CapProNet: Deep Feature Learning via Orthogonal Projections onto Capsule Subspaces. CoRR abs/1805.07621 (2018) - [i14]Muhammad Abdullah Jamal, Guo-Jun Qi, Mubarak Shah:
Task-Agnostic Meta-Learning for Few-shot Learning. CoRR abs/1805.07722 (2018) - [i13]Kristjan Arumae, Guo-Jun Qi, Fei Liu:
A Study of Question Effectiveness Using Reddit "Ask Me Anything" Threads. CoRR abs/1805.10389 (2018) - [i12]Xiangbo Shu, Jinhui Tang, Guo-Jun Qi, Wei Liu, Jian Yang:
Hierarchical Long Short-Term Concurrent Memory for Human Interaction Recognition. CoRR abs/1811.00270 (2018) - [i11]Yunxiao Qin, Weiguo Zhang, Chenxu Zhao, Zezheng Wang, Hailin Shi, Guojun Qi, Jingping Shi, Zhen Lei:
Rethink and Redesign Meta learning. CoRR abs/1812.04955 (2018) - 2017
- [j32]Kai Li, Guo-Jun Qi, Jun Ye, Tuoerhongjiang Yusuph, Kien A. Hua:
Semantic Image Retrieval with Feature Space Rankings. Int. J. Semantic Comput. 11(2): 171-192 (2017) - [j31]Guo-Jun Qi, Wei Liu, Charu C. Aggarwal, Thomas S. Huang:
Joint Intermodal and Intramodal Label Transfers for Extremely Rare or Unseen Classes. IEEE Trans. Pattern Anal. Mach. Intell. 39(7): 1360-1373 (2017) - [j30]Jinhui Tang, Xiangbo Shu, Guo-Jun Qi, Zechao Li, Meng Wang, Shuicheng Yan, Ramesh C. Jain:
Tri-Clustered Tensor Completion for Social-Aware Image Tag Refinement. IEEE Trans. Pattern Anal. Mach. Intell. 39(8): 1662-1674 (2017) - [j29]Kai Li, Guo-Jun Qi, Jun Ye, Kien A. Hua:
Linear Subspace Ranking Hashing for Cross-Modal Retrieval. IEEE Trans. Pattern Anal. Mach. Intell. 39(9): 1825-1838 (2017) - [j28]Jingdong Wang, Guo-Jun Qi, Nicu Sebe, Charu C. Aggarwal:
Guest Editorial: Big Media Data: Understanding, Search, and Mining. IEEE Trans. Big Data 3(1): 36 (2017) - [j27]Jinhui Tang, Shiyu Chang, Guo-Jun Qi, Qi Tian, Yong Rui, Thomas S. Huang:
LEGO-MM: LEarning Structured Model by Probabilistic loGic Ontology Tree for MultiMedia. IEEE Trans. Image Process. 26(1): 196-207 (2017) - [j26]Jun Ye, Hao Hu, Guo-Jun Qi, Kien A. Hua:
A Temporal Order Modeling Approach to Human Action Recognition from Multimodal Sensor Data. ACM Trans. Multim. Comput. Commun. Appl. 13(2): 14:1-14:22 (2017) - [c62]Yilin Wang, Suhang Wang, Jiliang Tang, Guo-Jun Qi, Huan Liu, Baoxin Li:
CLARE: A Joint Approach to Label Classification and Tag Recommendation. AAAI 2017: 210-216 - [c61]Xiangbo Shu, Jinhui Tang, Guo-Jun Qi, Yan Song, Zechao Li, Liyan Zhang:
Concurrence-Aware Long Short-Term Sub-Memories for Person-Person Action Recognition. CVPR Workshops 2017: 2176-2183 - [c60]Hao Hu, Zhaowen Wang, Joon-Young Lee, Zhe Lin, Guo-Jun Qi:
Temporal Domain Neural Encoder for Video Representation Learning. CVPR Workshops 2017: 2192-2199 - [c59]Kristjan Arumae, Guo-Jun Qi, Fei Liu:
A Study of Question Effectiveness Using Reddit "Ask Me Anything" Threads. FLAIRS 2017: 26-31 - [c58]Ting Zhang, Guo-Jun Qi, Bin Xiao, Jingdong Wang:
Interleaved Group Convolutions. ICCV 2017: 4383-4392 - [c57]Junjun Jiang, Yi Yu, Suhua Tang, Jiayi Ma, Guo-Jun Qi, Akiko Aizawa:
Context-patch based face hallucination via thresholding locality-constrained representation and reproducing learning. ICME 2017: 469-474 - [c56]Hao Hu, Guo-Jun Qi:
State-Frequency Memory Recurrent Neural Networks. ICML 2017: 1568-1577 - [c55]Guo-Jun Qi, Jiliang Tang, Jingdong Wang, Jiebo Luo:
Mixture Factorized Ornstein-Uhlenbeck Processes for Time-Series Forecasting. KDD 2017: 987-995 - [c54]Liheng Zhang, Charu C. Aggarwal, Guo-Jun Qi:
Stock Price Prediction via Discovering Multi-Frequency Trading Patterns. KDD 2017: 2141-2149 - [i10]Guo-Jun Qi:
Loss-Sensitive Generative Adversarial Networks on Lipschitz Densities. CoRR abs/1701.06264 (2017) - [i9]Guo-Jun Qi, Wei Liu, Charu C. Aggarwal, Thomas S. Huang:
Joint Intermodal and Intramodal Label Transfers for Extremely Rare or Unseen Classes. CoRR abs/1703.07519 (2017) - [i8]Xiangbo Shu, Jinhui Tang, Guo-Jun Qi, Yan Song, Zechao Li, Liyan Zhang:
Concurrence-Aware Long Short-Term Sub-Memories for Person-Person Action Recognition. CoRR abs/1706.00931 (2017) - [i7]Ting Zhang, Guo-Jun Qi, Bin Xiao, Jingdong Wang:
Interleaved Group Convolutions for Deep Neural Networks. CoRR abs/1707.02725 (2017) - [i6]Guo-Jun Qi, Liheng Zhang, Hao Hu:
Global versus Localized Generative Adversarial Nets. CoRR abs/1711.06020 (2017) - 2016
- [j25]Shiyu Chang, Guo-Jun Qi, Yingzhen Yang, Charu C. Aggarwal, Jiayu Zhou, Meng Wang, Thomas S. Huang:
Large-scale supervised similarity learning in networks. Knowl. Inf. Syst. 48(3): 707-740 (2016) - [j24]Jingdong Wang, Guo-Jun Qi, Nicu Sebe, Charu C. Aggarwal:
Guest Editorial: Big Media Data: Understanding, Search, and Mining. IEEE Trans. Big Data 2(1): 31 (2016) - [j23]Jinhui Tang, Xiangbo Shu, Zechao Li, Guo-Jun Qi, Jingdong Wang:
Generalized Deep Transfer Networks for Knowledge Propagation in Heterogeneous Domains. ACM Trans. Multim. Comput. Commun. Appl. 12(4s): 68:1-68:22 (2016) - [c53]Xiaojuan Wang, Ting Zhang, Guo-Jun Qi, Jinhui Tang, Jingdong Wang:
Supervised Quantization for Similarity Search. CVPR 2016: 2018-2026 - [c52]Guo-Jun Qi:
Hierarchically Gated Deep Networks for Semantic Segmentation. CVPR 2016: 2267-2275 - [c51]Kai Li, Guojun Qi, Jun Ye, Kien A. Hua:
Cross-modal hashing through ranking subspace learning. ICME 2016: 1-6 - [c50]Kai Li, Guo-Jun Qi, Jun Ye, Tuoerhongjiang Yusuph, Kien A. Hua:
Supervised Ranking Hash for Semantic Similarity Search. ISM 2016: 551-558 - [c49]Hao Hu, Joey Velez-Ginorio, Guo-Jun Qi:
Temporal Order-based First-Take-All Hashing for Fast Attention-Deficit-Hyperactive-Disorder Detection. KDD 2016: 905-914 - [e2]Qi Tian, Nicu Sebe, Guo-Jun Qi, Benoit Huet, Richang Hong, Xueliang Liu:
MultiMedia Modeling - 22nd International Conference, MMM 2016, Miami, FL, USA, January 4-6, 2016, Proceedings, Part I. Lecture Notes in Computer Science 9516, Springer 2016, ISBN 978-3-319-27670-0 [contents] - [e1]Qi Tian, Nicu Sebe, Guo-Jun Qi, Benoit Huet, Richang Hong, Xueliang Liu:
MultiMedia Modeling - 22nd International Conference, MMM 2016, Miami, FL, USA, January 4-6, 2016, Proceedings, Part II. Lecture Notes in Computer Science 9517, Springer 2016, ISBN 978-3-319-27673-1 [contents] - 2015
- [j22]Ning Xu, Jiangping Wang, Guojun Qi, Thomas S. Huang, Weiyao Lin:
Ontological Random Forests for Image Classification. Int. J. Inf. Retr. Res. 5(3): 61-74 (2015) - [j21]Jingdong Wang, Guo-Jun Qi, Nicu Sebe, Charu C. Aggarwal:
Guest Editorial: Big Media Data: Understanding, Search, and Mining. IEEE Trans. Big Data 1(3): 82-83 (2015) - [j20]Jingdong Wang, Guo-Jun Qi, Nicu Sebe, Charu C. Aggarwal:
Guest Editorial: Big Media Data: Understanding, Search, and Mining (Part 2). IEEE Trans. Big Data 1(4): 151 (2015) - [j19]Guo-Jun Qi, Charu C. Aggarwal, Thomas S. Huang:
Breaking the Barrier to Transferring Link Information across Networks. IEEE Trans. Knowl. Data Eng. 27(7): 1741-1753 (2015) - [j18]Guo-Jun Qi, Hugo Larochelle, Benoit Huet, Jiebo Luo, Kai Yu:
Guest Editorial: Deep Learning for Multimedia Computing. IEEE Trans. Multim. 17(11): 1873-1874 (2015) - [c48]Ting Zhang, Guo-Jun Qi, Jinhui Tang, Jingdong Wang:
Sparse composite quantization. CVPR 2015: 4548-4556 - [c47]Vivek Veeriah, Naifan Zhuang, Guo-Jun Qi:
Differential Recurrent Neural Networks for Action Recognition. ICCV 2015: 4041-4049 - [c46]Shiyu Chang, Wei Han, Jiliang Tang, Guo-Jun Qi, Charu C. Aggarwal, Thomas S. Huang:
Heterogeneous Network Embedding via Deep Architectures. KDD 2015: 119-128 - [c45]Guo-Jun Qi, Charu C. Aggarwal, Deepak S. Turaga, Daby M. Sow, Phil Anno:
State-Driven Dynamic Sensor Selection and Prediction with State-Stacked Sparseness. KDD 2015: 945-954 - [c44]Vivek Veeriah, Rohit Durvasula, Guo-Jun Qi:
Deep Learning Architecture with Dynamically Programmed Layers for Brain Connectome Prediction. KDD 2015: 1205-1214 - [c43]Jun Ye, Kai Li, Guo-Jun Qi, Kien A. Hua:
Temporal Order-Preserving Dynamic Quantization for Human Action Recognition from Multimodal Sensor Streams. ICMR 2015: 99-106 - [c42]Xiangbo Shu, Guo-Jun Qi, Jinhui Tang, Jingdong Wang:
Weakly-Shared Deep Transfer Networks for Heterogeneous-Domain Knowledge Propagation. ACM Multimedia 2015: 35-44 - [i5]Zhangyang Wang, Xianming Liu, Shiyu Chang, Jiayu Zhou, Guo-Jun Qi, Thomas S. Huang:
Decentralized Recommender Systems. CoRR abs/1503.01647 (2015) - [i4]Kai Li, Guojun Qi, Jun Ye, Kien A. Hua:
Rank Subspace Learning for Compact Hash Codes. CoRR abs/1503.05951 (2015) - [i3]Vivek Veeriah, Naifan Zhuang, Guo-Jun Qi:
Differential Recurrent Neural Networks for Action Recognition. CoRR abs/1504.06678 (2015) - [i2]Jun Ye, Hao Hu, Kai Li, Guo-Jun Qi, Kien A. Hua:
First-Take-All: Temporal Order-Preserving Hashing for 3D Action Videos. CoRR abs/1506.02184 (2015) - 2014
- [j17]Jinhui Tang, Dacheng Tao, Guo-Jun Qi, Benoit Huet:
Social media mining and knowledge discovery. Multim. Syst. 20(6): 633-634 (2014) - [j16]Fuming Sun, Jinhui Tang, Haojie Li, Guo-Jun Qi, Thomas S. Huang:
Multi-Label Image Categorization With Sparse Factor Representation. IEEE Trans. Image Process. 23(3): 1028-1037 (2014) - [c41]Shiyu Chang, Guo-Jun Qi, Charu C. Aggarwal, Jiayu Zhou, Meng Wang, Thomas S. Huang:
Factorized Similarity Learning in Networks. ICDM 2014: 60-69 - 2013
- [b1]Guo-Jun Qi:
Information trust, inference and transfer in social and information networks. University of Illinois Urbana-Champaign, USA, 2013 - [j15]Jinhui Tang, Guo-Jun Qi, Liyan Zhang, Changsheng Xu:
Cross-Space Affinity Learning with Its Application to Movie Recommendation. IEEE Trans. Knowl. Data Eng. 25(7): 1510-1519 (2013) - [c40]Guo-Jun Qi, Charu C. Aggarwal, Thomas S. Huang:
Link prediction across networks by biased cross-network sampling. ICDE 2013: 793-804 - [c39]Shiyu Chang, Guo-Jun Qi, Jinhui Tang, Qi Tian, Yong Rui, Thomas S. Huang:
Multimedia LEGO: Learning Structured Model by Probabilistic Logic Ontology Tree. ICDM 2013: 979-984 - [c38]Guo-Jun Qi, Charu C. Aggarwal, Thomas S. Huang:
Online community detection in social sensing. WSDM 2013: 617-626 - [c37]Guo-Jun Qi, Charu C. Aggarwal, Jiawei Han, Thomas S. Huang:
Mining collective intelligence in diverse groups. WWW 2013: 1041-1052 - [p3]Shen-Fu Tsai, Guo-Jun Qi, Shiyu Chang, Min-Hsuan Tsai, Thomas S. Huang:
Clustering Multimedia Data. Data Clustering: Algorithms and Applications 2013: 339-356 - 2012
- [j14]Jingdong Wang, Zhe Zhao, Jiazhen Zhou, Hao Wang, Bin Cui, Guojun Qi:
Recommending Flickr groups with social topic model. Inf. Retr. 15(3-4): 278-295 (2012) - [j13]Guo-Jun Qi, Charu C. Aggarwal, Qi Tian, Heng Ji, Thomas S. Huang:
Exploring Context and Content Links in Social Media: A Latent Space Method. IEEE Trans. Pattern Anal. Mach. Intell. 34(5): 850-862 (2012) - [j12]Guo-Jun Qi, Min-Hsuan Tsai, Shen-Fu Tsai, Liangliang Cao, Thomas S. Huang:
Web-Scale Multimedia Information Networks. Proc. IEEE 100(9): 2688-2704 (2012) - [c36]Guo-Jun Qi, Charu C. Aggarwal, Thomas S. Huang:
Community Detection with Edge Content in Social Media Networks. ICDE 2012: 534-545 - [c35]Guo-Jun Qi, Charu C. Aggarwal, Thomas S. Huang:
Transfer Learning of Distance Metrics by Cross-Domain Metric Sampling across Heterogeneous Spaces. SDM 2012: 528-539 - [c34]Guo-Jun Qi, Charu C. Aggarwal, Thomas S. Huang:
On clustering heterogeneous social media objects with outlier links. WSDM 2012: 553-562 - [i1]Guo-Jun Qi, Charu C. Aggarwal, Pierre Moulin, Thomas S. Huang:
Learning from Collective Intelligence in Groups. CoRR abs/1210.0954 (2012) - 2011
- [j11]Jinhui Tang, Richang Hong, Shuicheng Yan, Tat-Seng Chua, Guo-Jun Qi, Ramesh C. Jain:
Image annotation by kNN-sparse graph-based label propagation over noisily tagged web images. ACM Trans. Intell. Syst. Technol. 2(2): 14:1-14:15 (2011) - [c33]Guojun Qi, Qi Tian, Thomas S. Huang:
Locality-sensitive support vector machine by exploring local correlation and global regularization. CVPR 2011: 841-848 - [c32]Guo-Jun Qi, Charu C. Aggarwal, Yong Rui, Qi Tian, Shiyu Chang, Thomas S. Huang:
Towards cross-category knowledge propagation for learning visual concepts. CVPR 2011: 897-904 - [c31]Hongyan Wang, Md. Yusuf Sarwar Uddin, Guo-Jun Qi, Tom Huang, Tarek F. Abdelzaher, Guohong Cao:
PhotoNet: A similarity-aware image delivery service for situation awareness. IPSN 2011: 135-136 - [c30]Md. Yusuf Sarwar Uddin, Hongyan Wang, Fatemeh Saremi, Guo-Jun Qi, Tarek F. Abdelzaher, Thomas S. Huang:
PhotoNet: A Similarity-Aware Picture Delivery Service for Situation Awareness. RTSS 2011: 317-326 - [c29]Guojun Qi, Charu C. Aggarwal, Thomas S. Huang:
Towards semantic knowledge propagation from text corpus to web images. WWW 2011: 297-306 - [p2]Liangliang Cao, Guo-Jun Qi, Shen-Fu Tsai, Min-Hsuan Tsai, Andrey Del Pozo, Thomas S. Huang, Xuemei Zhang, Suk Hwan Lim:
Multimedia Information Networks in Social Media. Social Network Data Analytics 2011: 413-445 - 2010
- [j10]Jinhui Tang, Haojie Li, Guo-Jun Qi, Tat-Seng Chua:
Image Annotation by Graph-Based Inference With Integrated Multiple/Single Instance Representations. IEEE Trans. Multim. 12(2): 131-141 (2010) - [j9]Guo-Jun Qi, Xian-Sheng Hua, Yong Rui, Jinhui Tang, Hong-Jiang Zhang:
Image Classification With Kernelized Spatial-Context. IEEE Trans. Multim. 12(4): 278-287 (2010) - [c28]Adam Lee, Marissa Passantino, Heng Ji, Guojun Qi, Thomas S. Huang:
Enhancing Multi-lingual Information Extraction via Cross-Media Inference and Fusion. COLING (Posters) 2010: 630-638
2000 – 2009
- 2009
- [j8]Meng Wang, Xian-Sheng Hua, Tao Mei, Richang Hong, Guo-Jun Qi, Yan Song, Li-Rong Dai:
Semi-supervised kernel density estimation for video annotation. Comput. Vis. Image Underst. 113(3): 384-396 (2009) - [j7]Guo-Jun Qi, Xian-Sheng Hua, Yong Rui, Jinhui Tang, Hong-Jiang Zhang:
Two-Dimensional Multilabel Active Learning with an Efficient Online Adaptation Model for Image Classification. IEEE Trans. Pattern Anal. Mach. Intell. 31(10): 1880-1897 (2009) - [j6]Jinhui Tang, Guo-Jun Qi, Meng Wang, Xian-Sheng Hua:
Video semantic analysis based on structure-sensitive anisotropic manifold ranking. Signal Process. 89(12): 2313-2323 (2009) - [j5]Meng Wang, Xian-Sheng Hua, Richang Hong, Jinhui Tang, Guo-Jun Qi, Yan Song:
Unified Video Annotation via Multigraph Learning. IEEE Trans. Circuits Syst. Video Technol. 19(5): 733-746 (2009) - [j4]Jinhui Tang, Xian-Sheng Hua, Meng Wang, Zhiwei Gu, Guo-Jun Qi, Xiuqing Wu:
Correlative Linear Neighborhood Propagation for Video Annotation. IEEE Trans. Syst. Man Cybern. Part B 39(2): 409-416 (2009) - [c27]Guo-Jun Qi, Jinhui Tang, Zheng-Jun Zha, Tat-Seng Chua, Hong-Jiang Zhang:
An efficient sparse metric learning in high-dimensional space via l1-penalized log-determinant regularization. ICML 2009: 841-848 - [c26]Jinhui Tang, Shuicheng Yan, Richang Hong, Guo-Jun Qi, Tat-Seng Chua:
Inferring semantic concepts from community-contributed images and noisy tags. ACM Multimedia 2009: 223-232 - [c25]Guo-Jun Qi, Xian-Sheng Hua, Hong-Jiang Zhang:
Learning semantic distance from community-tagged media collection. ACM Multimedia 2009: 243-252 - [p1]Meng Wang, Xian-Sheng Hua, Jinhui Tang, Guo-Jun Qi:
Active Video Annotation. Semantic Mining Technologies for Multimedia Databases 2009: 298-322 - 2008
- [j3]Jinhui Tang, Xian-Sheng Hua, Guo-Jun Qi, Yan Song, Xiuqing Wu:
Video Annotation Based on Kernel Linear Neighborhood Propagation. IEEE Trans. Multim. 10(4): 620-628 (2008) - [j2]Guo-Jun Qi, Xian-Sheng Hua, Yong Rui, Jinhui Tang, Tao Mei, Meng Wang, Hong-Jiang Zhang:
Correlative multilabel video annotation with temporal kernels. ACM Trans. Multim. Comput. Commun. Appl. 5(1): 3:1-3:27 (2008) - [c24]Guo-Jun Qi, Xian-Sheng Hua, Yong Rui, Jinhui Tang, Hong-Jiang Zhang:
Two-Dimensional Active Learning for image classification. CVPR 2008 - [c23]Guo-Jun Qi, Xian-Sheng Hua, Yong Rui, Jinhui Tang, Zheng-Jun Zha, Hong-Jiang Zhang:
A joint appearance-spatial distance for kernel-based image categorization. CVPR 2008 - [c22]Zheng-Jun Zha, Xian-Sheng Hua, Tao Mei, Jingdong Wang, Guo-Jun Qi, Zengfu Wang:
Joint multi-label multi-instance learning for image classification. CVPR 2008 - [c21]Yuan Liu, Tao Mei, Guo-Jun Qi, Xiuqing Wu, Xian-Sheng Hua:
Query-independent learning for video search. ICME 2008: 1249-1252 - [c20]Xian-Sheng Hua, Guo-Jun Qi:
Online multi-label active annotation: towards large-scale content-based video search. ACM Multimedia 2008: 141-150 - [c19]Jinhui Tang, Haojie Li, Guo-Jun Qi, Tat-Seng Chua:
Integrated graph-based semi-supervised multiple/single instance learning framework for image annotation. ACM Multimedia 2008: 631-634 - [c18]Tao Mei, Zheng-Jun Zha, Yuan Liu, Meng Wang, Guo-Jun Qi, Xinmei Tian, Jingdong Wang, Linjun Yang, Xian-Sheng Hua:
MSRA atT TRECVID 2008: High-Level Feature Extraction and Automatic Search. TRECVID 2008 - 2007
- [j1]Meng Wang, Xian-Sheng Hua, Tao Mei, Jinhui Tang, Guo-Jun Qi, Yan Song, Li-Rong Dai:
Interactive Video Annotation by Multi-Concept Multi-Modality Active Learning. Int. J. Semantic Comput. 1(4): 459-477 (2007) - [c17]Guo-Jun Qi, Xian-Sheng Hua, Yong Rui, Tao Mei, Jinhui Tang, Hong-Jiang Zhang:
Concurrent Multiple Instance Learning for Image Categorization. CVPR 2007 - [c16]Jinhui Tang, Xian-Sheng Hua, Tao Mei, Guo-Jun Qi, Shipeng Li, Xiuqing Wu:
Temporally Consistent Gaussian Random Field for Video Semantic Analysis. ICIP (4) 2007: 525-528 - [c15]Jinhui Tang, Xian-Sheng Hua, Guo-Jun Qi, Tao Mei, Xiuqing Wu:
Anisotropic Manifold Ranking for Video Annotation. ICME 2007: 492-495 - [c14]Guo-Jun Qi, Xian-Sheng Hua, Yan Song, Jinhui Tang, Hong-Jiang Zhang:
Transductive Inference with Hierarchical Clustering for Video Annotation. ICME 2007: 643-646 - [c13]Jinhui Tang, Xian-Sheng Hua, Guo-Jun Qi, Zhiwei Gu, Xiuqing Wu:
Beyond Accuracy: Typicality Ranking for Video Annotation. ICME 2007: 647-650 - [c12]Xun Yuan, Xian-Sheng Hua, Meng Wang, Guo-Jun Qi, Xiuqing Wu:
A Novel Multiple Instance Learning Approach for Image Retrieval Based on Adaboost Feature Selection. ICME 2007: 1491-1494 - [c11]Yong Rui, Guo-Jun Qi:
Learning Concepts by Modeling Relationships. MCAM 2007: 5-13 - [c10]Guo-Jun Qi, Xian-Sheng Hua, Yong Rui, Jinhui Tang, Tao Mei, Hong-Jiang Zhang:
Correlative multi-label video annotation. ACM Multimedia 2007: 17-26 - [c9]Jinhui Tang, Xian-Sheng Hua, Guo-Jun Qi, Xiuqing Wu:
Typicality ranking via semi-supervised multiple-instance learning. ACM Multimedia 2007: 297-300 - [c8]Zheng-Jun Zha, Tao Mei, Xian-Sheng Hua, Guo-Jun Qi, Zengfu Wang:
Refining video annotation by exploiting pairwise concurrent relation. ACM Multimedia 2007: 345-348 - [c7]Jinhui Tang, Xian-Sheng Hua, Guo-Jun Qi, Meng Wang, Tao Mei, Xiuqing Wu:
Structure-sensitive manifold ranking for video concept detection. ACM Multimedia 2007: 852-861 - [c6]Jinhui Tang, Xian-Sheng Hua, Yan Song, Guo-Jun Qi, Xiuqing Wu:
Kernel-Based Linear Neighborhood Propagation for Semantic Video Annotation. PAKDD 2007: 793-800 - [c5]Tao Mei, Xian-Sheng Hua, Wei Lai, Linjun Yang, Zheng-Jun Zha, Yuan Liu, Zhiwei Gu, Guo-Jun Qi, Meng Wang, Jinhui Tang, Xun Yuan, Zheng Lu, Jingjing Liu:
MSRA-USTC-SJTU at TRECVID 2007: High-Level Feature Extraction and Search. TRECVID 2007 - 2006
- [c4]Guo-Jun Qi, Yan Song, Xian-Sheng Hua, Hong-Jiang Zhang, Li-Rong Dai:
Video Annotation by Active Learning and Cluster Tuning. CVPR Workshops 2006: 114 - [c3]Yan Song, Guo-Jun Qi, Xian-Sheng Hua, Li-Rong Dai, Ren-Hua Wang:
Video Annotation by Active Learning and Semi-Supervised Ensembling. ICME 2006: 933-936 - [c2]Yan Song, Xian-Sheng Hua, Guo-Jun Qi, Li-Rong Dai, Meng Wang, HongJiang Zhang:
Efficient semantic annotation method for indexing large personal video database. Multimedia Information Retrieval 2006: 289-296 - [c1]Xian-Sheng Hua, Tao Mei, Wei Lai, Meng Wang, Jinhui Tang, Guo-Jun Qi, Lvsong Li, Zhiwei Gu:
Microsoft Research Asia TRECVID 2006 High-Level Feature Extraction and Rushes Exploitation. TRECVID 2006
Coauthor Index
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