Group action recognition in soccer videos. - Yu Kong 001; Xiaoqin Zhang 002; Qingdi Wei; Weiming Hu; Yunde Jia (ICPR, 2008)

Learning Group Activity in Soccer Videos from Local Motion. - Yu Kong 001; Weiming Hu; Xiaoqin Zhang 002; Hanzi Wang; Yunde Jia (ACCV (1), 2009)

Group Action Recognition Using Space-Time Interest Points. - Qingdi Wei; Xiaoqin Zhang 002; Yu Kong 001; Weiming Hu; Haibin Ling (ISVC (2), 2009)

A swarm intelligence based searching strategy for articulated 3D human body tracking. - Xiaoqin Zhang 002; Weiming Hu; Xiangyang Wang; Yu Kong 001; Nianhua Xie; Hanzi Wang; Haibin Ling; Stephen J. Maybank (CVPR Workshops, 2010)

Compact visual codebook for action recognition. - Qingdi Wei; Xiaoqin Zhang 002; Yu Kong 001; Weiming Hu; Haibin Ling (ICIP, 2010)

Recognizing human interaction by multiple features. - Zhen Dong 002; Yu Kong 001; Cuiwei Liu; Hongdong Li; Yunde Jia (ACPR, 2011)

Adaptive learning codebook for action recognition. - Yu Kong 001; Xiaoqin Zhang 002; Weiming Hu; Yunde Jia (Pattern Recognit. Lett., 2011)

Contour-HOG: A Stub Feature based Level Set Method for Learning Object Contour. - Zhi Yang; Yu Kong 001; Yun Fu 001 (BMVC, 2012)

Learning Human Interaction by Interactive Phrases. - Yu Kong 001; Yunde Jia; Yun Fu 001 (ECCV (1), 2012)

A Hierarchical Model for Human Interaction Recognition. - Yu Kong 001; Yunde Jia (ICME, 2012)

Action recognition with discriminative mid-level features. - Cuiwei Liu; Yu Kong 001; Xinxiao Wu; Yunde Jia (ICPR, 2012)

Decomposed contour prior for shape recognition. - Zhi Yang; Yu Kong 001; Yun Fu 001 (ICPR, 2012)

Activity recognition by learning structural and pairwise mid-level features using random forest. - Jie Hu 008; Yu Kong 001; Yun Fu 001 (FG, 2013)

Modeling Supporting Regions for Close Human Interaction Recognition. - Yu Kong 001; Yun Fu 001 (ECCV Workshops (2), 2014)

A Discriminative Model with Multiple Temporal Scales for Action Prediction. - Yu Kong 001; Dmitry Kit; Yun Fu 001 (ECCV (5), 2014)

LASOM: Location Aware Self-Organizing Map for discovering similar and unique visual features of geographical locations. - Dmitry Kit; Yu Kong 001; Yun Fu 001 (IJCNN, 2014)

Latent Tensor Transfer Learning for RGB-D Action Recognition. - Chengcheng Jia; Yu Kong 001; Zhengming Ding; Yun Raymond Fu (ACM Multimedia, 2014)

Learning a discriminative mid-level feature for action recognition. - Cuiwei Liu; Mingtao Pei; Xinxiao Wu; Yu Kong 001; Yunde Jia (Sci. China Inf. Sci., 2014)

Recognising human interaction from videos by a discriminative model. - Yu Kong 001; Wei Liang 008; Zhen Dong 002; Yunde Jia (IET Comput. Vis., 2014)

Interactive Phrases: Semantic Descriptionsfor Human Interaction Recognition. - Yu Kong 001; Yunde Jia; Yun Fu 001 (IEEE Trans. Pattern Anal. Mach. Intell., 2014)

Bilinear heterogeneous information machine for RGB-D action recognition. - Yu Kong 001; Yun Fu 001 (CVPR, 2015)

Hierarchical 3D kernel descriptors for action recognition using depth sequences. - Yu Kong 001; Behnam Satarboroujeni; Yun Fu 001 (FG, 2015)

Deep Convolutional Neural Network with Independent Softmax for Large Scale Face Recognition. - Yue Wu 008; Jun Li 027; Yu Kong 001; Yun Fu 001 (ACM Multimedia, 2016)

Learning hierarchical 3D kernel descriptors for RGB-D action recognition. - Yu Kong 001; Behnam Satarboroujeni; Yun Fu 001 (Comput. Vis. Image Underst., 2016)

Max-Margin Action Prediction Machine. - Yu Kong 001; Yun Fu 001 (IEEE Trans. Pattern Anal. Mach. Intell., 2016)

Efficient Image Geotagging Using Large Databases. - Dmitry Kit; Yu Kong 001; Yun Fu 001 (IEEE Trans. Big Data, 2016)

Close Human Interaction Recognition Using Patch-Aware Models. - Yu Kong 001; Yun Fu 001 (IEEE Trans. Image Process., 2016)

Discriminative Relational Representation Learning for RGB-D Action Recognition. - Yu Kong 001; Yun Fu 001 (IEEE Trans. Image Process., 2016)

Learning Fast Low-Rank Projection for Image Classification. - Jun Li 027; Yu Kong 001; Handong Zhao; Jian Yang 003; Yun Fu 001 (IEEE Trans. Image Process., 2016)

Sparse Subspace Clustering by Learning Approximation ℓ0 Codes. - Jun Li 027; Yu Kong 001; Yun Fu 001 (AAAI, 2017)

Deep Sequential Context Networks for Action Prediction. - Yu Kong 001; Zhiqiang Tao; Yun Fu 001 (CVPR, 2017)

Multi-Stream Deep Similarity Learning Networks for Visual Tracking. - Kunpeng Li; Yu Kong 001; Yun Fu 001 (IJCAI, 2017)

Deep Active Learning Through Cognitive Information Parcels. - Wencang Zhao; Yu Kong 001; Zhengming Ding; Yun Fu 001 (ACM Multimedia, 2017)

Max-Margin Heterogeneous Information Machine for RGB-D Action Recognition. - Yu Kong 001; Yun Fu 001 (Int. J. Comput. Vis., 2017)

Deeply Learned View-Invariant Features for Cross-View Action Recognition. - Yu Kong 001; Zhengming Ding; Jun Li 027; Yun Fu 001 (IEEE Trans. Image Process., 2017)

Action Prediction From Videos via Memorizing Hard-to-Predict Samples. - Yu Kong 001; Shangqian Gao; Bin Sun 002; Yun Fu 001 (AAAI, 2018)

Residual Dense Network for Image Super-Resolution. - Yulun Zhang 001; Yapeng Tian; Yu Kong 001; Bineng Zhong; Yun Fu 001 (CVPR, 2018)

Clustered Lifelong Learning Via Representative Task Selection. - Gan Sun; Yang Cong; Yu Kong 001; Xiaowei Xu 001 (ICDM, 2018)

Hierarchical and Spatio-Temporal Sparse Representation for Human Action Recognition. - Yi Tian; Yu Kong 001; Qiuqi Ruan; Gaoyun An; Yun Fu 001 (IEEE Trans. Image Process., 2018)

Probabilistic Low-Rank Multitask Learning. - Yu Kong 001; Ming Shao; Kang Li; Yun Fu 001 (IEEE Trans. Neural Networks Learn. Syst., 2018)

Deep Geo-Constrained Auto-Encoder for Non-Landmark GPS Estimation. - Shuhui Jiang; Yu Kong 001; Yun Fu 001 (IEEE Trans. Big Data, 2019)

RIT-18: A Novel Dataset for Compositional Group Activity Understanding. - Junwen Chen; Haiting Hao; Hanbin Hong; Yu Kong 001 (CVPR Workshops, 2020)

Group Activity Prediction with Sequential Relational Anticipation Model. - Junwen Chen; Wentao Bao; Yu Kong 001 (ECCV (21), 2020)

Publishing Video Data with Indistinguishable Objects. - Han Wang 021; Yuan Hong 001; Yu Kong 001; Jaideep Vaidya (EDBT, 2020)

Privacy Attributes-aware Message Passing Neural Network for Visual Privacy Attributes Classification. - Hanbin Hong; Wentao Bao; Yuan Hong 001; Yu Kong 001 (ICPR, 2020)

Few-shot Human Motion Prediction via Learning Novel Motion Dynamics. - Chuanqi Zang; Mingtao Pei; Yu Kong 001 (IJCAI, 2020)

Object-Aware Centroid Voting for Monocular 3D Object Detection. - Wentao Bao; Qi Yu 001; Yu Kong 001 (IROS, 2020)

Uncertainty-based Traffic Accident Anticipation with Spatio-Temporal Relational Learning. - Wentao Bao; Qi Yu 001; Yu Kong 001 (ACM Multimedia, 2020)

Activity-driven Weakly-Supervised Spatio-Temporal Grounding from Untrimmed Videos. - Junwen Chen; Wentao Bao; Yu Kong 001 (ACM Multimedia, 2020)

Adversarial Action Prediction Networks. - Yu Kong 001; Zhiqiang Tao; Yun Fu 001 (IEEE Trans. Pattern Anal. Mach. Intell., 2020)

Semi-Supervised Cross-Modality Action Recognition by Latent Tensor Transfer Learning. - Chengcheng Jia; Zhengming Ding; Yu Kong 001; Yun Fu 001 (IEEE Trans. Circuits Syst. Video Technol., 2020)

Aligned Dynamic-Preserving Embedding for Zero-Shot Action Recognition. - Yi Tian; Yu Kong 001; Qiuqi Ruan; Gaoyun An; Yun Fu 001 (IEEE Trans. Circuits Syst. Video Technol., 2020)

Visual Object Tracking Via Multi-Stream Deep Similarity Learning Networks. - Kunpeng Li; Yu Kong 001; Yun Fu 001 (IEEE Trans. Image Process., 2020)

Gradient Frequency Modulation for Visually Explaining Video Understanding Models. - Xinmiao Lin; Wentao Bao; Matthew K. Wright; Yu Kong 001 (BMVC, 2021)

DRIVE: Deep Reinforced Accident Anticipation with Visual Explanation. - Wentao Bao; Qi Yu 001; Yu Kong 001 (ICCV, 2021)

Evidential Deep Learning for Open Set Action Recognition. - Wentao Bao; Qi Yu 001; Yu Kong 001 (ICCV, 2021)

Explainable Video Entailment with Grounded Visual Evidence. - Junwen Chen; Yu Kong Golisano (ICCV, 2021)

Multiple Instance Relational Learning for Video Anomaly Detection. - Xiwen Dengxiong; Wentao Bao; Yu Kong 001 (IJCNN, 2021)

Adversarial Memory Networks for Action Prediction. - Zhiqiang Tao; Yue Bai; Handong Zhao; Sheng Li 001; Yu Kong 001; Yun Fu 001 (CoRR, 2021)

Revealing a history: palimpsest text separation with generative networks. - Anna Starynska; David W. Messinger; Yu Kong 001 (Int. J. Document Anal. Recognit., 2021)

Coupling Adversarial Graph Embedding for transductive zero-shot action recognition. - Yi Tian; Yaping Huang; Wanru Xu; Yu Kong 001 (Neurocomputing, 2021)

Residual Dense Network for Image Restoration. - Yulun Zhang 001; Yapeng Tian; Yu Kong 001; Bineng Zhong; Yun Fu 001 (IEEE Trans. Pattern Anal. Mach. Intell., 2021)

Accurate and Fast Image Denoising via Attention Guided Scaling. - Yulun Zhang 001; Kunpeng Li; Kai Li 012; Gan Sun; Yu Kong 001; Yun Fu 001 (IEEE Trans. Image Process., 2021)

A Dynamic Meta-Learning Model for Time-Sensitive Cold-Start Recommendations. - Krishna Prasad Neupane; Ervine Zheng; Yu Kong 001; Qi Yu 001 (AAAI, 2022)

OpenTAL: Towards Open Set Temporal Action Localization. - Wentao Bao; Qi Yu 001; Yu Kong 001 (CVPR, 2022)

GateHUB: Gated History Unit with Background Suppression for Online Action Detection. - Junwen Chen; Gaurav Mittal; Ye Yu 003; Yu Kong 001; Mei Chen (CVPR, 2022)

Learning of Global Objective for Network Flow in Multi-Object Tracking. - Shuai Li; Yu Kong 001; Hamid Rezatofighi (CVPR, 2022)

Universal 3-Dimensional Perturbations for Black-Box Attacks on Video Recognition Systems. - Shangyu Xie; Han Wang 021; Yu Kong 001; Yuan Hong 001 (SP, 2022)

An Eye for an Eye: Defending against Gradient-based Attacks with Gradients. - Hanbin Hong; Yuan Hong 001; Yu Kong 001 (CoRR, 2022)

Human Action Recognition and Prediction: A Survey. - Yu Kong 001; Yun Fu 001 (Int. J. Comput. Vis., 2022)

Catch Missing Details: Image Reconstruction with Frequency Augmented Variational Autoencoder. - Xinmiao Lin; Yikang Li 001; Jenhao Hsiao; Chiuman Ho; Yu Kong 001 (CVPR, 2023)

Uncertainty-aware State Space Transformer for Egocentric 3D Hand Trajectory Forecasting. - Wentao Bao; Lele Chen; Libing Zeng; Zhong Li; Yi Xu 002; Junsong Yuan 001; Yu Kong 001 (ICCV, 2023)

ATM: Action Temporality Modeling for Video Question Answering. - Junwen Chen; Jie Zhu; Yu Kong 001 (ACM Multimedia, 2023)

Ancestor Search: Generalized Open Set Recognition via Hyperbolic Side Information Learning. - Xiwen Dengxiong; Yu Kong 001 (WACV, 2023)

On Model Explanations with Transferable Neural Pathways. - Xinmiao Lin; Wentao Bao; Qi Yu 001; Yu Kong 001 (CoRR, 2023)

Latent Space Energy-based Model for Fine-grained Open Set Recognition. - Wentao Bao; Qi Yu 001; Yu Kong 001 (CoRR, 2023)

From Ensemble Clustering to Subspace Clustering: Cluster Structure Encoding. - Zhiqiang Tao; Jun Li 027; Huazhu Fu; Yu Kong 001; Yun Fu 001 (IEEE Trans. Neural Networks Learn. Syst., 2023)

Prompting Language-Informed Distribution for Compositional Zero-Shot Learning. - Wentao Bao; Lichang Chen; Heng Huang; Yu Kong 001 (ECCV (14), 2024)

Learning to Localize Actions in Instructional Videos with LLM-Based Multi-pathway Text-Video Alignment. - Yuxiao Chen 002; Kai Li 012; Wentao Bao; Deep Patel; Yu Kong 001; Martin Renqiang Min; Dimitris N. Metaxas (ECCV (82), 2024)

SHINE: Saliency-Aware Hierarchical Negative Ranking for Compositional Temporal Grounding. - Zixu Cheng; Yujiang Pu; Shaogang Gong; Parisa Kordjamshidi; Yu Kong 001 (ECCV (19), 2024)

Facial Affective Behavior Analysis with Instruction Tuning. - Yifan Li; Anh Dao; Wentao Bao; Zhen Tan 001; Tianlong Chen 001; Huan Liu 001; Yu Kong 001 (ECCV (18), 2024)

A Survey of Multimodal Sarcasm Detection. - Shafkat Farabi; Tharindu Ranasinghe; Diptesh Kanojia; Yu Kong 001; Marcos Zampieri (IJCAI, 2024)

The Wolf Within: Covert Injection of Malice into MLLM Societies via an MLLM Operative. - Zhen Tan 001; Chengshuai Zhao; Raha Moraffah; Yifan Li; Yu Kong 001; Tianlong Chen 001; Huan Liu 001 (CoRR, 2024)

Window Token Concatenation for Efficient Visual Large Language Models. - Yifan Li; Wentao Bao; Botao Ye; Zhen Tan 001; Tianlong Chen 001; Huan Liu 001; Yu Kong 001 (CVPR Workshops, 2025)

Exploiting VLM Localizability and Semantics for Open Vocabulary Action Detection. - Wentao Bao; Kai Li 012; Yuxiao Chen 002; Deep Patel; Martin Renqiang Min; Yu Kong 001 (WACV, 2025)

Visual Large Language Models for Generalized and Specialized Applications. - Yifan Li; Zhixin Lai; Wentao Bao; Zhen Tan 001; Anh Dao; Kewei Sui; Jiayi Shen; Dong Liu; Huan Liu 001; Yu Kong 001 (CoRR, 2025)

Are We Merely Justifying Results ex Post Facto? Quantifying Explanatory Inversion in Post-Hoc Model Explanations. - Zhen Tan 001; Song Wang 013; Yifan Li; Yu Kong 001; Jundong Li; Tianlong Chen 001; Huan Liu 001 (CoRR, 2025)

IndustryEQA: Pushing the Frontiers of Embodied Question Answering in Industrial Scenarios. - Yifan Li; Yuhang Chen; Anh Dao; Lichi Li; Zhongyi Cai; Zhen Tan 001; Tianlong Chen 001; Yu Kong 001 (CoRR, 2025)