Publications
Book Chapters
- Yu Kong and Yun Fu. Action Recognition. In Zhangyang Wang, Yun Fu, and Thomas Huang (Eds.), Deep Learning through Sparse and Low-Rank Modeling, chapter 8, Elsevier, 2019.
- Yu Kong and Yun Fu. Introduction. In Yun Fu (Eds.), Human Activity Recognition and Prediction, chapter 1, Springer, 2016.
- Yu Kong and Yun Fu. Action Recognition and Human Interaction. In Yun Fu (Eds.), Human Activity Recognition and Prediction, chapter 2, Springer, 2016.
- Yu Kong and Yun Fu. Activity Prediction. In Yun Fu (Eds.), Human Activity Recognition and Prediction, chapter 6, Springer, 2016.
- Chengcheng Jia, Yu Kong, Zhengming Ding, and Yun Fu. RGB-D Action Recognition. In Yun Fu (Eds.), Human Activity Recognition and Prediction, chapter 5, Springer, 2016.
2021
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Xinmiao Lin, Wentao Bao, Matthew Wright, and Yu Kong. Gradient Frequency Modulation for Visually Explaining Video Understanding Models. British Machine Vision Conference (BMVC), 2021. [Paper], [Project].
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Wentao Bao, Qi Yu, and Yu Kong. Evidential Deep Learning for Open Set Action Recognition. International Conference on Computer Vision (ICCV), 2021. Oral [Paper], [Project]
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Wentao Bao, Qi Yu, and Yu Kong. DRIVE: Deep Reinforced Accident Anticipation with Visual Explanation. International Conference on Computer Vision (ICCV), 2021. [Paper],[Project]
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Junwen Chen and Yu Kong. Explainable Video Entailment with Grounded Visual Evidence. International Conference on Computer Vision (ICCV), 2021. [Project]
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Yulun Zhang, Kunpeng Li, Kai Li, Gan Sun, Yu Kong, Yun Fu. Accurate and Fast Image Denoising via Attention Guided Scaling. IEEE Transactions on Image Processing (T-IP), 2021
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Yi Tian, Yaping Huang, Wanru Xu, Yu Kong. Coupling Adversarial Graph Embedding for Transductive Zero-shot Action Recognition. Neurocomputing, vol.452, pp.239-252, 2021
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Shangyu Xie, Han Wang, Yu Kong, and Yuan Hong. Universal 3-Dimensional Perturbations for Black-Box Attacks on Video Recognition Systems. IEEE Symposium on Security and Privacy (S&P), 2022
- Xiwen Dengxiong, Wentao Bao, and Yu Kong. Multiple Instance Relational Learning for Video Anomaly Detection. International Joint Conference on Neural Networks (IJCNN), 2021.
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Anna Starynska, David Messinger, and Yu Kong. Revealing a History: Palimpsest Text Separation with Generative Networks. International Journal on Document Analysis and Recognition (IJDAR), 2021
2020
- Wentao Bao, Qi Yu, and Yu Kong. Uncertainty-based Traffic Accident Anticipation with Spatio-Temporal Relational Learning. 28th ACM International Conference on Multimedia (MM), 2020. [Paper, Code, Data]
- Junwen Chen, Wentao Bao, and Yu Kong. Activity-driven Weakly-Supervised Spatio-Temporal Grounding from Untrimmed Videos. 28th ACM International Conference on Multimedia (MM), 2020. [Paper, Project]
- Junwen Chen, Wentao Bao, Yu Kong. Group Activity Prediction with Sequential Relational Anticipation Model. European Conference on Computer Vision (ECCV), 2020. [Paper, Code]
- Wentao Bao, Qi Yu, Yu Kong. Object-Aware Centroid Voting for Monocular 3D Object Detection. IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS), 2020. [Paper, Demo]
- Hanbin Hong, Wentao Bao, Yuan Hong, and Yu Kong. Privacy Attributes-aware Message Passing Neural Network for Visual Privacy Attributes Classification. International Conference on Pattern Recognition (ICPR), 2020.
- Chuanqi Zang, Mingtao Pei, and Yu Kong. Few-shot Human Motion Prediction via Learning Novel Motion Dynamics. International Joint Conference on Artificial Intelligence (IJCAI), 2020. [Paper]
- Junwen Chen, Haiting Hao, Hanbin Hong, and Yu Kong. RIT-18: A Novel Dataset for Compositional Group Activity Understanding. IEEE Conference on Computer Vision and Pattern Recognition (CVPR) Workshop, 2020. [Paper, RIT-18 Dataset]
- Yulun Zhang, Yapeng Tian, Yu Kong, Bineng Zhong, and Yun Fu. Residual Dense Network for Image Restoration. IEEE Transaction on Pattern Analysis and Machine Intelligence (T-PAMI), 2020
- Yu Kong and Yun Fu. Human Action Recognition and Prediction: A Survey. [v1]
- Kunpeng Li, Yu Kong, and Yun Fu. Visual Object Tracking via Multi-Stream Deep Similarity Learning Networks. IEEE Transaction on Image Processing (T-IP), 2020. Accepted
- Han Wang, Yuan Hong, Yu Kong, and Jaideep Vaidya. Publishing Video Data with Indistinguishable Objects. 23rd International Conference on Extending Database Technology (EDBT), 2020 [PDF]
2019
- Yi Tian, Yu Kong, Qiuqi Ruan, Gaoyun An, Yun Fu. Aligned Dynamic Preserving Embedding for Zero-Shot Action Recognition. IEEE Trans. Circuits and Systems for Video Technology (T-CSVT), 2019. Accepted
- Chengcheng Jia, Zhengming Ding, Yu Kong, Yun Fu. Semi-Supervised Cross Modality Action Recognition by Latent Tensor Transfer Learning. IEEE Trans. Circuits and Systems for Video Technology (T-CSVT), 2019. Accepted
- Yu Kong, Zhiqiang Tao, Yun Fu. Adversarial Action Prediction Networks. IEEE Trans. Pattern Analysis and Machine Intelligence (T-PAMI), 2019. Accepted
2018
- Yi Tian, Yu Kong, Qiuqi Ruan, Gaoyun An, Yun Fu. Hierarchical and SpatioTemporal Sparse Representation for Human Action Recognition. IEEE Transactions on Image Processing (T-IP), 2018. Accepted
- Gan Sun, Yang Cong, Yu Kong, and Xiaowei Xu. Clustered Lifelong Learning via Representative Task Selection. IEEE International Conference on Data Mining (ICDM), 2018
- Yulun Zhang, Yapeng Tian, Yu Kong, Bineng Zhong, Yun Fu. Residual Dense Network for Image Super-Resolution. IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 2018
- Yu Kong, Shangqian Gao, Bin Sun, and Yun Fu. Action Prediction from Videos via Memorizing Hard-to-Predict Samples. AAAI Conference on Artificial Intelligence (AAAI), 2018.
2017
- Yu Kong, Zhengming Ding, Jun Li, and Yun Fu. Deeply Learned View-Invariant Features for Cross-View Action Recognition. IEEE Transactions on Image Processing (T-IP), 26(6):3028-3037, 2017
- Shuhui Jiang, Yu Kong, Yun Fu. Deep Geo-constrained Auto-encoder for Nonlandmark GPS Estimation. IEEE Trans. Big Data (T-BDATA), 2017
- Yu Kong, Ming Shao, Kang Li, and Yun Fu. Probabilistic Low-Rank Multi-Task Learning. IEEE Trans. Neural Networks and Learning Systems (T-NNLS), 2017
- Yu Kong and Yun Fu. Max-Margin Heterogeneous Information Machine for RGB-D Action Recognition. International Journal of Computer Vision (IJCV), 123(3):350-371, 2017
- Yu Kong, Zhiqiang Tao, Yun Fu. Deep Sequential Context Networks for Action Prediction. IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 2017.
- Wencang Zhao, Yu Kong, Zhengming Ding, and Yun Fu. Deep Active Learning Through Cognitive Information Parcels. ACM Multimedia (ACM-MM), 2017
- Kunpeng Li, Yu Kong, and Yun Fu. Multi-Stream Deep Similarity Learning Networks for Visual Tracking. International Joint Conference on Artificial Intelligence (IJCAI), pp. 2166-2172, 2017
- Jun Li, Yu Kong, Yun Fu. Sparse Subspace Clustering by Learning Approximation l0 . AAAI Conference on Artificial Intelligence (AAAI), 2017
2016
- Dmitry Kit, Yu Kong, and Yun Fu. Efficient Image Geotagging Using Large Databases. IEEE Trans. Big Data (T-BDATA), 2(4):325-338, 2016
- Jun Li, Yu Kong, Handong Zhao, Jian Yang, and Yun Fu. Learning Fast Lowrank Projection for Image Classification. IEEE Trans. Image Processing (T-IP), 25(10):4803-4814, 2016
- Yu Kong and Yun Fu. Discriminative Relational Representation Learning for RGB-D Action Recognition. IEEE Trans. Image Processing (T-IP), 25(6):28562865, 2016
- Yu Kong and Yun Fu. Max-Margin Action Prediction Machine. IEEE Trans. Pattern Analysis and Machine Intelligence (T-PAMI), 38(9):1844-1858, 2016.
- Yue Wu, Jun Li, Yu Kong, Yun Fu. Deep Convolutional Neural Network with Independent Softmax for Large Scale Face Recognition. ACM Multimedia (ACM MM), pp. 1063-1067, 2016.
2015
- Yu Kong and Yun Fu. Close Human Interaction Recognition using Patch-aware Models. IEEE Trans. Image Processing (T-IP), 25(1):167-178, 2015.
- Yu Kong, Behnam Satarboroujeni, and Yun Fu. Learning Hierarchical 3D Kernel Descriptors for RGB-D Action Recognition. Computer Vision and Image Understanding (CVIU), 144:14-23, 2015.
- Yu Kong and Yun Fu. Bilinear Heterogeneous Information Machine for RGB-D Action Recognition. IEEE Conference on Computer Vision and Pattern Recognition (CVPR), pp. 1054-1062, 2015.
- Yu Kong, Behnam Sattar, and Yun Fu. Hierarchical 3D Kernel Descriptors for Action Recognition Using Depth Sequences. IEEE International Conference on Automatic Face and Gesture Recognition (FG), 2015.
2014
- Yu Kong, Yunde Jia, and Yun Fu. Interactive Phrases: Semantic Descriptions for Human Interaction Recognition. IEEE Trans. Pattern Analysis and Machine Intelligence (T-PAMI), 36(9):1775-1788, 2014.
- Yu Kong, Wei Liang, and Yunde Jia. Recognizing Human Interaction from Videos by a Discriminative Model. IET Computer Vision, 8(4):277-286, 2014
- Cuiwei Liu, Mingtao Pei, Xinxiao Wu, Yu Kong, and Yunde Jia. Learning a discriminative mid-level feature for action recognition. Science China Information Sciences, 57(5):1-13, 2014
- Yu Kong and Yun Fu. Modeling Supporting Regions for Close Human Interaction Recognition. European Conference on Computer Vision workshop, pp. 29-44, 2014.
- Chengcheng Jia, Yu Kong, Zhenming Ding, and Yun Fu. Latent Tensor Transfer Learning for RGB-D Action Recognition, pp. 87-96, ACM Multimedia (ACM MM) 2014 (long paper).
- Yu Kong, Dmitry Kit, and Yun Fu. A Discriminative Model with Multiple Temporal Scales for Action Prediction. European Conference on Computer Vision (ECCV), pp. 596-611, 2014
- Dmitry Kit, Yu Kong, and Yun Fu. LASOM: Location Aware Self-Organizing Map for discovering similar and unique visual features of geographical locations. International Joint Conference on Neural Networks (IJCNN), pp. 263-270, 2014
Before
- Yu Kong, Yunde Jia, and Yun Fu. Learning Human Interactions by Interactive Phrases. European Conference on Computer Vision (ECCV), pp. 300-313, 2012
- Yu Kong and Yunde Jia. A Hierarchical Model for Human Interaction Recognition. IEEE International Conference on Multimedia and Expo (ICME), pp. 1-6, 2012, oral
- Jie Hu, Yu Kong, and Yun Fu. Activity Recognition by Learning Structural and Pairwise Mid-level Features Using Random Forest. Automatic Face and Gesture Recognition (FG), 2012.
- Zhi Yang, Yu Kong, and Yun Fu. Decomposed Contour Prior for Shape Recognition. International Conference on Pattern Recognition (ICPR), pp. 767-770, 2012.
- Zhi Yang, Yu Kong, and Yun Fu. Contour-HOG: A Stub Feature based Level Set Method for Learning Object Contour. British Conference on Computer Vision (BMVC), pp. 1-11, 2012.
- Cuiwei Liu, Yu Kong, Xinxiao Wu, and Yunde Jia. Action Recognition with Discriminative Middle Level Features. International Conference on Pattern Recognition (ICPR), pp. 1-13, 2012, oral
- Zhen Dong, Yu Kong, Cuiwei Liu, Yunde Jia. Recognizing Human Interaction by Multiple Features. Asian Conference on Pattern Recognition (ACPR), pp. 77-81, 2011.
- Yu Kong, Xiaoqin Zhang, Weiming Hu, Yunde Jia. Adaptive Learning Codebook for Action Recognition. Pattern Recognition Letters (PRL). 32(8):1178-1186, 2011
- Yu Kong, Xiaoqin Zhang, Weiming Hu, Yunde Jia. Learning Human Action with an Adaptive Codebook. International Conference on Virtual Systems and Multimedia, pp. 13-20, 2010.
- Qingdi Wei, Xiaoqin Zhang, Yu Kong, Weiming Hu, and Haibin Ling. Compact Visual Codebook for Action Recognition. International Conference on Image Processing (ICIP), pp. 3805-3808, 2010.
- Xiaoqin Zhang, Weiming Hu, Xiangyang Wang, Yu Kong, Nianhua Xie, Hanzi Wang. A Swarm Intelligence Based Searching Strategy for Articulated 3D Human Body Tracking. IEEE Computer Society Conference on Computer Vision and Pattern Recognition Workshops (CVPR), pp. 45-50, 2010.
- Yu Kong, Weiming Hu, Xiaoqin Zhang, Hanzi Wang, Yunde Jia. Learning Group Activity in Soccer Videos from Local Motion. Asian Conference on Computer Vision (ACCV), pp. 103-112, 2009, oral.
- Qingdi Wei, Xiaoqin Zhang, Yu Kong, Weiming Hu, and Haibin Ling. Group Action Recognition Using Space-Time Interest Points. International Symposium on Visual Computing, pp. 757-766, 2009.
- Yu Kong, Xiaoqin Zhang, Qingdi Wei, Weiming Hu, Yunde Jia. Group Action Recognition in Soccer Videos. International Conference on Pattern Recognition (ICPR), pp. 1-4, 2008.