@inproceedings{Bao2023,abbr={arXiv},arxiv={https://arxiv.org/pdf/2305.14428.pdf},author={Bao, Wentao and Chen, Lichang and Huang, Heng and Kong, Yu},booktitle={arXiv},title={Prompting Language-Informed Distribution for Compositional Zero-Shot Learning},year={2023}}
@inproceedings{JunwenMM2023,abbr={MM},author={Chen, Junwen and Zhu, Jie and Kong, Yu},booktitle={ACM Multimedia},date-modified={2023-08-04 15:18:50 -0400},title={ATM: Action Temporality Modeling for Video Question Answering},year={2023}}
@inproceedings{BaoICCV2023,abbr={ICCV},arxiv={https://arxiv.org/pdf/2307.08243.pdf},author={Bao, Wentao and Chen, Lele and Zeng, Libing and Li, Zhong and Xu, Yi and Yuan, Junsong and Kong, Yu},booktitle={International Conference on Computer Vision (ICCV)},date-modified={2023-07-14 09:27:27 -0400},demo={https://www.linkedin.com/feed/update/urn:li:activity:7087460563957477377/},title={Uncertainty-aware State Space Transformer for Egocentric 3D Trajectory Forecasting},year={2023}}
arXiv
An Eye for an Eye: Defending against Gradient-based Attacks with Gradients
@inproceedings{Hong2023_3,abbr={arXiv},author={Hong, Hanbin and Hong, Yuan and Kong, Yu},booktitle={arXiv},title={An Eye for an Eye: Defending against Gradient-based Attacks with Gradients},year={2023}}
arXiv
Exploring Latent Space Energy-based Model for Fine-grained Open Set Recognition
@inproceedings{Bao2023_3,abbr={arXiv},author={Bao, Wentao and Yu, Qi and Kong, Yu},booktitle={arXiv},date-modified={2023-07-10 10:11:58 -0400},title={Exploring Latent Space Energy-based Model for Fine-grained Open Set Recognition},year={2023}}
@inproceedings{LinCVPR2023,abbr={CVPR},arxiv={https://arxiv.org/pdf/2305.02541.pdf},author={Lin, Xinmiao and Li, Yikang and Hsiao, Jenhao and Ho, Chiu Man and Kong, Yu},booktitle={IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},title={Catch Missing Details: Image Reconstruction with Frequency Augmented Variational Autoencoder},year={2023}}
@inproceedings{XiwenWACV2023,abbr={WACV},author={Dengxiong, Xiwen and Kong, Yu},booktitle={IEEE/CVF Winter Conferences on Applications of Computer Vision (WACV)},pdf={https://openaccess.thecvf.com/content/WACV2023/papers/Dengxiong_Ancestor_Search_Generalized_Open_Set_Recognition_via_Hyperbolic_Side_Information_WACV_2023_paper.pdf},title={Ancestor Search: Generalized Open Set Recognition via Hyperbolic Side Information Learning},year={2023}}
@inproceedings{LiCVPR2022,abbr={CVPR},arxiv={https://arxiv.org/pdf/2203.16210.pdf},author={Li, Shuai and Kong, Yu and Rezatofighi, Hamid},booktitle={IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},code={https://github.com/derkbreeze/LPT},pdf={https://openaccess.thecvf.com/content/CVPR2022/papers/Li_Learning_of_Global_Objective_for_Network_Flow_in_Multi-Object_Tracking_CVPR_2022_paper.pdf},title={Learning an Optimal Linear Program for Multi-Target Tracking},year={2022}}
@inproceedings{ChenCVPR2022,abbr={CVPR},arxiv={https://arxiv.org/pdf/2206.04668.pdf},author={Chen, Junwen and Mittal, Gaurav and Yu, Ye and Kong, Yu and Chen, Mei},booktitle={IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},pdf={https://openaccess.thecvf.com/content/CVPR2022/papers/Chen_GateHUB_Gated_History_Unit_With_Background_Suppression_for_Online_Action_CVPR_2022_paper.pdf},title={GateHUB: Gated History Unit with Background Suppression for Online Action Detection},year={2022}}
@inproceedings{BaoCVPR2022,abbr={CVPR},arxiv={https://arxiv.org/pdf/2203.05114.pdf},author={Bao, Wentao and Yu, Qi and Kong, Yu},booktitle={IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},code={https://github.com/Cogito2012/OpenTAL},pdf={https://openaccess.thecvf.com/content/CVPR2022/papers/Bao_OpenTAL_Towards_Open_Set_Temporal_Action_Localization_CVPR_2022_paper.pdf},title={OpenTAL: Towards Open Set Temporal Action Localization},year={2022}}
@inproceedings{KrishnaAAAI2022,abbr={AAAI},arxiv={https://arxiv.org/abs/2204.00970},author={Neupane, Krishna Prasad and Zheng, Ervine and Kong, Yu and Yu, Qi},booktitle={Association for the Advancement of Artificial Intelligence (AAAI)},title={A Dynamic Meta-Learning Model for Time-Sensitive Cold-Start Recommendations},year={2022}}
@inproceedings{3DPert2022,abbr={S&P},arxiv={https://arxiv.org/pdf/2107.04284.pdf},author={Xie, Shangyu and Wang, Han and Kong, Yu and Hong, Yuan},booktitle={IEEE Symposium on Security and Privacy (S&P)},title={Universal 3-Dimensional Perturbations for Black-Box Attacks on Video Recognition Systems},year={2022}}
@article{KongIJCV2022,abbr={IJCV},arxiv={https://arxiv.org/abs/1806.11230},author={Kong, Yu and Fu, Yun},journal={International Journal of Computer Vision (IJCV)},number={3},pages={1366-1401},pdf={https://link.springer.com/article/10.1007/s11263-022-01594-9},publisher={Springer US},title={Human Action Recognition and Prediction: A Survey},volume={130},year={2022}}
@inproceedings{LinBMVC2021,abbr={BMVC},arxiv={https://arxiv.org/abs/2111.01215},author={Lin, Xinmiao and Bao, Wentao and Kong, Yu},booktitle={British Machine Vision Conference (BMVC)},date-modified={2023-08-04 15:18:19 -0400},pdf={https://www.bmvc2021-virtualconference.com/assets/papers/0059.pdf},title={Gradient Frequency Modulation for Visually Explaining Video Understanding Models},year={2021}}
@inproceedings{ChenICCV2021,abbr={ICCV},author={Chen, Junwen and Kong, Yu},booktitle={Proceedings of the IEEE International Conference on Computer Vision (ICCV)},pdf={https://openaccess.thecvf.com/content/ICCV2021/papers/Chen_Explainable_Video_Entailment_With_Grounded_Visual_Evidence_ICCV_2021_paper.pdf},title={Explainable Video Entailment with Grounded Visual Evidence},year={2021}}
@inproceedings{BaoICCV2021_2,abbr={ICCV},arxiv={https://arxiv.org/abs/2107.10189},author={Bao, Wentao and Yu, Qi and Kong, Yu},booktitle={Proceedings of the IEEE International Conference on Computer Vision (ICCV)},code={https://github.com/Cogito2012/DRIVE},demo={https://www.youtube.com/watch?v=A3bTWejzUwM},pdf={https://openaccess.thecvf.com/content/ICCV2021/papers/Bao_DRIVE_Deep_Reinforced_Accident_Anticipation_With_Visual_Explanation_ICCV_2021_paper.pdf},title={DRIVE: Deep Reinforced Accident Anticipation with Visual Explanation},year={2021}}
@inproceedings{BaoICCV2021,abbr={ICCV},arxiv={https://arxiv.org/abs/2107.10161},author={Bao, Wentao and Yu, Qi and Kong, Yu},booktitle={Proceedings of the IEEE International Conference on Computer Vision (ICCV)},code={https://github.com/Cogito2012/DEAR},pdf={https://openaccess.thecvf.com/content/ICCV2021/papers/Bao_Evidential_Deep_Learning_for_Open_Set_Action_Recognition_ICCV_2021_paper.pdf},title={Evidential Deep Learning for Open Set Action Recognition},year={2021}}
@inproceedings{DengxiongIJCNN2021,abbr={IJCNN},author={Dengxiong, Xiwen and Bao, Wentao and Kong, Yu},booktitle={International Joint Conference on Neural Networks (IJCNN)},title={Multiple Instance Relational Learning for Video Anomaly Detection},website={https://doi.org/10.1109/IJCNN52387.2021.9534124},year={2021}}
@article{ZhangTIP2021,abbr={T-IP},author={Zhang, Yulun and Li, Kunpeng and Li, Kai and Sun, Gan and Kong, Yu and Fu, Yun},journal={IEEE Transaction on Image Processing (T-IP)},pages={6255-6265},pdf={https://ieeexplore.ieee.org/document/9479770},title={Residual Dense Network for Image Restoration},year={2021}}
@article{KongTIP2020,abbr={T-IP},author={Li, Kunpeng and Kong, Yu and Fu, Yun},journal={IEEE Transaction on Image Processing (T-IP)},pdf={https://ieeexplore.ieee.org/document/8935511},title={Visual Object Tracking via Multi-Stream Deep Similarity Learning Networks},year={2020}}
RIT-18: A Novel Dataset for Compositional Group Activity Understanding
Junwen Chen, Haiting Hao, Hanbin Hong, and Yu Kong
In IEEE Conference on Computer Vision and Pattern Recognition (CVPR) Workshop, 2020
@inproceedings{ChenCVPRW2020,author={Chen, Junwen and Hao, Haiting and Hong, Hanbin and Kong, Yu},booktitle={IEEE Conference on Computer Vision and Pattern Recognition (CVPR) Workshop},dataset={https://github.com/junwenchen/RIT-18},pdf={https://openaccess.thecvf.com/content_CVPRW_2020/papers/w22/Chen_RIT-18_A_Novel_Dataset_for_Compositional_Group_Activity_Understanding_CVPRW_2020_paper.pdf},title={{RIT-18}: A Novel Dataset for Compositional Group Activity Understanding},year={2020}}
@inproceedings{ZangIJCAI2020,abbr={IJCAI},author={Zang, Chuanqi and Pei, Mingtao and Kong, Yu},booktitle={International Joint Conference on Artificial Intelligence (IJCAI)},pdf={https://www.ijcai.org/proceedings/2020/0118.pdf},title={Few-shot Human Motion Prediction via Learning Novel Motion Dynamics},year={2020}}
@inproceedings{BaoIROS2020,abbr={IROS},arxiv={https://arxiv.org/abs/2007.09836},author={Bao, Wentao and Yu, Qi and Kong, Yu},booktitle={IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS)},pdf={http://ras.papercept.net/images/temp/IROS/files/2022.pdf},title={Object-Aware Centroid Voting for Monocular 3D Object Detection},year={2020}}
@inproceedings{ChenECCV2020,abbr={ECCV},arxiv={https://arxiv.org/abs/2008.02441},author={Chen, Junwen and Bao, Wentao and Kong, Yu},booktitle={European Conference on Computer Vision (ECCV)},code={https://github.com/junwenchen/GAP_SRAM},pdf={https://www.ecva.net/papers/eccv_2020/papers_ECCV/papers/123660579.pdf},title={Group Activity Prediction with Sequential Relational Anticipation Model},year={2020}}
@article{ZhangTPAMI2020,abbr={T-PAMI},author={Zhang, Yulun and Tian, Yapeng and Kong, Yu and Zhong, Bineng and Fu, Yun},journal={IEEE Transaction on Pattern Analysis and Machine Intelligence (T-PAMI)},title={Residual Dense Network for Image Restoration},year={2020}}
@inproceedings{KongEDBT2020,abbr={EDBT},author={Wang, Han and Hong, Yuan and Kong, Yu and Vaidya, Jaideep},booktitle={23rd International Conference on Extending Database Technology (EDBT)},pdf={https://people.rit.edu/yukics/papers/EDBT2020.pdf},title={Publishing Video Data with Indistinguishable Objects},year={2020}}
Revealing a History: Palimpsest Text Separation by Recreatingthe Historical Document with Generative Networks
@inproceedings{Kong2020Revealing,author={Starynska, Anna and Messinger, David and Kong, Yu},booktitle={arXiv},pdf={https://link.springer.com/content/pdf/10.1007/s10032-021-00379-z.pdf},title={Revealing a History: Palimpsest Text Separation by Recreatingthe Historical Document with Generative Networks},year={2020}}
@article{LiTIP2019,abbr={T-IP},author={Li, Kunpeng and Kong, Yu and Fu, Yun},journal={IEEE Transactions on Image Processing (T-IP)},pages={3311 - 3320},title={Visual Object Tracking Via Multi-Stream Deep Similarity Learning Networks},year={2019}}
@article{JiaTCSVT2019,abbr={T-CSVT},author={Jia, Chengcheng and Ding, Zhengming and Kong, Yu and Fu, Yun},journal={IEEE Trans. Circuits and Systems for Video Technology (T-CSVT)},pdf={https://ieeexplore.ieee.org/document/8685172},title={Semi-Supervised Cross-Modality Action Recognition by Latent Tensor Transfer Learning},year={2019}}
@incollection{KongBook3,author={Kong, Yu and Fu, Yun},booktitle={Deep Learning through Sparse and Low-Rank Modeling},pages={107--122},publisher={Elsevier},title={Activity Recognition},year={2019}}
@inproceedings{SunICDM2018,abbr={ICDM},author={Sun, Gan and Cong, Yang and Kong, Yu and Xu, Xiaowei},booktitle={IEEE International Conference on Data Mining (ICDM)},title={Clustered Lifelong Learning via Representative Task Selection},year={2018}}
@inproceedings{ZhangCVPR2018,abbr={CVPR},author={Zhang, Yulun and Tian, Yapeng and Kong, Yu and Zhong, Bineng and Fu, Yun},booktitle={IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},title={Residual Dense Network for Image Super-Resolution},year={2018}}
@inproceedings{KongAAAI2018,abbr={AAAI},author={Kong, Yu and Gao, Shangqian and Sun, Bin and Fu, Yun},booktitle={AAAI Conference on Artificial Intelligence (AAAI)},title={Action Prediction from Videos via Memorizing Hard-to-Predict Samples},year={2018}}
@article{JiangTBD2017,abbr={T-BD},author={Jiang, Shuhui and Kong, Yu and Fu, Yun},date-modified={2023-08-04 15:19:29 -0400},journal={IEEE Trans. Big Data},number={2},pages={120--133},pdf={http://ieeexplore.ieee.org/document/8116693/},title={Deep Geo-constrained Auto-encoder for Non-landmark GPS Estimation},volume={5},year={2017}}
@inproceedings{ZhaoMM2017,abbr={MM},author={Zhao, Wencang and Kong, Yu and Ding, Zhengming and Fu, Yun},booktitle={ACM Multimedia},pdf={https://dl.acm.org/citation.cfm?id=3123337},title={Deep Active Learning Through Cognitive Information Parcels},year={2017}}
@inproceedings{LiAAAI2017,abbr={AAAI},author={Li, Jun and Kong, Yu and Fu, Yun},booktitle={AAAI Conference on Artificial Intelligence (AAAI)},pdf={https://aaai.org/ocs/index.php/AAAI/AAAI17/paper/view/14226},title={Sparse Subspace Clustering by Learning Approximation l0 Codes},year={2017}}
@inproceedings{LiIJCAI2017,abbr={IJCAI},author={Li, Kunpeng and Kong, Yu and Fu, Yun},booktitle={Proceedings of the Twenty-Sixth International Joint Conference on Artificial Intelligence (IJCAI)},pdf={https://www.ijcai.org/proceedings/2017/0301.pdf},title={Multi-Stream Deep Similarity Learning Networks for Visual Tracking},year={2017}}
@article{KongTNNLS2017,abbr={T-NNLS},author={Kong, Yu and Shao, Ming and Li, Kang and Fu, Yun},journal={IEEE Transactions on Neural Networks and Learning Systems (T-NNLS)},pdf={http://ieeexplore.ieee.org/document/7805309/},publisher={IEEE},title={Probabilistic Low-Rank Multitask Learning},year={2017}}
@article{KongIJCV2017,abbr={IJCV},author={Kong, Yu and Fu, Yun},journal={International Journal of Computer Vision (IJCV)},number={3},pages={350-371},pdf={https://link.springer.com/article/10.1007/s11263-016-0982-6},publisher={Springer US},title={Max-Margin Heterogeneous Information Machine for RGB-D Action Recognition},volume={123},year={2017}}
@inproceedings{KongCVPR2017,abbr={CVPR},author={Kong, Yu and Tao, Zhiqiang and Fu, Yun},booktitle={IEEE Conference on Computer Vision and Pattern Recognition (CVPR)},pdf={http://ieeexplore.ieee.org/document/8099873/},title={Deep Sequential Context Networks for Action Prediction},year={2017}}
@article{KongTIP2017,abbr={T-IP},author={Kong, Yu and Ding, Zhengming and Li, Jun and Fu, Yun},journal={IEEE Transactions on Image Processing (T-IP)},number={6},pages={3028--3037},pdf={http://ieeexplore.ieee.org/document/7907301/},publisher={IEEE},title={Deeply Learned View-Invariant Features for Cross-View Action Recognition},volume={26},year={2017}}
2016
Introduction
Yu Kong, and Yun Fu
In Human Activity Recognition and Prediction, 2016
@incollection{KongBook4,author={Kong, Yu and Fu, Yun},booktitle={Human Activity Recognition and Prediction},pages={107--122},pdf={http://www.springer.com/us/book/9783319270029},publisher={Springer},title={Introduction},year={2016}}
Activity Prediction
Yu Kong, and Yun Fu
In Human Activity Recognition and Prediction, 2016
@incollection{KongBook1,author={Kong, Yu and Fu, Yun},booktitle={Human Activity Recognition and Prediction},pages={107--122},pdf={http://www.springer.com/us/book/9783319270029},publisher={Springer International Publishing},title={Activity Prediction},year={2016}}
@article{LiTIP2016,abbr={T-IP},author={Li, Jun and Kong, Yu and Zhao, Handong and Yang, Jian and Fu, Yun},journal={IEEE Transactions on Image Processing (T-IP)},number={10},pages={4803--4814},pdf={http://ieeexplore.ieee.org/document/7539377/},publisher={IEEE},title={Learning Fast Low-Rank Projection for Image Classification},volume={25},year={2016}}
@inproceedings{WuMM2016,abbr={MM},author={Wu, Yue and Li, Jun and Kong, Yu and Fu, Yun},booktitle={Proceedings of the 2016 ACM on Multimedia Conference},organization={ACM},pages={1063--1067},pdf={https://dl.acm.org/citation.cfm?id=2984060},title={Deep Convolutional Neural Network with Independent Softmax for Large Scale Face Recognition},year={2016}}
RGB-D Action Recognition
Chengcheng Jia, Yu Kong, Zhengming Ding, and Yun Fu
In Human Activity Recognition and Prediction, 2016
@incollection{JiaBook1,author={Jia, Chengcheng and Kong, Yu and Ding, Zhengming and Fu, Yun},booktitle={Human Activity Recognition and Prediction},pages={87--106},pdf={http://www.springer.com/us/book/9783319270029},publisher={Springer International Publishing},title={RGB-D Action Recognition},year={2016}}
@article{KitTBD2016,abbr={T-BD},author={Kit, Dmitry and Kong, Yu and Fu, Yun},journal={IEEE Transactions on Big Data},number={4},pages={325--338},pdf={http://ieeexplore.ieee.org/document/7547363/},publisher={IEEE},title={Efficient Image Geotagging Using Large Databases},volume={2},year={2016}}
Action Recognition and Human Interaction
Yu Kong, and Yun Fu
In Human Activity Recognition and Prediction, 2016
@incollection{KongBook2,author={Kong, Yu and Fu, Yun},booktitle={Human Activity Recognition and Prediction},pages={23--48},pdf={http://www.springer.com/us/book/9783319270029},publisher={Springer International Publishing},title={Action Recognition and Human Interaction},year={2016}}
@article{KongTIP2016a,abbr={T-IP},author={Kong, Yu and Fu, Yun},journal={IEEE Transactions on Image Processing (T-IP)},number={1},pages={167--178},pdf={http://ieeexplore.ieee.org/document/7321036/},publisher={IEEE},title={Close Human Interaction Recognition Using Patch-Aware Models},volume={25},year={2016}}
@article{KongCVIU2016,abbr={CVIU},author={Kong, Yu and Satarboroujeni, Behnam and Fu, Yun},journal={Computer Vision and Image Understanding (CVIU)},pages={14--23},pdf={https://www.sciencedirect.com/science/article/pii/S1077314215002118},publisher={Academic Press},title={Learning hierarchical 3D kernel descriptors for RGB-D action recognition},volume={144},year={2016}}
@inproceedings{KongFG2015,abbr={FG},author={Kong, Yu and Satarboroujeni, Behnam and Fu, Yun},booktitle={Automatic Face and Gesture Recognition (FG), 2015 11th IEEE International Conference and Workshops on},organization={IEEE},pages={1--6},pdf={http://ieeexplore.ieee.org/document/7163084/},title={Hierarchical 3D kernel descriptors for action recognition using depth sequences},volume={1},year={2015}}
@inproceedings{KongCVPR2015,abbr={CVPR},author={Kong, Yu and Fu, Yun},booktitle={IEEE Conference on Computer Vision and Pattern Recognition (CVPR)},pages={1054-1062},pdf={https://ieeexplore.ieee.org/document/7298708},title={Bilinear Heterogeneous Information Machine for {RGB-D} Action Recognition},year={2015}}
@article{KongTPAMI2014,abbr={T-PAMI},author={Kong, Yu and Jia, Yunde and Fu, Yun},journal={IEEE Transaction on Pattern Analysis and Machine Intelligence (T-PAMI)},number={9},pages={1775-1788},pdf={http://ieeexplore.ieee.org/document/6739171/},title={Interactive Phrases: Semantic Descriptions for Human Interaction Recognition},volume={36},year={2014}}
Learning a discriminative mid-level feature for action recognition
@article{liu2014learning,author={Liu, CuiWei and Pei, MingTao and Wu, XinXiao and Kong, Yu and Jia, YunDe},journal={Science China Information Sciences},number={5},pages={1--13},pdf={https://link.springer.com/article/10.1007/s11432-013-4938-y},publisher={Springer},title={Learning a discriminative mid-level feature for action recognition},volume={57},year={2014}}
@inproceedings{JiaMM2014,abbr={MM},author={Jia, Chengcheng and Kong, Yu and Ding, Zhengming and Fu, Yun Raymond},booktitle={ACM Multimedia},pages={87--96},pdf={https://dl.acm.org/citation.cfm?id=2654928},title={Latent tensor transfer learning for RGB-D action recognition},year={2014}}
@inproceedings{kit2014lasom,abbr={IJCNN},author={Kit, Dmitry and Kong, Yu and Fu, Yun},booktitle={International Joint Conference on Neural Network (IJCNN)},pdf={http://ieeexplore.ieee.org/document/6889972/},title={LASOM: Location Aware Self-Organizing Map for Discovering Similar and Unique Visual Features of Geographical Locations.},year={2014}}
Modeling supporting regions for close human interaction recognition
Yu Kong, and Yun Fu
In European Conference on Computer Vision Workshop, 2014
@inproceedings{KongECCVW2014,author={Kong, Yu and Fu, Yun},booktitle={European Conference on Computer Vision Workshop},organization={Springer International Publishing},pages={29--44},pdf={https://link.springer.com/chapter/10.1007%2F978-3-319-16181-5_3},year={2014}}
Recognising human interaction from videos by a discriminative model
@article{KongIETCV2014,author={Kong, Yu and Liang, Wei and Dong, Zhen and Jia, Yunde},journal={IET Computer Vision},number={4},pages={277--286},publisher={IET},title={Recognising human interaction from videos by a discriminative model},volume={8},year={2014}}
@inproceedings{KongECCV2014,abbr={ECCV},author={Kong, Yu and Kit, Dmitry and Fu, Yun},booktitle={European Conference on Computer Vision (ECCV)},pdf={https://link.springer.com/chapter/10.1007/978-3-319-10602-1_39},title={A Discriminative Model with Multiple Temporal Scales for Action Prediction},year={2014}}
@inproceedings{HuFG2013,abbr={FG},author={Hu, Jie and Kong, Yu and Fu, Yun},booktitle={Automatic Face and Gesture Recognition (FG), 2013 10th IEEE International Conference and Workshops on},organization={IEEE},pages={1--6},title={Activity recognition by learning structural and pairwise mid-level features using random forest},year={2013}}
@inproceedings{HuFG2012,abbr={FG},author={Hu, Jie and Kong, Yu and Fu, Yun},booktitle={Automatic Face and Gesture Recognition},pdf={http://ieeexplore.ieee.org/document/6553706/},title={Activity Recognition by Learning Structural and Pairwise Mid-level Features Using Random Forest},year={2012}}
@inproceedings{LiuICPR2012,abbr={ICPR},author={Liu, Cuiwei and Kong, Yu and Wu, Xinxiao and Jia, Yunde},booktitle={Pattern Recognition (ICPR), 2012 21st International Conference on},organization={IEEE},pages={3366--3369},pdf={https://link.springer.com/article/10.1007/s11432-013-4938-y},title={Action recognition with discriminative mid-level features},year={2012}}
@inproceedings{YangBMVC2012,abbr={BMVC},author={Yang, Zhi and Kong, Yu and Fu, Yun},booktitle={British Machine Vision Conference (BMVC)},pages={1--11},pdf={http://www.bmva.org/bmvc/2012/BMVC/paper015/index.html},title={Contour-HOG: A Stub Feature based Level Set Method for Learning Object Contour.},year={2012}}
@inproceedings{yang2012decomposed,abbr={ICPR},author={Yang, Zhi and Kong, Yu and Fu, Yun},booktitle={Pattern Recognition (ICPR), 2012 21st International Conference on},organization={IEEE},pages={767--770},pdf={http://ieeexplore.ieee.org/document/6460247/},title={Decomposed contour prior for shape recognition},year={2012}}
@inproceedings{KongICME2012,abbr={ICME},author={Kong, Yu and Jia, Yunde},booktitle={IEEE International Conference on Multimedia and Expo (ICME)},pdf={http://ieeexplore.ieee.org/document/6298365/},title={A Hierarchical Model for Human Interaction Recognition},year={2012}}
@inproceedings{KongECCV2012,abbr={ECCV},author={Kong, Yu and Jia, Yunde and Fu, Yun},booktitle={European Conference on Computer Vision (ECCV)},comment={ECCV},pdf={https://link.springer.com/chapter/10.1007/978-3-642-33718-5_22},title={Learning Human Interaction by Interactive Phrases},year={2012}}
2011
Recognizing human interaction by multiple features
@inproceedings{DongACPR2011,author={Dong, Zhen and Kong, Yu and Liu, Cuiwei and Li, Hongdong and Jia, Yunde},booktitle={Pattern Recognition (ACPR), 2011 First Asian Conference on},organization={IEEE},pages={77--81},pdf={http://ieeexplore.ieee.org/document/6166533/},title={Recognizing human interaction by multiple features},year={2011}}
@article{KongPRL2011,abbr={PRL},author={Kong, Yu and Zhang, Xiaoqin and Hu, Weiming and Jia, Yunde},journal={Pattern Recognition Letters},number={8},pages={1178--1186},pdf={https://www.sciencedirect.com/science/article/pii/S0167865511000717},publisher={Elsevier},title={Adaptive learning codebook for action recognition},volume={32},year={2011}}
@inproceedings{wei2010compact,abbr={ICIP},author={Wei, Qingdi and Zhang, Xiaoqin and Kong, Yu and Hu, Weiming and Ling, Haibin},booktitle={International Conference on Image Processing (ICIP)},pages={3805--3808},pdf={http://ieeexplore.ieee.org/document/5654027/},title={Compact visual codebook for action recognition},year={2010}}
A swarm intelligence based searching strategy for articulated 3D human body tracking
Xiaoqin Zhang, and al.
In IEEE Conference on Computer Vision and Pattern Recognition Workshop, 2010
@inproceedings{ZhangCVPRW2010,author={Zhang, Xiaoqin and et al.},booktitle={IEEE Conference on Computer Vision and Pattern Recognition Workshop},pages={45--50},pdf={http://ieeexplore.ieee.org/document/5543804/},title={A swarm intelligence based searching strategy for articulated 3D human body tracking},year={2010}}
Learning human actions with an adaptive codebook
Yu Kong, Xiaoqin Zhang, Weiming Hu, and Yunde Jia
In Virtual Systems and Multimedia (VSMM), 2010 16th International Conference on, 2010
@inproceedings{KongVSMM2010,author={Kong, Yu and Zhang, Xiaoqin and Hu, Weiming and Jia, Yunde},booktitle={Virtual Systems and Multimedia (VSMM), 2010 16th International Conference on},organization={IEEE},pages={13--20},pdf={http://ieeexplore.ieee.org/document/5665971/},title={Learning human actions with an adaptive codebook},year={2010}}
2009
Group action recognition using space-time interest points
@inproceedings{wei2009group,author={Wei, Qingdi and Zhang, Xiaoqin and Kong, Yu and Hu, Weiming and Ling, Haibin},booktitle={Advances in Visual Computing},pages={757--766},pdf={https://link.springer.com/chapter/10.1007/978-3-642-10520-3_72},publisher={Springer Berlin/Heidelberg},title={Group action recognition using space-time interest points},year={2009}}
@inproceedings{KongACCV2009,abbr={ACCV},author={Kong, Yu and Hu, Weiming and Zhang, Xiaoqin and Wang, Hanzi and Jia, Yunde},booktitle={Asian Conference on Computer Vision (ACCV)},organization={Springer Berlin Heidelberg},pages={103--112},pdf={https://link.springer.com/chapter/10.1007%2F978-3-642-12307-8_10},title={Learning group activity in soccer videos from local motion},year={2009}}
@inproceedings{KongICPR2008,abbr={ICPR},author={Kong, Yu and Zhang, Xiaoqin and Wei, Qingdi and Hu, Weiming and Jia, Yunde},booktitle={International Conference on Pattern Recognition (ICPR)},organization={IEEE},pages={1--4},pdf={http://ieeexplore.ieee.org/document/4761001/},title={Group action recognition in soccer videos},year={2008}}