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This is just a disambiguation page, and is not intended to be the bibliography of an actual person. Any publication listed on this page has not been assigned to an actual author yet. If you know the true author of one of the publications listed below, you are welcome to contact us.
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2020 – today
- 2024
[j29]Yu Kong, Bin Zhao
:
Uninorms on bounded trellises. Fuzzy Sets Syst. 481: 108898 (2024)- [i27]Zhen Tan, Chengshuai Zhao, Raha Moraffah, Yifan Li, Yu Kong, Tianlong Chen, Huan Liu:
The Wolf Within: Covert Injection of Malice into MLLM Societies via an MLLM Operative. CoRR abs/2402.14859 (2024) - [i26]Yifan Li, Anh Dao, Wentao Bao, Zhen Tan, Tianlong Chen, Huan Liu, Yu Kong:
Facial Affective Behavior Analysis with Instruction Tuning. CoRR abs/2404.05052 (2024) - [i25]Zixu Cheng, Yujiang Pu, Shaogang Gong, Parisa Kordjamshidi, Yu Kong:
SHINE: Saliency-aware HIerarchical NEgative Ranking for Compositional Temporal Grounding. CoRR abs/2407.05118 (2024) - 2023
- [j28]Zhiqiang Tao, Jun Li, Huazhu Fu, Yu Kong, Yun Fu:
From Ensemble Clustering to Subspace Clustering: Cluster Structure Encoding. IEEE Trans. Neural Networks Learn. Syst. 34(5): 2670-2681 (2023) - [c55]Kejia Xu, Zeming Fei, Jianke Yu, Yu Kong, Xiaoyang Wang, Wenjie Zhang:
IFGNN: An Individual Fairness Awareness Model for Missing Sensitive Information Graphs. ADC 2023: 287-300 - [c54]Xinmiao Lin, Yikang Li, Jenhao Hsiao, Chiuman Ho, Yu Kong:
Catch Missing Details: Image Reconstruction with Frequency Augmented Variational Autoencoder. CVPR 2023: 1736-1745 - [c53]Wentao Bao, Lele Chen, Libing Zeng, Zhong Li, Yi Xu, Junsong Yuan, Yu Kong:
Uncertainty-aware State Space Transformer for Egocentric 3D Hand Trajectory Forecasting. ICCV 2023: 13656-13665 - [c52]Junwen Chen, Jie Zhu, Yu Kong:
ATM: Action Temporality Modeling for Video Question Answering. ACM Multimedia 2023: 4886-4895 - [c51]Xiwen Dengxiong, Yu Kong:
Ancestor Search: Generalized Open Set Recognition via Hyperbolic Side Information Learning. WACV 2023: 3992-4001 - [i24]Xinmiao Lin, Yikang Li, Jenhao Hsiao, Chiuman Ho, Yu Kong:
Catch Missing Details: Image Reconstruction with Frequency Augmented Variational Autoencoder. CoRR abs/2305.02541 (2023) - [i23]Wentao Bao, Lichang Chen, Heng Huang, Yu Kong:
Prompting Language-Informed Distribution for Compositional Zero-Shot Learning. CoRR abs/2305.14428 (2023) - [i22]Wentao Bao, Lele Chen, Libing Zeng, Zhong Li, Yi Xu, Junsong Yuan, Yu Kong:
Uncertainty-aware State Space Transformer for Egocentric 3D Hand Trajectory Forecasting. CoRR abs/2307.08243 (2023) - [i21]Junwen Chen, Jie Zhu, Yu Kong:
ATM: Action Temporality Modeling for Video Question Answering. CoRR abs/2309.02290 (2023) - [i20]Xinmiao Lin, Wentao Bao, Qi Yu, Yu Kong:
On Model Explanations with Transferable Neural Pathways. CoRR abs/2309.09887 (2023) - [i19]Wentao Bao, Qi Yu, Yu Kong:
Latent Space Energy-based Model for Fine-grained Open Set Recognition. CoRR abs/2309.10711 (2023) - 2022
- [j27]Yu Kong, Yun Fu:
Human Action Recognition and Prediction: A Survey. Int. J. Comput. Vis. 130(5): 1366-1401 (2022) - [c50]Krishna Prasad Neupane, Ervine Zheng, Yu Kong, Qi Yu:
A Dynamic Meta-Learning Model for Time-Sensitive Cold-Start Recommendations. AAAI 2022: 7868-7876 - [c49]Wentao Bao, Qi Yu, Yu Kong:
OpenTAL: Towards Open Set Temporal Action Localization. CVPR 2022: 2969-2979 - [c48]Shuai Li, Yu Kong, Hamid Rezatofighi:
Learning of Global Objective for Network Flow in Multi-Object Tracking. CVPR 2022: 8845-8855 - [c47]Junwen Chen, Gaurav Mittal, Ye Yu, Yu Kong, Mei Chen:
GateHUB: Gated History Unit with Background Suppression for Online Action Detection. CVPR 2022: 19893-19902 - [c46]Yu Kong, Chen Mu, Xinyu Chen:
Trajectory Optimization Model of Connected and Autonomous Vehicle at Unsignalized Intersections. MSN 2022: 713-717 - [c45]Xinyu Chen, Chen Mu, Yu Kong:
Trajectory Planning Model for Vehicle Platoons at Off-ramp. MSN 2022: 1007-1012 - [c44]Shangyu Xie, Han Wang, Yu Kong, Yuan Hong:
Universal 3-Dimensional Perturbations for Black-Box Attacks on Video Recognition Systems. SP 2022: 1390-1407 - [i18]Hanbin Hong, Yuan Hong, Yu Kong:
An Eye for an Eye: Defending against Gradient-based Attacks with Gradients. CoRR abs/2202.01117 (2022) - [i17]Wentao Bao, Qi Yu, Yu Kong:
OpenTAL: Towards Open Set Temporal Action Localization. CoRR abs/2203.05114 (2022) - [i16]Shuai Li, Yu Kong, Hamid Rezatofighi:
Learning of Global Objective for Network Flow in Multi-Object Tracking. CoRR abs/2203.16210 (2022) - [i15]Krishna Prasad Neupane, Ervine Zheng, Yu Kong, Qi Yu:
A Dynamic Meta-Learning Model for Time-Sensitive Cold-Start Recommendations. CoRR abs/2204.00970 (2022) - [i14]Junwen Chen, Gaurav Mittal, Ye Yu, Yu Kong, Mei Chen:
GateHUB: Gated History Unit with Background Suppression for Online Action Detection. CoRR abs/2206.04668 (2022) - 2021
- [j26]Anna Starynska, David W. Messinger, Yu Kong:
Revealing a history: palimpsest text separation with generative networks. Int. J. Document Anal. Recognit. 24(3): 181-195 (2021) - [j25]Yi Tian, Yaping Huang, Wanru Xu, Yu Kong:
Coupling Adversarial Graph Embedding for transductive zero-shot action recognition. Neurocomputing 452: 239-252 (2021) - [j24]Yulun Zhang, Yapeng Tian, Yu Kong, Bineng Zhong, Yun Fu:
Residual Dense Network for Image Restoration. IEEE Trans. Pattern Anal. Mach. Intell. 43(7): 2480-2495 (2021) - [j23]Yulun Zhang, Kunpeng Li, Kai Li, Gan Sun, Yu Kong, Yun Fu:
Accurate and Fast Image Denoising via Attention Guided Scaling. IEEE Trans. Image Process. 30: 6255-6265 (2021) - [c43]Xinmiao Lin, Wentao Bao, Matthew K. Wright, Yu Kong:
Gradient Frequency Modulation for Visually Explaining Video Understanding Models. BMVC 2021: 14 - [c42]Wentao Bao, Qi Yu, Yu Kong:
DRIVE: Deep Reinforced Accident Anticipation with Visual Explanation. ICCV 2021: 7599-7608 - [c41]Wentao Bao, Qi Yu, Yu Kong:
Evidential Deep Learning for Open Set Action Recognition. ICCV 2021: 13329-13338 - [c40]Xiwen Dengxiong, Wentao Bao, Yu Kong:
Multiple Instance Relational Learning for Video Anomaly Detection. IJCNN 2021: 1-8 - [c39]Yueqin Dun, Yu Kong:
The CT Liver Image Segmentation Based on RTV and GMM. MICAD 2021: 145-152 - [i13]Shangyu Xie, Han Wang, Yu Kong, Yuan Hong:
Universal 3-Dimensional Perturbations for Black-Box Attacks on Video Recognition Systems. CoRR abs/2107.04284 (2021) - [i12]Wentao Bao, Qi Yu, Yu Kong:
Evidential Deep Learning for Open Set Action Recognition. CoRR abs/2107.10161 (2021) - [i11]Wentao Bao, Qi Yu, Yu Kong:
DRIVE: Deep Reinforced Accident Anticipation with Visual Explanation. CoRR abs/2107.10189 (2021) - [i10]Xinmiao Lin, Wentao Bao, Matthew K. Wright, Yu Kong:
Gradient Frequency Modulation for Visually Explaining Video Understanding Models. CoRR abs/2111.01215 (2021) - [i9]Zhiqiang Tao, Yue Bai, Handong Zhao, Sheng Li, Yu Kong, Yun Fu:
Adversarial Memory Networks for Action Prediction. CoRR abs/2112.09875 (2021) - 2020
- [j22]He Wang, Tao Li, Xinming Cheng, Yu Kong, Yangmei Lei:
Dynamics Analysis of a Betel Nut Addiction Spreading Model on Scale-Free Networks. Complex. 2020: 3457068:1-3457068:13 (2020) - [j21]Yu Kong, Zhiqiang Tao, Yun Fu:
Adversarial Action Prediction Networks. IEEE Trans. Pattern Anal. Mach. Intell. 42(3): 539-553 (2020) - [j20]Yi Tian, Yu Kong, Qiuqi Ruan, Gaoyun An, Yun Fu:
Aligned Dynamic-Preserving Embedding for Zero-Shot Action Recognition. IEEE Trans. Circuits Syst. Video Technol. 30(6): 1597-1612 (2020) - [j19]Chengcheng Jia, Zhengming Ding, Yu Kong, Yun Fu:
Semi-Supervised Cross-Modality Action Recognition by Latent Tensor Transfer Learning. IEEE Trans. Circuits Syst. Video Technol. 30(9): 2801-2814 (2020) - [j18]Kunpeng Li, Yu Kong, Yun Fu:
Visual Object Tracking Via Multi-Stream Deep Similarity Learning Networks. IEEE Trans. Image Process. 29: 3311-3320 (2020) - [c38]Junwen Chen, Haiting Hao, Hanbin Hong, Yu Kong:
RIT-18: A Novel Dataset for Compositional Group Activity Understanding. CVPR Workshops 2020: 1488-1494 - [c37]Junwen Chen, Wentao Bao, Yu Kong:
Group Activity Prediction with Sequential Relational Anticipation Model. ECCV (21) 2020: 581-597 - [c36]Han Wang, Yuan Hong, Yu Kong, Jaideep Vaidya:
Publishing Video Data with Indistinguishable Objects. EDBT 2020: 323-334 - [c35]Hanbin Hong, Wentao Bao, Yuan Hong, Yu Kong:
Privacy Attributes-aware Message Passing Neural Network for Visual Privacy Attributes Classification. ICPR 2020: 4245-4251 - [c34]Chuanqi Zang, Mingtao Pei, Yu Kong:
Few-shot Human Motion Prediction via Learning Novel Motion Dynamics. IJCAI 2020: 846-852 - [c33]Wentao Bao, Qi Yu, Yu Kong:
Object-Aware Centroid Voting for Monocular 3D Object Detection. IROS 2020: 2197-2204 - [c32]Yu Kong, Yueqin Dun, Jiandong Meng, Liang Wang, Wanqiang Zhang, Xinchun Li:
A Novel Classification Method of Medical Image Segmentation Algorithm. MICAD 2020: 107-115 - [c31]Wentao Bao, Qi Yu, Yu Kong:
Uncertainty-based Traffic Accident Anticipation with Spatio-Temporal Relational Learning. ACM Multimedia 2020: 2682-2690 - [c30]Junwen Chen, Wentao Bao, Yu Kong:
Activity-driven Weakly-Supervised Spatio-Temporal Grounding from Untrimmed Videos. ACM Multimedia 2020: 3789-3797 - [i8]Wentao Bao, Qi Yu, Yu Kong:
Object-Aware Centroid Voting for Monocular 3D Object Detection. CoRR abs/2007.09836 (2020) - [i7]Wentao Bao, Qi Yu, Yu Kong:
Uncertainty-based Traffic Accident Anticipation with Spatio-Temporal Relational Learning. CoRR abs/2008.00334 (2020) - [i6]Junwen Chen, Wentao Bao, Yu Kong:
Group Activity Prediction with Sequential Relational Anticipation Model. CoRR abs/2008.02441 (2020)
2010 – 2019
- 2019
- [j17]Shuhui Jiang, Yu Kong, Yun Fu:
Deep Geo-Constrained Auto-Encoder for Non-Landmark GPS Estimation. IEEE Trans. Big Data 5(2): 120-133 (2019) - [c29]Zhichao Fu, Yu Kong, Yingbin Zheng, Hao Ye, Wenxin Hu, Jing Yang, Liang He:
Cascaded Detail-Preserving Networks for Super-Resolution of Document Images. ICDAR 2019: 240-245 - [i5]Zhichao Fu, Yingbin Zheng, Hao Ye, Yu Kong, Jing Yang, Liang He:
Edge-Aware Deep Image Deblurring. CoRR abs/1907.02282 (2019) - [i4]Zhichao Fu, Yu Kong, Yingbin Zheng, Hao Ye, Wenxin Hu, Jing Yang, Liang He:
Cascaded Detail-Preserving Networks for Super-Resolution of Document Images. CoRR abs/1911.10714 (2019) - 2018
- [j16]Yi Tian, Yu Kong, Qiuqi Ruan, Gaoyun An, Yun Fu:
Hierarchical and Spatio-Temporal Sparse Representation for Human Action Recognition. IEEE Trans. Image Process. 27(4): 1748-1762 (2018) - [j15]Yu Kong, Ming Shao, Kang Li, Yun Fu:
Probabilistic Low-Rank Multitask Learning. IEEE Trans. Neural Networks Learn. Syst. 29(3): 670-680 (2018) - [c28]Yu Kong, Shangqian Gao, Bin Sun, Yun Fu:
Action Prediction From Videos via Memorizing Hard-to-Predict Samples. AAAI 2018: 7000-7007 - [c27]Yulun Zhang, Yapeng Tian, Yu Kong, Bineng Zhong, Yun Fu:
Residual Dense Network for Image Super-Resolution. CVPR 2018: 2472-2481 - [c26]Gan Sun, Yang Cong, Yu Kong, Xiaowei Xu:
Clustered Lifelong Learning Via Representative Task Selection. ICDM 2018: 1248-1253 - [i3]Yulun Zhang, Yapeng Tian, Yu Kong, Bineng Zhong, Yun Fu:
Residual Dense Network for Image Super-Resolution. CoRR abs/1802.08797 (2018) - [i2]Yu Kong, Yun Fu:
Human Action Recognition and Prediction: A Survey. CoRR abs/1806.11230 (2018) - [i1]Yulun Zhang, Yapeng Tian, Yu Kong, Bineng Zhong, Yun Fu:
Residual Dense Network for Image Restoration. CoRR abs/1812.10477 (2018) - 2017
- [j14]Yu Kong, Yun Fu:
Max-Margin Heterogeneous Information Machine for RGB-D Action Recognition. Int. J. Comput. Vis. 123(3): 350-371 (2017) - [j13]Yu Kong, Zhengming Ding, Jun Li, Yun Fu:
Deeply Learned View-Invariant Features for Cross-View Action Recognition. IEEE Trans. Image Process. 26(6): 3028-3037 (2017) - [c25]Jun Li, Yu Kong, Yun Fu:
Sparse Subspace Clustering by Learning Approximation ℓ0 Codes. AAAI 2017: 2189-2195 - [c24]Yu Kong, Zhiqiang Tao, Yun Fu:
Deep Sequential Context Networks for Action Prediction. CVPR 2017: 3662-3670 - [c23]Kunpeng Li, Yu Kong, Yun Fu:
Multi-Stream Deep Similarity Learning Networks for Visual Tracking. IJCAI 2017: 2166-2172 - [c22]Wencang Zhao, Yu Kong, Zhengming Ding, Yun Fu:
Deep Active Learning Through Cognitive Information Parcels. ACM Multimedia 2017: 952-960 - 2016
- [j12]Yu Kong, Behnam Satarboroujeni, Yun Fu:
Learning hierarchical 3D kernel descriptors for RGB-D action recognition. Comput. Vis. Image Underst. 144: 14-23 (2016) - [j11]Yu Kong, Yun Fu:
Max-Margin Action Prediction Machine. IEEE Trans. Pattern Anal. Mach. Intell. 38(9): 1844-1858 (2016) - [j10]Dmitry Kit, Yu Kong, Yun Fu:
Efficient Image Geotagging Using Large Databases. IEEE Trans. Big Data 2(4): 325-338 (2016) - [j9]Yu Kong, Yun Fu:
Close Human Interaction Recognition Using Patch-Aware Models. IEEE Trans. Image Process. 25(1): 167-178 (2016) - [j8]Yu Kong, Yun Fu:
Discriminative Relational Representation Learning for RGB-D Action Recognition. IEEE Trans. Image Process. 25(6): 2856-2865 (2016) - [j7]Jun Li, Yu Kong, Handong Zhao, Jian Yang, Yun Fu:
Learning Fast Low-Rank Projection for Image Classification. IEEE Trans. Image Process. 25(10): 4803-4814 (2016) - [c21]Yue Wu, Jun Li, Yu Kong, Yun Fu:
Deep Convolutional Neural Network with Independent Softmax for Large Scale Face Recognition. ACM Multimedia 2016: 1063-1067 - 2015
- [c20]Yu Kong, Yun Fu:
Bilinear heterogeneous information machine for RGB-D action recognition. CVPR 2015: 1054-1062 - [c19]Yu Kong, Behnam Satarboroujeni, Yun Fu:
Hierarchical 3D kernel descriptors for action recognition using depth sequences. FG 2015: 1-6 - [c18]Yueqin Dun, Yu Kong:
The Comparisons Between the Improved Numerical Mode-Matching Method (NMM) and the Traditional NMM Using for Resistivity Logging. ISICA 2015: 256-263 - 2014
- [j6]Cuiwei Liu, Mingtao Pei, Xinxiao Wu, Yu Kong, Yunde Jia:
Learning a discriminative mid-level feature for action recognition. Sci. China Inf. Sci. 57(5): 1-13 (2014) - [j5]Yu Kong, Wei Liang, Zhen Dong, Yunde Jia:
Recognising human interaction from videos by a discriminative model. IET Comput. Vis. 8(4): 277-286 (2014) - [j4]Yu Kong, Yunde Jia, Yun Fu:
Interactive Phrases: Semantic Descriptionsfor Human Interaction Recognition. IEEE Trans. Pattern Anal. Mach. Intell. 36(9): 1775-1788 (2014) - [c17]Yu Kong, Yun Fu:
Modeling Supporting Regions for Close Human Interaction Recognition. ECCV Workshops (2) 2014: 29-44 - [c16]Yu Kong, Dmitry Kit, Yun Fu:
A Discriminative Model with Multiple Temporal Scales for Action Prediction. ECCV (5) 2014: 596-611 - [c15]Dmitry Kit, Yu Kong, Yun Fu:
LASOM: Location Aware Self-Organizing Map for discovering similar and unique visual features of geographical locations. IJCNN 2014: 263-270 - [c14]Chengcheng Jia, Yu Kong, Zhengming Ding, Yun Raymond Fu:
Latent Tensor Transfer Learning for RGB-D Action Recognition. ACM Multimedia 2014: 87-96 - 2013
- [c13]Jie Hu, Yu Kong, Yun Fu:
Activity recognition by learning structural and pairwise mid-level features using random forest. FG 2013: 1-6 - 2012
- [c12]Zhi Yang, Yu Kong, Yun Fu:
Contour-HOG: A Stub Feature based Level Set Method for Learning Object Contour. BMVC 2012: 1-11 - [c11]Yu Kong, Yunde Jia, Yun Fu:
Learning Human Interaction by Interactive Phrases. ECCV (1) 2012: 300-313 - [c10]Yu Kong, Yunde Jia:
A Hierarchical Model for Human Interaction Recognition. ICME 2012: 1-6 - [c9]Zhi Yang, Yu Kong, Yun Fu:
Decomposed contour prior for shape recognition. ICPR 2012: 767-770 - [c8]Cuiwei Liu, Yu Kong, Xinxiao Wu, Yunde Jia:
Action recognition with discriminative mid-level features. ICPR 2012: 3366-3369 - [c7]Yueqin Dun, Yu Kong, Wei Zhang:
Wavelet Application in Classification of Strata. ISICA 2012: 490-497 - 2011
- [j3]Yu Kong, Xiaoqin Zhang, Weiming Hu, Yunde Jia:
Adaptive learning codebook for action recognition. Pattern Recognit. Lett. 32(8): 1178-1186 (2011) - [c6]Zhen Dong, Yu Kong, Cuiwei Liu, Hongdong Li, Yunde Jia:
Recognizing human interaction by multiple features. ACPR 2011: 77-81 - 2010
- [c5]Xiaoqin Zhang, Weiming Hu, Xiangyang Wang, Yu Kong, Nianhua Xie, Hanzi Wang, Haibin Ling, Stephen J. Maybank:
A swarm intelligence based searching strategy for articulated 3D human body tracking. CVPR Workshops 2010: 45-50 - [c4]Qingdi Wei, Xiaoqin Zhang, Yu Kong, Weiming Hu, Haibin Ling:
Compact visual codebook for action recognition. ICIP 2010: 3805-3808
2000 – 2009
- 2009
- [j2]Xingwei Liu, Yu Kong, Sheng Zhang:
GCSVR: A new traffic forecasting method for wireless network. IEICE Electron. Express 6(19): 1387-1394 (2009) - [c3]Yu Kong, Weiming Hu, Xiaoqin Zhang, Hanzi Wang, Yunde Jia:
Learning Group Activity in Soccer Videos from Local Motion. ACCV (1) 2009: 103-112 - [c2]Qingdi Wei, Xiaoqin Zhang, Yu Kong, Weiming Hu, Haibin Ling:
Group Action Recognition Using Space-Time Interest Points. ISVC (2) 2009: 757-766 - 2008
- [j1]Qing-Bin Gao, Yu Kong, Zheng Fu, Jian Lu, Cheng Wu, Zhi-Chao Jin, Jia He:
EZ-Entry: A clinical data management system. Comput. Biol. Medicine 38(9): 1042-1044 (2008) - [c1]Yu Kong, Xiaoqin Zhang, Qingdi Wei, Weiming Hu, Yunde Jia:
Group action recognition in soccer videos. ICPR 2008: 1-4
Coauthor Index