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ORCIDYu Kong 0001
Yu Kong Golisano
Person information
- affiliation: Michigan State University, East Lansing, MI, USA
- affiliation (former): Rochester Institute of Technology, NY, USA
- affiliation (former): State University of New York at Buffalo, NY, USA
- affiliation (former): Northeastern University, Boston, MA, USA
- affiliation (former): Beijing Institute of Technology, Institute of Automation, National Laboratory of Pattern Recognition, China
Other persons with the same name
- Yu Kong — disambiguation page
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2020 – today
- 2024
[c53]Wentao Bao
, Lichang Chen, Heng Huang, Yu Kong:
Prompting Language-Informed Distribution for Compositional Zero-Shot Learning. ECCV (14) 2024: 107-123- [c52]Yifan Li, Anh Dao, Wentao Bao, Zhen Tan, Tianlong Chen, Huan Liu, Yu Kong:
Facial Affective Behavior Analysis with Instruction Tuning. ECCV (18) 2024: 165-186 - [c51]Yuxiao Chen, Kai Li, Wentao Bao, Deep Patel, Yu Kong, Martin Renqiang Min, Dimitris N. Metaxas:
Learning to Localize Actions in Instructional Videos with LLM-Based Multi-pathway Text-Video Alignment. ECCV (82) 2024: 193-210 - [c50]Zixu Cheng, Yujiang Pu, Shaogang Gong, Parisa Kordjamshidi, Yu Kong:
SHINE: Saliency-Aware Hierarchical Negative Ranking for Compositional Temporal Grounding. ECCV (19) 2024: 398-416 - [c49]Shafkat Farabi, Tharindu Ranasinghe, Diptesh Kanojia, Yu Kong, Marcos Zampieri:
A Survey of Multimodal Sarcasm Detection. IJCAI 2024: 8020-8028 - [i28]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) - [i27]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) - [i26]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) - [i25]Yuxiao Chen, Kai Li, Wentao Bao, Deep Patel, Yu Kong, Martin Renqiang Min, Dimitris N. Metaxas:
Learning to Localize Actions in Instructional Videos with LLM-Based Multi-Pathway Text-Video Alignment. CoRR abs/2409.16145 (2024) - [i24]Shafkat Farabi, Tharindu Ranasinghe, Diptesh Kanojia, Yu Kong, Marcos Zampieri:
A Survey of Multimodal Sarcasm Detection. CoRR abs/2410.18882 (2024) - [i23]Wentao Bao, Kai Li, Yuxiao Chen, Deep Patel, Martin Renqiang Min, Yu Kong:
Exploiting VLM Localizability and Semantics for Open Vocabulary Action Detection. CoRR abs/2411.10922 (2024) - 2023
- [j25]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) - [c48]Xinmiao Lin, Yikang Li, Jenhao Hsiao, Chiuman Ho, Yu Kong:
Catch Missing Details: Image Reconstruction with Frequency Augmented Variational Autoencoder. CVPR 2023: 1736-1745 - [c47]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 - [c46]Junwen Chen, Jie Zhu, Yu Kong:
ATM: Action Temporality Modeling for Video Question Answering. ACM Multimedia 2023: 4886-4895 - [c45]Xiwen Dengxiong, Yu Kong:
Ancestor Search: Generalized Open Set Recognition via Hyperbolic Side Information Learning. WACV 2023: 3992-4001 - [i22]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) - [i21]Wentao Bao, Lichang Chen, Heng Huang, Yu Kong:
Prompting Language-Informed Distribution for Compositional Zero-Shot Learning. CoRR abs/2305.14428 (2023) - [i20]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) - [i19]Junwen Chen, Jie Zhu, Yu Kong:
ATM: Action Temporality Modeling for Video Question Answering. CoRR abs/2309.02290 (2023) - [i18]Xinmiao Lin, Wentao Bao, Qi Yu, Yu Kong:
On Model Explanations with Transferable Neural Pathways. CoRR abs/2309.09887 (2023) - [i17]Wentao Bao, Qi Yu, Yu Kong:
Latent Space Energy-based Model for Fine-grained Open Set Recognition. CoRR abs/2309.10711 (2023) - 2022
- [j24]Yu Kong, Yun Fu:
Human Action Recognition and Prediction: A Survey. Int. J. Comput. Vis. 130(5): 1366-1401 (2022) - [c44]Krishna Prasad Neupane, Ervine Zheng, Yu Kong, Qi Yu:
A Dynamic Meta-Learning Model for Time-Sensitive Cold-Start Recommendations. AAAI 2022: 7868-7876 - [c43]Wentao Bao, Qi Yu, Yu Kong:
OpenTAL: Towards Open Set Temporal Action Localization. CVPR 2022: 2969-2979 - [c42]Shuai Li, Yu Kong, Hamid Rezatofighi:
Learning of Global Objective for Network Flow in Multi-Object Tracking. CVPR 2022: 8845-8855 - [c41]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 - [c40]Shangyu Xie, Han Wang, Yu Kong, Yuan Hong:
Universal 3-Dimensional Perturbations for Black-Box Attacks on Video Recognition Systems. SP 2022: 1390-1407 - [i16]Hanbin Hong, Yuan Hong, Yu Kong:
An Eye for an Eye: Defending against Gradient-based Attacks with Gradients. CoRR abs/2202.01117 (2022) - [i15]Wentao Bao, Qi Yu, Yu Kong:
OpenTAL: Towards Open Set Temporal Action Localization. CoRR abs/2203.05114 (2022) - [i14]Shuai Li, Yu Kong, Hamid Rezatofighi:
Learning of Global Objective for Network Flow in Multi-Object Tracking. CoRR abs/2203.16210 (2022) - [i13]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) - [i12]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
- [j23]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) - [j22]Yi Tian, Yaping Huang, Wanru Xu, Yu Kong:
Coupling Adversarial Graph Embedding for transductive zero-shot action recognition. Neurocomputing 452: 239-252 (2021) - [j21]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) - [j20]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) - [c39]Xinmiao Lin, Wentao Bao, Matthew K. Wright, Yu Kong:
Gradient Frequency Modulation for Visually Explaining Video Understanding Models. BMVC 2021: 14 - [c38]Junwen Chen, Yu Kong Golisano:
Explainable Video Entailment with Grounded Visual Evidence. ICCV 2021: 2001-2010 - [c37]Wentao Bao, Qi Yu, Yu Kong:
DRIVE: Deep Reinforced Accident Anticipation with Visual Explanation. ICCV 2021: 7599-7608 - [c36]Wentao Bao, Qi Yu, Yu Kong:
Evidential Deep Learning for Open Set Action Recognition. ICCV 2021: 13329-13338 - [c35]Xiwen Dengxiong, Wentao Bao, Yu Kong:
Multiple Instance Relational Learning for Video Anomaly Detection. IJCNN 2021: 1-8 - [i11]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) - [i10]Wentao Bao, Qi Yu, Yu Kong:
Evidential Deep Learning for Open Set Action Recognition. CoRR abs/2107.10161 (2021) - [i9]Wentao Bao, Qi Yu, Yu Kong:
DRIVE: Deep Reinforced Accident Anticipation with Visual Explanation. CoRR abs/2107.10189 (2021) - [i8]Xinmiao Lin, Wentao Bao, Matthew K. Wright, Yu Kong:
Gradient Frequency Modulation for Visually Explaining Video Understanding Models. CoRR abs/2111.01215 (2021) - [i7]Zhiqiang Tao, Yue Bai, Handong Zhao, Sheng Li, Yu Kong, Yun Fu:
Adversarial Memory Networks for Action Prediction. CoRR abs/2112.09875 (2021) - 2020
- [j19]Yu Kong, Zhiqiang Tao, Yun Fu:
Adversarial Action Prediction Networks. IEEE Trans. Pattern Anal. Mach. Intell. 42(3): 539-553 (2020) - [j18]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) - [j17]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) - [j16]Kunpeng Li, Yu Kong, Yun Fu:
Visual Object Tracking Via Multi-Stream Deep Similarity Learning Networks. IEEE Trans. Image Process. 29: 3311-3320 (2020) - [c34]Junwen Chen, Haiting Hao, Hanbin Hong, Yu Kong:
RIT-18: A Novel Dataset for Compositional Group Activity Understanding. CVPR Workshops 2020: 1488-1494 - [c33]Junwen Chen, Wentao Bao, Yu Kong:
Group Activity Prediction with Sequential Relational Anticipation Model. ECCV (21) 2020: 581-597 - [c32]Han Wang, Yuan Hong, Yu Kong, Jaideep Vaidya:
Publishing Video Data with Indistinguishable Objects. EDBT 2020: 323-334 - [c31]Hanbin Hong, Wentao Bao, Yuan Hong, Yu Kong:
Privacy Attributes-aware Message Passing Neural Network for Visual Privacy Attributes Classification. ICPR 2020: 4245-4251 - [c30]Chuanqi Zang, Mingtao Pei, Yu Kong:
Few-shot Human Motion Prediction via Learning Novel Motion Dynamics. IJCAI 2020: 846-852 - [c29]Wentao Bao, Qi Yu, Yu Kong:
Object-Aware Centroid Voting for Monocular 3D Object Detection. IROS 2020: 2197-2204 - [c28]Wentao Bao, Qi Yu, Yu Kong:
Uncertainty-based Traffic Accident Anticipation with Spatio-Temporal Relational Learning. ACM Multimedia 2020: 2682-2690 - [c27]Junwen Chen, Wentao Bao, Yu Kong:
Activity-driven Weakly-Supervised Spatio-Temporal Grounding from Untrimmed Videos. ACM Multimedia 2020: 3789-3797 - [i6]Wentao Bao, Qi Yu, Yu Kong:
Object-Aware Centroid Voting for Monocular 3D Object Detection. CoRR abs/2007.09836 (2020) - [i5]Wentao Bao, Qi Yu, Yu Kong:
Uncertainty-based Traffic Accident Anticipation with Spatio-Temporal Relational Learning. CoRR abs/2008.00334 (2020) - [i4]Junwen Chen, Wentao Bao, Yu Kong:
Group Activity Prediction with Sequential Relational Anticipation Model. CoRR abs/2008.02441 (2020)
2010 – 2019
- 2019
- [j15]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) - 2018
- [j14]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) - [j13]Yu Kong, Ming Shao, Kang Li, Yun Fu:
Probabilistic Low-Rank Multitask Learning. IEEE Trans. Neural Networks Learn. Syst. 29(3): 670-680 (2018) - [c26]Yu Kong, Shangqian Gao, Bin Sun, Yun Fu:
Action Prediction From Videos via Memorizing Hard-to-Predict Samples. AAAI 2018: 7000-7007 - [c25]Yulun Zhang, Yapeng Tian, Yu Kong, Bineng Zhong, Yun Fu:
Residual Dense Network for Image Super-Resolution. CVPR 2018: 2472-2481 - [c24]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
- [j12]Yu Kong, Yun Fu:
Max-Margin Heterogeneous Information Machine for RGB-D Action Recognition. Int. J. Comput. Vis. 123(3): 350-371 (2017) - [j11]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) - [c23]Jun Li, Yu Kong, Yun Fu:
Sparse Subspace Clustering by Learning Approximation ℓ0 Codes. AAAI 2017: 2189-2195 - [c22]Yu Kong, Zhiqiang Tao, Yun Fu:
Deep Sequential Context Networks for Action Prediction. CVPR 2017: 3662-3670 - [c21]Kunpeng Li, Yu Kong, Yun Fu:
Multi-Stream Deep Similarity Learning Networks for Visual Tracking. IJCAI 2017: 2166-2172 - [c20]Wencang Zhao, Yu Kong, Zhengming Ding, Yun Fu:
Deep Active Learning Through Cognitive Information Parcels. ACM Multimedia 2017: 952-960 - 2016
- [j10]Yu Kong, Behnam Satarboroujeni, Yun Fu:
Learning hierarchical 3D kernel descriptors for RGB-D action recognition. Comput. Vis. Image Underst. 144: 14-23 (2016) - [j9]Yu Kong, Yun Fu:
Max-Margin Action Prediction Machine. IEEE Trans. Pattern Anal. Mach. Intell. 38(9): 1844-1858 (2016) - [j8]Dmitry Kit, Yu Kong, Yun Fu:
Efficient Image Geotagging Using Large Databases. IEEE Trans. Big Data 2(4): 325-338 (2016) - [j7]Yu Kong, Yun Fu:
Close Human Interaction Recognition Using Patch-Aware Models. IEEE Trans. Image Process. 25(1): 167-178 (2016) - [j6]Yu Kong, Yun Fu:
Discriminative Relational Representation Learning for RGB-D Action Recognition. IEEE Trans. Image Process. 25(6): 2856-2865 (2016) - [j5]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) - [c19]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
- [c18]Yu Kong, Yun Fu:
Bilinear heterogeneous information machine for RGB-D action recognition. CVPR 2015: 1054-1062 - [c17]Yu Kong, Behnam Satarboroujeni, Yun Fu:
Hierarchical 3D kernel descriptors for action recognition using depth sequences. FG 2015: 1-6 - 2014
- [j4]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) - [j3]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) - [j2]Yu Kong, Yunde Jia, Yun Fu:
Interactive Phrases: Semantic Descriptionsfor Human Interaction Recognition. IEEE Trans. Pattern Anal. Mach. Intell. 36(9): 1775-1788 (2014) - [c16]Yu Kong, Yun Fu:
Modeling Supporting Regions for Close Human Interaction Recognition. ECCV Workshops (2) 2014: 29-44 - [c15]Yu Kong, Dmitry Kit, Yun Fu:
A Discriminative Model with Multiple Temporal Scales for Action Prediction. ECCV (5) 2014: 596-611 - [c14]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 - [c13]Chengcheng Jia, Yu Kong, Zhengming Ding, Yun Raymond Fu:
Latent Tensor Transfer Learning for RGB-D Action Recognition. ACM Multimedia 2014: 87-96 - 2013
- [c12]Jie Hu, Yu Kong, Yun Fu:
Activity recognition by learning structural and pairwise mid-level features using random forest. FG 2013: 1-6 - 2012
- [c11]Zhi Yang, Yu Kong, Yun Fu:
Contour-HOG: A Stub Feature based Level Set Method for Learning Object Contour. BMVC 2012: 1-11 - [c10]Yu Kong, Yunde Jia, Yun Fu:
Learning Human Interaction by Interactive Phrases. ECCV (1) 2012: 300-313 - [c9]Yu Kong, Yunde Jia:
A Hierarchical Model for Human Interaction Recognition. ICME 2012: 1-6 - [c8]Zhi Yang, Yu Kong, Yun Fu:
Decomposed contour prior for shape recognition. ICPR 2012: 767-770 - [c7]Cuiwei Liu, Yu Kong, Xinxiao Wu, Yunde Jia:
Action recognition with discriminative mid-level features. ICPR 2012: 3366-3369 - 2011
- [j1]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
- [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
- [c1]Yu Kong, Xiaoqin Zhang, Qingdi Wei, Weiming Hu, Yunde Jia:
Group action recognition in soccer videos. ICPR 2008: 1-4
Coauthor Index
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