ATM: Action Temporality Modeling for Video Question Answering
Junwen Chen, Jie Zhu, and Yu Kong
ACM Multimedia (ACM MM), 2023
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Uncertainty-aware State Space Transformer for Egocentric 3D Trajectory Forecasting
Wentao Bao, Lele Chen, Libing Zeng, Zhong Li, Yi Xu, Junsong Yuan, and Yu Kong
International Conference on Computer Vision (ICCV), 2023
Project arXiv

Catch Missing Details: Image Reconstruction with Frequency Augmented Variational Autoencoder
Xinmiao Lin, Yikang Li, Jenhao Hsiao, Chiu Man Ho, and Yu Kong
IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR), 2023
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Ancestor Search: Generalized Open Set Recognition via Hyperbolic Side Information Learning
Xiwen Dengxiong, Yu Kong
Winter Conference on Applications of Computer Vision (WACV), 2023
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GateHUB: Gated History Unit with Background Suppression for Online Action Detection
Junwen Chen, Gaurav Mittal, Ye Yu, Yu Kong, Mei Chen
IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR), 2022
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OpenTAL: Towards Open Set Temporal Action Localization
Wentao Bao, Qi Yu, Yu Kong
IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR), 2022 (Oral)
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Learning of Global Objective for Network Flow in Multi-Object Tracking
Shuai Li, Yu Kong, Hamid Rezatofighi
IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR), 2022
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Explainable video entailment with grounded visual evidence
Junwen Chen, Yu Kong
International Conference on Computer Vision (ICCV), 2021
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Evidential Deep Learning for Open Set Action Recognition
Wentao Bao, Qi Yu, Yu Kong
International Conference on Computer Vision (ICCV), 2021 (Oral)
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DRIVE: Deep Reinforced Accident Anticipation with Visual Explanation
Wentao Bao, Qi Yu, Yu Kong
International Conference on Computer Vision (ICCV), 2021
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Gradient Frequency Modulation for Visually Explaining Video Understanding Models
Xinmiao Lin, Wentao Bao, Matthew Wright, Yu Kong
British Machine Vision Conference (BMVC), 2021
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Multiple Instance Relational Learning for Video Anomaly Detection
Xiwen Dengxiong, Wentao Bao, Yu Kong
International Joint Conference on Neural Network (IJCNN), 2021
DOI

Few-shot human motion prediction via learning novel motion dynamics
Chuanqi Zang, Mingtao Pei, Yu Kong
International Conference on International Joint Conferences on Artificial Intelligence (IJCAI), 2021
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Revealing a history: palimpsest text separation with generative networks
Anna Starynska, David Messinger, Yu Kong
International Journal on Document Analysis and Recognition (IJDAR), 2021
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Group Activity Prediction with Sequential Relational Anticipation Model
Junwen Chen, Wentao Bao, Yu Kong
European Conference on Computer Vision (ECCV), 2020
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Activity-driven Weakly-Supervised Spatio-Temporal Grounding from Untrimmed Videos
Junwen Chen, Wentao Bao, Yu Kong
The 28th ACM International Conference on Multimedia (MM), 2020
DOI

Uncertainty-based Traffic Accident Anticipation with Spatio-Temporal Relational Learning
Wentao Bao, Qi Yu, Yu Kong
The 28th ACM International Conference on Multimedia (MM), 2020
DOI arXiv Code Dataset

RIT-18: A novel dataset for compositional group activity understanding
Junwen Chen, Haiting Hao, Hanbin Hong, Yu Kong
IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR Workshop), 2020
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Object-Aware Centroid Voting for Monocular 3D Object Detection
Wentao Bao, Qi Yu, Yu Kong
IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS), 2020
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Privacy Attributes-aware Message Passing Neural Network for Visual Privacy Attributes Classification
Hanbin Hong, Wentao Bao, Yuan Hong, Yu Kong
International Conference on Pattern Recognition (ICPR), 2020
DOI