Publications

Generating Structured Pseudo Labels for Noise-resistant Zero-shot Video Sentence Localization
Video sentence localization aims to locate moments in an unstructured video according to a given natural language query. A main …
Generating Structured Pseudo Labels for Noise-resistant Zero-shot Video Sentence Localization
Minghang Zheng , Shaogang Gong , Hailin Jin , Yuxin Peng , Yang Liu
July 2023 Association for Computational Linguistics ACL
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Phrase-Level Temporal Relationship Mining for Temporal Sentence Localization
In this paper, we address the problem of video temporal sentence localization, which aims to localize a target moment from videos …
Phrase-Level Temporal Relationship Mining for Temporal Sentence Localization
Minghang Zheng , Sizhe Li , Qingchao Chen , Yuxin Peng , Yang Liu
February 2023 The Thirty-Seventh AAAI Conference on Artificial Intelligence AAAI oral
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Weakly Supervised Temporal Sentence Grounding with Gaussian-based Contrastive Proposal Learning
Temporal sentence grounding aims to detect the most salient moment corresponding to the natural language query from untrimmed videos. …
Weakly Supervised Temporal Sentence Grounding with Gaussian-based Contrastive Proposal Learning
Minghang Zheng , Yanjie Huang , Qingchao Chen , Yuxin Peng , Yang Liu
Peking University
March 2022 Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition CVPR
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Weakly Supervised Video Moment Localization with Contrastive Negative Sample Mining
Video moment localization aims at localizing the video segments which are most related to the given free-form natural language query. …
Weakly Supervised Video Moment Localization with Contrastive Negative Sample Mining
Minghang Zheng , Yanjie Huang , Qingchao Chen , Yang Liu
Peking University
February 2022 The AAAI Conference on Artificial Intelligence AAAI
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End-to-End Object Detection with Adaptive Clustering Transformer
End-to-end Object Detection with Transformer (DETR) performs object detection with Transformer and achieves comparable performance with …
End-to-End Object Detection with Adaptive Clustering Transformer
Minghang Zheng , Peng Gao , Renrui Zhang , Kunchang Li , Hongsheng Li , Hao Dong
November 2021 British Machine Vision Conference BMVC oral
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Fast Convergence of DETR with Spatially Modulated Co-Attention
The recently proposed Detection Transformer (DETR) model successfully applies Transformer to objects detection and achieves comparable …
Fast Convergence of DETR with Spatially Modulated Co-Attention
Peng Gao , Minghang Zheng , Xiaogang Wang , Jifeng Dai , Honghsneg Li
October 2021 International Conference on Computer Vision ICCV
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