Daizong Liu
I am currently a first-year (2021-now) Ph.D. student at Peking University, supervised by Prof. Wei Hu. I obtained my M.S. degree from School of Electronic Information and Communications at Huazhong University of Science and Technology (2018-2021), advised by Prof. Pan Zhou. My research interests focus on the computer vision and artificical intelligence, specifically on the topic of video object segmentation and temporal sentence grounding. Email: dzliu@stu.pku.edu.cn; dzliu@hust.edu.cn; daizongliu1996@gmail.com
Google Scholar / CV
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News
[2022.03] One paper has been accepted by ICME 2022.
[2021.12] Three papers have been accepted by AAAI 2022.
[2021.08] Two papers have been accepted by EMNLP 2021.
[2021.03] One paper has been accepted by CVPR 2021.
[2020.12] Two papers have been accepted by AAAI 2021.
[2020.09] One paper has been accepted by COLING 2020.
[2020.08] I finish my internship at ByteDance AI Lab (Beijing).
[2020.07] One paper has been accepted by ACMMM 2020.
[2020.06] One paper has been accepted by ICPR 2020.
[2020.05] One paper has been accepted by Neurocomputing.
[2019.03] One paper has been accepted by CVPR 2019 (Oral).
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Conference
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A Hybird Alignment Loss for Temporal Moment Localization with Natural Language [PDF] Chao Guo†, Daizong Liu†, Pan Zhou. IEEE International Conference on Multimedia & Expo (ICME), 2022
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Exploring Motion and Appearance Information for Temporal Sentence Grounding [PDF] Daizong Liu, Xiaoye Qu, Pan Zhou, Yang Liu. AAAI Conference on Artificial Intelligence (AAAI), 2022
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Memory-Guided Semantic Learning Network for Temporal Sentence Grounding [PDF] Daizong Liu, Xiaoye Qu, Xing Di, Yu Cheng, Zichuan Xu, Pan Zhou. AAAI Conference on Artificial Intelligence (AAAI), 2022
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Unsupervised Temporal Video Grounding with Deep Semantic Clustering [PDF] Daizong Liu, Xiaoye Qu, Yinzhen Wang, Xing Di, Kai Zou, Yu Cheng, Zichuan Xu, Pan Zhou. AAAI Conference on Artificial Intelligence (AAAI), 2022
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Progressively Guide to Attend: An Iterative Alignment Framework for Temporal Sentence Grounding [PDF] Daizong Liu, Xiaoye Qu, Pan Zhou. Conference on Empirical Methods in Natural Language Processing (EMNLP), 2021
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Adaptive Proposal Generation Network for Temporal Sentence Localization in Videos [PDF] Daizong Liu, Xiaoye Qu, Jianfeng Dong, Pan Zhou. Conference on Empirical Methods in Natural Language Processing (EMNLP), 2021
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Context-aware Biaffine Localizing Network for Temporal Sentence Grounding [PDF] Daizong Liu, Xiaoye Qu, Jianfeng Dong, Pan Zhou, Yu Cheng, Wei Wei, Zichuan Xu, Yulai Xie. IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 2021
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F2Net: Learning to Focus on the Foreground for Unsupervised Video Object Segmentation [PDF] Daizong Liu, Dongdong Yu, Changhu Wang, Pan Zhou. AAAI Conference on Artificial Intelligence (AAAI), 2021
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Spatiotemporal Graph Neural Network based Mask Reconstruction for Video Object Segmentation [PDF] Daizong Liu, Shuangjie Xu, Xiao-Yang Liu, Zichuan Xu, Wei Wei, Pan Zhou. AAAI Conference on Artificial Intelligence (AAAI), 2021
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Reasoning Step-by-Step: Temporal Sentence Localization in Videos via Deep Rectification-Modulation Network [PDF] Daizong Liu, Xiaoye Qu, Jianfeng Dong, Pan Zhou International Conference on Computational Linguistics (COLING), 2020
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Jointly Cross-and Self-Modal Graph Attention Network for Query-Based Moment Localization [PDF] Daizong Liu, Xiaoye Qu, Xiao-Yang Liu, Jianfeng Dong, Pan Zhou, Zichuan Xu. ACM International Conference on Multimedia (ACM MM), 2020
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Video-based Facial Expression Recognition using Graph Convolutional Networks [PDF] Daizong Liu, Hongting Zhang, Pan Zhou. International Conference on Pattern Recognition (ICPR), 2020
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MHP-VOS: Multiple hypotheses propagation for video object segmentation [PDF] Shuangjie Xu†, Daizong Liu†, Linchao Bao, Wei Liu, Pan Zhou. IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 2019
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Service
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Conference Reviewer: ACMMM2021, CVPR2022, IJCAI2022, ACMMM2022, ECCV2022
Journal Reviewer: TMM
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