About Me

I am Peijun Bao (包培钧), currently a PhD student at RoseLab@NTU supervised by Prof. Alex Kot (IEEE Fellow). Additionally, I collaborate closely with Prof. Yadong Mu (PKU), Prof. Zheng Qian (ZJU), Prof. Yong Xia (NPU) , and Dr. Yang Wenhan (Pengcheng Lab).

My research interests lie in joint understanding of video and language.

News

• [2023.12] Two paper on video grounding is accepted by AAAI 2024.
• [2022.12] One paper on video localization is accepted by AAAI 2023.
• [2022.01] One paper on video grounding is accepted by ICMR 2022.
• [2021.01] One paper on video grounding is accepted by AAAI 2021.
  
  

Publications

Omnipotent Distillation with LLMs for Weakly-Supervised Natural Language Video Localization: When Divergence Meets Consistency,
Peijun Bao, Zihao Shao, Wenhan Yang, Boon Poh Ng, Meng Hwa Er, Alex Kot,
AAAI 2024

Local-Global Multi-Modal Distillation for Weakly-Supervised Temporal Video Grounding,
Peijun Bao, Yong Xia, Wenhan Yang, Boon Poh Ng, Meng Hwa Er, Alex Kot,
AAAI 2024

Cross-Modal Label Contrastive Learning for Unsupervised Audio-Visual Event Localization,
Peijun Bao, Wenhan Yang, Boon Poh Ng, Meng Hwa Er, Alex Kot,
AAAI 2023 (oral) [pdf]

Dense Events Grounding in Video,
Peijun Bao, Qian Zheng, Yadong Mu,
AAAI 2021 (oral) [pdf] [code]
Note: we propose a new task i.e. video paragraph grounding, and [CVPR23], [CVPR22], and [EMNLP22] follow our task.

Learning Sample Importance for Cross-Scenario Video Temporal Grounding,
Peijun Bao, Yadong Mu,
ICMR 2022 (oral) [pdf]

Learning 3-D Human Pose Estimation from Catadioptric Videos,
Chenchen Liu, Yongzhi Li, Kangqi Ma, Duo Zhang, Peijun Bao, Yadong Mu,
IJCAI 2021 [pdf]