Peijun Bao

According to our database, Peijun Bao authored at least 16 papers between 2017 and 2026.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of four.

2026

ActivityForensics: A Comprehensive Benchmark for Localizing Manipulated Activity in Videos.

Peijun Bao, Anwei Luo, Gang Pan, Alex C. Kot, Xudong Jiang

CoRR, April, 2026

SAKED: Mitigating Hallucination in Large Vision-Language Models via Stability-Aware Knowledge Enhanced Decoding.

Zhaoxu Li, Chenqi Kong, Peijun Bao, Song Xia, Yi Tu, Yi Yu, Xinghao Jiang, Xudong Jiang

CoRR, February, 2026

Learning Action Distribution Flow for Open-Set Temporal Action Segmentation.

Runzhong Zhang, Fengrui Tian, Yueqi Duan, Chen Cai, Ziwei Wang, Weipeng Hu, Peijun Bao, Yang Chen, Suchen Wang, Yap-Peng Tan

IEEE Trans. Image Process., 2026

MoE-FFD: Mixture of Experts for Generalized and Parameter-Efficient Face Forgery Detection.

Chenqi Kong, Anwei Luo, Peijun Bao, Yi Yu, Haoliang Li, Zengwei Zheng, Shiqi Wang, Alex C. Kot

IEEE Trans. Dependable Secur. Comput., 2026

2025

Vid-Group: Temporal Video Grounding Pretraining from Unlabeled Videos in the Wild.

Peijun Bao, Chenqi Kong, Siyuan Yang, Zihao Shao, Xinghao Jiang, Boon Poh Ng, Meng Hwa Er, Alex ChiChung Kot

Proceedings of the IEEE/CVF International Conference on Computer Vision, 2025

2024

Vid-Morp: Video Moment Retrieval Pretraining from Unlabeled Videos in the Wild.

Peijun Bao, Chenqi Kong, Zihao Shao, Boon Poh Ng, Meng Hwa Er, Alex C. Kot

CoRR, 2024

SimBase: A Simple Baseline for Temporal Video Grounding.

Peijun Bao, Alex C. Kot

CoRR, 2024

Open-Set Deepfake Detection: A Parameter-Efficient Adaptation Method with Forgery Style Mixture.

Chenqi Kong, Anwei Luo, Peijun Bao, Haoliang Li, Renjie Wan, Zengwei Zheng, Anderson Rocha, Alex C. Kot

CoRR, 2024

E3M: Zero-Shot Spatio-Temporal Video Grounding with Expectation-Maximization Multimodal Modulation.

Peijun Bao, Zihao Shao, Wenhan Yang, Boon Poh Ng, Alex C. Kot

Proceedings of the Computer Vision - ECCV 2024, 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 C. Kot

Proceedings of the Thirty-Eighth AAAI Conference on Artificial Intelligence, 2024

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 C. Kot

Proceedings of the Thirty-Eighth AAAI Conference on Artificial Intelligence, 2024

2023

Cross-Modal Label Contrastive Learning for Unsupervised Audio-Visual Event Localization.

Peijun Bao, Wenhan Yang, Boon Poh Ng, Meng Hwa Er, Alex C. Kot

Proceedings of the Thirty-Seventh AAAI Conference on Artificial Intelligence, 2023

2022

Learning Sample Importance for Cross-Scenario Video Temporal Grounding.

Peijun Bao, Yadong Mu

Proceedings of the ICMR '22: International Conference on Multimedia Retrieval, Newark, NJ, USA, June 27, 2022

2021

Learning 3-D Human Pose Estimation from Catadioptric Videos.

Chenchen Liu, Yongzhi Li, Kangqi Ma, Duo Zhang, Peijun Bao, Yadong Mu

Proceedings of the Thirtieth International Joint Conference on Artificial Intelligence, 2021

Dense Events Grounding in Video.

Peijun Bao, Qian Zheng, Yadong Mu

Proceedings of the Thirty-Fifth AAAI Conference on Artificial Intelligence, 2021

2017

Tiny hand gesture recognition without localization via a deep convolutional network.

Peijun Bao, Ana I. Maqueda, Carlos R. del-Blanco, Narciso García

IEEE Trans. Consumer Electron., 2017