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News

2026

Qilang Ye, Wei Zeng, Meng Liu^*, Jie Zhang, Yupeng Hu, Zitong Yu, Yu Zhou, “When Eyes and Ears Disagree: Can MLLMs Discern Audio-Visual Confusion?”, AAAI, 2026.Code
Lian He, Meng Liu^*, Qilang Ye, Yu Zhou, Xiang Deng, Gangyi Ding, “Task-Aware 3D Affordance Segmentation via 2D Guidance and Geometric Refinement”, AAAI, 2026.Code
Qiaohui Chu, Haoyu Zhang, Meng Liu^*, Yisen Feng, Haoxiang Shi, Liqiang Nie, “Intention-Guided Cognitive Reasoning for Egocentric Long-Term Action Anticipation”, AAAI, 2026.Code
Haoyu Zhang, Qiaohui Chu, Meng Liu^*, Haoxiang Shi, Yaowei Wang, Liqiang Nie, “Exo2Ego: Exocentric Knowledge Guided MLLM for Egocentric Video Understanding”, AAAI, 2026.Code
Yunxiao Wang, Meng Liu^*, Wenqi Liu, Xuemeng Song, Bin Wen, Fan Yang, Tingting Gao, Di Zhang, Guorui Zhou, Liqiang Nie, “TIME: Temporal-Sensitive Multi-Dimensional Instruction Tuning and Robust Benchmarking for Video-LLMs”, AAAI, 2026. (Oral)
Yichen Zeng, Hebaixu Wang, Meng Liu^*, Yu Zhou, Chen Gao, Kehan Chen, Gongping Huang, “Semantic Audio-Visual Navigation in Continuous Environments”, CVPR, 2026.Code

2025

Yishan Zou, Chris Nugent, Matthew Burns, Shengli Wu, Lei Zhu, Meng Liu^*, “Adaptive Attention-based Unsupervised Domain Adaptation for Egocentric Action Recognition”, IEEE TCSVT, 2025.Code
Kejie Wang, Xuemeng Song, Meng Liu, Jin Yuan, Weili Guan, “ViMAEdit: Vision-guided and Mask-enhanced Adaptive Editing Algorithm for Prompt-based Image Editing”, IEEE TCSVT, 2025.Code
Jianlong Wu, Wei Liu, Ye Liu, Meng Liu^*, Liqiang Nie, Zhouchen Lin, Chang Wen Chen, “A Survey on Video Temporal Grounding with Multimodal Large Language Model”, IEEE TPAMI, 2025.Code
Haoyu Zhang, Meng Liu^*, Zaijing Li, Haokun Wen, Weili Guan, Yaowei Wang, Liqiang Nie, “Spatial Understanding from Videos: Structured Prompts Meet Simulation Data”, NeurIPS, 2025. (Spotlight)Code
Meng Liu, Yupeng Hu, Weili Guan, Liqiang Nie, “Intelligent and Efficient Video Moment Localization”, Springer Nature, 2025.
Bohan Hou, Haoqiang Lin, Xuemeng Song, Haokun Wen, Meng Liu, Yupeng Hu, Xiangyu Zhao, “FiRE: Enhancing MLLMs with Fine-Grained Context Learning for Complex Image Retrieval”, SIGIR, 2025.
Yisen Feng, Haoyu Zhang, Meng Liu^*, Weili Guan, Liqiang Nie, “Object-Shot Enhanced Grounding Network for Egocentric Video”, CVPR, 2025.Code
Kun Ouyang, Liqiang Jing, Xuemeng Song, Meng Liu, Yupeng Hu, Liqiang Nie, “Sentiment-enhanced graph-based sarcasm explanation in dialogue”, IEEE TMM, 2025.Code

2024

Yuanyuan Wang, Meng Liu^*, Xuemeng Song, Liqiang Nie, “TR-Adapter: Parameter-Efficient Transfer Learning for Video Question Answering”, IEEE TMM, 2024.
Zhicheng Sheng, Fan Liu, Meng Liu, Feng Zheng, Liqiang Nie, “Open-set Synthesis for Free-viewpoint Human Body Reenactment of Novel Poses”, IEEE TCSVT, 2024.
Meng Liu^*, Da Li, Yongqiang Li, Xuemeng Song, Liqiang Nie, “Audio-Semantic Enhanced Pose-Driven Talking Head Generation”, IEEE TCSVT, 2024.
Yuanyuan Wang, Meng Liu^*, Xuemeng Song, Liqiang Nie, “Harnessing Representative Spatial-Temporal Information for Video Question Answering”, ACM ToMM, 2024.Code
Haoyu Zhang, Meng Liu^*, Zixin Liu, Xuemeng Song, Yaowei Wang, Liqiang Nie, “Multi-Factor Adaptive Vision Selection for Egocentric Video Question Answering”, ICML, 2024.Code
Haitao Shi, Meng Liu^*, Xiaoxuan Mu, Xuemeng Song, Yupeng Hu, and Liqiang Nie, “Breaking Through the Noisy Correspondence: A Robust Model for Image-Text Matching”, ACM TOIS, 2024.Code
Haoqiang Lin, Haokun Wen, Xuemeng Song, Meng Liu, Yupeng Hu, Liqiang Nie, “Breaking Through the Noisy Correspondence: A Robust Model for Image-Text Matching”, ACM SIGIR , 2024.Code
Panpan Zhang, Meng Liu^*, Xuemeng Song, Da Cao, Zan Gao, Liqiang Nie, “Universal relocalizer for weakly supervised referring expression grounding”, ACM ToMM , 2024.

2023

Meng Liu, Meng Jin Qi, Zhen Yu Zhan, Lei Gang Qu, Xiu Shan Nie, Li Qiang Nie, “A Survey on Deeр Learning Based Image-Text Matching”, Jisuanji Xuebao/Chinese Journal of Computers, 2023.
Yunxiao Wang, Meng Liu^*, Zhe Li, Yupeng Hu, Xin Luo, Liqiang Nie, “Unlocking the power of multimodal learning for emotion recognition in conversation”, ACM MM, 2023.Code
Meng Liu, Fenglei Zhang, Xin Luo, Fan Liu, Yinwei Wei, Liqiang Nie, “Advancing video question answering with a multi-modal and multi-layer question enhancement network”, ACM MM, 2023.
Zhicheng Sheng, Liqiang Nie, Meng Liu, Yinwei Wei, Zan Gao, “Toward fine-grained talking face generation”, IEEE TIP, 2023.
Haoyu Zhang, Meng Liu^*, Yuhong Li, Ming Yan, Zan Gao, Xiaojun Chang, Liqiang Nie, “Attribute-guided collaborative learning for partial person re-identification”, IEEE TPAMI, 2023.
Meng Liu, Di Zhou, Jie Guo, Xin Luo, Zan Gao, Liqiang Nie, “Semantic-aware contrastive learning with proposal suppression for video semantic role grounding”, IEEE TCSVT, 2023.
Yuanyuan Wang, Meng Liu^*, Jianlong Wu, Liqiang Nie, “Multi-granularity interaction and integration network for video question answering”, IEEE TCSVT , 2023.
Shuyan Zhai, Meng Liu^*, Yongqiang Li, Zan Gao, Lei Zhu, Liqiang Nie, “Talking face generation with audio-deduced emotional landmarks”, IEEE TNNLS , 2023.

Area Chair for conferences, such as ACM MM, ICME, ICMR, PRCV.
Reviewer for conferences and journals, such as CVPR, ICML, IEEE TIP, IEEE TKDE, and IEEE TMM.