Zeqian Li (李则骞)

I am a second-year PhD candidate at Shanghai Jiao Tong University (SJTU), advised by Prof. Weidi Xie. I received my Bachelor degree in Information Engineering, also from Shanghai Jiao Tong University.

My research focuses on long video understanding and multi-modal representation learning.

Email  /  Google Scholar  /  GitHub

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Research
Universal Video Temporal Grounding with Generative Multi-modal Large Language Models
Zeqian Li, Shangzhe Di, Zhonghua Zhai, Weilin Huang, Yanfeng Wang, Weidi Xie
In submission, 2025
paper / project page / code

Towards universal video grounding with superior accuracy, generalizability, and robustness.
Learning Streaming Video Representation via Multitask Training
Yibin Yan*, Jilan Xu*, Shangzhe Di, Yikun Liu, Yudi Shi, Qirui Chen, Zeqian Li, Yifei Huang, Weidi Xie
In submission, 2025
paper / project page / code

Learn streaming video representations of various granularities through multitask training, including retrieval, action recognition, temporal grounding, and segmentation.
Multi-Sentence Grounding for Long-term Instructional Video
Zeqian Li*, Qirui Chen*, Tengda Han, Ya Zhang, Yanfeng Wang, Weidi Xie
ECCV, 2024
paper / project page / code

An automatic, scalable pipeline for denoising the large-scale instructional dataset and construct a high-quality video-text dataset with multiple descriptive steps supervision.

Special Thanks~