Introduction
We are mainly engaged in the research of basic theories and key techniques in the fields of artificial intelligence, computer vision, machine learning and multimedia, specifically focusing on the "human-centric" intelligent visual perception.
Main research interests include:
- Image/Video Analytics: image/video retrieval, binary coding, human activity analysis, person re-id/search
- Weakly-supervised Learning: zero-shot learning, few-shot learning, self-supervised learning
- Multimedia Analysis: cross-modality retrieval, multi-modality fusion
- 3D Vision: 3D shape recognition, sketch-based 3D shape retrieval
We are always looking for self-motivated undergraduate/master/PhD students to join our family. Please do not hesitate to contact Prof. Jie Qin if you are interested!
Recent News
*01/11/2023 Our paper has won the Honorable Mention Award (3/3072, Top 1‰) of ACM MM 2023!
*26/03/2023 One paper is accepted to IEEE TPAMI.
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Looking forward to your joining