Dr Da Chen

Dr. Da Chen is currently a Lecturer in the Department of Computer Science at the University of Bath. Prior to this, he was a Postdoc researcher in a joint project between Alibaba Group and The Institute of Automation, Chinese Academy of Sciences.

His research focuses on computer vision, machine learning, multimodal learning, and related areas. He is particularly interested in solving complex practical tasks under “limited” data conditions, such as learning with limited labelled data, out-of-distribution data, cross-domain learning, incremental learning, etc. To this end, he has proposed multiple solutions for few-shot learning image classification, out-of-distribution detection, and other tasks. He is also interested in video-related computer vision and multimodal learning tasks such as video summarization, video object detection, dense video captioning, etc.

• Computer vision, deep learning, multimodal learning: general CV/ML tasks in practical scenarios.
• Learning with limited data: Learning with imbalanced data, long-tailed data, open-set data, out-of-distribution data, etc; incremental learning, few-shot learning, etc.
• Video processing: multimodal learning with video with visual, textual, and audio information.

University of Bath Research Portal:

https://researchportal.bath.ac.uk/en/persons/chen-chen-2