Mingfei Han

PhD student, Monash University

I am a second-year PhD student at Monash University, advised by Prof. Xiaojun Chang. Before that, I was a visiting student at MMlab, SIAT, Chinese Academy of Sciences, where I was fortunate to work with Prof. Yu Qiao, and A/Prof. Yali Wang.

I received my Master's degree from University of Chinese Academy of Sciences (UCAS) and my Bachelor's degree from Nankai University (NKU).

Research interest

My research interests lie in computer vision and machine learning. Currently, I am working on object and event prediction with NLP guidance in both videos and images, like Referring-VOS, video grounding and text-driven zero-shot object detection. Previously, I was working on individual and group activity recognition, and video object detection with full supervision and limited supervision. During my Master's thesis, I worked on moving object detection and tracking.

Publications and preprints

Dual-AI: Dual-path Actor Interaction Learning for Group Activity Recognition
Mingfei Han, David Junhao Zhang, Yali Wang, Ruiyan, Lina Yao, Xiaojun Chang and Yu Qiao
Conference on Computer Vision and Pattern Recognition (CVPR), 2022 (Oral)
project page / arXiv / slides / code / poster / presentation / bibtex
Mining Inter-Video Relations for Video Object Detection
Mingfei Han, Yali Wang, Xiaojun Chang, Yu Qiao
European Conference on Computer Vision (ECCV), 2020
ECVA / code / bibtex
Object tracking in satellite videos by improved correlation filters with motion estimations
Shiyu Xuan, Shengyang Li, Mingfei Han, Xue Wan, Gui-song Xia
IEEE Transactions on Geoscience and Remote Sensing (TGRS), 2019
IEEE / code / bibtex
MMVG-INF-Etrol@ TRECVID 2019: Activities in Extended Video
Xiaojun Chang, Wenhe Liu, Po-Yao Huang, Changlin Li, Fengda Zhu, Mingfei Han, et al.
First Prize on Trecvid Activities in Extended Video (ActEV) challenge, 2019
NIST / bibtex

Talks

Contact

You are very welcome to contact me regarding my research. I typically respond within a few days.
I can be contacted directly at hmf282 [at] gmail.com