Aozhu Chen 陈坳珠

About Me [中文]

I’m a 3rd-year Ph.D. student in Computer Science at the Information School at the Renmin University of China. And I have been advised by Prof. Xirong Li from 2019 to now. I received my B.S. and M.E. degrees from Chongqing University of Posts and Telecommunications, Chongqing, China, in 2016 and 2019, respectively.
My research interests mainly focus on cross-modal computing, to be specific, image/video caption, text-to-video retrieval, and attack on cross-modal retrieval. I am mainly involved in an international leading benchmark evaluation for video retrieval by text, named TRECVID Ad-hoc Video Search, which has been funded by NIST. In addition, I have been paying more attention to how to use large-scale pre-trained visual-language models to achieve better performance in those downstream tasks recently.
Contact me: caz@ruc.edu.cn or jewelchen229@gmail.com

Fan Hu*, Aozhu Chen*, Ziyue Wang*, Fangming Zhou, Xirong Li.
Lightweight Attentional Feature Fusion: A New Baseline for Text-to-Video Retrieval. ECCV, 2022.
Ziyue Wang*, Aozhu Chen*, Fan Hu, Xirong Li.
Learn to Understand Negation in Video Retrieval. ACMMM, 2022.
Aozhu Chen*, Fan Hu*, Zihan Wang, Fangming Zhou, Xirong Li.
What Matters for Ad-hoc Video Search? A Large-scale Evaluation on TRECVID. ViRal’21@ICCV 2021, 2021.
Chengbo Dong, Xinru Chen, Aozhu Chen, Fan Hu, Zihan Wang, Xirong Li.
Multi-Level Visual Representation with Semantic-Reinforced Learning for Video Captioning. ACM MM(Grand Challenge Track), 2021.
Aozhu Chen, Xinyi Huang, Hailan Lin, Xirong Li.
Towards Annotation-Free Evaluation of Cross-Lingual Image Captioning. ACM MM Asia, 2020.
MengZhou, Xianhua Zeng, Aozhu Chen.
Deep Forest Hashing for Image Retrieval. Pattern Recognition, 2019.
Xianhua Zeng,Aozhu Chen, MengZhou.
Color perception algorithm of medical images using density peak-based hierarchical clustering. Biomedical Signal Processing and Control, 2019.
Zeng Xianhua, Chen Aozhu, He Shanshan.
Color Perception Algorithm of Medical Images Using Multi-features Fusion. Journal of Computer-Aided Design & Computer Graphics, 2018.

National Scholarships 2018.