Haoxin Li     李昊昕

Ph.D. Student

Nanyang Technological University, Singapore

Email: haoxin003@e.ntu.edu.sg / lihaoxin05@gmail.com

About Me (CV)

I am currently a Ph.D. Student at Nanyang Technological University, under the supervision of Prof. Boyang Li and Prof. Hanwang Zhang. My research interest is computer vision. I obtained my Master degree from Sun Yat-Sen University, under the supervision of Prof. Wei-Shi Zheng.

Education

• Nanyang Technological University: Aug., 2021 – NOW
  • Ph.D. student in Computer Science and Engineering
• Sun Yat-Sen University: Aug., 2018 – June, 2021
  • M.Sc. in Information and Communication Engineering
• Sun Yat-Sen University: Aug., 2014 – June, 2018
  • B.E. in Electronic Engineering

Publications

• Haoxin Li, Yuan Liu, Hanwang Zhang, Boyang Li. Mitigating and Evaluating Static Bias of Action Representations in the Background and the Foreground. In IEEE International Conference on Computer Vision (ICCV), 2023. (Oral) [arxiv][code][main paper][supplementary material]

• Haoxin Li, Wei-Shi Zheng, Yu Tao, Haifeng Hu, Jian-Huang Lai. Adaptive Interaction Modeling via Graph Operations Search. In IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 2020. [arxiv][code][main paper][supplementary material]

• Haoxin Li, Wei-Shi Zheng, Jianguo Zhang, Haifeng Hu, Jiwen Lu, Jian-Huang Lai. Egocentric Action Recognition by Automatic Relation Modeling. IEEE Transactions on Pattern Analysis and Machine Intelligence (TPAMI), 2022. [paper][code]

• Haoxin Li, Yijun Cai, Wei-Shi Zheng. Deep Dual Relation Modeling for Egocentric Interaction Recognition. In IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 2019. [arxiv][code][main paper] [supplementary material]

• Miaoyu Li, Haoxin Li, Zilin Du, Boyang Li. Diversify, Rationalize, and Combine: Ensembling Multiple QA Strategies for Zero-shot Knowledge-based VQA. Findings of the Association for Computational Linguistics: EMNLP 2024. [paper]

• Yijun Cai, Haoxin Li, Jian-Fang Hu, Wei-Shi Zheng. Action Knowledge Transfer for Action Prediction with Partial Videos. In 33rd AAAI Conference on Artificial Intelligence (AAAI), 2019. [paper]

• Shuosen Guan, Haoxin Li, Wei-Shi Zheng. Unsupervised Learning for Optical Flow Estimation Using Pyramid Convolution LSTM. In IEEE International Conference on Multimedia and Expo (ICME), 2019. [paper]

• Jiaming Zhou, Kun-Yu Lin, Haoxin Li, Wei-Shi Zheng. Graph-Based High-Order Relation Modeling for Long-Term Action Recognition. In IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 2021. [paper]

• Yi Zhong, Jia-Hui Pan, Haoxin Li, Wei-Shi Zheng. Weakly supervised action anticipation without object annotations. Frontiers of Computer Science, 2023. [paper]

Honors and Awards

• ActivityNet Large-Scale Activity Recognition Challenge 2018: Trimmed Event Recognition (Moments in Time Recognition Challenge), Rank: 1/12 in Mini Track, 10/29 in Full Track. [report]
• National Scholarship (1/264), by Minister of Education of China, 2015