Email: haibo.nick.jin@gmail.com
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Email: haibo.nick.jin@gmail.com Research InterestsComputer Vision, Medical Image Analysis, Vision-Language Modeling |
| 2021 - Present | HKUST, Hong Kong, China |
| PhD in Computer Science and Engineering | |
| Supervisor: Hao Chen | |
| 2013 - 2016 | University of Helsinki, Finland |
| Master in Computer Science | |
| 2009 - 2013 | Dalian University of Technology, China |
| Bachelor in Software Engineering |
| 02.2019 - 06.2021 Computer Vision Engineer, IIAI, Abu Dhabi |
| Conducted projects and researches on face and pedestrian detection, person attribute recognition, facial landmark detection, etc. |
| 06.2017 - 01.2019 Computer Vision Engineer, AuthenMetric, Beijing |
| Conducted projects on face recognition, face detection, and pedestrian detection. |
| 06.2024 - Present Research intern, Alibaba DAMO Academy |
| Advisor: Ke Yan |
| Exploring the multi-modal problem in medical image analysis. |
| 08.2016 - 06.2017 Research assistant, Institute of Automation, Chinese Academy of Sciences |
| Advisor: Shengcai Liao |
| Conducted researches on computer vision tasks, e.g., person re-identification. |
| 10.2014 - 12.2015 (part-time) Research assistant, Department of CS, University of Helsinki |
| Advisor: Dorota Glowacka and Petri Myllymaki |
| Conducted projects and researches on RL-based information retrieval and text modeling with Latent Dirichlet Allocation. |
| PromptMRG: Diagnosis-Driven Prompts for Medical Report Generation.[pdf][code] |
| Haibo Jin, Haoxuan Che, Yi Lin and Hao Chen. |
| The 38th Annual AAAI Conference on Artificial Intelligence (AAAI), 2024. |
| Pixel-in-Pixel Net: Towards Efficient Facial Landmark Detection in the Wild.[pdf][code] |
| Haibo Jin, Shengcai Liao and Ling Shao. |
| International Journal of Computer Vision (IJCV), 2021. |
| Rethinking Self-training for Semi-supervised Landmark Detection: A Selection-free Approach.[pdf][code] |
| Haibo Jin*, Haoxuan Che* and Hao Chen. |
| IEEE Transactions on Image Processing (TIP), 2024. |
| Unsupervised Domain Adaptation for Anatomical Landmark Detection.[pdf][code] |
| Haibo Jin, Haoxuan Che and Hao Chen. |
| International Conference on Medical Image Computing and Computer Assisted Intervention (MICCAI), 2023. |
| Learning Robust Representation for Joint Grading of Ophthalmic Diseases via Adaptive Curriculum and Feature Disentanglement.[pdf] |
| Haoxuan Che, Haibo Jin and Hao Chen. |
| International Conference on Medical Image Computing and Computer Assisted Intervention (MICCAI), Early accept (Top 13%), 2022. |
| RePFormer: Refinement Pyramid Transformer for Robust Facial Landmark Detection.[pdf] |
| Jinpeng Li, Haibo Jin, Shengcai Liao, Ling Shao and Pheng-Ann Heng. |
| International Joint Conference on Artificial Intelligence (IJCAI), 2022. |
| Learning Lightweight Face Detector with Knowledge Distillation.[pdf] |
| Haibo Jin, Shifeng Zhang, Xiangyu Zhu, Yinhang Tang, Zhen Lei and Stan Z. Li. |
| International Conference on Biometrics (ICB), Oral, 2019. |
| Deep Person Re-Identification with Improved Embedding and Efficient Training.[pdf][code] |
| Haibo Jin, Xiaobo Wang, Shengcai Liao and Stan Z. Li. |
| International Joint Conference on Biometrics (IJCB), 2017. |
| Reviewer of |
| Conferences: CVPR (2023, 2024), ECCV (2022, 2024), ICCV (2023), AAAI (2024, 2025) |
| Journals: TPAMI, TIP, TMI, MIA, PR, NeuroComputing |