Junlin Hou
jlhou18 at fudan dot edu dot cn

Dr. Junlin Hou is a Post-doctoral Fellow at the Department of Computer Science and Engineering, The Hong Kong University of Science and Technology (HKUST). She obtained her Ph.D. from the School of Computer Science, Fudan University in 2023, supervised by Professor Rui Feng. She received her B.E degree in Mathematics and Applied Mathematics from Shanghai University in 2018. She has published 20+ papers in top-tiered conferences and journals, including CVPR, ICCV, ECCV, PR, etc. She served as a reviewer for ICCV, IEEE TMI, AI in medicine, etc. Her current research interest is in explainable artificial intelligence for healthcare.

Google Scholar  /  GitHub

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Research
ovsegmentor Learning Open-vocabulary Semantic Segmentation Models From Natural Language Supervision
Jilan Xu, Junlin Hou, Yuejie Zhang, Rui Feng, Yi Wang, Yu Qiao, Weidi Xie
CVPR 2023  
arXiv / project page / code

Training open-vocabulary semantic segmentation models with image-text pairs only, which enables zero-transfer to various segmentation datasets.

cream CREAM: Weakly supervised object localization via class re-activation mapping
Jilan Xu, Junlin Hou, Yuejie Zhang, Rui Feng, Rui-Wei Zhao, Tao Zhang, Xuequan Lu, Shang Gao
CVPR 2022  
arXiv

A weakly-supervised object localization model that generates better CAMs via soft-clustering algorithms.

cmcv2 CMC_v2: Towards More Accurate COVID-19 Detection with Discriminative Video Priors
Junlin Hou, Jilan Xu, Nan Zhang, Yi Wang, Yuejie Zhang, Xiaobo Zhang, Rui Feng
ECCV 2022 AIMIA Workshop  
arXiv / code

A Transformer-based model with contrastive representation enhancement. Winner of the 2nd COVID-19 Detection in ECCV 2022.

cmcv1 CMC-COV19D: Contrastive Mixup Classification for COVID-19 Diagnosis
Junlin Hou*, Jilan Xu*, Rui Feng, Yuejie Zhang, Fei Shan, Weiya Shi
ICCV 2021, AIMIA Workshop.  
paper / code

A ResNest-50 model combined with contrastive mixup technique for 3D COVID-19 CT image classification. Winner of the 1st COVID-19 detection challenge.
drl Data-Efficient Histopathology Image Analysis with Deformation Representation Learning
Jilan Xu, Junlin Hou, Yuejie Zhang, Rui Feng, Chunyang Ruan, Tao Zhang, Weiguo Fan
BIBM 2020, Oral  
paper

Introducing a self-supervised deformation representation learning technique for histopathology image analysis.
Awards & Honors

  • Winner of the 1st & 2nd COVID-19 Detection Challenge @ ICCV 2021 & ECCV 2022
  • Winner of the 1st COVID-19 Severity Detection Challenge @ ECCV 2022
Service

Reviewer : ICCV23, ICASSP23, ICIP22

TA : Theory of Computation


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