News
[07/2024] One oral paper to appear in ACM MM 2024!
[07/2024] One paper to appear in ECCV 2024.
[06/2024] Four papers to appear in MICCAI 2024.
[02/2024] Two papers to appear in CVPR 2024.
[02/2024] Our Vivim and SegMamba are out as pre-print.
[07/2023] One paper to appear in ACM MM 2023. Congrats to Hongtao!
[07/2023] One first-author paper on Video Multi-Adverse-Weather Removal to appear in ICCV 2023.
[05/2023] Our DiffMIC for medical image classification is early accepted by MICCAI 2023.
[09/2022] We win the 4th place on the Grand Challenge P2ILF'2022
Biography
I am a third-year Ph.D. candidate at the Hong Kong University of Science and Technology (Guangzhou) supervised by Prof. Lei Zhu and Dr. Huazhu Fu.
I obtained my Bachelor degree with honors in Artificial Intelligence at School of Computer Science and Technology, Shandong University in 2022.
I also work closely with Dr. Angelica I. Aviles-Rivero, Dr. Shujun Wang and Prof. Carola-Bibiane Schönlieb at The University of Cambridge.
My research interests mainly lie in Medical Image Analysis, low-level vision and Generalizable AI.
Experience
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2021.11-2022.08 The University of Cambridge
Visiting student advised by Dr. Angelica I. Aviles-Rivero, Dr. Shujun Wang and Prof. Carola-Bibiane Schönlieb,
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2021.06-2021.09 The University of Hong Kong
Research intern advised by Prof. Lequan Yu,
Topic: Medical Image Analysis, especially Domain Generalization and Multi-modality Learning
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2020.12-2021.06 iLearn Lab, Shandong University
Research assistant advised by Prof. Gan Tian,
Topic: Video Understanding
Publications
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RainMamba: Enhanced Locality Learning with State Space Models for Video Deraining
Hongtao Wu, Yijun Yang, Huihui Xu, Weiming Wang, Jinni Zhou, Lei Zhu.
ACM MM 2024. (oral)
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Semi-Supervised Video Desnowing Network via Temporal Decoupling Experts and Distribution-Driven Contrastive Regularization
Hongtao Wu, Yijun Yang, Angelica Aviles-Rivero, Jingjing Ren, Sixiang Chen, Haoyu Chen, Lei Zhu.
ECCV 2024.
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Vivim: a Video Vision Mamba for Medical Video Segmentation
Yijun Yang, Zhaohu Xing, Lequan Yu, Chunwang Huang, Huazhu Fu, Lei Zhu.
Under review. [code]
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SegMamba: Long-range Sequential Modeling Mamba For 3D Medical Image Segmentation
Zhaohu Xing, Tian Ye, Yijun Yang, Guang Liu, Lei Zhu.
MICCAI 2024. (early accepted), (spotlight) [code]
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Diff-VPS: Video Polyp Segmentation via a Multi-task Diffusion Network with Adversarial Temporal Reasoning
Yingling Lu, Yijun Yang, Zhaohu Xing, Qiong Wang, Lei Zhu.
MICCAI 2024. (early accepted)
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LGRNet: Local-Global Reciprocal Network for Uterine Fibroid Segmentation in Ultrasound Videos
Huihui Xu*, Yijun Yang*, Angelica I. Aviles-Rivero, Guang Yang, Jing Qin, Lei Zhu.
MICCAI 2024. (early accepted)
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Cross-conditioned Diffusion Model for Medical Image to Image Translation
Zhaohu Xing, Sicheng Yang, Tian Ye, Sixiang Chen, Yijun Yang, Jing Qin, Lei Zhu.
MICCAI 2024.
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Genuine Knowledge from Practice: Diffusion Test-Time Adaptation for Video Adverse Weather Removal
Yijun Yang, Hongtao Wu, Angelica I. Aviles-Rivero, Yulun Zhang, Jing Qin, Lei Zhu.
CVPR 2024. [code]
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Driving-Video Dehazing with Non-Aligned Regularization for Safety Assistance
Junkai Fan, Jiangwei Weng, Kun Wang, Yijun Yang, Jianjun Qian, Jun Li, Jian Yang.
CVPR 2024.
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MammoDG: Generalisable Deep Learning Breaks the Limits of Cross-Domain Multi-Center Breast Cancer Screening
Yijun Yang, Shujun Wang, Lihao Liu, Sarah Hickman, Fiona J Gilbert, Carola-Bibiane Schönlieb, Angelica I. Aviles-Rivero.
Under review.
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Mask-Guided Progressive Network for Joint Raindrop and Rain Streak Removal in Videos
Hongtao Wu, Yijun Yang, Haoyu Chen, Jingjing Ren, Lei Zhu.
ACM MM 2023.
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Video Adverse-Weather-Component Suppression Network via Weather Messenger and Adversarial Backpropagation
Yijun Yang, Angelica I. Aviles-Rivero, Huazhu Fu, Ye Liu, Weiming Wang, Lei Zhu.
ICCV 2023. [code] [project]
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DiffMIC: Dual-Guidance Diffusion Network for Medical Image Classification
Yijun Yang, Huazhu Fu, Angelica I. Aviles-Rivero, Carola-Bibiane Schönlieb, Lei Zhu.
MICCAI 2023. (early accepted) [code]
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HCDG: A Hierarchical Consistency Framework for Domain Generalization on Medical Image Segmentation
Yijun Yang*, Shujun Wang*, Lei Zhu, Lequan Yu.
arXiv. [code]
Professional Activities
Invited Talks:
Central South University, “Delving into Adverse Weather Removal in Videos”, August 2024.
SIAM Conference on Imaging Science, “All-in-one Adverse Weather Removal in Videos”, May 2024.
MATH+ML+X Seminar, Cambridge University, “Generalisable Mammography Analysis”, July 2023.
Paper Reviews:
Conference: NeurIPS, ICLR, ECCV, ACM MM, MIUA, MICCAI
Journal: TMI, JBHI, IJCV, TNNLS, TCSVT, CMIG
Teaching Assistant:
2023-2024 Spring: Advanced Learning Techniques for Medical Robotics Systems
2023-2024 Fall: Physical-based vision for Robot and Autonomous Driving
Competitions & Projects
TipDM Challenge, National First Prize (only 1.3% selected from all teams)
P2ILF Grand Challenge, 4-th place