ABOUT ME
Currently, I am a CS Ph.D. student at Johns Hopkins University, under the advisement of Prof. Alan Yuille.
2022.6-2022.12, I was a visiting student at Computational Cognition, Vision, and Learning (CCVL) research group at Johns Hopkins University, under the advisement of Prof. Alan Yuille and Dr. Zongwei Zhou.
2022.1-2022.6, I was a research intern at Microsoft Research Asia, collaborating with Dr. Santamaria-Pang Alberto at Microsoft Research Redmond and Prof. David R. Haynor at University of Washington, under the advisement of Dr. Eric Chang and Dr. Lei Ji.
2020.9-2022.6, I was a research intern under the advisement of Dr. Deng-Ping Fan and Dr. Ge-Peng Ji.
2020.10-2021.8, I was a computer vision intern at Tencent Wesure.
2020.8-2021.1, I was a video transmission algorithm intern at Kwaishou, under the advisement of Dr. Chao Zhou and Dr. YanJiao Chen.
2018.9-2022.6, I was an undergraduate student at Department of Computer Science, Wuhan University.
Email address: johnson111788[at]gmail[dot]com
Other links: Google Scholar, GitHub, LinkedIn
RESEARCH INTEREST
Visual Attention: Salient/Camouflaged Object Detection, Organ and Tumor Segmentation
Vision-Language Model: CLIP-driven Segmentation
Model De-Biasing: Causal Reasoning, Lifelong Learning, Tumor Synthesis
Data-Efficient Learning: Weakly-/Omni-supervised Learning
NEWS
(2024/1) Our challenge BodyMaps is accepted to ISBI'24.
(2023/10) Our paper Drag&Dop is accepted to MIR'23.
(2022/9) Our abstract is accepted to RSNA'23.
(2023/1) Start my Ph.D. journey at Johns Hopkins University.
(2022/9) Our abstract is accepted to RSNA'22.
(2022/8) Our paper DGNet is accepted to MIR'23.
(2022/8) Our paper PNS+ is accepted to MIR'22.
(2022/6) I received the First Prize for Outstanding Academic College Students - China Computer Federation-Youth Elite Forum (CCF-YEF).
(2021/11) Our paper is ranked 2nd (5%) in polyp segmentation in MedAI 2021 challenge and accepted to NMI.
(2021/3) Our paper PNS-Net is accepted to MICCAI'21 with Student Travel Award (5.8%).
SELECTED PUBLICATIONS
* : Equal contribution, † : Corresponding Author
Preprint
Journal Publications
2024
Acquiring Weak Annotations for Tumor Localization in Temporal and Volumetric Data
Yu-Cheng Chou, Bowen Li, Deng-Ping Fan, Alan Yuille, Zongwei Zhou†
Machine Intelligence Research (MIR), 2024, 1-13.
[PDF] [Code] [Official version]
2023
Deep Gradient Learning for Efficient Camouflaged Object Detection
Ge-Peng Ji, Deng-Ping Fan†, Yu-Cheng Chou, Dengxin Dai, Alexander Liniger, Luc Van Gool.
Machine Intelligence Research (MIR), 2023, 20 (1): 92-108.
[PDF] [Code] [Official version]
2022
Video Polyp Segmentation: A Deep Learning Perspective
Ge-Peng Ji*, Guobao Xiao*, Yu-Cheng Chou*, Deng-Ping Fan†, Kai Zhao, Geng Chen, Huazhu Fu, Luc Van Gool.
Machine Intelligence Research (MIR), 2022, 19 (6): 531-549.
[PDF] [Code] [Official version]
2021
Automatic Polyp and Instrument Segmentation in MedAI-2021
Yu-Cheng Chou
Nordic Machine Intelligence (NMI), 2021, 1 (1): 17-19.
[MedAI-2021 Challenge Rank 2nd]
[PDF] [Code]
Conference Publications
2024
Body Maps: Towards 3D Atlas of Human Body
Wenxuan Li, Yu-Cheng Chou, Jieneng Chen, Qi Chen, Chongyu Qu, Alan Yuille, Zongwei Zhou†
International Symposium on Biomedical Imaging (ISBI), 2024
[PDF] [Code] [Official version]
2023
Early Detection and Localization of Pancreatic Cancer by Label-Free Tumor Synthesis
Bowen Li, Yu-Cheng Chou, Shuwen Sun, Hualin Qiao, Alan Yuille, Zongwei Zhou†
Medical Image Computing and Computer Assisted Intervention (MICCAI), 2024
[PDF] [Code] [Official version]
Scaling Temporal and Volumetric Datasets for Tumor Localization Without Per-Pixel Annotations
Yu-Cheng Chou, Bowen Li, Alan Yuille, Zongwei Zhou†
Radiological Society of North America (RSNA), 2023
[PDF] [Code] [Official version]
2022
Determining Effective and Efficient Annotation Strategies to Curate Large-scale Colonoscopy Video Datasets for Polyp Detection
Yu-Cheng Chou, Deng-Ping Fan, Alan Yuille†, Zongwei Zhou
Radiological Society of North America (RSNA), 2022
[Oral, Accept rate = 930/10,400 = 9%]
[PDF] [Code] [Official version]
2021
Progressively Normalized Self-Attention Network for Video Polyp Segmentation
Ge-Peng Ji*, Yu-Cheng Chou*, Deng-Ping Fan†, Geng Chen, Huazhu Fu, Debesh Jha, and Ling Shao
Medical Image Computing and Computer Assisted Intervention (MICCAI), 2021
[Early Accept, Accept rate = 13% | Student Travel Award, Rate = 95/1630 = 5.8%]
[PDF] [Code] [Official version]
SERVICES
Reviewer for the conference
Medical Image Computing and Computer Assisted Intervention (MICCAI-2023)
International Journal of Electrical and Computer Engineering Systems (IJECES-2021/-2022)
International Conference on Image Processing (IEEE ICIP-2022)
Reviewer for the journal
The Visual Computer Journal (TVCJ)
Machine Intelligence Research
Sensors
Scientific Reports
PROJECTS
GALLERY