Chunming He (何春明)

Chunming He (何春明)

Graduate Student

Duke University

Biography

I am a first-year doctoral student at Duke University advised by Prof. Sina Farsiu. Now I work closely with Dr. Kai Li, Dr. Yulun Zhang, and Dr. Deng-Ping Fang. Previously, I received my master degree at Tsinghua University under the supervision of Prof. Xiu Li and obtained my bachelor degree at Nanjing University of Posts and Telecommunications under the guidance of Prof. Hu Zhu and Dr. Guoxia Xu.

My research interests revolve around the intersection of computer vision, biomedical image analysis, and machine learning. Specifically, I emphasize the utilization of prior knowledge to augment the robustness and generalization capabilities of computer vision algorithms.

I’m open to any kinds of collaboration. Please feel free to contact me directly through email.

Email: chunminghe19990224@gmail.com or chunming.he@duke.edu

Interests
  • Computer Vision
  • Image Processing
  • Biomedical Image Analysis
  • Machine Learning
Education

  • Ph.D. in Biomedical Engineering, 2024 - Present

    Duke University

  • M.S. in Computer Science, 2021 - 2024

    Tsinghua University

News

  • [Oct. 2024] We are collecting papers about Concealed Object Segmentation (Survey, Repository) and Diffusion Models in Low-Level Vision (Survey, Repository). Feel free to give us any valuable suggestions!

  • [Sept. 2024] One paper accepted to NeurIPS 2023 as a Spotlight, Congrats to Chengyu and Fengyang! One paper accepted to IEEE TCSVT (IF=8.3).

  • [July 2024] I received the award of “Pratt-Gardner Fellowship” and “John Chambers Fellowship” at Duke University. One paper accepted to ECCV 2024, Congrats to Longxiang!

  • [June 2024] I graduated from Tsinghua University and received the honor of “Outstanding Graduate of Tsinghua University” (14 in 1140, ranked 2nd) and “Outstanding Master’s Thesis of Tsinghua University”.

  • [Jan. 2024] One paper accepted to ICLR 2024.

  • [Sept. 2023] One paper accepted to NeurIPS 2023 and one paper accepted to IEEE TNNLS (IF=14.26).

  • [July 2023] One paper accepted to ICCV 2023.

  • [May 2023] One paper accepted to MICCAI 2023, Congrats to Longxiang!

  • [Feb. 2023] One paper accepted to CVPR 2023.

  • [Jan. 2023] One paper accepted to IEEE TNNLS (IF=14.26).

  • [Oct. 2022] One paper accepted to IEEE TITS (IF=9.55).

  • [Sept. 2022] One paper accepted to MedIA (IF=13.83), Congrats to Lei Xu!

  • [Aug. 2022] One paper accepted to IEEE TITS (IF=9.55).

Selected Publications

Here is a list of my publications (selected). For full publications, please refer to my Google Scholar.
( $^†$ equal contribution, * corresponding author)
Summary: CVPR/ICCV/ECCV/NeurIPS/ICLR - 6 (1 Spotlight), IEEE Trans./MIA - 6.
*
All Journal Conference Under Review
Real-world Image Dehazing with Coherence-based Label Generator and Cooperative Unfolding Network
Chengyu Fang$^†$, Fengyang Xiao$^†$, Chunming He*, Yulun Zhang*, Longxiang Tang, Yuelin Zhang, Kai Li, Xiu Li
in Advances in Neural Information Processing Systems (NeurIPS), 2024
PDF Code
Real-world Image Dehazing with Coherence-based Label Generator and Cooperative Unfolding Network
A Survey of Camouflaged Object Detection and Beyond
Fengyang Xiao$^†$, Sujie Hu$^†$, Yuqi Shen, Chengyu Fang, Jinfa Huang, Chunming He$^*$, Longxiang Tang, Ziyun Yang, Xiu Li.
arXiv preprint arXiv:2408.14562 (arXiv), 2024
PDF Code
A Survey of Camouflaged Object Detection and Beyond
Diffusion Models in Low-Level Vision$:$ A Survey
Chunming He$^†$, Yuqi Shen$^†$, Chengyu Fang$^†$, Fengyang Xiao, Yulun Zhang, Wangmeng Zuo, Zhenhua Guo, Xiu Li.
arXiv preprint arXiv:2406.11138 (arXiv), 2024
PDF Code
Diffusion Models in Low-Level Vision$:$ A Survey
AIIE$:$ All-Inclusive Image Enhancement via DCT Data Adjustment
Mingye Ju$^†$, Chunming He$^†$, Can Ding, Wenqi Ren, Lin Zhang.
IEEE Transactions on Circuits and Systems for Video Technology (TCSVT), 2024
AIIE$:$ All-Inclusive Image Enhancement via DCT Data Adjustment
Reti-Diff$:$ Illumination Degradation Image Restoration with Retinex-based Latent Diffusion Model
Chunming He$^†$, Chengyu Fang$^†$, Yulun Zhang*, Tian Ye, Kai Li, Longxiang Tang, Zhenhua Guo, Xiu Li*, Sina Farsiu*
arXiv preprint arXiv:2311.11638 (arXiv), 2023
PDF Code
Reti-Diff$:$ Illumination Degradation Image Restoration with Retinex-based Latent Diffusion Model
Strategic Preys Make Acute Predators$:$ Enhancing Camouflaged Object Detectors by Generating Camouflaged Objects
Chunming He, Kai Li*, Yachao Zhang, Yulun Zhang, Zhenhua Guo, Xiu Li*, Martin Danelljan, Fisher Yu
in International Conference on Learning Representations (ICLR), 2024
PDF Code
Strategic Preys Make Acute Predators$:$ Enhancing Camouflaged Object Detectors by Generating Camouflaged Objects
Weakly-Supervised Concealed Object Segmentation with SAM-based Pseudo Labeling and Multi-scale Feature Grouping
Chunming He$^†$, Kai Li$^†$, Yachao Zhang, Guoxia Xu, Longxiang Tang, Yulun Zhang, Zhenhua Guo, Xiu Li*
in Advances in Neural Information Processing Systems (NeurIPS), 2023
PDF Code
Weakly-Supervised Concealed Object Segmentation with SAM-based Pseudo Labeling and Multi-scale Feature Grouping
Degradation-Resistant Unfolding Network for Heterogeneous Image Fusion
Chunming He, Kai Li*, Guoxia Xu, Yulun Zhang, Runze Hu, Zhenhua Guo, Xiu Li*
in International Conference on Computer Vision (ICCV), 2023
PDF
Degradation-Resistant Unfolding Network for Heterogeneous Image Fusion
Camouflaged Object Detection with Feature Decomposition and Edge Reconstruction
Chunming He, Kai Li*, Yachao Zhang, Longxiang Tang, Yulun Zhang, Zhenhua Guo, Xiu Li*
in IEEE International Conference on Computer Vision and Pattern Recognition (CVPR), 2023
PDF Code
Camouflaged Object Detection with Feature Decomposition and Edge Reconstruction
HQG-Net$:$ Unpaired Medical Image Enhancement with High-Quality Guidance
Chunming He, Kai Li*, Guoxia Xu, Jiangpeng Yan, Longxiang Tang, Yulun Zhang, Yaowei Wang, Xiu Li*.
IEEE Transactions on Neural Networks and Learning Systems (TNNLS), 2023
PDF Code
HQG-Net$:$ Unpaired Medical Image Enhancement with High-Quality Guidance
DM-Fusion$:$ Deep Model-Driven Network for Heterogeneous Image Fusion
Guoxia Xu$^†$, Chunming He$^†$, Hao Wang*, Hu Zhu, Weiping Ding
IEEE Transactions on Neural Networks and Learning Systems (TNNLS), 2023
PDF
DM-Fusion$:$ Deep Model-Driven Network for Heterogeneous Image Fusion
IVF-Net$:$ An Infrared and Visible Data Fusion Deep Network for Traffic Object Enhancement in Intelligent Transportation Systems
Mingye Ju$^†$, Chunming He$^†$, Juping Liu, Bin Kang, Jian Su, Dengyin Zhang
IEEE Transactions on Intelligent Transportation Systems (TITS), 2022
PDF
IVF-Net$:$ An Infrared and Visible Data Fusion Deep Network for Traffic Object Enhancement in Intelligent Transportation Systems
PcGAN$:$ A Noise Robust Conditional Generative Adversarial Network for One Shot Learning
Lizhen Deng$^†$, Chunming He$^†$, Guoxia Xu, Hu Zhu*, Hao Wang
IEEE Transactions on Intelligent Transportation Systems (TITS), 2022
PDF
PcGAN$:$ A Noise Robust Conditional Generative Adversarial Network for One Shot Learning
Source-Free Domain Adaptive Fundus Image Segmentation with Class-Balanced Mean Teacher
Longxiang Tang, Kai Li*, Chunming He, Yulun Zhang, Xiu Li*
in International Conference on Medical Image Computing and Computer Assisted Intervention (MICCAI), 2023
PDF
Source-Free Domain Adaptive Fundus Image Segmentation with Class-Balanced Mean Teacher
Multi-modal sequence learning for Alzheimer’s disease progression prediction with incomplete variable-length longitudinal data
Lei Xu, Hui Wu, Chunming He, Jun Wang, Changqing Zhang, Feiping Nie, Lei Chen*
Medical Image Analysis (MedIA), 2022
PDF Code
Multi-modal sequence learning for Alzheimer’s disease progression prediction with incomplete variable-length longitudinal data
Incompletely Supervised Concealed Object Segmentation with SAM-based Pseudo Labeling and Hybrid-Granularity Feature Grouping
Chunming He, Kai Li, Fengyang Xiao, Ziyun yang, Chengyu Fang, Longxiang Tang, Xiu Li, Sina Farsiu.
IEEE Transactions on Pattern Analysis and Machine Intelligence (TPAMI) (Under Review)

Selected Awards

John Chambers Fellowship & Pratt-Gardner Fellowship
Duke University Jul 2024
Outstanding Graduate of Tsinghua University & Outstanding Master’s Thesis of Tsinghua University
Tsinghua University Jun 2024
National Scholarship for Graduate Students
Tsinghua University Oct 2023

Teaching

Teaching Assistant for Introduction to the Frontiers of Artificial Intelligence
Tsinghua University Sep 2023 – Jan 2024
Teaching Assistant for Intelligent Unmanned Delivery in Meituan
Tsinghua University Sep 2022 – Jan 2023

Professional Activities

  • Reviewer for Nature Communications, TPAMI, IJCV, TIP, TMI, TNNLS, TITS, TMM, TCSVT, PR.

  • Reviewer for CVPR, ICCV, ECCV, NeurIPS, ICML, ICLR, AAAI, IJCAI, ACM MM, MICCAI, ICME, ICASSP.

My Collaborators and Friends