Chang-Bin Zhang 张长彬 Ph.D. Candidate The University of Hong Kong zhangchbin@gmail.com [Curriculum Vitae] Google Scholar

I'm currently a final-year Ph.D. candidate working with Dr. Yujie Zhong and Prof. Kai Han at The University of Hong Kong (HKU) . Before that, I spent wonderful years at Nankai University (NKU), supervised by Prof. Ming-Ming Cheng and received my M.Eng degree in Computer Science.

My research interests lie in 2D/3D image perception, multi-modal large language models and reinforcement learning, video generation and world models.

Publications

• 

  Mr. DETR++: Instructive Multi-Route Training for Detection Transformers with Mixture-of-Experts
  Chang-Bin Zhang, Yujie Zhong and Kai Han
  Under Review, 2025
  [arXiv] [code] [project page] [HuggingFace Demo]
  A powerful, SOTA object detection model, an enhanced version of Mr. DETR
  Support object detection, instance segmentation and panoptic segmentation

  Object Detection Panoptic/Instance/Semantic Segmentation MoE Transformer
• 

  Mr. DETR: Instructive Multi-Route Training for Detection Transformers
  Chang-Bin Zhang, Yujie Zhong and Kai Han
  CVPR, 2025
  [arXiv] [code] [project page] [HuggingFace Demo]
  [04/25] Rank #1 in the Leaderboard of COCO 2017 val

  Object Detection
• 

  v-CLR: View-Consistent Learning for Open-World Instance Segmentation
  Chang-Bin Zhang, Jinhong Ni, Yujie Zhong and Kai Han
  CVPR, 2025, Highlight
  [arXiv] [code] [project page] [HuggingFace Demo]

  Instance Segmentation Open-World
• 

  Endpoints Weight Fusion for Class Incremental Semantic Segmentation
  Jia-Wen Xiao*, Chang-Bin Zhang*, Jiekang Feng, Xialei Liu, Joost van de Weijer and Ming-Ming Cheng
  CVPR, 2023
  [IEEE/CVF] [code]

  Semantic Segmentation Continual Learning
• 

  Representation Compensation Networks for Continual Semantic Segmentation
  Chang-Bin Zhang*, Jia-Wen Xiao*, Xialei Liu, Yingcong Chen and Ming-Ming Cheng
  CVPR, 2022
  [IEEE/CVF] [arXiv] [中译版] [code]

  Semantic Segmentation Continual Learning
• 

  Delving Deep into Label Smoothing
  Chang-Bin Zhang*, Peng-Tao Jiang*, Qibin Hou, Yunchao Wei, Qi Han, Zhen Li and Ming-Ming Cheng
  IEEE Transactions on Image Processing (IEEE TIP), 2021
  [IEEE Explore] [arXiv] [中译版] [code]

  Knowledge Distillation
• 

  LayerCAM: Exploring Hierarchical Class Activation Maps For Localization
  Peng-Tao Jiang*, Chang-Bin Zhang*, Qibin Hou, Ming-Ming Cheng and Yunchao Wei
  IEEE Transactions on Image Processing (IEEE TIP), 2021
  [IEEE Explore] [中译版] [code] [ESI Highly Cited Paper (1%)]
  The FIRST tool to extract class activation maps from ANY layer in networks

  Class Activation Map
• 

  Personalized Image Semantic Segmentation
  Yu Zhang, Chang-Bin Zhang, Peng-Tao Jiang, Ming-Ming Cheng and Mao Feng
  ICCV, 2021
  [IEEE/CVF] [arXiv] [中译版] [code]

  Semantic Segmentation
• 

  Deep Hough Transform for Semantic Line Detection
  Kai Zhao*, Qi Han*, Chang-Bin Zhang, Jun Xu, and Ming-Ming Cheng
  IEEE Transactions on Pattern Analysis and Machine Intelligence (IEEE TPAMI), 2021
  [IEEE Explore] [arXiv] [中译版] [code] [ESI Highly Cited Paper (1%)]

  Line Detection

Experience

• SAIC Motor Autonomous, Engineer, 2022.07~2023.01, Shanghai, working closely with Dr. Peixuan Li
  

• NIO Autonomous, Internship, 2022.01~2022.04, Beijing
  

• DJI Autonomous, Internship, 2021.06~2021.08, Shenzhen