Zhengbo Zhang

Ph.D. Student, Singapore University of Technology and Design

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My research focuses on generative models (such as diffusion models for video generation and editing), and reinforcement learning. Previously, I also conducted research in model compression.

Publication

• Performing Defocus Deblurring by Modeling its Formation Process
  Zhengbo Zhang, Lin Geng Foo, Hossein Rahmani, Jun Liu, De Wen Soh
  IEEE International Conference on Computer Vision (ICCV), 2025
• Visual Prompting for One-shot Controllable Video Editing without Inversion
  Zhengbo Zhang, Yuxi Zhou, Duo Peng, Joo Hwee Lim, Zhigang Tu, De Wen Soh, Lin Geng Foo
  IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 2025
• Diff-Tracker: Text-to-Image Diffusion Models are Unsupervised Trackers
  Zhengbo Zhang, Li Xu, Duo Peng, Hossein Rahmani, Jun Liu
  European Conference on Computer Vision (ECCV), 2024
• Harnessing Text-to-Image Diffusion Models for Category-Agnostic Pose Estimation
  Duo Peng, Zhengbo Zhang, Ping Hu, Qiuhong Ke, David Yau, Jun Liu
  European Conference on Computer Vision (ECCV), 2024 (Oral)
• Distilling Inter-Class Distance for Semantic Segmentation
  Zhengbo Zhang, Chunluan Zhou, Zhigang Tu
  International Joint Conference on Artificial Intelligence (IJCAI), 2022 (Oral)