Zhengbo Zhang

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

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Selected publications

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 (Long Oral)

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