About Chen Zhao Chen Zhao Former members, Electrical and Computer Engineering Deep learning Computer Vision Compressive Sensing image and video processing Video Understanding Reversible networks Chen Zhao was a Research Scientist at KAUST, and Lead of the Video Understanding Theme in the Image and Video Understanding Lab. She received her Ph.D. degree from Peking University, China in 2016. She studied in University of Washington, US from 2012 to 2013, and at the National Institute of Informatics, Japan in 2016. She has published 40+ papers on representative journals and conferences such as TPAMI, CVPR, ICCV, ECCV, and has received over 3000 citations according to Google Scholar. Articles Related News March 2026 Five IVUL Papers Accepted to CVPR 2026 1 min read · Sun, Mar 1 2026 News CVPR IVUL has five papers accepted to CVPR 2026, which will be held in Denver, Colorado, June 3–7, 2026. The accepted papers are: β-CLIP: Text-Conditioned Contrastive Learning for Multi-Granular Vision-Language Alignment Authors: Fatimah Zohra, Chen Zhao, Hani Itani, Bernard Ghanem Affiliations: KAUST CURE: Curriculum-Guided Multi-Task Training for Reliable Anatomy-Grounded Report Generation Authors: Pablo Messina, Andrés Villa, Juan León Alcázar, Karen Sánchez, Carlos Hinojosa, Denis Parra, Álvaro Soto, Bernard Ghanem Affiliations: KAUST; Pontificia Universidad Católica de Chile EasyV2V: A High June 2021 Seven IVUL members recognized as Outstanding Reviewers by CVPR 2021 1 min read · Sun, Jun 13 2021 News Computer Vision Pattern Recognition artificial intelligence The 2021 IEEE Conference on Computer Vision and Pattern Recognition (CVPR) has granted Outstanding Reviewer awards to seven members of IVUL: Alejandro Pardo, Ali Thabet, Chen Zhao, Mattia Soldan, Mengmeng Xu, Juan C. Pérez, and Silvio Giancola. CVPR, a premier annual computer vision event that will take place virtually from June 19th to June 25th, is the largest computer vision conference in the world, gathering researchers from academia and industry alike. The peer-review process through which the conference determines acceptance of papers relies on expert reviewers from across the world
Five IVUL Papers Accepted to CVPR 2026 1 min read · Sun, Mar 1 2026 News CVPR IVUL has five papers accepted to CVPR 2026, which will be held in Denver, Colorado, June 3–7, 2026. The accepted papers are: β-CLIP: Text-Conditioned Contrastive Learning for Multi-Granular Vision-Language Alignment Authors: Fatimah Zohra, Chen Zhao, Hani Itani, Bernard Ghanem Affiliations: KAUST CURE: Curriculum-Guided Multi-Task Training for Reliable Anatomy-Grounded Report Generation Authors: Pablo Messina, Andrés Villa, Juan León Alcázar, Karen Sánchez, Carlos Hinojosa, Denis Parra, Álvaro Soto, Bernard Ghanem Affiliations: KAUST; Pontificia Universidad Católica de Chile EasyV2V: A High
Seven IVUL members recognized as Outstanding Reviewers by CVPR 2021 1 min read · Sun, Jun 13 2021 News Computer Vision Pattern Recognition artificial intelligence The 2021 IEEE Conference on Computer Vision and Pattern Recognition (CVPR) has granted Outstanding Reviewer awards to seven members of IVUL: Alejandro Pardo, Ali Thabet, Chen Zhao, Mattia Soldan, Mengmeng Xu, Juan C. Pérez, and Silvio Giancola. CVPR, a premier annual computer vision event that will take place virtually from June 19th to June 25th, is the largest computer vision conference in the world, gathering researchers from academia and industry alike. The peer-review process through which the conference determines acceptance of papers relies on expert reviewers from across the world
Related Sites Center of Excellence for Generative AI (GenAI) Electrical and Computer Engineering (ECE) Image and Video Understanding Lab (IVUL) Related Content Articles 2 Events 1 Related Links Chen Zhao personal website Google Scholar
