Shiyu Zhao 赵世雨 Rutgers University sz553@rutgers.edu |
I received B.S. and M.S. in 2017 and 2020, respectively, in the School of Software Engineering at Tongji University with the supervision of Prof. Lin Zhang. Currently, I’m pursuing the PhD degree in the Department of Computer Science at Rutgers University with the supervision of Prof. Dimitris Metaxas. My research interest lies in solving computer vision problems with large foundation models. See my research in google scholar or below.
I was research interns/student researchers at Meta/Google/NEC Labs/SenseTimes on Generative Models/Multi-modality Models/LLMs/Vision-and-Language Models/Image Understanding.
I’m actively looking for a full-time position at Industry. Here is my resume.
Selected Publications & Projects
(* indicates equal contributions)
Accelerating Multimodel Large Language Models by Searching Optimal Vision Token Reduction Shiyu Zhao, Zhenting Wang, Felix Juefei-Xu, Xide Xia, Miao Liu, Xiaofang Wang, Mingfu Liang, Ning Zhang, Dimitris N. Metaxas, Licheng Yu Technical report Paper, Code (Coming) |
Generating Enhanced Negatives for Training Language-Based Object Detectors Shiyu Zhao, Long Zhao, Vijay Kumar B.G, Yumin Suh, Dimitris N. Metaxas, Manmohan Chandraker, Samuel Schulter In CVPR 2024 Paper, Code |
Taming Self-Training for Open-Vocabulary Object Detection Shiyu Zhao, Samuel Schulter, Long Zhao, Zhixing Zhang, Vijay Kumar B.G, Yumin Suh, Manmohan Chandraker, Dimitris Metaxas In CVPR 2024 Paper, Code |
Exploiting Unlabeled Data with Vision and Language Models for Object Detection Shiyu Zhao*, Zhixing Zhang*, Samuel Schulter, Long Zhao, Vijay Kumar B.G, Anastasis Stathopoulos, Manmohan Chandraker, Dimitris Metaxas In ECCV, 2022 Paper, Poster, Code, Website |
Global Matching with Overlapping Attention for Optical Flow Estimation Shiyu Zhao, Long Zhao, Zhixing Zhang, Enyu Zhou, Dimitris Metaxas In CVPR, 2022 Paper, Code |
Deep Animation Video Interpolation in the Wild Li Siyao∗, Shiyu Zhao∗, Weijiang Yu, Wenxiu Sun, Dimitris Metaxas, Chen Change Loy, and Ziwei Liu In CVPR, 2021 Paper, Code |
RefineDNet: A Weakly Supervised Refinement Framework for Single Image Dehazing Shiyu Zhao, Lin Zhang, Ying Shen, and Yicong Zhou Transactions on Image Processing, 2021 Paper, Code |
Dehazing Evaluation: Real-world Benchmark Datasets, New Criteria and Baselines Shiyu Zhao, Lin Zhang, Shuaiyi Huang, Ying Shen, and Shengjie Zhao Transactions on Image Processing, 2020 Paper, Code |
A CNN-based Depth Estimation Approach with Multi-scale Sub-pixel Convolutions and A Smoothness Constraint Shiyu Zhao, Lin Zhang, Ying Shen, and Yongning Zhu In ACCV, 2018 Paper, Code |