Long Zhao @ Google

I am a Senior Research Scientist at Google DeepMind. Before joining Google, I obtained my Ph.D. in Computer Science from Rutgers University in 2022, advised by Professor Dimitris N. Metaxas. I received my M.S. and B.Eng. in Software Engineering from Tongji University. My current research interests are Generative AI and Multimodal Foundation Models.

Email: longzh [at] google [dot] com

Professional Activities

Area Chair of NeurIPS 2025, ICCV 2025, ICML 2025

Organizing Committee of OmniLabel Workshop at ECCV 2024, CVPR 2023

Reviewer of CVPR, ICCV, ECCV, NeurIPS, ICLR, AAAI, TPAMI, TIP

Industry Research

VideoPrism: A Foundational Visual Encoder for Video Understanding

Long Zhao^*, Nitesh B. Gundavarapu^*, Liangzhe Yuan^*, Hao Zhou^*, Shen Yan^#, Jennifer J. Sun^#, Luke Friedman^#, Rui Qian^#, Tobias Weyand, Yue Zhao, Rachel Hornung, Florian Schroff, Ming-Hsuan Yang, David A. Ross, Huisheng Wang, Hartwig Adam, Mikhail Sirotenko⁺, Ting Liu⁺, Boqing Gong⁺. (^*equal primary contributions; ^#equal core technical contributions; ⁺equal senior contributions)

International Conference on Machine Learning (ICML), 2024. [arXiv] [Blog Post] [GitHub]

VideoGLUE: Video General Understanding Evaluation of Foundation Models

Liangzhe Yuan^*, Nitesh B. Gundavarapu^*, Long Zhao^*, Hao Zhou^*, Yin Cui, Lu Jiang, Xuan Yang, Menglin Jia, Tobias Weyand, Luke Friedman, Mikhail Sirotenko, Huisheng Wang, Florian Schroff, Hartwig Adam, Ming-Hsuan Yang, Ting Liu, Boqing Gong. (^*equal technical contributions)

Transactions on Machine Learning Research (TMLR), 2024. [arXiv] [GitHub]

Selected Publications

Epsilon-VAE: Denoising as Visual Decoding

Long Zhao, Sanghyun Woo, Ziyu Wan, Yandong Li, Han Zhang, Boqing Gong, Hartwig Adam, Xuhui Jia, Ting Liu.

International Conference on Machine Learning (ICML), 2025. [arXiv]

Distilling Vision-Language Models on Millions of Videos

Yue Zhao, Long Zhao, Xingyi Zhou, Jialin Wu, Chun-Te Chu, Hui Miao, Florian Schroff, Hartwig Adam, Ting Liu, Boqing Gong, Philipp Krähenbühl, Liangzhe Yuan.

IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 2024. [arXiv]

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.

IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 2024. [arXiv] [GitHub]

Structured Video-Language Modeling with Temporal Grouping and Spatial Grounding

Yuanhao Xiong, Long Zhao, Boqing Gong, Ming-Hsuan Yang, Florian Schroff, Ting Liu, Cho-Jui Hsieh, Liangzhe Yuan.

International Conference on Learning Representations (ICLR), 2024. [arXiv]

Learning from Semantic Alignment between Unpaired Multiviews for Egocentric Video Recognition

Qitong Wang, Long Zhao, Liangzhe Yuan, Ting Liu, Xi Peng.

IEEE/CVF International Conference on Computer Vision (ICCV), 2023. [arXiv] [GitHub]

Unified Visual Relationship Detection with Vision and Language Models

Long Zhao, Liangzhe Yuan, Boqing Gong, Yin Cui, Florian Schroff, Ming-Hsuan Yang, Hartwig Adam, Ting Liu.

IEEE/CVF International Conference on Computer Vision (ICCV), 2023. [arXiv] [GitHub]

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.

European Conference on Computer Vision (ECCV), 2022. [arXiv] [GitHub]

Hierarchically Self-Supervised Transformer for Human Skeleton Representation Learning

Yuxiao Chen, Long Zhao, Jianbo Yuan, Yu Tian, Zhaoyang Xia, Shijie Geng, Ligong Han, Dimitris N. Metaxas.

European Conference on Computer Vision (ECCV), 2022. [arXiv] [GitHub]

Global Matching with Overlapping Attention for Optical Flow Estimation

Shiyu Zhao, Long Zhao, Zhixing Zhang, Enyu Zhou, Dimitris Metaxas.

IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 2022. [arXiv] [GitHub]

Improved Transformer for High-Resolution GANs

Long Zhao, Zizhao Zhang, Ting Chen, Dimitris N. Metaxas, Han Zhang.

Annual Conference on Neural Information Processing Systems (NeurIPS), 2021. [arXiv] [GitHub]

Learning View-Disentangled Human Pose Representation by Contrastive Cross-View Mutual Information Maximization

Long Zhao, Yuxiao Wang, Jiaping Zhao, Liangzhe Yuan, Jennifer J. Sun, Florian Schroff, Hartwig Adam, Xi Peng, Dimitris Metaxas, Ting Liu.

IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 2021. [arXiv] [GitHub]

Maximum-Entropy Adversarial Data Augmentation for Improved Generalization and Robustness

Long Zhao, Ting Liu, Xi Peng, Dimitris Metaxas.

Annual Conference on Neural Information Processing Systems (NeurIPS), 2020. [arXiv] [GitHub]

Knowledge as Priors: Cross-Modal Knowledge Generalization for Datasets without Superior Knowledge

Long Zhao, Xi Peng, Yuxiao Chen, Mubbasir Kapadia, Dimitris N. Metaxas.

IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 2020. [arXiv]

Learning to Learn Single Domain Generalization

Fengchun Qiao, Long Zhao, Xi Peng.

IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 2020. [arXiv] [GitHub]

Semantic Graph Convolutional Networks for 3D Human Pose Regression

Long Zhao, Xi Peng, Yu Tian, Mubbasir Kapadia, Dimitris N. Metaxas.

IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 2019. [arXiv] [GitHub]

Learning to Forecast and Refine Residual Motion for Image-to-Video Generation

Long Zhao, Xi Peng, Yu Tian, Mubbasir Kapadia, Dimitris N. Metaxas.

European Conference on Computer Vision (ECCV), 2018. [arXiv] [Project Page] [GitHub]