Liangzhe Yuan

According to our database, Liangzhe Yuan authored at least 23 papers between 2018 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of three.

2024

PolyMaX: General Dense Prediction with Mask Transformer.

Xuan Yang, Liangzhe Yuan, Kimberly Wilber, Astuti Sharma, Xiuye Gu, Siyuan Qiao, Stephanie Debats, Huisheng Wang, Hartwig Adam, Mikhail Sirotenko, Liang-Chieh Chen

Proceedings of the IEEE/CVF Winter Conference on Applications of Computer Vision, 2024

VideoPrism: A Foundational Visual Encoder for Video Understanding.

Long Zhao, Nitesh Bharadwaj 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

Proceedings of the Forty-first International Conference on Machine Learning, 2024

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

Proceedings of the Twelfth International Conference on Learning Representations, 2024

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

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2024

2023

VideoGLUE: Video General Understanding Evaluation of Foundation Models.

Liangzhe Yuan, Nitesh Bharadwaj 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

CoRR, 2023

Spatiotemporally Discriminative Video-Language Pre-Training with Text Grounding.

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

CoRR, 2023

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

Proceedings of the IEEE/CVF International Conference on Computer Vision, 2023

Learning from Semantic Alignment between Unpaired Multiviews for Egocentric Video Recognition.

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

Proceedings of the IEEE/CVF International Conference on Computer Vision, 2023

2022

View-Invariant, Occlusion-Robust Probabilistic Embedding for Human Pose.

Ting Liu, Jennifer J. Sun, Long Zhao, Jiaping Zhao, Liangzhe Yuan, Yuxiao Wang, Liang-Chieh Chen, Florian Schroff, Hartwig Adam

Int. J. Comput. Vis., 2022

Surrogate Gap Minimization Improves Sharpness-Aware Training.

Juntang Zhuang, Boqing Gong, Liangzhe Yuan, Yin Cui, Hartwig Adam, Nicha C. Dvornek, Sekhar Tatikonda, James S. Duncan, Ting Liu

Proceedings of the Tenth International Conference on Learning Representations, 2022

Contextualized Spatio-Temporal Contrastive Learning with Self-Supervision.

Liangzhe Yuan, Rui Qian, Yin Cui, Boqing Gong, Florian Schroff, Ming-Hsuan Yang, Hartwig Adam, Ting Liu

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2022

On Temporal Granularity in Self-Supervised Video Representation Learning.

Rui Qian, Yeqing Li, Liangzhe Yuan, Boqing Gong, Ting Liu, Matthew Brown, Serge J. Belongie, Ming-Hsuan Yang, Hartwig Adam, Yin Cui

Proceedings of the 33rd British Machine Vision Conference 2022, 2022

2021

Exploring Temporal Granularity in Self-Supervised Video Representation Learning.

Rui Qian, Yeqing Li, Liangzhe Yuan, Boqing Gong, Ting Liu, Matthew Brown, Serge J. Belongie, Ming-Hsuan Yang, Hartwig Adam, Yin Cui

CoRR, 2021

DeepLab2: A TensorFlow Library for Deep Labeling.

Mark Weber, Huiyu Wang, Siyuan Qiao, Jun Xie, Maxwell D. Collins, Yukun Zhu, Liangzhe Yuan, Dahun Kim, Qihang Yu, Daniel Cremers, Laura Leal-Taixé, Alan L. Yuille, Florian Schroff, Hartwig Adam, Liang-Chieh Chen

CoRR, 2021

VATT: Transformers for Multimodal Self-Supervised Learning from Raw Video, Audio and Text.

Hassan Akbari, Liangzhe Yuan, Rui Qian, Wei-Hong Chuang, Shih-Fu Chang, Yin Cui, Boqing Gong

Proceedings of the Advances in Neural Information Processing Systems 34: Annual Conference on Neural Information Processing Systems 2021, 2021

MoViNets: Mobile Video Networks for Efficient Video Recognition.

Dan Kondratyuk, Liangzhe Yuan, Yandong Li, Li Zhang, Mingxing Tan, Matthew Brown, Boqing Gong

Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2021

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 N. Metaxas, Ting Liu

Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2021

2019

Human Gaze-Driven Spatial Tasking of an Autonomous MAV.

Liangzhe Yuan, Christopher M. Reardon, Garrett Warnell, Giuseppe Loianno

IEEE Robotics Autom. Lett., 2019

Live Demonstration: Unsupervised Event-Based Learning of Optical Flow, Depth and Egomotion.

Alex Zihao Zhu, Liangzhe Yuan, Kenneth Chaney, Kostas Daniilidis

Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition Workshops, 2019

Unsupervised Event-Based Learning of Optical Flow, Depth, and Egomotion.

Alex Zihao Zhu, Liangzhe Yuan, Kenneth Chaney, Kostas Daniilidis

Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2019

Zoom-In-To-Check: Boosting Video Interpolation via Instance-Level Discrimination.

Liangzhe Yuan, Yibo Chen, Hantian Liu, Tao Kong, Jianbo Shi

Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2019

2018

EV-FlowNet: Self-Supervised Optical Flow Estimation for Event-based Cameras.

Alex Zihao Zhu, Liangzhe Yuan, Kenneth Chaney, Kostas Daniilidis

Proceedings of the Robotics: Science and Systems XIV, 2018

Unsupervised Event-Based Optical Flow Using Motion Compensation.

Alex Zihao Zhu, Liangzhe Yuan, Kenneth Chaney, Kostas Daniilidis

Proceedings of the Computer Vision - ECCV 2018 Workshops, 2018