Chai, Yuning

18 publications

ICML 2025 DriveGPT: Scaling Autoregressive Behavior Models for Driving Xin Huang, Eric M Wolff, Paul Vernaza, Tung Phan-Minh, Hongge Chen, David S Hayden, Mark Edmonds, Brian Pierce, Xinxin Chen, Pratik Elias Jacob, Xiaobai Chen, Chingiz Tairbekov, Pratik Agarwal, Tianshi Gao, Yuning Chai, Siddhartha Srinivasa

ICML 2025 Generative Data Mining with Longtail-Guided Diffusion David S Hayden, Mao Ye, Timur Garipov, Gregory P. Meyer, Carl Vondrick, Zhao Chen, Yuning Chai, Eric M Wolff, Siddhartha Srinivasa

NeurIPS 2025 PROFIT: A Specialized Optimizer for Deep Fine Tuning Anirudh S Chakravarthy, Shuai Kyle Zheng, Xin Huang, Sachithra Hemachandra, Xiao Zhang, Yuning Chai, Zhao Chen

NeurIPS 2025 Reading Recognition in the Wild Charig Yang, Samiul Alam, Shakhrul Iman Siam, Michael J. Proulx, Lambert Mathias, Kiran Somasundaram, Luis Pesqueira, James Fort, Sheroze Sheriffdeen, Omkar Parkhi, Yuheng Ren, Mi Zhang, Yuning Chai, Richard Newcombe, Hyo Jin Kim

CVPR 2024 ViP-LLaVA: Making Large Multimodal Models Understand Arbitrary Visual Prompts Mu Cai, Haotian Liu, Siva Karthik Mustikovela, Gregory P. Meyer, Yuning Chai, Dennis Park, Yong Jae Lee

ICCV 2023 Efficient Transformer-Based 3D Object Detection with Dynamic Token Halting Mao Ye, Gregory P. Meyer, Yuning Chai, Qiang Liu

ICCVW 2023 NOVA: NOvel View Augmentation for Neural Composition of Dynamic Objects Dakshit Agrawal, Jiajie Xu, Siva Karthik Mustikovela, Ioannis Gkioulekas, Ashish Shrivastava, Yuning Chai

ICCV 2023 SHIFT3D: Synthesizing Hard Inputs for Tricking 3D Detectors Hongge Chen, Zhao Chen, Gregory P. Meyer, Dennis Park, Carl Vondrick, Ashish Shrivastava, Yuning Chai

CVPR 2021 HDMapGen: A Hierarchical Graph Generative Model of High Definition Maps Lu Mi, Hang Zhao, Charlie Nash, Xiaohan Jin, Jiyang Gao, Chen Sun, Cordelia Schmid, Nir Shavit, Yuning Chai, Dragomir Anguelov

ICCV 2021 Large Scale Interactive Motion Forecasting for Autonomous Driving: The Waymo Open Motion Dataset Scott Ettinger, Shuyang Cheng, Benjamin Caine, Chenxi Liu, Hang Zhao, Sabeek Pradhan, Yuning Chai, Ben Sapp, Charles R. Qi, Yin Zhou, Zoey Yang, Aurélien Chouard, Pei Sun, Jiquan Ngiam, Vijay Vasudevan, Alexander McCauley, Jonathon Shlens, Dragomir Anguelov

CVPR 2021 RSN: Range Sparse Net for Efficient, Accurate LiDAR 3D Object Detection Pei Sun, Weiyue Wang, Yuning Chai, Gamaleldin Elsayed, Alex Bewley, Xiao Zhang, Cristian Sminchisescu, Dragomir Anguelov

CVPR 2021 To the Point: Efficient 3D Object Detection in the Range Image with Graph Convolution Kernels Yuning Chai, Pei Sun, Jiquan Ngiam, Weiyue Wang, Benjamin Caine, Vijay Vasudevan, Xiao Zhang, Dragomir Anguelov

NeurIPS 2020 Just Pick a Sign: Optimizing Deep Multitask Models with Gradient Sign Dropout Zhao Chen, Jiquan Ngiam, Yanping Huang, Thang Luong, Henrik Kretzschmar, Yuning Chai, Dragomir Anguelov

CoRL 2020 TNT: Target-Driven Trajectory Prediction Hang Zhao, Jiyang Gao, Tian Lan, Chen Sun, Ben Sapp, Balakrishnan Varadarajan, Yue Shen, Yi Shen, Yuning Chai, Cordelia Schmid, Congcong Li, Dragomir Anguelov

CoRL 2019 MultiPath: Multiple Probabilistic Anchor Trajectory Hypotheses for Behavior Prediction Yuning Chai, Benjamin Sapp, Mayank Bansal, Dragomir Anguelov

ICCV 2013 Symbiotic Segmentation and Part Localization for Fine-Grained Categorization Yuning Chai, Victor Lempitsky, Andrew Zisserman

ECCV 2012 TriCoS: A Tri-Level Class-Discriminative Co-Segmentation Method for Image Classification Yuning Chai, Esa Rahtu, Victor S. Lempitsky, Luc Van Gool, Andrew Zisserman

ICCV 2011 BiCoS: A Bi-Level Co-Segmentation Method for Image Classification Yuning Chai, Victor S. Lempitsky, Andrew Zisserman