Yuning Chai

50 papers A* 17Misc 2Journal 27Unranked 3
YearRankTypeTitle / Venue / Authors
2026 J jnl
Agentic Very Long Video Understanding.
CoRR
Aniket Rege, Arka Sadhu, Yuliang Li, Kejie Li, Ramya Korlakai Vinayak, Yuning Chai, Yong Jae Lee, Hyo Jin Kim
2025 A* conf
Cohere3D: Exploiting Temporal Coherence for Unsupervised Representation Learning of Vision-Based Autonomous Driving.
ICRA
Yichen Xie, Hongge Chen, Gregory P. Meyer, Yong Jae Lee, Eric M. Wolff, Masayoshi Tomizuka, Wei Zhan, Yuning Chai, Xin Huang
2025 A* conf
DriveGPT: Scaling Autoregressive Behavior Models for Driving.
ICML
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 S. Srinivasa
2025 A* conf
Generative Data Mining with Longtail-Guided Diffusion.
ICML
David S. Hayden, Mao Ye, Timur Garipov, Gregory P. Meyer, Carl Vondrick, Zhao Chen, Yuning Chai, Eric M. Wolff, Siddhartha S. Srinivasa
2025 J jnl
Generative Data Mining with Longtail-Guided Diffusion.
CoRR
David S. Hayden, Mao Ye, Timur Garipov, Gregory P. Meyer, Carl Vondrick, Zhao Chen, Yuning Chai, Eric M. Wolff, Siddhartha S. Srinivasa
2025 J jnl
Reading Recognition in the Wild.
CoRR
Charig Yang, Samiul Alam, Shakhrul Iman Siam, Michael J. Proulx, Lambert Mathias, Kiran K. Somasundaram, Luis Pesqueira, James Fort, Sheroze Sheriffdeen, Omkar M. Parkhi, Carl Yuheng Ren, Mi Zhang, Yuning Chai, Richard A. Newcombe, Hyo Jin Kim
2025 — conf
VLMine: Long-Tail Data Mining with Vision Language Models.
WACV (Workshops)
Mao Ye, Gregory P. Meyer, Zaiwei Zhang, Dennis Park, Siva Karthik Mustikovela, Yuning Chai, Eric M. Wolff
2024 J jnl
Cohere3D: Exploiting Temporal Coherence for Unsupervised Representation Learning of Vision-based Autonomous Driving.
CoRR
Yichen Xie, Hongge Chen, Gregory P. Meyer, Yong Jae Lee, Eric M. Wolff, Masayoshi Tomizuka, Wei Zhan, Yuning Chai, Xin Huang
2024 J jnl
DriveGPT: Scaling Autoregressive Behavior Models for Driving.
CoRR
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 S. Srinivasa
2024 J jnl
PROFIT: A Specialized Optimizer for Deep Fine Tuning.
CoRR
Anirudh Srinivasan Chakravarthy, Shuai Kyle Zheng, Xin Huang, Sachithra Hemachandra, Xiao Zhang, Yuning Chai, Zhao Chen
2024 J jnl
VLMine: Long-Tail Data Mining with Vision Language Models.
CoRR
Mao Ye, Gregory P. Meyer, Zaiwei Zhang, Dennis Park, Siva Karthik Mustikovela, Yuning Chai, Eric M. Wolff
2024 A* conf
ViP-LLaVA: Making Large Multimodal Models Understand Arbitrary Visual Prompts.
CVPR
Mu Cai, Haotian Liu, Siva Karthik Mustikovela, Gregory P. Meyer, Yuning Chai, Dennis Park, Yong Jae Lee
2023 A* conf
Efficient Transformer-based 3D Object Detection with Dynamic Token Halting.
ICCV
Mao Ye, Gregory P. Meyer, Yuning Chai, Qiang Liu
2023 J jnl
Efficient Transformer-based 3D Object Detection with Dynamic Token Halting.
CoRR
Mao Ye, Gregory P. Meyer, Yuning Chai, Qiang Liu
2023 J jnl
Making Large Multimodal Models Understand Arbitrary Visual Prompts.
CoRR
Mu Cai, Haotian Liu, Siva Karthik Mustikovela, Gregory P. Meyer, Yuning Chai, Dennis Park, Yong Jae Lee
2023 — conf
NOVA: NOvel View Augmentation for Neural Composition of Dynamic Objects.
ICCV (Workshops)
Dakshit Agrawal, Jiajie Xu, Siva Karthik Mustikovela, Ioannis Gkioulekas, Ashish Shrivastava, Yuning Chai
2023 J jnl
NOVA: NOvel View Augmentation for Neural Composition of Dynamic Objects.
CoRR
Dakshit Agrawal, Jiajie Xu, Siva Karthik Mustikovela, Ioannis Gkioulekas, Ashish Shrivastava, Yuning Chai
2023 A* conf
SHIFT3D: Synthesizing Hard Inputs For Tricking 3D Detectors.
ICCV
Hongge Chen, Zhao Chen, Gregory P. Meyer, Dennis Park, Carl Vondrick, Ashish Shrivastava, Yuning Chai
2023 J jnl
SHIFT3D: Synthesizing Hard Inputs For Tricking 3D Detectors.
CoRR
Hongge Chen, Zhao Chen, Gregory P. Meyer, Dennis Park, Carl Vondrick, Ashish Shrivastava, Yuning Chai
2022 J jnl
Occupancy Flow Fields for Motion Forecasting in Autonomous Driving.
CoRR
Reza Mahjourian, Jinkyu Kim, Yuning Chai, Mingxing Tan, Benjamin Sapp, Dragomir Anguelov
2022 J jnl
Occupancy Flow Fields for Motion Forecasting in Autonomous Driving.
IEEE Robotics Autom. Lett.
Reza Mahjourian, Jinkyu Kim, Yuning Chai, Mingxing Tan, Ben Sapp, Dragomir Anguelov
2021 A* conf
HDMapGen: A Hierarchical Graph Generative Model of High Definition Maps.
CVPR
Lu Mi, Hang Zhao, Charlie Nash, Xiaohan Jin, Jiyang Gao, Chen Sun, Cordelia Schmid, Nir Shavit, Yuning Chai, Dragomir Anguelov
2021 J jnl
HDMapGen: A Hierarchical Graph Generative Model of High Definition Maps.
CoRR
Lu Mi, Hang Zhao, Charlie Nash, Xiaohan Jin, Jiyang Gao, Chen Sun, Cordelia Schmid, Nir Shavit, Yuning Chai, Dragomir Anguelov
2021 A* conf
Large Scale Interactive Motion Forecasting for Autonomous Driving : The Waymo Open Motion Dataset.
ICCV
Scott Ettinger, Shuyang Cheng, Benjamin Caine, Chenxi Liu, Hang Zhao, Sabeek Pradhan, Yuning Chai, Ben Sapp, Charles R. Qi, Yin Zhou, Zoey Yang, Aurelien Chouard, Pei Sun, Jiquan Ngiam, Vijay Vasudevan, Alexander McCauley, Jonathon Shlens, Dragomir Anguelov
2021 J jnl
Large Scale Interactive Motion Forecasting for Autonomous Driving : The Waymo Open Motion Dataset.
CoRR
Scott Ettinger, Shuyang Cheng, Benjamin Caine, Chenxi Liu, Hang Zhao, Sabeek Pradhan, Yuning Chai, Benjamin Sapp, Charles R. Qi, Yin Zhou, Zoey Yang, Aurelien Chouard, Pei Sun, Jiquan Ngiam, Vijay Vasudevan, Alexander McCauley, Jonathon Shlens, Dragomir Anguelov
2021 J jnl
Pseudo-labeling for Scalable 3D Object Detection.
CoRR
Benjamin Caine, Rebecca Roelofs, Vijay Vasudevan, Jiquan Ngiam, Yuning Chai, Zhifeng Chen, Jonathon Shlens
2021 A* conf
RSN: Range Sparse Net for Efficient, Accurate LiDAR 3D Object Detection.
CVPR
Pei Sun, Weiyue Wang, Yuning Chai, Gamaleldin Elsayed, Alex Bewley, Xiao Zhang, Cristian Sminchisescu, Dragomir Anguelov
2021 J jnl
RSN: Range Sparse Net for Efficient, Accurate LiDAR 3D Object Detection.
CoRR
Pei Sun, Weiyue Wang, Yuning Chai, Gamaleldin Elsayed, Alex Bewley, Xiao Zhang, Cristian Sminchisescu, Dragomir Anguelov
2021 A* conf
To the Point: Efficient 3D Object Detection in the Range Image With Graph Convolution Kernels.
CVPR
Yuning Chai, Pei Sun, Jiquan Ngiam, Weiyue Wang, Benjamin Caine, Vijay Vasudevan, Xiao Zhang, Dragomir Anguelov
2021 J jnl
To the Point: Efficient 3D Object Detection in the Range Image with Graph Convolution Kernels.
CoRR
Yuning Chai, Pei Sun, Jiquan Ngiam, Weiyue Wang, Benjamin Caine, Vijay Vasudevan, Xiao Zhang, Dragomir Anguelov
2020 A* conf
Just Pick a Sign: Optimizing Deep Multitask Models with Gradient Sign Dropout.
NeurIPS
Zhao Chen, Jiquan Ngiam, Yanping Huang, Thang Luong, Henrik Kretzschmar, Yuning Chai, Dragomir Anguelov
2020 J jnl
Just Pick a Sign: Optimizing Deep Multitask Models with Gradient Sign Dropout.
CoRR
Zhao Chen, Jiquan Ngiam, Yanping Huang, Thang Luong, Henrik Kretzschmar, Yuning Chai, Dragomir Anguelov
2020 A* conf
Scalability in Perception for Autonomous Driving: Waymo Open Dataset.
CVPR
Pei Sun, Henrik Kretzschmar, Xerxes Dotiwalla, Aurelien Chouard, Vijaysai Patnaik, Paul Tsui, James Guo, Yin Zhou, Yuning Chai, Benjamin Caine, Vijay Vasudevan, Wei Han, Jiquan Ngiam, Hang Zhao, Aleksei Timofeev, Scott Ettinger, Maxim Krivokon, Amy Gao, Aditya Joshi, Yu Zhang, Jonathon Shlens, Zhifeng Chen, Dragomir Anguelov
2020 J jnl
SoDA: Multi-Object Tracking with Soft Data Association.
CoRR
Wei-Chih Hung, Henrik Kretzschmar, Tsung-Yi Lin, Yuning Chai, Ruichi Yu, Ming-Hsuan Yang, Dragomir Anguelov
2020 A* conf
SurfelGAN: Synthesizing Realistic Sensor Data for Autonomous Driving.
CVPR
Zhenpei Yang, Yuning Chai, Dragomir Anguelov, Yin Zhou, Pei Sun, Dumitru Erhan, Sean Rafferty, Henrik Kretzschmar
2020 J jnl
SurfelGAN: Synthesizing Realistic Sensor Data for Autonomous Driving.
CoRR
Zhenpei Yang, Yuning Chai, Dragomir Anguelov, Yin Zhou, Pei Sun, Dumitru Erhan, Sean Rafferty, Henrik Kretzschmar
2020 J jnl
TNT: Target-driveN Trajectory Prediction.
CoRR
Hang Zhao, Jiyang Gao, Tian Lan, Chen Sun, Benjamin Sapp, Balakrishnan Varadarajan, Yue Shen, Yi Shen, Yuning Chai, Cordelia Schmid, Congcong Li, Dragomir Anguelov
2020 Misc conf
TNT: Target-driven Trajectory Prediction.
CoRL
Hang Zhao, Jiyang Gao, Tian Lan, Chen Sun, Benjamin Sapp, Balakrishnan Varadarajan, Yue Shen, Yi Shen, Yuning Chai, Cordelia Schmid, Congcong Li, Dragomir Anguelov
2019 A* conf
FEELVOS: Fast End-To-End Embedding Learning for Video Object Segmentation.
CVPR
Paul Voigtlaender, Yuning Chai, Florian Schroff, Hartwig Adam, Bastian Leibe, Liang-Chieh Chen
2019 J jnl
FEELVOS: Fast End-to-End Embedding Learning for Video Object Segmentation.
CoRR
Paul Voigtlaender, Yuning Chai, Florian Schroff, Hartwig Adam, Bastian Leibe, Liang-Chieh Chen
2019 Misc conf
MultiPath: Multiple Probabilistic Anchor Trajectory Hypotheses for Behavior Prediction.
CoRL
Yuning Chai, Benjamin Sapp, Mayank Bansal, Dragomir Anguelov
2019 J jnl
MultiPath: Multiple Probabilistic Anchor Trajectory Hypotheses for Behavior Prediction.
CoRR
Yuning Chai, Benjamin Sapp, Mayank Bansal, Dragomir Anguelov
2019 A* conf
Patchwork: A Patch-Wise Attention Network for Efficient Object Detection and Segmentation in Video Streams.
ICCV
Yuning Chai
2019 J jnl
Patchwork: A Patch-wise Attention Network for Efficient Object Detection and Segmentation in Video Streams.
CoRR
Yuning Chai
2019 J jnl
Scalability in Perception for Autonomous Driving: Waymo Open Dataset.
CoRR
Pei Sun, Henrik Kretzschmar, Xerxes Dotiwalla, Aurelien Chouard, Vijaysai Patnaik, Paul Tsui, James Guo, Yin Zhou, Yuning Chai, Benjamin Caine, Vijay Vasudevan, Wei Han, Jiquan Ngiam, Hang Zhao, Aleksei Timofeev, Scott Ettinger, Maxim Krivokon, Amy Gao, Aditya Joshi, Yu Zhang, Jonathon Shlens, Zhifeng Chen, Dragomir Anguelov
2019 J jnl
StarNet: Targeted Computation for Object Detection in Point Clouds.
CoRR
Jiquan Ngiam, Benjamin Caine, Wei Han, Brandon Yang, Yuning Chai, Pei Sun, Yin Zhou, Xi Yi, Ouais Alsharif, Patrick Nguyen, Zhifeng Chen, Jonathon Shlens, Vijay Vasudevan
2015 — —
Advances in fine-grained visual categorization.
Yuning Chai
2013 A* conf
Symbiotic Segmentation and Part Localization for Fine-Grained Categorization.
ICCV
Yuning Chai, Victor S. Lempitsky, Andrew Zisserman
2012 — conf
TriCoS: A Tri-level Class-Discriminative Co-segmentation Method for Image Classification.
ECCV (1)
Yuning Chai, Esa Rahtu, Victor S. Lempitsky, Luc Van Gool, Andrew Zisserman
2011 A* conf
BiCoS: A Bi-level co-segmentation method for image classification.
ICCV
Yuning Chai, Victor S. Lempitsky, Andrew Zisserman