BiCoS: A Bi-level co-segmentation method for image classification. - Yuning Chai; Victor S. Lempitsky; Andrew Zisserman (ICCV, 2011)

TriCoS: A Tri-level Class-Discriminative Co-segmentation Method for Image Classification. - Yuning Chai; Esa Rahtu; Victor S. Lempitsky; Luc Van Gool; Andrew Zisserman (ECCV (1), 2012)

Symbiotic Segmentation and Part Localization for Fine-Grained Categorization. - Yuning Chai; Victor S. Lempitsky; Andrew Zisserman (ICCV, 2013)

Advances in fine-grained visual categorization. - Yuning Chai (2015)

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

FEELVOS: Fast End-To-End Embedding Learning for Video Object Segmentation. - Paul Voigtlaender; Yuning Chai; Florian Schroff; Hartwig Adam; Bastian Leibe; Liang-Chieh Chen (CVPR, 2019)

Patchwork: A Patch-Wise Attention Network for Efficient Object Detection and Segmentation in Video Streams. - Yuning Chai (ICCV, 2019)

StarNet: Targeted Computation for Object Detection in Point Clouds. - Jiquan Ngiam; Benjamin Caine; Wei Han 002; Brandon Yang; Yuning Chai; Pei Sun; Yin Zhou; Xi Yi; Ouais Alsharif; Patrick Nguyen; Zhifeng Chen; Jonathon Shlens; et al. (CoRR, 2019)

TNT: Target-driven Trajectory Prediction. - Hang Zhao; Jiyang Gao; Tian Lan; Chen Sun 002; Benjamin Sapp; Balakrishnan Varadarajan; Yue Shen; Yi Shen; Yuning Chai; Cordelia Schmid; Congcong Li; Dragomir Anguelov (CoRL, 2020)

Scalability in Perception for Autonomous Driving: Waymo Open Dataset. - Pei Sun; Henrik Kretzschmar; Xerxes Dotiwalla; Aurelien Chouard; Vijaysai Patnaik; Paul Tsui; James Guo; Yin Zhou; Yuning Chai; Benjamin Caine; Vijay Vasudevan; Wei Han 002; et al. (CVPR, 2020)

SurfelGAN: Synthesizing Realistic Sensor Data for Autonomous Driving. - Zhenpei Yang; Yuning Chai; Dragomir Anguelov; Yin Zhou; Pei Sun; Dumitru Erhan; Sean Rafferty; Henrik Kretzschmar (CVPR, 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 (NeurIPS, 2020)

SoDA: Multi-Object Tracking with Soft Data Association. - Wei-Chih Hung; Henrik Kretzschmar; Tsung-Yi Lin; Yuning Chai; Ruichi Yu; Ming-Hsuan Yang 001; Dragomir Anguelov (CoRR, 2020)

To the Point: Efficient 3D Object Detection in the Range Image With Graph Convolution Kernels. - Yuning Chai; Pei Sun; Jiquan Ngiam; Weiyue Wang 002; Benjamin Caine; Vijay Vasudevan; Xiao Zhang; Dragomir Anguelov (CVPR, 2021)

HDMapGen: A Hierarchical Graph Generative Model of High Definition Maps. - Lu Mi; Hang Zhao; Charlie Nash; Xiaohan Jin; Jiyang Gao; Chen Sun 002; Cordelia Schmid; Nir Shavit; Yuning Chai; Dragomir Anguelov (CVPR, 2021)

RSN: Range Sparse Net for Efficient, Accurate LiDAR 3D Object Detection. - Pei Sun; Weiyue Wang 002; Yuning Chai; Gamaleldin Elsayed; Alex Bewley; Xiao Zhang; Cristian Sminchisescu; Dragomir Anguelov (CVPR, 2021)

Large Scale Interactive Motion Forecasting for Autonomous Driving : The Waymo Open Motion Dataset. - Scott Ettinger; Shuyang Cheng; Benjamin Caine; Chenxi Liu 001; Hang Zhao; Sabeek Pradhan; Yuning Chai; Ben Sapp; Charles R. Qi; Yin Zhou; Zoey Yang; Aurelien Chouard; et al. (ICCV, 2021)

Pseudo-labeling for Scalable 3D Object Detection. - Benjamin Caine; Rebecca Roelofs; Vijay Vasudevan; Jiquan Ngiam; Yuning Chai; Zhifeng Chen; Jonathon Shlens (CoRR, 2021)

Occupancy Flow Fields for Motion Forecasting in Autonomous Driving. - Reza Mahjourian; Jinkyu Kim; Yuning Chai; Mingxing Tan; Ben Sapp; Dragomir Anguelov (IEEE Robotics Autom. Lett., 2022)

Efficient Transformer-based 3D Object Detection with Dynamic Token Halting. - Mao Ye 006; Gregory P. Meyer; Yuning Chai; Qiang Liu 001 (ICCV, 2023)

SHIFT3D: Synthesizing Hard Inputs For Tricking 3D Detectors. - Hongge Chen; Zhao Chen; Gregory P. Meyer; Dennis Park; Carl Vondrick; Ashish Shrivastava 001; Yuning Chai (ICCV, 2023)

NOVA: NOvel View Augmentation for Neural Composition of Dynamic Objects. - Dakshit Agrawal; Jiajie Xu; Siva Karthik Mustikovela; Ioannis Gkioulekas; Ashish Shrivastava 001; Yuning Chai (ICCV (Workshops), 2023)

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 (CoRR, 2023)

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 (CVPR, 2024)

Cohere3D: Exploiting Temporal Coherence for Unsupervised Representation Learning of Vision-based Autonomous Driving. - Yichen Xie 002; Hongge Chen; Gregory P. Meyer; Yong Jae Lee; Eric M. Wolff; Masayoshi Tomizuka; Wei Zhan; Yuning Chai; Xin Huang (CoRR, 2024)

PROFIT: A Specialized Optimizer for Deep Fine Tuning. - Anirudh Srinivasan Chakravarthy; Shuai Kyle Zheng; Xin Huang; Sachithra Hemachandra; Xiao Zhang; Yuning Chai; Zhao Chen (CoRR, 2024)

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; et al. (CoRR, 2024)

VLMine: Long-Tail Data Mining with Vision Language Models. - Mao Ye 006; Gregory P. Meyer; Zaiwei Zhang; Dennis Park; Siva Karthik Mustikovela; Yuning Chai; Eric M. Wolff (WACV (Workshops), 2025)

Generative Data Mining with Longtail-Guided Diffusion. - David S. Hayden; Mao Ye 006; Timur Garipov; Gregory P. Meyer; Carl Vondrick; Zhao Chen; Yuning Chai; Eric M. Wolff; Siddhartha S. Srinivasa (CoRR, 2025)

Reading Recognition in the Wild. - 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 002; et al. (CoRR, 2025)