Yuning Chai

According to our database, Yuning Chai authored at least 26 papers between 2011 and 2024.

Collaborative distances:

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

2024

VLMine: Long-Tail Data Mining with Vision Language Models.

Mao Ye, Gregory P. Meyer, Zaiwei Zhang, Dennis Park, Siva Karthik Mustikovela, Yuning Chai, Eric M. Wolff

CoRR, 2024

Cohere3D: Exploiting Temporal Coherence for Unsupervised Representation Learning of Vision-based Autonomous Driving.

Yichen Xie, Hongge Chen, Gregory P. Meyer, Yong Jae Lee, Eric M. Wolff, Masayoshi Tomizuka, Wei Zhan, Yuning Chai, Xin Huang

CoRR, 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

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

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

NOVA: NOvel View Augmentation for Neural Composition of Dynamic Objects.

Dakshit Agrawal, Jiajie Xu, Siva Karthik Mustikovela, Ioannis Gkioulekas, Ashish Shrivastava, Yuning Chai

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

SHIFT3D: Synthesizing Hard Inputs For Tricking 3D Detectors.

Hongge Chen, Zhao Chen, Gregory P. Meyer, Dennis Park, Carl Vondrick, Ashish Shrivastava, Yuning Chai

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

Efficient Transformer-based 3D Object Detection with Dynamic Token Halting.

Mao Ye, Gregory P. Meyer, Yuning Chai, Qiang Liu

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

2022

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

2021

Pseudo-labeling for Scalable 3D Object Detection.

Benjamin Caine, Rebecca Roelofs, Vijay Vasudevan, Jiquan Ngiam, Yuning Chai, Zhifeng Chen, Jonathon Shlens

CoRR, 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, Aurelien Chouard, Pei Sun, Jiquan Ngiam, Vijay Vasudevan, Alexander McCauley, Jonathon Shlens, Dragomir Anguelov

Proceedings of the 2021 IEEE/CVF International Conference on Computer Vision, 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

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

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

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

2020

SoDA: Multi-Object Tracking with Soft Data Association.

Wei-Chih Hung, Henrik Kretzschmar, Tsung-Yi Lin, Yuning Chai, Ruichi Yu, Ming-Hsuan Yang, Dragomir Anguelov

CoRR, 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

Proceedings of the Advances in Neural Information Processing Systems 33: Annual Conference on Neural Information Processing Systems 2020, 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

Proceedings of the 2020 IEEE/CVF Conference on Computer Vision and Pattern Recognition, 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, Jiquan Ngiam, Hang Zhao, Aleksei Timofeev, Scott Ettinger, Maxim Krivokon, Amy Gao, Aditya Joshi, Yu Zhang, Jonathon Shlens, Zhifeng Chen, Dragomir Anguelov

Proceedings of the 2020 IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2020

TNT: Target-driven Trajectory Prediction.

Hang Zhao, Jiyang Gao, Tian Lan, Chen Sun, Benjamin Sapp, Balakrishnan Varadarajan, Yue Shen, Yi Shen, Yuning Chai, Cordelia Schmid, Congcong Li, Dragomir Anguelov

Proceedings of the 4th Conference on Robot Learning, 2020

2019

StarNet: Targeted Computation for Object Detection in Point Clouds.

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

CoRR, 2019

Patchwork: A Patch-Wise Attention Network for Efficient Object Detection and Segmentation in Video Streams.

Yuning Chai

Proceedings of the 2019 IEEE/CVF International Conference on Computer Vision, 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

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

MultiPath: Multiple Probabilistic Anchor Trajectory Hypotheses for Behavior Prediction.

Yuning Chai, Benjamin Sapp, Mayank Bansal, Dragomir Anguelov

Proceedings of the 3rd Annual Conference on Robot Learning, 2019

2015

Advances in fine-grained visual categorization.

Yuning Chai

PhD thesis, 2015

2013

Symbiotic Segmentation and Part Localization for Fine-Grained Categorization.

Yuning Chai, Victor S. Lempitsky, Andrew Zisserman

Proceedings of the IEEE International Conference on Computer Vision, 2013

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

Proceedings of the Computer Vision - ECCV 2012, 2012

2011

BiCoS: A Bi-level co-segmentation method for image classification.

Yuning Chai, Victor S. Lempitsky, Andrew Zisserman

Proceedings of the IEEE International Conference on Computer Vision, 2011