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Yuning Chai
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2020 – today
- 2024
- [c18]Mu Cai, Haotian Liu, Siva Karthik Mustikovela, Gregory P. Meyer, Yuning Chai, Dennis Park, Yong Jae Lee:
ViP-LLaVA: Making Large Multimodal Models Understand Arbitrary Visual Prompts. CVPR 2024: 12914-12923 - [i21]Yichen Xie, Hongge Chen, Gregory P. Meyer, Yong Jae Lee, Eric M. Wolff, Masayoshi Tomizuka, Wei Zhan, Yuning Chai, Xin Huang:
Cohere3D: Exploiting Temporal Coherence for Unsupervised Representation Learning of Vision-based Autonomous Driving. CoRR abs/2402.15583 (2024) - [i20]Mao Ye, Gregory P. Meyer, Zaiwei Zhang, Dennis Park, Siva Karthik Mustikovela, Yuning Chai, Eric M. Wolff:
VLMine: Long-Tail Data Mining with Vision Language Models. CoRR abs/2409.15486 (2024) - 2023
- [c17]Mao Ye, Gregory P. Meyer, Yuning Chai, Qiang Liu:
Efficient Transformer-based 3D Object Detection with Dynamic Token Halting. ICCV 2023: 8404-8416 - [c16]Hongge Chen, Zhao Chen, Gregory P. Meyer, Dennis Park, Carl Vondrick, Ashish Shrivastava, Yuning Chai:
SHIFT3D: Synthesizing Hard Inputs For Tricking 3D Detectors. ICCV 2023: 8459-8469 - [c15]Dakshit Agrawal, Jiajie Xu, Siva Karthik Mustikovela, Ioannis Gkioulekas, Ashish Shrivastava, Yuning Chai:
NOVA: NOvel View Augmentation for Neural Composition of Dynamic Objects. ICCV (Workshops) 2023: 4290-4294 - [i19]Mao Ye, Gregory P. Meyer, Yuning Chai, Qiang Liu:
Efficient Transformer-based 3D Object Detection with Dynamic Token Halting. CoRR abs/2303.05078 (2023) - [i18]Dakshit Agrawal, Jiajie Xu, Siva Karthik Mustikovela, Ioannis Gkioulekas, Ashish Shrivastava, Yuning Chai:
NOVA: NOvel View Augmentation for Neural Composition of Dynamic Objects. CoRR abs/2308.12560 (2023) - [i17]Hongge Chen, Zhao Chen, Gregory P. Meyer, Dennis Park, Carl Vondrick, Ashish Shrivastava, Yuning Chai:
SHIFT3D: Synthesizing Hard Inputs For Tricking 3D Detectors. CoRR abs/2309.05810 (2023) - [i16]Mu Cai, Haotian Liu, Siva Karthik Mustikovela, Gregory P. Meyer, Yuning Chai, Dennis Park, Yong Jae Lee:
Making Large Multimodal Models Understand Arbitrary Visual Prompts. CoRR abs/2312.00784 (2023) - 2022
- [j1]Reza Mahjourian
, Jinkyu Kim
Occupancy Flow Fields for Motion Forecasting in Autonomous Driving. IEEE Robotics Autom. Lett. 7(2): 5639-5646 (2022) - [i15]Reza Mahjourian, Jinkyu Kim, Yuning Chai, Mingxing Tan, Benjamin Sapp, Dragomir Anguelov:
Occupancy Flow Fields for Motion Forecasting in Autonomous Driving. CoRR abs/2203.03875 (2022) - 2021
- [c14]Lu Mi, Hang Zhao, Charlie Nash, Xiaohan Jin, Jiyang Gao, Chen Sun, Cordelia Schmid, Nir Shavit, Yuning Chai, Dragomir Anguelov:
HDMapGen: A Hierarchical Graph Generative Model of High Definition Maps. CVPR 2021: 4227-4236 - [c13]Pei Sun, Weiyue Wang, Yuning Chai, Gamaleldin Elsayed, Alex Bewley, Xiao Zhang, Cristian Sminchisescu, Dragomir Anguelov:
RSN: Range Sparse Net for Efficient, Accurate LiDAR 3D Object Detection. CVPR 2021: 5725-5734 - [c12]Yuning Chai, Pei Sun, Jiquan Ngiam, Weiyue Wang, Benjamin Caine, Vijay Vasudevan, Xiao Zhang, Dragomir Anguelov:
To the Point: Efficient 3D Object Detection in the Range Image With Graph Convolution Kernels. CVPR 2021: 16000-16009 - [c11]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:
Large Scale Interactive Motion Forecasting for Autonomous Driving : The Waymo Open Motion Dataset. ICCV 2021: 9690-9699 - [i14]Benjamin Caine, Rebecca Roelofs, Vijay Vasudevan, Jiquan Ngiam, Yuning Chai, Zhifeng Chen, Jonathon Shlens:
Pseudo-labeling for Scalable 3D Object Detection. CoRR abs/2103.02093 (2021) - [i13]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:
Large Scale Interactive Motion Forecasting for Autonomous Driving : The Waymo Open Motion Dataset. CoRR abs/2104.10133 (2021) - [i12]Pei Sun, Weiyue Wang, Yuning Chai, Gamaleldin Elsayed, Alex Bewley, Xiao Zhang, Cristian Sminchisescu, Dragomir Anguelov:
RSN: Range Sparse Net for Efficient, Accurate LiDAR 3D Object Detection. CoRR abs/2106.13365 (2021) - [i11]Yuning Chai, Pei Sun, Jiquan Ngiam, Weiyue Wang, Benjamin Caine, Vijay Vasudevan, Xiao Zhang, Dragomir Anguelov:
To the Point: Efficient 3D Object Detection in the Range Image with Graph Convolution Kernels. CoRR abs/2106.13381 (2021) - [i10]Lu Mi, Hang Zhao, Charlie Nash, Xiaohan Jin, Jiyang Gao, Chen Sun, Cordelia Schmid, Nir Shavit, Yuning Chai, Dragomir Anguelov:
HDMapGen: A Hierarchical Graph Generative Model of High Definition Maps. CoRR abs/2106.14880 (2021) - 2020
- [c10]Hang Zhao, Jiyang Gao, Tian Lan, Chen Sun, Benjamin Sapp, Balakrishnan Varadarajan, Yue Shen, Yi Shen, Yuning Chai, Cordelia Schmid, Congcong Li, Dragomir Anguelov:
TNT: Target-driven Trajectory Prediction. CoRL 2020: 895-904 - [c9]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:
Scalability in Perception for Autonomous Driving: Waymo Open Dataset. CVPR 2020: 2443-2451 - [c8]Zhenpei Yang, Yuning Chai, Dragomir Anguelov, Yin Zhou, Pei Sun, Dumitru Erhan, Sean Rafferty, Henrik Kretzschmar:
SurfelGAN: Synthesizing Realistic Sensor Data for Autonomous Driving. CVPR 2020: 11115-11124 - [c7]Zhao Chen, Jiquan Ngiam, Yanping Huang, Thang Luong, Henrik Kretzschmar, Yuning Chai, Dragomir Anguelov:
Just Pick a Sign: Optimizing Deep Multitask Models with Gradient Sign Dropout. NeurIPS 2020 - [i9]Zhenpei Yang, Yuning Chai, Dragomir Anguelov, Yin Zhou, Pei Sun, Dumitru Erhan, Sean Rafferty, Henrik Kretzschmar:
SurfelGAN: Synthesizing Realistic Sensor Data for Autonomous Driving. CoRR abs/2005.03844 (2020) - [i8]Wei-Chih Hung, Henrik Kretzschmar, Tsung-Yi Lin, Yuning Chai, Ruichi Yu, Ming-Hsuan Yang, Dragomir Anguelov:
SoDA: Multi-Object Tracking with Soft Data Association. CoRR abs/2008.07725 (2020) - [i7]Hang Zhao, Jiyang Gao, Tian Lan, Chen Sun, Benjamin Sapp, Balakrishnan Varadarajan, Yue Shen, Yi Shen, Yuning Chai, Cordelia Schmid, Congcong Li, Dragomir Anguelov:
TNT: Target-driveN Trajectory Prediction. CoRR abs/2008.08294 (2020) - [i6]Zhao Chen, Jiquan Ngiam, Yanping Huang, Thang Luong, Henrik Kretzschmar, Yuning Chai, Dragomir Anguelov:
Just Pick a Sign: Optimizing Deep Multitask Models with Gradient Sign Dropout. CoRR abs/2010.06808 (2020)
2010 – 2019
- 2019
- [c6]Yuning Chai, Benjamin Sapp, Mayank Bansal, Dragomir Anguelov:
MultiPath: Multiple Probabilistic Anchor Trajectory Hypotheses for Behavior Prediction. CoRL 2019: 86-99 - [c5]Paul Voigtlaender, Yuning Chai, Florian Schroff, Hartwig Adam, Bastian Leibe
FEELVOS: Fast End-To-End Embedding Learning for Video Object Segmentation. CVPR 2019: 9481-9490 - [c4]Yuning Chai:
Patchwork: A Patch-Wise Attention Network for Efficient Object Detection and Segmentation in Video Streams. ICCV 2019: 3414-3423 - [i5]Paul Voigtlaender, Yuning Chai, Florian Schroff, Hartwig Adam, Bastian Leibe, Liang-Chieh Chen:
FEELVOS: Fast End-to-End Embedding Learning for Video Object Segmentation. CoRR abs/1902.09513 (2019) - [i4]Yuning Chai:
Patchwork: A Patch-wise Attention Network for Efficient Object Detection and Segmentation in Video Streams. CoRR abs/1904.01784 (2019) - [i3]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:
StarNet: Targeted Computation for Object Detection in Point Clouds. CoRR abs/1908.11069 (2019) - [i2]Yuning Chai, Benjamin Sapp, Mayank Bansal, Dragomir Anguelov:
MultiPath: Multiple Probabilistic Anchor Trajectory Hypotheses for Behavior Prediction. CoRR abs/1910.05449 (2019) - [i1]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:
Scalability in Perception for Autonomous Driving: Waymo Open Dataset. CoRR abs/1912.04838 (2019) - 2015
- [b1]Yuning Chai:
Advances in fine-grained visual categorization. University of Oxford, UK, 2015 - 2013
- [c3]Yuning Chai, Victor S. Lempitsky, Andrew Zisserman:
Symbiotic Segmentation and Part Localization for Fine-Grained Categorization. ICCV 2013: 321-328 - 2012
- [c2]Yuning Chai, Esa Rahtu
TriCoS: A Tri-level Class-Discriminative Co-segmentation Method for Image Classification. ECCV (1) 2012: 794-807 - 2011
- [c1]Yuning Chai, Victor S. Lempitsky, Andrew Zisserman:
BiCoS: A Bi-level co-segmentation method for image classification. ICCV 2011: 2579-2586
Coauthor Index
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