Dragomir Anguelov

Publication Activity (10 Years)

Years Active: 1999-2024
Publications (10 Years): 112

Top Venues

CoRR

CVPR

ICRA

CoRL

Publications

Zhaoqi Leng, Pei Sun, Tong He, Dragomir Anguelov, Mingxing Tan
PVTransformer: Point-to-Voxel Transformer for Scalable 3D Object Detection. CoRR (2024)
Wei-Chih Hung, Vincent Casser, Henrik Kretzschmar, Jyh-Jing Hwang, Dragomir Anguelov
LET-3D-AP: Longitudinal Error Tolerant 3D Average Precision for Camera-Only 3D Detection. ICRA (2024)
Norman Mu, Jingwei Ji, Zhenpei Yang, Nate Harada, Haotian Tang, Kan Chen, Charles R. Qi, Runzhou Ge, Kratarth Goel, Zoey Yang, Scott Ettinger, Rami Al-Rfou, Dragomir Anguelov, Yin Zhou
MoST: Multi-modality Scene Tokenization for Motion Prediction. CoRR (2024)
Zhaoqi Leng, Pei Sun, Tong He, Dragomir Anguelov, Mingxing Tan
PVTransformer: Point-to-Voxel Transformer for Scalable 3D Object Detection. ICRA (2024)
Kan Chen, Runzhou Ge, Hang Qiu, Rami Ai-Rfou, Charles R. Qi, Xuanyu Zhou, Zoey Yang, Scott Ettinger, Pei Sun, Zhaoqi Leng, Mustafa Baniodeh, Ivan Bogun, Weiyue Wang, Mingxing Tan, Dragomir Anguelov
WOMD-LiDAR: Raw Sensor Dataset Benchmark for Motion Forecasting. ICRA (2024)
Kan Chen, Runzhou Ge, Hang Qiu, Rami Ai-Rfou, Charles R. Qi, Xuanyu Zhou, Zoey Yang, Scott Ettinger, Pei Sun, Zhaoqi Leng, Mustafa Mustafa, Ivan Bogun, Weiyue Wang, Mingxing Tan, Dragomir Anguelov
WOMD-LiDAR: Raw Sensor Dataset Benchmark for Motion Forecasting. CoRR (2023)
Cole Gulino, Justin Fu, Wenjie Luo, George Tucker, Eli Bronstein, Yiren Lu, Jean Harb, Xinlei Pan, Yan Wang, Xiangyu Chen, John D. Co-Reyes, Rishabh Agarwal, Rebecca Roelofs, Yao Lu, Nico Montali, Paul Mougin, Zoey Yang, Brandyn White, Aleksandra Faust, Rowan McAllister, Dragomir Anguelov, Benjamin Sapp
Waymax: An Accelerated, Data-Driven Simulator for Large-Scale Autonomous Driving Research. CoRR (2023)
Zhaoqi Leng, Guowang Li, Chenxi Liu, Ekin Dogus Cubuk, Pei Sun, Tong He, Dragomir Anguelov, Mingxing Tan
Lidar Augment: Searching for Scalable 3D LiDAR Data Augmentations. ICRA (2023)
Yingwei Li, Charles R. Qi, Yin Zhou, Chenxi Liu, Dragomir Anguelov
MoDAR: Using Motion Forecasting for 3D Object Detection in Point Cloud Sequences. CoRR (2023)
Nico Montali, John Lambert, Paul Mougin, Alex Kuefler, Nick Rhinehart, Michelle Li, Cole Gulino, Tristan Emrich, Zoey Yang, Shimon Whiteson, Brandyn White, Dragomir Anguelov
The Waymo Open Sim Agents Challenge. CoRR (2023)
Congyue Deng, Chiyu Max Jiang, Charles R. Qi, Xinchen Yan, Yin Zhou, Leonidas J. Guibas, Dragomir Anguelov
NeRDi: Single-View NeRF Synthesis with Language-Guided Diffusion as General Image Priors. CVPR (2023)
Cole Gulino, Justin Fu, Wenjie Luo, George Tucker, Eli Bronstein, Yiren Lu, Jean Harb, Xinlei Pan, Yan Wang, Xiangyu Chen, John D. Co-Reyes, Rishabh Agarwal, Rebecca Roelofs, Yao Lu, Nico Montali, Paul Mougin, Zoey Yang, Brandyn White, Aleksandra Faust, Rowan McAllister, Dragomir Anguelov, Benjamin Sapp
Waymax: An Accelerated, Data-Driven Simulator for Large-Scale Autonomous Driving Research. NeurIPS (2023)
Chiyu "Max" Jiang, Andre Cornman, Cheolho Park, Benjamin Sapp, Yin Zhou, Dragomir Anguelov
MotionDiffuser: Controllable Multi-Agent Motion Prediction Using Diffusion. CVPR (2023)
Bokui Shen, Xinchen Yan, Charles R. Qi, Mahyar Najibi, Boyang Deng, Leonidas J. Guibas, Yin Zhou, Dragomir Anguelov
GINA-3D: Learning to Generate Implicit Neural Assets in the Wild. CVPR (2023)
Nico Montali, John Lambert, Paul Mougin, Alex Kuefler, Nicholas Rhinehart, Michelle Li, Cole Gulino, Tristan Emrich, Zoey Yang, Shimon Whiteson, Brandyn White, Dragomir Anguelov
The Waymo Open Sim Agents Challenge. NeurIPS (2023)
Zhenzhen Weng, Alexander S. Gorban, Jingwei Ji, Mahyar Najibi, Yin Zhou, Dragomir Anguelov
3D Human Keypoints Estimation from Point Clouds in the Wild without Human Labels. CVPR (2023)
Zhenzhen Weng, Alexander S. Gorban, Jingwei Ji, Mahyar Najibi, Yin Zhou, Dragomir Anguelov
3D Human Keypoints Estimation From Point Clouds in the Wild Without Human Labels. CoRR (2023)
Mahyar Najibi, Jingwei Ji, Yin Zhou, Charles R. Qi, Xinchen Yan, Scott Ettinger, Dragomir Anguelov
Unsupervised 3D Perception with 2D Vision-Language Distillation for Autonomous Driving. ICCV (2023)
Mahyar Najibi, Jingwei Ji, Yin Zhou, Charles R. Qi, Xinchen Yan, Scott Ettinger, Dragomir Anguelov
Unsupervised 3D Perception with 2D Vision-Language Distillation for Autonomous Driving. CoRR (2023)
Yingwei Li, Charles R. Qi, Yin Zhou, Chenxi Liu, Dragomir Anguelov
MoDAR: Using Motion Forecasting for 3D Object Detection in Point Cloud Sequences. CVPR (2023)
Bokui Shen, Xinchen Yan, Charles R. Qi, Mahyar Najibi, Boyang Deng, Leonidas J. Guibas, Yin Zhou, Dragomir Anguelov
GINA-3D: Learning to Generate Implicit Neural Assets in the Wild. CoRR (2023)
Chiyu Max Jiang, Andre Cornman, Cheolho Park, Ben Sapp, Yin Zhou, Dragomir Anguelov
MotionDiffuser: Controllable Multi-Agent Motion Prediction using Diffusion. CoRR (2023)
Tong He, Pei Sun, Zhaoqi Leng, Chenxi Liu, Dragomir Anguelov, Mingxing Tan
LEF: Late-to-Early Temporal Fusion for LiDAR 3D Object Detection. IROS (2023)
Tong He, Pei Sun, Zhaoqi Leng, Chenxi Liu, Dragomir Anguelov, Mingxing Tan
LEF: Late-to-Early Temporal Fusion for LiDAR 3D Object Detection. CoRR (2023)
Yiren Lu, Justin Fu, George Tucker, Xinlei Pan, Eli Bronstein, Rebecca Roelofs, Benjamin Sapp, Brandyn White, Aleksandra Faust, Shimon Whiteson, Dragomir Anguelov, Sergey Levine
Imitation Is Not Enough: Robustifying Imitation with Reinforcement Learning for Challenging Driving Scenarios. IROS (2023)
Minghua Liu, Yin Zhou, Charles R. Qi, Boqing Gong, Hao Su, Dragomir Anguelov
LESS: Label-Efficient Semantic Segmentation for LiDAR Point Clouds. CoRR (2022)
Reza Mahjourian, Jinkyu Kim, Yuning Chai, Mingxing Tan, Ben Sapp, Dragomir Anguelov
Occupancy Flow Fields for Motion Forecasting in Autonomous Driving. IEEE Robotics Autom. Lett. 7 (2) (2022)
Mao Ye, Chenxi Liu, Maoqing Yao, Weiyue Wang, Zhaoqi Leng, Charles R. Qi, Dragomir Anguelov
Multi-Class 3D Object Detection with Single-Class Supervision. ICRA (2022)
Reza Mahjourian, Jinkyu Kim, Yuning Chai, Mingxing Tan, Benjamin Sapp, Dragomir Anguelov
Occupancy Flow Fields for Motion Forecasting in Autonomous Driving. CoRR (2022)
Minghua Liu, Yin Zhou, Charles R. Qi, Boqing Gong, Hao Su, Dragomir Anguelov
LESS: Label-Efficient Semantic Segmentation for LiDAR Point Clouds. ECCV (39) (2022)
Mahyar Najibi, Jingwei Ji, Yin Zhou, Charles R. Qi, Xinchen Yan, Scott Ettinger, Dragomir Anguelov
Motion Inspired Unsupervised Perception and Prediction in Autonomous Driving. ECCV (38) (2022)
Wei-Chih Hung, Henrik Kretzschmar, Vincent Casser, Jyh-Jing Hwang, Dragomir Anguelov
LET-3D-AP: Longitudinal Error Tolerant 3D Average Precision for Camera-Only 3D Detection. CoRR (2022)
Jinkyu Kim, Reza Mahjourian, Scott Ettinger, Mayank Bansal, Brandyn White, Ben Sapp, Dragomir Anguelov
StopNet: Scalable Trajectory and Occupancy Prediction for Urban Autonomous Driving. ICRA (2022)
Zhao Chen, Vincent Casser, Henrik Kretzschmar, Dragomir Anguelov
GradTail: Learning Long-Tailed Data Using Gradient-based Sample Weighting. CoRR (2022)
Mao Ye, Chenxi Liu, Maoqing Yao, Weiyue Wang, Zhaoqi Leng, Charles R. Qi, Dragomir Anguelov
Multi-Class 3D Object Detection with Single-Class Supervision. CoRR (2022)
Zhaoqi Leng, Mingxing Tan, Chenxi Liu, Ekin Dogus Cubuk, Jay Shi, Shuyang Cheng, Dragomir Anguelov
PolyLoss: A Polynomial Expansion Perspective of Classification Loss Functions. ICLR (2022)
Zhaoqi Leng, Shuyang Cheng, Benjamin Caine, Weiyue Wang, Xiao Zhang, Jonathon Shlens, Mingxing Tan, Dragomir Anguelov
PseudoAugment: Learning to Use Unlabeled Data for Data Augmentation in Point Clouds. ECCV (31) (2022)
Zhaoqi Leng, Guowang Li, Chenxi Liu, Ekin Dogus Cubuk, Pei Sun, Tong He, Dragomir Anguelov, Mingxing Tan
LidarAugment: Searching for Scalable 3D LiDAR Data Augmentations. CoRR (2022)
Chiyu Max Jiang, Mahyar Najibi, Charles R. Qi, Yin Zhou, Dragomir Anguelov
Improving the Intra-class Long-tail in 3D Detection via Rare Example Mining. CoRR (2022)
Longlong Jing, Ruichi Yu, Henrik Kretzschmar, Kang Li, Charles R. Qi, Hang Zhao, Alper Ayvaci, Xu Chen, Dillon Cower, Yingwei Li, Yurong You, Han Deng, Congcong Li, Dragomir Anguelov
Depth Estimation Matters Most: Improving Per-Object Depth Estimation for Monocular 3D Detection and Tracking. ICRA (2022)
Jingxiao Zheng, Xinwei Shi, Alexander N. Gorban, Junhua Mao, Yang Song, Charles R. Qi, Ting Liu, Visesh Chari, Andre Cornman, Yin Zhou, Congcong Li, Dragomir Anguelov
Multi-modal 3D Human Pose Estimation with 2D Weak Supervision in Autonomous Driving. CVPR Workshops (2022)
Chenxi Liu, Zhaoqi Leng, Pei Sun, Shuyang Cheng, Charles R. Qi, Yin Zhou, Mingxing Tan, Dragomir Anguelov
LidarNAS: Unifying and Searching Neural Architectures for 3D Point Clouds. ECCV (21) (2022)
Zhaoqi Leng, Mingxing Tan, Chenxi Liu, Ekin Dogus Cubuk, Xiaojie Shi, Shuyang Cheng, Dragomir Anguelov
PolyLoss: A Polynomial Expansion Perspective of Classification Loss Functions. CoRR (2022)
Jyh-Jing Hwang, Henrik Kretzschmar, Joshua Manela, Sean Rafferty, Nicholas Armstrong-Crews, Tiffany Chen, Dragomir Anguelov
CramNet: Camera-Radar Fusion with Ray-Constrained Cross-Attention for Robust 3D Object Detection. CoRR (2022)
Chenxi Liu, Zhaoqi Leng, Pei Sun, Shuyang Cheng, Charles R. Qi, Yin Zhou, Mingxing Tan, Dragomir Anguelov
LidarNAS: Unifying and Searching Neural Architectures for 3D Point Clouds. CoRR (2022)
Maximilian Igl, Daewoo Kim, Alex Kuefler, Paul Mougin, Punit Shah, Kyriacos Shiarlis, Dragomir Anguelov, Mark Palatucci, Brandyn White, Shimon Whiteson
Symphony: Learning Realistic and Diverse Agents for Autonomous Driving Simulation. CoRR (2022)
Jyh-Jing Hwang, Henrik Kretzschmar, Joshua Manela, Sean Rafferty, Nicholas Armstrong-Crews, Tiffany Chen, Dragomir Anguelov
CramNet: Camera-Radar Fusion with Ray-Constrained Cross-Attention for Robust 3D Object Detection. ECCV (38) (2022)
Eli Bronstein, Mark Palatucci, Dominik Notz, Brandyn White, Alex Kuefler, Yiren Lu, Supratik Paul, Payam Nikdel, Paul Mougin, Hongge Chen, Justin Fu, Austin Abrams, Punit Shah, Evan Racah, Benjamin Frenkel, Shimon Whiteson, Dragomir Anguelov
Hierarchical Model-Based Imitation Learning for Planning in Autonomous Driving. CoRR (2022)
Pei Sun, Mingxing Tan, Weiyue Wang, Chenxi Liu, Fei Xia, Zhaoqi Leng, Dragomir Anguelov
SWFormer: Sparse Window Transformer for 3D Object Detection in Point Clouds. ECCV (10) (2022)
Maximilian Igl, Daewoo Kim, Alex Kuefler, Paul Mougin, Punit Shah, Kyriacos Shiarlis, Dragomir Anguelov, Mark Palatucci, Brandyn White, Shimon Whiteson
Symphony: Learning Realistic and Diverse Agents for Autonomous Driving Simulation. ICRA (2022)
Balakrishnan Varadarajan, Ahmed Hefny, Avikalp Srivastava, Khaled S. Refaat, Nigamaa Nayakanti, Andre Cornman, Kan Chen, Bertrand Douillard, Chi-Pang Lam, Dragomir Anguelov, Benjamin Sapp
MultiPath++: Efficient Information Fusion and Trajectory Aggregation for Behavior Prediction. ICRA (2022)
Wenjie Luo, Cheolho Park, Andre Cornman, Benjamin Sapp, Dragomir Anguelov
JFP: Joint Future Prediction with Interactive Multi-Agent Modeling for Autonomous Driving. CoRR (2022)
Andrei Zanfir, Mihai Zanfir, Alexander N. Gorban, Jingwei Ji, Yin Zhou, Dragomir Anguelov, Cristian Sminchisescu
HUM3DIL: Semi-supervised Multi-modal 3D HumanPose Estimation for Autonomous Driving. CoRL (2022)
Chiyu Max Jiang, Mahyar Najibi, Charles R. Qi, Yin Zhou, Dragomir Anguelov
Improving the Intra-class Long-Tail in 3D Detection via Rare Example Mining. ECCV (10) (2022)
Xuanyu Zhou, Charles R. Qi, Yin Zhou, Dragomir Anguelov
RIDDLE: Lidar Data Compression with Range Image Deep Delta Encoding. CoRR (2022)
Yiren Lu, Justin Fu, George Tucker, Xinlei Pan, Eli Bronstein, Becca Roelofs, Benjamin Sapp, Brandyn White, Aleksandra Faust, Shimon Whiteson, Dragomir Anguelov, Sergey Levine
Imitation Is Not Enough: Robustifying Imitation with Reinforcement Learning for Challenging Driving Scenarios. CoRR (2022)
Xuanyu Zhou, Charles R. Qi, Yin Zhou, Dragomir Anguelov
RIDDLE: Lidar Data Compression with Range Image Deep Delta Encoding. CVPR (2022)
Pei Sun, Mingxing Tan, Weiyue Wang, Chenxi Liu, Fei Xia, Zhaoqi Leng, Dragomir Anguelov
SWFormer: Sparse Window Transformer for 3D Object Detection in Point Clouds. CoRR (2022)
Jieru Mei, Alex Zihao Zhu, Xinchen Yan, Hang Yan, Siyuan Qiao, Yukun Zhu, Liang-Chieh Chen, Henrik Kretzschmar, Dragomir Anguelov
Waymo Open Dataset: Panoramic Video Panoptic Segmentation. CoRR (2022)
Congyue Deng, Chiyu "Max" Jiang, Charles R. Qi, Xinchen Yan, Yin Zhou, Leonidas J. Guibas, Dragomir Anguelov
NeRDi: Single-View NeRF Synthesis with Language-Guided Diffusion as General Image Priors. CoRR (2022)
Andrei Zanfir, Mihai Zanfir, Alexander N. Gorban, Jingwei Ji, Yin Zhou, Dragomir Anguelov, Cristian Sminchisescu
HUM3DIL: Semi-supervised Multi-modal 3D Human Pose Estimation for Autonomous Driving. CoRR (2022)
Mahyar Najibi, Jingwei Ji, Yin Zhou, Charles R. Qi, Xinchen Yan, Scott Ettinger, Dragomir Anguelov
Motion Inspired Unsupervised Perception and Prediction in Autonomous Driving. CoRR (2022)
Eli Bronstein, Mark Palatucci, Dominik Notz, Brandyn White, Alex Kuefler, Yiren Lu, Supratik Paul, Payam Nikdel, Paul Mougin, Hongge Chen, Justin Fu, Austin Abrams, Punit Shah, Evan Racah, Benjamin Frenkel, Shimon Whiteson, Dragomir Anguelov
Hierarchical Model-Based Imitation Learning for Planning in Autonomous Driving. IROS (2022)
Wenjie Luo, Cheol Park, Andre Cornman, Benjamin Sapp, Dragomir Anguelov
JFP: Joint Future Prediction with Interactive Multi-Agent Modeling for Autonomous Driving. CoRL (2022)
Jinkyu Kim, Reza Mahjourian, Scott Ettinger, Mayank Bansal, Brandyn White, Ben Sapp, Dragomir Anguelov
StopNet: Scalable Trajectory and Occupancy Prediction for Urban Autonomous Driving. CoRR (2022)
Longlong Jing, Ruichi Yu, Henrik Kretzschmar, Kang Li, Charles R. Qi, Hang Zhao, Alper Ayvaci, Xu Chen, Dillon Cower, Yingwei Li, Yurong You, Han Deng, Congcong Li, Dragomir Anguelov
Depth Estimation Matters Most: Improving Per-Object Depth Estimation for Monocular 3D Detection and Tracking. CoRR (2022)
Zhaoqi Leng, Shuyang Cheng, Benjamin Caine, Weiyue Wang, Xiao Zhang, Jonathon Shlens, Mingxing Tan, Dragomir Anguelov
PseudoAugment: Learning to Use Unlabeled Data for Data Augmentation in Point Clouds. CoRR (2022)
Balakrishnan Varadarajan, Ahmed Hefny, Avikalp Srivastava, Khaled S. Refaat, Nigamaa Nayakanti, Andre Cornman, Kan Chen, Bertrand Douillard, Chi-Pang Lam, Dragomir Anguelov, Benjamin Sapp
MultiPath++: Efficient Information Fusion and Trajectory Aggregation for Behavior Prediction. CoRR (2021)
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)
Ekaterina I. Tolstaya, Reza Mahjourian, Carlton Downey, Balakrishnan Varadarajan, Benjamin Sapp, Dragomir Anguelov
Identifying Driver Interactions via Conditional Behavior Prediction. CoRR (2021)
Boyang Deng, Charles R. Qi, Mahyar Najibi, Thomas A. Funkhouser, Yin Zhou, Dragomir Anguelov
Revisiting 3D Object Detection From an Egocentric Perspective. CoRR (2021)
Boyang Deng, Charles R. Qi, Mahyar Najibi, Thomas A. Funkhouser, Yin Zhou, Dragomir Anguelov
Revisiting 3D Object Detection From an Egocentric Perspective. NeurIPS (2021)
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 (2021)
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 (2021)
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 (2021)
Jingxiao Zheng, Xinwei Shi, Alexander Gorban, Junhua Mao, Yang Song, Charles R. Qi, Ting Liu, Visesh Chari, Andre Cornman, Yin Zhou, Congcong Li, Dragomir Anguelov
Multi-modal 3D Human Pose Estimation with 2D Weak Supervision in Autonomous Driving. CoRR (2021)
Qiangeng Xu, Yin Zhou, Weiyue Wang, Charles R. Qi, Dragomir Anguelov
SPG: Unsupervised Domain Adaptation for 3D Object Detection via Semantic Point Generation. ICCV (2021)
Charles R. Qi, Yin Zhou, Mahyar Najibi, Pei Sun, Khoa Vo, Boyang Deng, Dragomir Anguelov
Offboard 3D Object Detection from Point Cloud Sequences. CoRR (2021)
Qiangeng Xu, Yin Zhou, Weiyue Wang, Charles R. Qi, Dragomir Anguelov
SPG: Unsupervised Domain Adaptation for 3D Object Detection via Semantic Point Generation. CoRR (2021)
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 (2021)
Ekaterina I. Tolstaya, Reza Mahjourian, Carlton Downey, Balakrishnan Varadarajan, Benjamin Sapp, Dragomir Anguelov
Identifying Driver Interactions via Conditional Behavior Prediction. ICRA (2021)
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)
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)
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)
Charles R. Qi, Yin Zhou, Mahyar Najibi, Pei Sun, Khoa Vo, Boyang Deng, Dragomir Anguelov
Offboard 3D Object Detection From Point Cloud Sequences. CVPR (2021)
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)
Zhishuai Zhang, Jiyang Gao, Junhua Mao, Yukai Liu, Dragomir Anguelov, Congcong Li
STINet: Spatio-Temporal-Interactive Network for Pedestrian Detection and Trajectory Prediction. CoRR (2020)
Jiyang Gao, Chen Sun, Hang Zhao, Yi Shen, Dragomir Anguelov, Congcong Li, Cordelia Schmid
VectorNet: Encoding HD Maps and Agent Dynamics From Vectorized Representation. CVPR (2020)
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 (2020)
Alex Bewley, Pei Sun, Thomas Mensink, Dragomir Anguelov, Cristian Sminchisescu
Range Conditioned Dilated Convolutions for Scale Invariant 3D Object Detection. CoRR (2020)
Shuyang Cheng, Zhaoqi Leng, Ekin Dogus Cubuk, Barret Zoph, Chunyan Bai, Jiquan Ngiam, Yang Song, Benjamin Caine, Vijay Vasudevan, Congcong Li, Quoc V. Le, Jonathon Shlens, Dragomir Anguelov
Improving 3D Object Detection Through Progressive Population Based Augmentation. ECCV (21) (2020)
Alex Bewley, Pei Sun, Thomas Mensink, Dragomir Anguelov, Cristian Sminchisescu
Range Conditioned Dilated Convolutions for Scale Invariant 3D Object Detection. CoRL (2020)
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)
Zhishuai Zhang, Jiyang Gao, Junhua Mao, Yukai Liu, Dragomir Anguelov, Congcong Li
STINet: Spatio-Temporal-Interactive Network for Pedestrian Detection and Trajectory Prediction. CVPR (2020)
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 (2020)
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 (2020)
Shuyang Cheng, Zhaoqi Leng, Ekin Dogus Cubuk, Barret Zoph, Chunyan Bai, Jiquan Ngiam, Yang Song, Benjamin Caine, Vijay Vasudevan, Congcong Li, Quoc V. Le, Jonathon Shlens, Dragomir Anguelov
Improving 3D Object Detection through Progressive Population Based Augmentation. CoRR (2020)
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)
Jiyang Gao, Chen Sun, Hang Zhao, Yi Shen, Dragomir Anguelov, Congcong Li, Cordelia Schmid
VectorNet: Encoding HD Maps and Agent Dynamics from Vectorized Representation. CoRR (2020)
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 (2020)

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Publication Activity (10 Years)

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Dragomir Anguelov