Anguelov, Dragomir

54 publications

TMLR 2025 EMMA: End-to-End Multimodal Model for Autonomous Driving Jyh-Jing Hwang, Runsheng Xu, Hubert Lin, Wei-Chih Hung, Jingwei Ji, Kristy Choi, Di Huang, Tong He, Paul Covington, Benjamin Sapp, Yin Zhou, James Guo, Dragomir Anguelov, Mingxing Tan

CVPR 2025 S4-Driver: Scalable Self-Supervised Driving Multimodal Large Language Model with Spatio-Temporal Visual Representation Yichen Xie, Runsheng Xu, Tong He, Jyh-Jing Hwang, Katie Luo, Jingwei Ji, Hubert Lin, Letian Chen, Yiren Lu, Zhaoqi Leng, Dragomir Anguelov, Mingxing Tan

CVPR 2025 SceneCrafter: Controllable Multi-View Driving Scene Editing Zehao Zhu, Yuliang Zou, Chiyu Max Jiang, Bo Sun, Vincent Casser, Xiukun Huang, Jiahao Wang, Zhenpei Yang, Ruiqi Gao, Leonidas Guibas, Mingxing Tan, Dragomir Anguelov

CVPR 2025 SceneDiffuser++: City-Scale Traffic Simulation via a Generative World Model Shuhan Tan, John Lambert, Hong Jeon, Sakshum Kulshrestha, Yijing Bai, Jing Luo, Dragomir Anguelov, Mingxing Tan, Chiyu Max Jiang

CVPR 2024 MoST: Multi-Modality Scene Tokenization for Motion Prediction 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

NeurIPS 2024 SceneDiffuser: Efficient and Controllable Driving Simulation Initialization and Rollout Chiyu Max Jiang, Yijing Bai, Andre Cornman, Christopher Davis, Xiukun Huang, Hong Jeon, Sakshum Kulshrestha, John Lambert, Shuangyu Li, Xuanyu Zhou, Carlos Fuertes, Chang Yuan, Mingxing Tan, Yin Zhou, Dragomir Anguelov

CVPR 2023 3D Human Keypoints Estimation from Point Clouds in the Wild Without Human Labels Zhenzhen Weng, Alexander S. Gorban, Jingwei Ji, Mahyar Najibi, Yin Zhou, Dragomir Anguelov

CVPR 2023 GINA-3D: Learning to Generate Implicit Neural Assets in the Wild Bokui Shen, Xinchen Yan, Charles R. Qi, Mahyar Najibi, Boyang Deng, Leonidas Guibas, Yin Zhou, Dragomir Anguelov

CVPR 2023 MoDAR: Using Motion Forecasting for 3D Object Detection in Point Cloud Sequences Yingwei Li, Charles R. Qi, Yin Zhou, Chenxi Liu, Dragomir Anguelov

CVPR 2023 MotionDiffuser: Controllable Multi-Agent Motion Prediction Using Diffusion Chiyu “Max” Jiang, Andre Cornman, Cheolho Park, Benjamin Sapp, Yin Zhou, Dragomir Anguelov

CVPR 2023 NeRDi: Single-View NeRF Synthesis with Language-Guided Diffusion as General Image Priors Congyue Deng, Chiyu “Max” Jiang, Charles R. Qi, Xinchen Yan, Yin Zhou, Leonidas Guibas, Dragomir Anguelov

NeurIPS 2023 The Waymo Open Sim Agents Challenge Nico Montali, John Lambert, Paul Mougin, Alex Kuefler, Nicholas Rhinehart, Michelle Li, Cole Gulino, Tristan Emrich, Zoey Yang, Shimon Whiteson, Brandyn White, Dragomir Anguelov

ICCV 2023 Unsupervised 3D Perception with 2D Vision-Language Distillation for Autonomous Driving Mahyar Najibi, Jingwei Ji, Yin Zhou, Charles R. Qi, Xinchen Yan, Scott Ettinger, Dragomir Anguelov

NeurIPS 2023 Waymax: An Accelerated, Data-Driven Simulator for Large-Scale Autonomous Driving Research Cole Gulino, Justin Fu, Wenjie Luo, George Tucker, Eli Bronstein, Yiren Lu, Jean Harb, Xinlei Pan, Yan Wang, Xiangyu Chen, John Co-Reyes, Rishabh Agarwal, Rebecca Roelofs, Yao Lu, Nico Montali, Paul Mougin, Zoey Yang, Brandyn White, Aleksandra Faust, Rowan McAllister, Dragomir Anguelov, Benjamin Sapp

ECCV 2022 CramNet: Camera-Radar Fusion with Ray-Constrained Cross-Attention for Robust 3D Object Detection Jyh-Jing Hwang, Henrik Kretzschmar, Joshua Manela, Sean Rafferty, Nicholas Armstrong-Crews, Tiffany Chen, Dragomir Anguelov

CoRL 2022 HUM3DIL: Semi-Supervised Multi-Modal 3D HumanPose Estimation for Autonomous Driving Andrei Zanfir, Mihai Zanfir, Alex Gorban, Jingwei Ji, Yin Zhou, Dragomir Anguelov, Cristian Sminchisescu

ECCV 2022 Improving the Intra-Class Long-Tail in 3D Detection via Rare Example Mining Chiyu Max Jiang, Mahyar Najibi, Charles R. Qi, Yin Zhou, Dragomir Anguelov

CoRL 2022 JFP: Joint Future Prediction with Interactive Multi-Agent Modeling for Autonomous Driving Wenjie Luo, Cheol Park, Andre Cornman, Benjamin Sapp, Dragomir Anguelov

ECCV 2022 LESS: Label-Efficient Semantic Segmentation for LiDAR Point Clouds Minghua Liu, Yin Zhou, Charles R. Qi, Boqing Gong, Hao Su, Dragomir Anguelov

ECCV 2022 LidarNAS: Unifying and Searching Neural Architectures for 3D Point Clouds Chenxi Liu, Zhaoqi Leng, Pei Sun, Shuyang Cheng, Charles R. Qi, Yin Zhou, Mingxing Tan, Dragomir Anguelov

ECCV 2022 Motion Inspired Unsupervised Perception and Prediction in Autonomous Driving Mahyar Najibi, Jingwei Ji, Yin Zhou, Charles R. Qi, Xinchen Yan, Scott Ettinger, Dragomir Anguelov

CVPRW 2022 Multi-Modal 3D Human Pose Estimation with 2D Weak Supervision in Autonomous Driving 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

ICLR 2022 PolyLoss: A Polynomial Expansion Perspective of Classification Loss Functions Zhaoqi Leng, Mingxing Tan, Chenxi Liu, Ekin Dogus Cubuk, Jay Shi, Shuyang Cheng, Dragomir Anguelov

ECCV 2022 PseudoAugment: Learning to Use Unlabeled Data for Data Augmentation in Point Clouds Zhaoqi Leng, Shuyang Cheng, Benjamin Caine, Weiyue Wang, Xiao Zhang, Jonathon Shlens, Mingxing Tan, Dragomir Anguelov

CVPR 2022 RIDDLE: LiDAR Data Compression with Range Image Deep Delta Encoding Xuanyu Zhou, Charles R. Qi, Yin Zhou, Dragomir Anguelov

ECCV 2022 SWFormer: Sparse Window Transformer for 3D Object Detection in Point Clouds Pei Sun, Mingxing Tan, Weiyue Wang, Chenxi Liu, Fei Xia, Zhaoqi Leng, 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, Cordelia Schmid, Nir Shavit, Yuning Chai, Dragomir Anguelov

ICCV 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, Aurélien Chouard, Pei Sun, Jiquan Ngiam, Vijay Vasudevan, Alexander McCauley, Jonathon Shlens, Dragomir Anguelov

CVPR 2021 Offboard 3D Object Detection from Point Cloud Sequences Charles R. Qi, Yin Zhou, Mahyar Najibi, Pei Sun, Khoa Vo, Boyang Deng, Dragomir Anguelov

CVPR 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

NeurIPS 2021 Revisiting 3D Object Detection from an Egocentric Perspective Boyang Deng, Charles R Qi, Mahyar Najibi, Thomas Funkhouser, Yin Zhou, Dragomir Anguelov

ICCV 2021 SPG: Unsupervised Domain Adaptation for 3D Object Detection via Semantic Point Generation Qiangeng Xu, Yin Zhou, Weiyue Wang, Charles R. Qi, Dragomir Anguelov

CVPR 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

ECCV 2020 Improving 3D Object Detection Through Progressive Population Based Augmentation 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

NeurIPS 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

CoRL 2020 Range Conditioned Dilated Convolutions for Scale Invariant 3D Object Detection Alex Bewley, Pei Sun, Thomas Mensink, Dragomir Anguelov, Cristian Sminchisescu

CoRL 2020 TNT: Target-Driven Trajectory Prediction Hang Zhao, Jiyang Gao, Tian Lan, Chen Sun, Ben Sapp, Balakrishnan Varadarajan, Yue Shen, Yi Shen, Yuning Chai, Cordelia Schmid, Congcong Li, Dragomir Anguelov

CoRL 2019 End-to-End Multi-View Fusion for 3D Object Detection in LiDAR Point Clouds Yin Zhou, Pei Sun, Yu Zhang, Dragomir Anguelov, Jiyang Gao, Tom Ouyang, James Guo, Jiquan Ngiam, Vijay Vasudevan

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

CVPR 2017 3D Bounding Box Estimation Using Deep Learning and Geometry Arsalan Mousavian, Dragomir Anguelov, John Flynn, Jana Kosecka

ECCV 2016 SSD: Single Shot MultiBox Detector Wei Liu, Dragomir Anguelov, Dumitru Erhan, Christian Szegedy, Scott E. Reed, Cheng-Yang Fu, Alexander C. Berg

WACV 2016 Self-Taught Object Localization with Deep Networks Loris Bazzani, Alessandro Bergamo, Dragomir Anguelov, Lorenzo Torresani

CVPR 2015 Going Deeper with Convolutions Christian Szegedy, Wei Liu, Yangqing Jia, Pierre Sermanet, Scott Reed, Dragomir Anguelov, Dumitru Erhan, Vincent Vanhoucke, Andrew Rabinovich

ICLR 2015 Self-Informed Neural Network Structure Learning David Warde-Farley, Andrew Rabinovich, Dragomir Anguelov

ICLR 2015 Training Deep Neural Networks on Noisy Labels with Bootstrapping Scott E. Reed, Honglak Lee, Dragomir Anguelov, Christian Szegedy, Dumitru Erhan, Andrew Rabinovich

CVPR 2014 Capturing Long-Tail Distributions of Object Subcategories Xiangxin Zhu, Dragomir Anguelov, Deva Ramanan

CVPR 2014 Scalable Object Detection Using Deep Neural Networks Dumitru Erhan, Christian Szegedy, Alexander Toshev, Dragomir Anguelov

CVPR 2007 Contextual Identity Recognition in Personal Photo Albums Dragomir Anguelov, Kuang-chih Lee, Salih Burak Göktürk, Baris Sumengen

CVPR 2006 Object Pose Detection in Range Scan Data Jim Rodgers, Dragomir Anguelov, Hoi-Cheung Pang, Daphne Koller

CVPR 2005 Discriminative Learning of Markov Random Fields for Segmentation of 3D Scan Data Dragomir Anguelov, Benjamin Taskar, Vassil Chatalbashev, Daphne Koller, Dinkar Gupta, Geremy Heitz, Andrew Y. Ng

UAI 2004 Recovering Articulated Object Models from 3D Range Data Dragomir Anguelov, Daphne Koller, Hoi-Cheung Pang, Praveen Srinivasan, Sebastian Thrun

NeurIPS 2004 The Correlated Correspondence Algorithm for Unsupervised Registration of Nonrigid Surfaces Dragomir Anguelov, Praveen Srinivasan, Hoi-cheung Pang, Daphne Koller, Sebastian Thrun, James Davis

UAI 2002 Learning Hierarchical Object Maps of Non-Stationary Environments with Mobile Robots Dragomir Anguelov, Rahul Biswas, Daphne Koller, Benson Limketkai, Sebastian Thrun

UAI 1999 A General Algorithm for Approximate Inference and Its Application to Hybrid Bayes Nets Daphne Koller, Uri Lerner, Dragomir Anguelov