Dragomir Anguelov

Scene Reconstruction as Mapping Priors for 3D Detection CVPR 2026 Sensor2Sensor: Cross-Embodiment Sensor Conversion for Autonomous Driving CVPR 2026 WOD-E2E: Waymo Open Dataset for End-to-End Driving in Challenging Long-tail Scenarios CVPR 2026 S4-Driver: Scalable Self-Supervised Driving Multimodal Large Language Model with Spatio-Temporal Visual Representation CVPR 2025 SceneCrafter: Controllable Multi-View Driving Scene Editing CVPR 2025 SceneDiffuser++: City-Scale Traffic Simulation via a Generative World Model CVPR 2025 MoST: Multi-Modality Scene Tokenization for Motion Prediction CVPR 2024 SceneDiffuser: Efficient and Controllable Driving Simulation Initialization and Rollout NeurIPS 2024 3D Human Keypoints Estimation From Point Clouds in the Wild Without Human Labels CVPR 2023 GINA-3D: Learning To Generate Implicit Neural Assets in the Wild CVPR 2023 MoDAR: Using Motion Forecasting for 3D Object Detection in Point Cloud Sequences CVPR 2023 MotionDiffuser: Controllable Multi-Agent Motion Prediction Using Diffusion CVPR 2023 NeRDi: Single-View NeRF Synthesis With Language-Guided Diffusion As General Image Priors CVPR 2023 The Waymo Open Sim Agents Challenge NeurIPS 2023 Unsupervised 3D Perception with 2D Vision-Language Distillation for Autonomous Driving ICCV 2023 Waymax: An Accelerated, Data-Driven Simulator for Large-Scale Autonomous Driving Research NeurIPS 2023 CramNet: Camera-Radar Fusion with Ray-Constrained Cross-Attention for Robust 3D Object Detection ECCV 2022 HUM3DIL: Semi-supervised Multi-modal 3D HumanPose Estimation for Autonomous Driving CoRL 2022 Improving the Intra-Class Long-Tail in 3D Detection via Rare Example Mining ECCV 2022 JFP: Joint Future Prediction with Interactive Multi-Agent Modeling for Autonomous Driving CoRL 2022 LESS: Label-Efficient Semantic Segmentation for LiDAR Point Clouds ECCV 2022 LidarNAS: Unifying and Searching Neural Architectures for 3D Point Clouds ECCV 2022 Motion Inspired Unsupervised Perception and Prediction in Autonomous Driving ECCV 2022 PolyLoss: A Polynomial Expansion Perspective of Classification Loss Functions ICLR 2022 PseudoAugment: Learning to Use Unlabeled Data for Data Augmentation in Point Clouds ECCV 2022 RIDDLE: Lidar Data Compression With Range Image Deep Delta Encoding CVPR 2022 SWFormer: Sparse Window Transformer for 3D Object Detection in Point Clouds ECCV 2022 HDMapGen: A Hierarchical Graph Generative Model of High Definition Maps CVPR 2021 Large Scale Interactive Motion Forecasting for Autonomous Driving: The Waymo Open Motion Dataset ICCV 2021 Offboard 3D Object Detection From Point Cloud Sequences CVPR 2021 Revisiting 3D Object Detection From an Egocentric Perspective NeurIPS 2021 RSN: Range Sparse Net for Efficient, Accurate LiDAR 3D Object Detection CVPR 2021 SPG: Unsupervised Domain Adaptation for 3D Object Detection via Semantic Point Generation ICCV 2021 To the Point: Efficient 3D Object Detection in the Range Image With Graph Convolution Kernels CVPR 2021 Improving 3D Object Detection through Progressive Population Based Augmentation ECCV 2020 Just Pick a Sign: Optimizing Deep Multitask Models with Gradient Sign Dropout NeurIPS 2020 Range Conditioned Dilated Convolutions for Scale Invariant 3D Object Detection CoRL 2020 Scalability in Perception for Autonomous Driving: Waymo Open Dataset CVPR 2020 STINet: Spatio-Temporal-Interactive Network for Pedestrian Detection and Trajectory Prediction CVPR 2020 SurfelGAN: Synthesizing Realistic Sensor Data for Autonomous Driving CVPR 2020 TNT: Target-driven Trajectory Prediction CoRL 2020 VectorNet: Encoding HD Maps and Agent Dynamics From Vectorized Representation CVPR 2020 End-to-End Multi-View Fusion for 3D Object Detection in LiDAR Point Clouds CoRL 2019 MultiPath: Multiple Probabilistic Anchor Trajectory Hypotheses for Behavior Prediction CoRL 2019 PointFusion: Deep Sensor Fusion for 3D Bounding Box Estimation CVPR 2018 3D Bounding Box Estimation Using Deep Learning and Geometry CVPR 2017 Going Deeper With Convolutions CVPR 2015 Capturing Long-tail Distributions of Object Subcategories CVPR 2014 Scalable Object Detection using Deep Neural Networks CVPR 2014