Dragomir Anguelov

46 papers · 2014–2025 · 6 conferences · across top CS/AI conferences

Achievements

+13 more ↓

🏃 Academic Marathon (11) 🌉 Interdisciplinary Bridge 🌍 Conference Polyglot (6) 🧭 Keyword Pioneer 🐝 Cross-Pollinator (8)

🧭 Keyword Pioneer 🐝 Cross-Pollinator (8) 🌍 Conference Polyglot (6) 🏠 Conference Loyalist (23) 🤝 Dynamic Duo (21) 👥 Mega-Team (23) 🔬 Deep Specialist (22) 🏆 Keyword Champion (3) 🗃️ Keyword Collector (161) 💎 Century Club (46) ⚡ Prolific Year (8) 🔥 Unstoppable (9) 📈 Trend Setter

Conferences

CVPR (23) ECCV (8) CORL (6) NIPS (5) ICCV (3) ICLR (1)

Top co-authors

Yin Zhou (21) Charles R. Qi (13) Pei Sun (10) Yuning Chai (9) Mingxing Tan (8) Mahyar Najibi (7) Jingwei Ji (6) Zhaoqi Leng (6) Jiquan Ngiam (6) Jiyang Gao (5)

Keywords

autonomous driving (23) 3d object detection (11) trajectory prediction (8) point cloud (7) object detection (6) convolutional neural network (5) range image (4) diffusion model (3) motion forecasting (3) multi-agent system (3) scene generation (3) pedestrian detection (3) multi-agent simulation (3) semi-supervised learning (2) deep neural network (2) motion planning (2) neural radiance field (2) sensor fusion (2) multi-modal learning (2) deep learning (2)

Papers

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