← Authors

Dragomir Anguelov

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

Achievements

πŸƒ Academic Marathon (11) 🐣 Hot Topic Early Bird πŸŒ‰ Interdisciplinary Bridge πŸ—ΊοΈ Taxonomy Completionist (53) 🌈 Renaissance Researcher (7) 🧭 Keyword Pioneer 🐝 Cross-Pollinator (8) 🌍 Conference Polyglot (6) 🏠 Conference Loyalist (23) 🀝 Dynamic Duo (21) πŸ‘₯ Mega-Team (23) πŸ”¬ Deep Specialist (22) πŸ† Keyword Champion (3) πŸ—ƒοΈ Keyword Collector (161) πŸ’Ž Century Club (46) ⚑ Prolific Year (8) πŸ”₯ Unstoppable (9) πŸ“ˆ 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