← Authors

Raquel Urtasun

170 papers · 2010–2025 · 11 conferences · across top CS/AI conferences

Achievements

🧭 Keyword Pioneer 🐣 Hot Topic Early Bird 🌈 Renaissance Researcher (5) πŸŒ‰ Interdisciplinary Bridge 🌍 Conference Polyglot (11) πŸ—ΊοΈ Taxonomy Completionist (25) 🐝 Cross-Pollinator (10) πŸƒ Academic Marathon (15) 🌟 Keyword Trendsetter Combo (22) 🏠 Conference Loyalist (22) πŸ“› The Namer πŸ‘‘ Domain Dominant (18) 🀝 Dynamic Duo (39) πŸ† Keyword Champion (2) 🌱 Topic Pioneer πŸ”¬ Deep Specialist (48) 🧬 Topic Evolution πŸš€ Conference Pioneer πŸ”₯ Unstoppable (16) ⚑ Prolific Year (24) ❓ The Questioner πŸ’Ž Century Club (170) πŸ—ƒοΈ Keyword Collector (83) πŸ“ˆ Trend Setter

Conferences

CVPR (65) ICCV (27) NIPS (22) CORL (19) ECCV (18) ICML (8) ICLR (5) AISTATS (3) JMLR (1) UAI (1) WACV (1)

Top co-authors

Sanja Fidler (39) Shenlong Wang (28) Sergio Casas (26) Sivabalan Manivasagam (21) Wei-Chiu Ma (21) Renjie Liao (20) Bin Yang (20) Mengye Ren (18) Yuwen Xiong (15) Yun Chen (13)

Keywords

semantic segmentation (26) autonomous driving (26) object detection (18) convolutional neural network (17) markov random field (12) 3d reconstruction (11) scene understanding (10) autonomous vehicle (9) 3d object detection (9) sensor simulation (9) point cloud (9) instance segmentation (8) structured prediction (7) depth estimation (7) trajectory prediction (7) lidar point cloud (7) 3d vision (7) sensor fusion (6) motion forecasting (6) representation learning (6)

Papers

MAD: Memory-Augmented Detection of 3D Objects CVPR 2025
FOMO-3D: Using Vision Foundation Models for Long-Tailed 3D Object Detection CORL 2025
DIO: Decomposable Implicit 4D Occupancy-Flow World Model CVPR 2025
GenAssets: Generating in-the-wild 3D Assets in Latent Space CVPR 2025
Learning to Drive via Asymmetric Self-Play ECCV 2024
DeTra: A Unified Model for Object Detection and Trajectory Forecasting ECCV 2024
UniCal: Unified Neural Sensor Calibration ECCV 2024
G3R: Gradient Guided Generalizable Reconstruction ECCV 2024
UnO: Unsupervised Occupancy Fields for Perception and Forecasting CVPR 2024
Copilot4D: Learning Unsupervised World Models for Autonomous Driving via Discrete Diffusion ICLR 2024
Towards Zero Domain Gap: A Comprehensive Study of Realistic LiDAR Simulation for Autonomy Testing ICCV 2023
UniSim: A Neural Closed-Loop Sensor Simulator CVPR 2023
Towards Unsupervised Object Detection From LiDAR Point Clouds CVPR 2023
Real-Time Neural Rasterization for Large Scenes ICCV 2023
Learning Realistic Traffic Agents in Closed-loop CORL 2023
MemorySeg: Online LiDAR Semantic Segmentation with a Latent Memory ICCV 2023
Implicit Occupancy Flow Fields for Perception and Prediction in Self-Driving CVPR 2023
LabelFormer: Object Trajectory Refinement for Offboard Perception from LiDAR Point Clouds CORL 2023
Adv3D: Generating Safety-Critical 3D Objects through Closed-Loop Simulation CORL 2023
Towards Scalable Coverage-Based Testing of Autonomous Vehicles CORL 2023
MixSim: A Hierarchical Framework for Mixed Reality Traffic Simulation CVPR 2023
Learning Compact Representations for LiDAR Completion and Generation CVPR 2023
Neural Lighting Simulation for Urban Scenes NIPS 2023
4D-Former: Multimodal 4D Panoptic Segmentation CORL 2023
Virtual Correspondence: Humans as a Cue for Extreme-View Geometry CVPR 2022
Rethinking Closed-Loop Training for Autonomous Driving ECCV 2022
Mending Neural Implicit Modeling for 3D Vehicle Reconstruction in the Wild WACV 2022
CADSim: Robust and Scalable in-the-wild 3D Reconstruction for Controllable Sensor Simulation CORL 2022
AdvSim: Generating Safety-Critical Scenarios for Self-Driving Vehicles CVPR 2021
A PAC-Bayesian Approach to Generalization Bounds for Graph Neural Networks ICLR 2021
Adversarial Attacks on Multi-Agent Communication ICCV 2021
LookOut: Diverse Multi-Future Prediction and Planning for Self-Driving ICCV 2021
Self-Supervised Representation Learning From Flow Equivariance ICCV 2021
NP-DRAW: A Non-Parametric Structured Latent Variable Model for Image Generation UAI 2021
Just Label What You Need: Fine-Grained Active Selection for P&P through Partially Labeled Scenes CORL 2021
Exploring Adversarial Robustness of Multi-sensor Perception Systems in Self Driving CORL 2021
Permute, Quantize, and Fine-Tune: Efficient Compression of Neural Networks CVPR 2021
MP3: A Unified Model To Map, Perceive, Predict and Plan CVPR 2021
TrafficSim: Learning To Simulate Realistic Multi-Agent Behaviors CVPR 2021
GeoSim: Realistic Video Simulation via Geometry-Aware Composition for Self-Driving CVPR 2021
Deep Multi-Task Learning for Joint Localization, Perception, and Prediction CVPR 2021
S3: Neural Shape, Skeleton, and Skinning Fields for 3D Human Modeling CVPR 2021
SceneGen: Learning To Generate Realistic Traffic Scenes CVPR 2021
Conditional Entropy Coding for Efficient Video Compression ECCV 2020
Weakly-supervised 3D Shape Completion in the Wild ECCV 2020
Deep Feedback Inverse Problem Solver ECCV 2020
V2VNet: Vehicle-to-Vehicle Communication for Joint Perception and Prediction ECCV 2020
Learning Lane Graph Representations for Motion Forecasting ECCV 2020
Multi-Agent Routing Value Iteration Network ICML 2020
Perceive, Predict, and Plan: Safe Motion Planning Through Interpretable Semantic Representations ECCV 2020
Implicit Latent Variable Model for Scene-Consistent Motion Forecasting ECCV 2020
Testing the Safety of Self-driving Vehicles by Simulating Perception and Prediction ECCV 2020
MuSCLE: Multi Sweep Compression of LiDAR using Deep Entropy Models NIPS 2020
LoCo: Local Contrastive Representation Learning NIPS 2020
Hierarchical Verification for Adversarial Robustness ICML 2020
OctSqueeze: Octree-Structured Entropy Model for LiDAR Compression CVPR 2020
PolyTransform: Deep Polygon Transformer for Instance Segmentation CVPR 2020
Physically Realizable Adversarial Examples for LiDAR Object Detection CVPR 2020
LiDARsim: Realistic LiDAR Simulation by Leveraging the Real World CVPR 2020
PnPNet: End-to-End Perception and Prediction With Tracking in the Loop CVPR 2020
Learning to Communicate and Correct Pose Errors CORL 2020
StrObe: Streaming Object Detection from LiDAR Packets CORL 2020
Universal Embeddings for Spatio-Temporal Tagging of Self-Driving Logs CORL 2020
Recovering and Simulating Pedestrians in the Wild CORL 2020
LiRaNet: End-to-End Trajectory Prediction using Spatio-Temporal Radar Fusion CORL 2020
DSDNet: Deep Structured self-Driving Network ECCV 2020
RadarNet: Exploiting Radar for Robust Perception of Dynamic Objects ECCV 2020
Learning to Localize Through Compressed Binary Maps CVPR 2019
Efficient Graph Generation with Graph Recurrent Attention Networks NIPS 2019
Identifying Unknown Instances for Autonomous Driving CORL 2019
Discrete Residual Flow for Probabilistic Pedestrian Behavior Prediction CORL 2019
Deep Rigid Instance Scene Flow CVPR 2019
Multi-Task Multi-Sensor Fusion for 3D Object Detection CVPR 2019
DARNet: Deep Active Ray Network for Building Segmentation CVPR 2019
End-To-End Interpretable Neural Motion Planner CVPR 2019
UPSNet: A Unified Panoptic Segmentation Network CVPR 2019
Convolutional Recurrent Network for Road Boundary Extraction CVPR 2019
DAGMapper: Learning to Map by Discovering Lane Topology ICCV 2019
DSIC: Deep Stereo Image Compression ICCV 2019
DMM-Net: Differentiable Mask-Matching Network for Video Object Segmentation ICCV 2019
DeepPruner: Learning Efficient Stereo Matching via Differentiable PatchMatch ICCV 2019
Learning Joint 2D-3D Representations for Depth Completion ICCV 2019
LanczosNet: Multi-Scale Deep Graph Convolutional Networks ICLR 2019
Dimensionality Reduction for Representing the Knowledge of Probabilistic Models ICLR 2019
Graph HyperNetworks for Neural Architecture Search ICLR 2019
Reviving and Improving Recurrent Back-Propagation ICML 2018
Learning to Reweight Examples for Robust Deep Learning ICML 2018
End-to-End Deep Structured Models for Drawing Crosswalks ECCV 2018
Deep Parametric Continuous Convolutional Neural Networks CVPR 2018
SurfConv: Bridging 3D and 2D Convolution for RGBD Images CVPR 2018
Deep Continuous Fusion for Multi-Sensor 3D Object Detection ECCV 2018
Neural Guided Constraint Logic Programming for Program Synthesis NIPS 2018
HDNET: Exploiting HD Maps for 3D Object Detection CORL 2018
Learning to Localize Using a LiDAR Intensity Map CORL 2018
IntentNet: Learning to Predict Intention from Raw Sensor Data CORL 2018
Hierarchical Recurrent Attention Networks for Structured Online Maps CVPR 2018
Fast and Furious: Real Time End-to-End 3D Detection, Tracking and Motion Forecasting With a Single Convolutional Net CVPR 2018
PIXOR: Real-Time 3D Object Detection From Point Clouds CVPR 2018
Matching Adversarial Networks CVPR 2018
SBNet: Sparse Blocks Network for Fast Inference CVPR 2018
Learning Deep Structured Active Contours End-to-End CVPR 2018
Single Image Intrinsic Decomposition without a Single Intrinsic Image ECCV 2018
GeoNet: Geometric Neural Network for Joint Depth and Surface Normal Estimation CVPR 2018
Situation Recognition With Graph Neural Networks ICCV 2017
Deep Spectral Clustering Learning ICML 2017
Annotating Object Instances With a Polygon-RNN CVPR 2017
Deep Watershed Transform for Instance Segmentation CVPR 2017
Sports Field Localization via Deep Structured Models CVPR 2017
Efficient Multiple Instance Metric Learning Using Weakly Supervised Data CVPR 2017
The Reversible Residual Network: Backpropagation Without Storing Activations NIPS 2017
Few-Shot Learning Through an Information Retrieval Lens NIPS 2017
Be Your Own Prada: Fashion Synthesis With Structural Coherence ICCV 2017
Towards Diverse and Natural Image Descriptions via a Conditional GAN ICCV 2017
TorontoCity: Seeing the World With a Million Eyes ICCV 2017
DeepRoadMapper: Extracting Road Topology From Aerial Images ICCV 2017
SGN: Sequential Grouping Networks for Instance Segmentation ICCV 2017
3D Graph Neural Networks for RGBD Semantic Segmentation ICCV 2017
Sequential Inference for Deep Gaussian Process AISTATS 2016
Instance-Level Segmentation for Autonomous Driving With Deep Densely Connected MRFs CVPR 2016
Monocular 3D Object Detection for Autonomous Driving CVPR 2016
HD Maps: Fine-Grained Road Segmentation by Parsing Ground and Aerial Images CVPR 2016
MovieQA: Understanding Stories in Movies Through Question-Answering CVPR 2016
Efficient Deep Learning for Stereo Matching CVPR 2016
Proximal Deep Structured Models NIPS 2016
Understanding the Effective Receptive Field in Deep Convolutional Neural Networks NIPS 2016
Learning Deep Parsimonious Representations NIPS 2016
Blending Learning and Inference in Conditional Random Fields JMLR 2016
Training Deep Neural Networks via Direct Loss Minimization ICML 2016
Skip-Thought Vectors NIPS 2015
Holistic 3D Scene Understanding From a Single Geo-Tagged Image CVPR 2015
3D Object Proposals for Accurate Object Class Detection NIPS 2015
Aligning Books and Movies: Towards Story-Like Visual Explanations by Watching Movies and Reading Books ICCV 2015
Enhancing Road Maps by Parsing Aerial Images Around the World ICCV 2015
Monocular Object Instance Segmentation and Depth Ordering With CNNs ICCV 2015
Learning Deep Structured Models ICML 2015
segDeepM: Exploiting Segmentation and Context in Deep Neural Networks for Object Detection CVPR 2015
Neuroaesthetics in Fashion: Modeling the Perception of Fashionability CVPR 2015
Lost Shopping! Monocular Localization in Large Indoor Spaces ICCV 2015
FollowMe: Efficient Online Min-Cost Flow Tracking With Bounded Memory and Computation ICCV 2015
Real-Time Coarse-to-Fine Topologically Preserving Segmentation CVPR 2015
Rent3D: Floor-Plan Priors for Monocular Layout Estimation CVPR 2015
Learning to Segment Under Various Forms of Weak Supervision CVPR 2015
Visual Semantic Search: Retrieving Videos via Complex Textual Queries CVPR 2014
What are You Talking About? Text-to-Image Coreference CVPR 2014
Beat the MTurkers: Automatic Image Labeling from Weak 3D Supervision CVPR 2014
Tell Me What You See and I will Show You Where It Is CVPR 2014
Detect What You Can: Detecting and Representing Objects using Holistic Models and Body Parts CVPR 2014
The Role of Context for Object Detection and Semantic Segmentation in the Wild CVPR 2014
Message Passing Inference for Large Scale Graphical Models with High Order Potentials NIPS 2014
Efficient Inference of Continuous Markov Random Fields with Polynomial Potentials NIPS 2014
Globally Convergent Parallel MAP LP Relaxation Solver using the Frank-Wolfe Algorithm ICML 2014
Understanding High-Level Semantics by Modeling Traffic Patterns ICCV 2013
Analyzing Semantic Segmentation Using Hybrid Human-Machine CRFs CVPR 2013
Latent Structured Active Learning NIPS 2013
Estimating the 3D Layout of Indoor Scenes and Its Clutter from Depth Sensors ICCV 2013
Box in the Box: Joint 3D Layout and Object Reasoning from Single Images ICCV 2013
Holistic Scene Understanding for 3D Object Detection with RGBD Cameras ICCV 2013
Lost! Leveraging the Crowd for Probabilistic Visual Self-Localization CVPR 2013
Bottom-Up Segmentation for Top-Down Detection CVPR 2013
Robust Monocular Epipolar Flow Estimation CVPR 2013
A Sentence Is Worth a Thousand Pixels CVPR 2013
A Family of MCMC Methods on Implicitly Defined Manifolds AISTATS 2012
Globally Convergent Dual MAP LP Relaxation Solvers using Fenchel-Young Margins NIPS 2012
3D Object Detection and Viewpoint Estimation with a Deformable 3D Cuboid Model NIPS 2012
Joint 3D Estimation of Objects and Scene Layout NIPS 2011
Learning Probabilistic Non-Linear Latent Variable Models for Tracking Complex Activities NIPS 2011
Sparse Coding for Learning Interpretable Spatio-Temporal Primitives NIPS 2010
Factorized Orthogonal Latent Spaces AISTATS 2010
A Primal-Dual Message-Passing Algorithm for Approximated Large Scale Structured Prediction NIPS 2010
Implicitly Constrained Gaussian Process Regression for Monocular Non-Rigid Pose Estimation NIPS 2010