Raquel Urtasun

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