Raquel Urtasun
Publication record assembled from the DBLP archive of ranked conferences.
Papers indexed
215
Venues
16
Active years
2001–2025
Best venue rank
A*
Where they publish
Papers
215 indexed papers, newest first.
| Year | Venue | Title | Authors |
|---|---|---|---|
| 2025 | CVPR | GenAssets: Generating in-the-wild 3D Assets in Latent Space. | Ze Yang, Jingkang Wang, Haowei Zhang, Sivabalan Manivasagam, Yun Chen, Raquel Urtasun |
| 2025 | CVPR | MAD: Memory-Augmented Detection of 3D Objects. | Ben Agro, Sergio Casas, Patrick Wang, Thomas Gilles, Raquel Urtasun |
| 2025 | CVPR | DIO: Decomposable Implicit 4D Occupancy-Flow World Model. | Christopher Diehl, Quinlan Sykora, Ben Agro, Thomas Gilles, Sergio Casas, Raquel Urtasun |
| 2024 | CVPR | UnO: Unsupervised Occupancy Fields for Perception and Forecasting. | Ben Agro, Quinlan Sykora, Sergio Casas, Thomas Gilles, Raquel Urtasun |
| 2024 | ECCV | DeTra: A Unified Model for Object Detection and Trajectory Forecasting. | Sergio Casas, Ben Agro, Jiageng Mao, Thomas Gilles, Alexander Cui, Thomas Li, Raquel Urtasun |
| 2024 | ECCV | G3R: Gradient Guided Generalizable Reconstruction. | Yun Chen, Jingkang Wang, Ze Yang, Sivabalan Manivasagam, Raquel Urtasun |
| 2024 | ECCV | UniCal: Unified Neural Sensor Calibration. | Ze Yang, George Chen, Haowei Zhang, Kevin Ta, Ioan Andrei Brsan, Daniel Murphy, Sivabalan Manivasagam, Raquel Urtasun |
| 2024 | ECCV | Learning to Drive via Asymmetric Self-Play. | Chris Zhang, Sourav Biswas, Kelvin Wong, Kion Fallah, Lunjun Zhang, Dian Chen, Sergio Casas, Raquel Urtasun |
| 2024 | ICLR | Copilot4D: Learning Unsupervised World Models for Autonomous Driving via Discrete Diffusion. | Lunjun Zhang, Yuwen Xiong, Ze Yang, Sergio Casas, Rui Hu, Raquel Urtasun |
| 2024 | ICRA | QuAD: Query-based Interpretable Neural Motion Planning for Autonomous Driving. | Sourav Biswas, Sergio Casas, Quinlan Sykora, Ben Agro, Abbas Sadat, Raquel Urtasun |
| 2024 | ICRA | SceneControl: Diffusion for Controllable Traffic Scene Generation. | Jack Lu, Kelvin Wong, Chris Zhang, Simon Suo, Raquel Urtasun |
| 2023 | CoRL | 4D-Former: Multimodal 4D Panoptic Segmentation. | Ali Athar, Enxu Li, Sergio Casas, Raquel Urtasun |
| 2023 | CoRL | Adv3D: Generating Safety-Critical 3D Objects through Closed-Loop Simulation. | Jay Sarva, Jingkang Wang, James Tu, Yuwen Xiong, Sivabalan Manivasagam, Raquel Urtasun |
| 2023 | CoRL | Towards Scalable Coverage-Based Testing of Autonomous Vehicles. | James Tu, Simon Suo, Chris Zhang, Kelvin Wong, Raquel Urtasun |
| 2023 | CoRL | LabelFormer: Object Trajectory Refinement for Offboard Perception from LiDAR Point Clouds. | Anqi Joyce Yang, Sergio Casas, Nikita Dvornik, Sean Segal, Yuwen Xiong, Jordan Sir Kwang Hu, Carter Fang, Raquel Urtasun |
| 2023 | CoRL | Learning Realistic Traffic Agents in Closed-loop. | Chris Zhang, James Tu, Lunjun Zhang, Kelvin Wong, Simon Suo, Raquel Urtasun |
| 2023 | CVPR | UniSim: A Neural Closed-Loop Sensor Simulator. | Ze Yang, Yun Chen, Jingkang Wang, Sivabalan Manivasagam, Wei-Chiu Ma, Anqi Joyce Yang, Raquel Urtasun |
| 2023 | CVPR | Implicit Occupancy Flow Fields for Perception and Prediction in Self-Driving. | Ben Agro, Quinlan Sykora, Sergio Casas, Raquel Urtasun |
| 2023 | CVPR | MIXSIM: A Hierarchical Framework for Mixed Reality Traffic Simulation. | Simon Suo, Kelvin Wong, Justin Xu, James Tu, Alexander Cui, Sergio Casas, Raquel Urtasun |
| 2023 | CVPR | Learning Compact Representations for LiDAR Completion and Generation. | Yuwen Xiong, Wei-Chiu Ma, Jingkang Wang, Raquel Urtasun |
| 2023 | CVPR | Towards Unsupervised Object Detection from LiDAR Point Clouds. | Lunjun Zhang, Anqi Joyce Yang, Yuwen Xiong, Sergio Casas, Bin Yang, Mengye Ren, Raquel Urtasun |
| 2023 | ICCV | MemorySeg: Online LiDAR Semantic Segmentation with a Latent Memory. | Enxu Li, Sergio Casas, Raquel Urtasun |
| 2023 | ICCV | Real-Time Neural Rasterization for Large Scenes. | Jeffrey Yunfan Liu, Yun Chen, Ze Yang, Jingkang Wang, Sivabalan Manivasagam, Raquel Urtasun |
| 2023 | ICCV | Towards Zero Domain Gap: A Comprehensive Study of Realistic LiDAR Simulation for Autonomy Testing. | Sivabalan Manivasagam, Ioan Andrei Brsan, Jingkang Wang, Ze Yang, Raquel Urtasun |
| 2023 | ICRA | GoRela: Go Relative for Viewpoint-Invariant Motion Forecasting. | Alexander Cui, Sergio Casas, Kelvin Wong, Simon Suo, Raquel Urtasun |
| 2023 | ICRA | Reconstructing Objects in-the-wild for Realistic Sensor Simulation. | Ze Yang, Sivabalan Manivasagam, Yun Chen, Jingkang Wang, Rui Hu, Raquel Urtasun |
| 2022 | CoRL | CADSim: Robust and Scalable in-the-wild 3D Reconstruction for Controllable Sensor Simulation. | Jingkang Wang, Sivabalan Manivasagam, Yun Chen, Ze Yang, Ioan Andrei Barsan, Anqi Joyce Yang, Wei-Chiu Ma, Raquel Urtasun |
| 2022 | CVPR | Virtual Correspondence: Humans as a Cue for Extreme-View Geometry. | Wei-Chiu Ma, Anqi Joyce Yang, Shenlong Wang, Raquel Urtasun, Antonio Torralba |
| 2022 | ECCV | Rethinking Closed-Loop Training for Autonomous Driving. | Chris Zhang, Runsheng Guo, Wenyuan Zeng, Yuwen Xiong, Binbin Dai, Rui Hu, Mengye Ren, Raquel Urtasun |
| 2022 | WACV | Mending Neural Implicit Modeling for 3D Vehicle Reconstruction in the Wild. | Shivam Duggal, Zihao Wang, Wei-Chiu Ma, Sivabalan Manivasagam, Justin Liang, Shenlong Wang, Raquel Urtasun |
| 2021 | CoRL | Just Label What You Need: Fine-Grained Active Selection for P&P through Partially Labeled Scenes. | Sean Segal, Nishanth Kumar, Sergio Casas, Wenyuan Zeng, Mengye Ren, Jingkang Wang, Raquel Urtasun |
| 2021 | CoRL | Exploring Adversarial Robustness of Multi-sensor Perception Systems in Self Driving. | James Tu, Huichen Li, Xinchen Yan, Mengye Ren, Yun Chen, Ming Liang, Eilyan Bitar, Ersin Yumer, Raquel Urtasun |
| 2021 | CVPR | MP3: A Unified Model To Map, Perceive, Predict and Plan. | Sergio Casas, Abbas Sadat, Raquel Urtasun |
| 2021 | CVPR | GeoSim: Realistic Video Simulation via Geometry-Aware Composition for Self-Driving. | Yun Chen, Frieda Rong, Shivam Duggal, Shenlong Wang, Xinchen Yan, Sivabalan Manivasagam, Shangjie Xue, Ersin Yumer, Raquel Urtasun |
| 2021 | CVPR | Permute, Quantize, and Fine-Tune: Efficient Compression of Neural Networks. | Julieta Martinez, Jashan Shewakramani, Ting-Wei Liu, Ioan Andrei Barsan, Wenyuan Zeng, Raquel Urtasun |
| 2021 | CVPR | Deep Multi-Task Learning for Joint Localization, Perception, and Prediction. | John Phillips, Julieta Martinez, Ioan Andrei Barsan, Sergio Casas, Abbas Sadat, Raquel Urtasun |
| 2021 | CVPR | TrafficSim: Learning To Simulate Realistic Multi-Agent Behaviors. | Simon Suo, Sebastian Regalado, Sergio Casas, Raquel Urtasun |
| 2021 | CVPR | SceneGen: Learning To Generate Realistic Traffic Scenes. | Shuhan Tan, Kelvin Wong, Shenlong Wang, Sivabalan Manivasagam, Mengye Ren, Raquel Urtasun |
| 2021 | CVPR | AdvSim: Generating Safety-Critical Scenarios for Self-Driving Vehicles. | Jingkang Wang, Ava Pun, James Tu, Sivabalan Manivasagam, Abbas Sadat, Sergio Casas, Mengye Ren, Raquel Urtasun |
| 2021 | CVPR | S3: Neural Shape, Skeleton, and Skinning Fields for 3D Human Modeling. | Ze Yang, Shenlong Wang, Sivabalan Manivasagam, Zeng Huang, Wei-Chiu Ma, Xinchen Yan, Ersin Yumer, Raquel Urtasun |
| 2021 | ICCV | LookOut: Diverse Multi-Future Prediction and Planning for Self-Driving. | Alexander Cui, Sergio Casas, Abbas Sadat, Renjie Liao, Raquel Urtasun |
| 2021 | ICCV | Adversarial Attacks On Multi-Agent Communication. | James Tu, Tsun-Hsuan Wang, Jingkang Wang, Sivabalan Manivasagam, Mengye Ren, Raquel Urtasun |
| 2021 | ICLR | A PAC-Bayesian Approach to Generalization Bounds for Graph Neural Networks. | Renjie Liao, Raquel Urtasun, Richard S. Zemel |
| 2021 | ICRA | Deep Structured Reactive Planning. | Jerry Liu, Wenyuan Zeng, Raquel Urtasun, Ersin Yumer |
| 2021 | IROS | Safety-Oriented Pedestrian Occupancy Forecasting. | Katie Luo, Sergio Casas, Renjie Liao, Xinchen Yan, Yuwen Xiong, Wenyuan Zeng, Raquel Urtasun |
| 2021 | IROS | Diverse Complexity Measures for Dataset Curation in Self-Driving. | Abbas Sadat, Sean Segal, Sergio Casas, James Tu, Bin Yang, Raquel Urtasun, Ersin Yumer |
| 2021 | IROS | PLUMENet: Efficient 3D Object Detection from Stereo Images. | Yan Wang, Bin Yang, Rui Hu, Ming Liang, Raquel Urtasun |
| 2021 | IROS | LaneRCNN: Distributed Representations for Graph-Centric Motion Forecasting. | Wenyuan Zeng, Ming Liang, Renjie Liao, Raquel Urtasun |
| 2021 | ICRA | Perceive, Attend, and Drive: Learning Spatial Attention for Safe Self-Driving. | Bob Wei, Mengye Ren, Wenyuan Zeng, Ming Liang, Bin Yang, Raquel Urtasun |
| 2021 | ICRA | Asynchronous Multi-View SLAM. | Anqi Joyce Yang, Can Cui, Ioan Andrei Brsan, Raquel Urtasun, Shenlong Wang |
| 2021 | UAI | NP-DRAW: A Non-Parametric Structured Latent Variable Model for Image Generation. | Xiaohui Zeng, Raquel Urtasun, Richard S. Zemel, Sanja Fidler, Renjie Liao |
| 2020 | CoRL | StrObe: Streaming Object Detection from LiDAR Packets. | Davi Frossard, Shun Da Suo, Sergio Casas, James Tu, Raquel Urtasun |
| 2020 | CoRL | Universal Embeddings for Spatio-Temporal Tagging of Self-Driving Logs. | Sean Segal, Eric Kee, Wenjie Luo, Abbas Sadat, Ersin Yumer, Raquel Urtasun |
| 2020 | CoRL | LiRaNet: End-to-End Trajectory Prediction using Spatio-Temporal Radar Fusion. | Meet Shah, Zhiling Huang, Ankit Laddha, Matthew Langford, Blake Barber, Sida Zhang, Carlos Vallespi-Gonzalez, Raquel Urtasun |
| 2020 | CoRL | Learning to Communicate and Correct Pose Errors. | Nicholas Vadivelu, Mengye Ren, James Tu, Jingkang Wang, Raquel Urtasun |
| 2020 | CoRL | Recovering and Simulating Pedestrians in the Wild. | Ze Yang, Sivabalan Manivasagam, Ming Liang, Bin Yang, Wei-Chiu Ma, Raquel Urtasun |
| 2020 | CVPR | OctSqueeze: Octree-Structured Entropy Model for LiDAR Compression. | Lila Huang, Shenlong Wang, Kelvin Wong, Jerry Liu, Raquel Urtasun |
| 2020 | CVPR | PolyTransform: Deep Polygon Transformer for Instance Segmentation. | Justin Liang, Namdar Homayounfar, Wei-Chiu Ma, Yuwen Xiong, Rui Hu, Raquel Urtasun |
| 2020 | CVPR | PnPNet: End-to-End Perception and Prediction With Tracking in the Loop. | Ming Liang, Bin Yang, Wenyuan Zeng, Yun Chen, Rui Hu, Sergio Casas, Raquel Urtasun |
| 2020 | CVPR | LiDARsim: Realistic LiDAR Simulation by Leveraging the Real World. | Sivabalan Manivasagam, Shenlong Wang, Kelvin Wong, Wenyuan Zeng, Mikita Sazanovich, Shuhan Tan, Bin Yang, Wei-Chiu Ma, Raquel Urtasun |
| 2020 | CVPR | Physically Realizable Adversarial Examples for LiDAR Object Detection. | James Tu, Mengye Ren, Sivabalan Manivasagam, Ming Liang, Bin Yang, Richard Du, Frank Cheng, Raquel Urtasun |
| 2020 | ECCV | Implicit Latent Variable Model for Scene-Consistent Motion Forecasting. | Sergio Casas, Cole Gulino, Simon Suo, Katie Luo, Renjie Liao, Raquel Urtasun |
| 2020 | ECCV | Weakly-Supervised 3D Shape Completion in the Wild. | Jiayuan Gu, Wei-Chiu Ma, Sivabalan Manivasagam, Wenyuan Zeng, Zihao Wang, Yuwen Xiong, Hao Su, Raquel Urtasun |
| 2020 | ECCV | LevelSet R-CNN: A Deep Variational Method for Instance Segmentation. | Namdar Homayounfar, Yuwen Xiong, Justin Liang, Wei-Chiu Ma, Raquel Urtasun |
| 2020 | ECCV | Learning Lane Graph Representations for Motion Forecasting. | Ming Liang, Bin Yang, Rui Hu, Yun Chen, Renjie Liao, Song Feng, Raquel Urtasun |
| 2020 | ECCV | Conditional Entropy Coding for Efficient Video Compression. | Jerry Liu, Shenlong Wang, Wei-Chiu Ma, Meet Shah, Rui Hu, Pranaab Dhawan, Raquel Urtasun |
| 2020 | ECCV | Deep Feedback Inverse Problem Solver. | Wei-Chiu Ma, Shenlong Wang, Jiayuan Gu, Sivabalan Manivasagam, Antonio Torralba, Raquel Urtasun |
| 2020 | ECCV | Perceive, Predict, and Plan: Safe Motion Planning Through Interpretable Semantic Representations. | Abbas Sadat, Sergio Casas, Mengye Ren, Xinyu Wu, Pranaab Dhawan, Raquel Urtasun |
| 2020 | ECCV | V2VNet: Vehicle-to-Vehicle Communication for Joint Perception and Prediction. | Tsun-Hsuan Wang, Sivabalan Manivasagam, Ming Liang, Bin Yang, Wenyuan Zeng, Raquel Urtasun |
| 2020 | ECCV | Testing the Safety of Self-driving Vehicles by Simulating Perception and Prediction. | Kelvin Wong, Qiang Zhang, Ming Liang, Bin Yang, Renjie Liao, Abbas Sadat, Raquel Urtasun |
| 2020 | ECCV | RadarNet: Exploiting Radar for Robust Perception of Dynamic Objects. | Bin Yang, Runsheng Guo, Ming Liang, Sergio Casas, Raquel Urtasun |
| 2020 | ECCV | Dense RepPoints: Representing Visual Objects with Dense Point Sets. | Ze Yang, Yinghao Xu, Han Xue, Zheng Zhang, Raquel Urtasun, Liwei Wang, Stephen Lin, Han Hu |
| 2020 | ECCV | DSDNet: Deep Structured Self-driving Network. | Wenyuan Zeng, Shenlong Wang, Renjie Liao, Yun Chen, Bin Yang, Raquel Urtasun |
| 2020 | ICML | Hierarchical Verification for Adversarial Robustness. | Cong Han Lim, Raquel Urtasun, Ersin Yumer |
| 2020 | ICML | Multi-Agent Routing Value Iteration Network. | Quinlan Sykora, Mengye Ren, Raquel Urtasun |
| 2020 | ICRA | SpAGNN: Spatially-Aware Graph Neural Networks for Relational Behavior Forecasting from Sensor Data. | Sergio Casas, Cole Gulino, Renjie Liao, Raquel Urtasun |
| 2020 | IROS | The Importance of Prior Knowledge in Precise Multimodal Prediction. | Sergio Casas, Cole Gulino, Simon Suo, Raquel Urtasun |
| 2020 | IROS | End-to-end Contextual Perception and Prediction with Interaction Transformer. | Lingyun Luke Li, Bin Yang, Ming Liang, Wenyuan Zeng, Mengye Ren, Sean Segal, Raquel Urtasun |
| 2020 | IROS | Pit30M: A Benchmark for Global Localization in the Age of Self-Driving Cars. | Julieta Martinez, Sasha Doubov, Jack Fan, Ioan Andrei Brsan, Shenlong Wang, Gellrt Mttyus, Raquel Urtasun |
| 2019 | ACSSC | Inference in Probabilistic Graphical Models by Graph Neural Networks. | KiJung Yoon, Renjie Liao, Yuwen Xiong, Lisa Zhang, Ethan Fetaya, Raquel Urtasun, Richard S. Zemel, Xaq Pitkow |
| 2019 | CoRL | Discrete Residual Flow for Probabilistic Pedestrian Behavior Prediction. | Ajay Jain, Sergio Casas, Renjie Liao, Yuwen Xiong, Song Feng, Sean Segal, Raquel Urtasun |
| 2019 | CoRL | Identifying Unknown Instances for Autonomous Driving. | Kelvin Wong, Shenlong Wang, Mengye Ren, Ming Liang, Raquel Urtasun |
| 2019 | CVPR | DARNet: Deep Active Ray Network for Building Segmentation. | Dominic Cheng, Renjie Liao, Sanja Fidler, Raquel Urtasun |
| 2019 | CVPR | Convolutional Recurrent Network for Road Boundary Extraction. | Justin Liang, Namdar Homayounfar, Wei-Chiu Ma, Shenlong Wang, Raquel Urtasun |
| 2019 | CVPR | Multi-Task Multi-Sensor Fusion for 3D Object Detection. | Ming Liang, Bin Yang, Yun Chen, Rui Hu, Raquel Urtasun |
| 2019 | CVPR | Deep Rigid Instance Scene Flow. | Wei-Chiu Ma, Shenlong Wang, Rui Hu, Yuwen Xiong, Raquel Urtasun |
| 2019 | CVPR | Learning to Localize Through Compressed Binary Maps. | Xinkai Wei, Ioan Andrei Barsan, Shenlong Wang, Julieta Martinez, Raquel Urtasun |
| 2019 | CVPR | UPSNet: A Unified Panoptic Segmentation Network. | Yuwen Xiong, Renjie Liao, Hengshuang Zhao, Rui Hu, Min Bai, Ersin Yumer, Raquel Urtasun |
| 2019 | CVPR | End-To-End Interpretable Neural Motion Planner. | Wenyuan Zeng, Wenjie Luo, Simon Suo, Abbas Sadat, Bin Yang, Sergio Casas, Raquel Urtasun |
| 2019 | ICCV | Learning Joint 2D-3D Representations for Depth Completion. | Yun Chen, Bin Yang, Ming Liang, Raquel Urtasun |
| 2019 | ICCV | DeepPruner: Learning Efficient Stereo Matching via Differentiable PatchMatch. | Shivam Duggal, Shenlong Wang, Wei-Chiu Ma, Rui Hu, Raquel Urtasun |
| 2019 | ICCV | DAGMapper: Learning to Map by Discovering Lane Topology. | Namdar Homayounfar, Justin Liang, Wei-Chiu Ma, Jack Fan, Xinyu Wu, Raquel Urtasun |
| 2019 | ICCV | DSIC: Deep Stereo Image Compression. | Jerry Liu, Shenlong Wang, Raquel Urtasun |
| 2019 | ICCV | DMM-Net: Differentiable Mask-Matching Network for Video Object Segmentation. | Xiaohui Zeng, Renjie Liao, Li Gu, Yuwen Xiong, Sanja Fidler, Raquel Urtasun |
| 2019 | ICLR | Dimensionality Reduction for Representing the Knowledge of Probabilistic Models. | Marc T. Law, Jake Snell, Amir-massoud Farahmand, Raquel Urtasun, Richard S. Zemel |
| 2019 | ICLR | LanczosNet: Multi-Scale Deep Graph Convolutional Networks. | Renjie Liao, Zhizhen Zhao, Raquel Urtasun, Richard S. Zemel |
| 2019 | ICLR | Graph HyperNetworks for Neural Architecture Search. | Chris Zhang, Mengye Ren, Raquel Urtasun |
| 2019 | ICRA | DeepSignals: Predicting Intent of Drivers Through Visual Signals. | Davi Frossard, Eric Kee, Raquel Urtasun |
| 2019 | IROS | Exploiting Sparse Semantic HD Maps for Self-Driving Vehicle Localization. | Wei-Chiu Ma, Raquel Urtasun, Ignacio Tartavull, Ioan Andrei Brsan, Shenlong Wang, Min Bai, Gellrt Mttyus, Namdar Homayounfar, Shrinidhi Kowshika Lakshmikanth, Andrei Pokrovsky |
| 2019 | IROS | Jointly Learnable Behavior and Trajectory Planning for Self-Driving Vehicles. | Abbas Sadat, Mengye Ren, Andrei Pokrovsky, Yen-Chen Lin, Ersin Yumer, Raquel Urtasun |
| 2018 | CoRL | Learning to Localize Using a LiDAR Intensity Map. | Ioan Andrei Barsan, Shenlong Wang, Andrei Pokrovsky, Raquel Urtasun |
| 2018 | CoRL | IntentNet: Learning to Predict Intention from Raw Sensor Data. | Sergio Casas, Wenjie Luo, Raquel Urtasun |
| 2018 | CoRL | HDNET: Exploiting HD Maps for 3D Object Detection. | Bin Yang, Ming Liang, Raquel Urtasun |
| 2018 | CVPR | SurfConv: Bridging 3D and 2D Convolution for RGBD Images. | Hang Chu, Wei-Chiu Ma, Kaustav Kundu, Raquel Urtasun, Sanja Fidler |
| 2018 | CVPR | Hierarchical Recurrent Attention Networks for Structured Online Maps. | Namdar Homayounfar, Wei-Chiu Ma, Shrinidhi Kowshika Lakshmikanth, Raquel Urtasun |
| 2018 | CVPR | Fast and Furious: Real Time End-to-End 3D Detection, Tracking and Motion Forecasting With a Single Convolutional Net. | Wenjie Luo, Bin Yang, Raquel Urtasun |
| 2018 | CVPR | Learning Deep Structured Active Contours End-to-End. | Diego Marcos, Devis Tuia, Benjamin Kellenberger, Lisa Zhang, Min Bai, Renjie Liao, Raquel Urtasun |
| 2018 | CVPR | Matching Adversarial Networks. | Gellrt Mttyus, Raquel Urtasun |
| 2018 | CVPR | GeoNet: Geometric Neural Network for Joint Depth and Surface Normal Estimation. | Xiaojuan Qi, Renjie Liao, Zhengzhe Liu, Raquel Urtasun, Jiaya Jia |
| 2018 | CVPR | SBNet: Sparse Blocks Network for Fast Inference. | Mengye Ren, Andrei Pokrovsky, Bin Yang, Raquel Urtasun |
| 2018 | CVPR | Deep Parametric Continuous Convolutional Neural Networks. | Shenlong Wang, Simon Suo, Wei-Chiu Ma, Andrei Pokrovsky, Raquel Urtasun |
| 2018 | CVPR | PIXOR: Real-Time 3D Object Detection From Point Clouds. | Bin Yang, Wenjie Luo, Raquel Urtasun |
| 2018 | ECCV | End-to-End Deep Structured Models for Drawing Crosswalks. | Justin Liang, Raquel Urtasun |
| 2018 | ECCV | Deep Continuous Fusion for Multi-sensor 3D Object Detection. | Ming Liang, Bin Yang, Shenlong Wang, Raquel Urtasun |
| 2018 | ECCV | Single Image Intrinsic Decomposition Without a Single Intrinsic Image. | Wei-Chiu Ma, Hang Chu, Bolei Zhou, Raquel Urtasun, Antonio Torralba |
| 2018 | ICLR | Graph Partition Neural Networks for Semi-Supervised Classification. | Renjie Liao, Marc Brockschmidt, Daniel Tarlow, Alexander L. Gaunt, Raquel Urtasun, Richard S. Zemel |
| 2018 | ICLR | Inference in probabilistic graphical models by Graph Neural Networks. | KiJung Yoon, Renjie Liao, Yuwen Xiong, Lisa Zhang, Ethan Fetaya, Raquel Urtasun, Richard S. Zemel, Xaq Pitkow |
| 2018 | ICLR | Leveraging Constraint Logic Programming for Neural Guided Program Synthesis. | Lisa Zhang, Gregory Rosenblatt, Ethan Fetaya, Renjie Liao, William E. Byrd, Raquel Urtasun, Richard S. Zemel |
| 2018 | ICML | Reviving and Improving Recurrent Back-Propagation. | Renjie Liao, Yuwen Xiong, Ethan Fetaya, Lisa Zhang, KiJung Yoon, Xaq Pitkow, Raquel Urtasun, Richard S. Zemel |
| 2018 | ICML | Learning to Reweight Examples for Robust Deep Learning. | Mengye Ren, Wenyuan Zeng, Bin Yang, Raquel Urtasun |
| 2018 | ICRA | End-to-end Learning of Multi-sensor 3D Tracking by Detection. | Davi Frossard, Raquel Urtasun |
| 2018 | IROS | Deep Multi-Sensor Lane Detection. | Min Bai, Gellrt Mttyus, Namdar Homayounfar, Shenlong Wang, Shrinidhi Kowshika Lakshmikanth, Raquel Urtasun |
| 2017 | CVPR | Deep Watershed Transform for Instance Segmentation. | Min Bai, Raquel Urtasun |
| 2017 | CVPR | Annotating Object Instances with a Polygon-RNN. | Llus Castrejn, Kaustav Kundu, Raquel Urtasun, Sanja Fidler |
| 2017 | CVPR | Sports Field Localization via Deep Structured Models. | Namdar Homayounfar, Sanja Fidler, Raquel Urtasun |
| 2017 | CVPR | Efficient Multiple Instance Metric Learning Using Weakly Supervised Data. | Marc T. Law, Yaoliang Yu, Raquel Urtasun, Richard S. Zemel, Eric P. Xing |
| 2017 | ICCV | Towards Diverse and Natural Image Descriptions via a Conditional GAN. | Bo Dai, Sanja Fidler, Raquel Urtasun, Dahua Lin |
| 2017 | ICCV | Situation Recognition with Graph Neural Networks. | Ruiyu Li, Makarand Tapaswi, Renjie Liao, Jiaya Jia, Raquel Urtasun, Sanja Fidler |
| 2017 | ICCV | SGN: Sequential Grouping Networks for Instance Segmentation. | Shu Liu, Jiaya Jia, Sanja Fidler, Raquel Urtasun |
| 2017 | ICCV | DeepRoadMapper: Extracting Road Topology from Aerial Images. | Gellrt Mttyus, Wenjie Luo, Raquel Urtasun |
| 2017 | ICCV | 3D Graph Neural Networks for RGBD Semantic Segmentation. | Xiaojuan Qi, Renjie Liao, Jiaya Jia, Sanja Fidler, Raquel Urtasun |
| 2017 | ICCV | TorontoCity: Seeing the World with a Million Eyes. | Shenlong Wang, Min Bai, Gellrt Mttyus, Hang Chu, Wenjie Luo, Bin Yang, Justin Liang, Joel Cheverie, Sanja Fidler, Raquel Urtasun |
| 2017 | ICCV | Be Your Own Prada: Fashion Synthesis with Structural Coherence. | Shizhan Zhu, Sanja Fidler, Raquel Urtasun, Dahua Lin, Chen Change Loy |
| 2017 | ICLR | Joint Embeddings of Scene Graphs and Images. | Eugene Belilovsky, Matthew B. Blaschko, Jamie Ryan Kiros, Raquel Urtasun, Richard S. Zemel |
| 2017 | ICLR | Song From PI: A Musically Plausible Network for Pop Music Generation. | Hang Chu, Raquel Urtasun, Sanja Fidler |
| 2017 | ICLR | Normalizing the Normalizers: Comparing and Extending Network Normalization Schemes. | Mengye Ren, Renjie Liao, Raquel Urtasun, Fabian H. Sinz, Richard S. Zemel |
| 2017 | ICML | Deep Spectral Clustering Learning. | Marc T. Law, Raquel Urtasun, Richard S. Zemel |
| 2017 | ICRA | Find your way by observing the sun and other semantic cues. | Wei-Chiu Ma, Shenlong Wang, Marcus A. Brubaker, Sanja Fidler, Raquel Urtasun |
| 2016 | AISTATS | Sequential Inference for Deep Gaussian Process. | Yali Wang, Marcus A. Brubaker, Brahim Chaib-draa, Raquel Urtasun |
| 2016 | BMVC | Towards Affordable Self-driving Cars. | Raquel Urtasun |
| 2016 | CVPR | Monocular 3D Object Detection for Autonomous Driving. | Xiaozhi Chen, Kaustav Kundu, Ziyu Zhang, Huimin Ma, Sanja Fidler, Raquel Urtasun |
| 2016 | CVPR | Efficient Deep Learning for Stereo Matching. | Wenjie Luo, Alexander G. Schwing, Raquel Urtasun |
| 2016 | CVPR | HD Maps: Fine-Grained Road Segmentation by Parsing Ground and Aerial Images. | Gellrt Mttyus, Shenlong Wang, Sanja Fidler, Raquel Urtasun |
| 2016 | CVPR | MovieQA: Understanding Stories in Movies through Question-Answering. | Makarand Tapaswi, Yukun Zhu, Rainer Stiefelhagen, Antonio Torralba, Raquel Urtasun, Sanja Fidler |
| 2016 | CVPR | Instance-Level Segmentation for Autonomous Driving with Deep Densely Connected MRFs. | Ziyu Zhang, Sanja Fidler, Raquel Urtasun |
| 2016 | ECCV | Exploiting Semantic Information and Deep Matching for Optical Flow. | Min Bai, Wenjie Luo, Kaustav Kundu, Raquel Urtasun |
| 2016 | ECCV | HouseCraft: Building Houses from Rental Ads and Street Views. | Hang Chu, Shenlong Wang, Raquel Urtasun, Sanja Fidler |
| 2016 | ICML | Training Deep Neural Networks via Direct Loss Minimization. | Yang Song, Alexander G. Schwing, Richard S. Zemel, Raquel Urtasun |
| 2015 | BMVC | Generating Multi-sentence Natural Language Descriptions of Indoor Scenes. | Dahua Lin, Sanja Fidler, Chen Kong, Raquel Urtasun |
| 2015 | CVPR | Rent3D: Floor-plan priors for monocular layout estimation. | Chenxi Liu, Alexander G. Schwing, Kaustav Kundu, Raquel Urtasun, Sanja Fidler |
| 2015 | CVPR | Neuroaesthetics in fashion: Modeling the perception of fashionability. | Edgar Simo-Serra, Sanja Fidler, Francesc Moreno-Noguer, Raquel Urtasun |
| 2015 | CVPR | Holistic 3D scene understanding from a single geo-tagged image. | Shenlong Wang, Sanja Fidler, Raquel Urtasun |
| 2015 | CVPR | Learning to segment under various forms of weak supervision. | Jia Xu, Alexander G. Schwing, Raquel Urtasun |
| 2015 | CVPR | Real-time coarse-to-fine topologically preserving segmentation. | Jian Yao, Marko Boben, Sanja Fidler, Raquel Urtasun |
| 2015 | CVPR | segDeepM: Exploiting segmentation and context in deep neural networks for object detection. | Yukun Zhu, Raquel Urtasun, Ruslan Salakhutdinov, Sanja Fidler |
| 2015 | ICCV | FollowMe: Efficient Online Min-Cost Flow Tracking with Bounded Memory and Computation. | Philip Lenz, Andreas Geiger, Raquel Urtasun |
| 2015 | ICCV | Enhancing Road Maps by Parsing Aerial Images Around the World. | Gellrt Mttyus, Shenlong Wang, Sanja Fidler, Raquel Urtasun |
| 2015 | ICCV | Lost Shopping! Monocular Localization in Large Indoor Spaces. | Shenlong Wang, Sanja Fidler, Raquel Urtasun |
| 2015 | ICCV | Monocular Object Instance Segmentation and Depth Ordering with CNNs. | Ziyu Zhang, Alexander G. Schwing, Sanja Fidler, Raquel Urtasun |
| 2015 | ICCV | Aligning Books and Movies: Towards Story-Like Visual Explanations by Watching Movies and Reading Books. | Yukun Zhu, Ryan Kiros, Richard S. Zemel, Ruslan Salakhutdinov, Raquel Urtasun, Antonio Torralba, Sanja Fidler |
| 2015 | ICML | Learning Deep Structured Models. | Liang-Chieh Chen, Alexander G. Schwing, Alan L. Yuille, Raquel Urtasun |
| 2015 | WACV | Estimating Drivable Collision-Free Space from Monocular Video. | Jian Yao, Srikumar Ramalingam, Yuichi Taguchi, Yohei Miki, Raquel Urtasun |
| 2014 | ACCV | A High Performance CRF Model for Clothes Parsing. | Edgar Simo-Serra, Sanja Fidler, Francesc Moreno-Noguer, Raquel Urtasun |
| 2014 | CVPR | Beat the MTurkers: Automatic Image Labeling from Weak 3D Supervision. | Liang-Chieh Chen, Sanja Fidler, Raquel Urtasun |
| 2014 | CVPR | Detect What You Can: Detecting and Representing Objects Using Holistic Models and Body Parts. | Xianjie Chen, Roozbeh Mottaghi, Xiaobai Liu, Sanja Fidler, Raquel Urtasun, Alan L. Yuille |
| 2014 | CVPR | What Are You Talking About? Text-to-Image Coreference. | Chen Kong, Dahua Lin, Mohit Bansal, Raquel Urtasun, Sanja Fidler |
| 2014 | CVPR | Visual Semantic Search: Retrieving Videos via Complex Textual Queries. | Dahua Lin, Sanja Fidler, Chen Kong, Raquel Urtasun |
| 2014 | CVPR | The Role of Context for Object Detection and Semantic Segmentation in the Wild. | Roozbeh Mottaghi, Xianjie Chen, Xiaobai Liu, Nam-Gyu Cho, Seong-Whan Lee, Sanja Fidler, Raquel Urtasun, Alan L. Yuille |
| 2014 | CVPR | Tell Me What You See and I Will Show You Where It Is. | Jia Xu, Alexander G. Schwing, Raquel Urtasun |
| 2014 | ECCV | Efficient Joint Segmentation, Occlusion Labeling, Stereo and Flow Estimation. | Koichiro Yamaguchi, David A. McAllester, Raquel Urtasun |
| 2014 | ICCP | Transductive Gaussian processes for image denoising. | Shenlong Wang, Lei Zhang, Raquel Urtasun |
| 2014 | ICML | Globally Convergent Parallel MAP LP Relaxation Solver using the Frank-Wolfe Algorithm. | Alexander G. Schwing, Tamir Hazan, Marc Pollefeys, Raquel Urtasun |
| 2014 | UAI | Bayesian Filtering with Online Gaussian Process Latent Variable Models. | Yali Wang, Marcus A. Brubaker, Brahim Chaib-draa, Raquel Urtasun |
| 2013 | CVPR | Lost! Leveraging the Crowd for Probabilistic Visual Self-Localization. | Marcus A. Brubaker, Andreas Geiger, Raquel Urtasun |
| 2013 | CVPR | Bottom-Up Segmentation for Top-Down Detection. | Sanja Fidler, Roozbeh Mottaghi, Alan L. Yuille, Raquel Urtasun |
| 2013 | CVPR | A Sentence Is Worth a Thousand Pixels. | Sanja Fidler, Abhishek Sharma, Raquel Urtasun |
| 2013 | CVPR | Analyzing Semantic Segmentation Using Hybrid Human-Machine CRFs. | Roozbeh Mottaghi, Sanja Fidler, Jian Yao, Raquel Urtasun, Devi Parikh |
| 2013 | CVPR | Robust Monocular Epipolar Flow Estimation. | Koichiro Yamaguchi, David A. McAllester, Raquel Urtasun |
| 2013 | ICCV | Holistic Scene Understanding for 3D Object Detection with RGBD Cameras. | Dahua Lin, Sanja Fidler, Raquel Urtasun |
| 2013 | ICCV | Box in the Box: Joint 3D Layout and Object Reasoning from Single Images. | Alexander G. Schwing, Sanja Fidler, Marc Pollefeys, Raquel Urtasun |
| 2013 | ICCV | Understanding High-Level Semantics by Modeling Traffic Patterns. | Hongyi Zhang, Andreas Geiger, Raquel Urtasun |
| 2013 | ICCV | Estimating the 3D Layout of Indoor Scenes and Its Clutter from Depth Sensors. | Jian Zhang, Chen Kan, Alexander G. Schwing, Raquel Urtasun |
| 2012 | CVPR | Are we ready for autonomous driving? The KITTI vision benchmark suite. | Andreas Geiger, Philip Lenz, Raquel Urtasun |
| 2012 | CVPR | Efficient structured prediction for 3D indoor scene understanding. | Alexander G. Schwing, Tamir Hazan, Marc Pollefeys, Raquel Urtasun |
| 2012 | CVPR | A constrained latent variable model. | Aydin Varol, Mathieu Salzmann, Pascal Fua, Raquel Urtasun |
| 2012 | CVPR | Describing the scene as a whole: Joint object detection, scene classification and semantic segmentation. | Jian Yao, Sanja Fidler, Raquel Urtasun |
| 2012 | ECCV | Beyond Feature Points: Structured Prediction for Monocular Non-rigid 3D Reconstruction. | Mathieu Salzmann, Raquel Urtasun |
| 2012 | ECCV | Efficient Exact Inference for 3D Indoor Scene Understanding. | Alexander G. Schwing, Raquel Urtasun |
| 2012 | ECCV | Continuous Markov Random Fields for Robust Stereo Estimation. | Koichiro Yamaguchi, Tamir Hazan, David A. McAllester, Raquel Urtasun |
| 2012 | ICML | Efficient Structured Prediction with Latent Variables for General Graphical Models. | Alexander G. Schwing, Tamir Hazan, Marc Pollefeys, Raquel Urtasun |
| 2011 | CVPR | A generative model for 3D urban scene understanding from movable platforms. | Andreas Geiger, Martin Lauer, Raquel Urtasun |
| 2011 | CVPR | Distributed message passing for large scale graphical models. | Alexander G. Schwing, Tamir Hazan, Marc Pollefeys, Raquel Urtasun |
| 2011 | CVPR | Supervised hierarchical Pitman-Yor process for natural scene segmentation. | Alex Shyr, Trevor Darrell, Michael I. Jordan, Raquel Urtasun |
| 2011 | ICCV | Physically-based motion models for 3D tracking: A convex formulation. | Mathieu Salzmann, Raquel Urtasun |
| 2011 | ICML | Convex Max-Product over Compact Sets for Protein Folding. | Jian Peng, Tamir Hazan, David A. McAllester, Raquel Urtasun |
| 2010 | ACCV | Efficient Large-Scale Stereo Matching. | Andreas Geiger, Martin Roser, Raquel Urtasun |
| 2010 | CVPR | Combining discriminative and generative methods for 3D deformable surface and articulated pose reconstruction. | Mathieu Salzmann, Raquel Urtasun |
| 2010 | CVPR | Sufficient dimension reduction for visual sequence classification. | Alex Shyr, Raquel Urtasun, Michael I. Jordan |
| 2010 | ECCV | Learning to Recognize Objects from Unseen Modalities. | C. Mario Christoudias, Raquel Urtasun, Mathieu Salzmann, Trevor Darrell |
| 2009 | CVPR | Co-training with noisy perceptual observations. | C. Mario Christoudias, Raquel Urtasun, Ashish Kapoor, Trevor Darrell |
| 2009 | CVPR | Rank priors for continuous non-linear dimensionality reduction. | Andreas Geiger, Raquel Urtasun, Trevor Darrell |
| 2009 | ICML | Non-linear matrix factorization with Gaussian processes. | Neil D. Lawrence, Raquel Urtasun |
| 2008 | CVPR | Unsupervised feature selection via distributed coding for multi-view object recognition. | C. Mario Christoudias, Raquel Urtasun, Trevor Darrell |
| 2008 | CVPR | Local deformation models for monocular 3D shape recovery. | Mathieu Salzmann, Raquel Urtasun, Pascal Fua |
| 2008 | CVPR | Sparse probabilistic regression for activity-independent human pose inference. | Raquel Urtasun, Trevor Darrell |
| 2008 | ICML | Topologically-constrained latent variable models. | Raquel Urtasun, David J. Fleet, Andreas Geiger, Jovan Popovic, Trevor Darrell, Neil D. Lawrence |
| 2007 | ICCV | Active Learning with Gaussian Processes for Object Categorization. | Ashish Kapoor, Kristen Grauman, Raquel Urtasun, Trevor Darrell |
| 2007 | ICML | Discriminative Gaussian process latent variable model for classification. | Raquel Urtasun, Trevor Darrell |
| 2006 | CVPR | 3D People Tracking with Gaussian Process Dynamical Models. | Raquel Urtasun, David J. Fleet, Pascal Fua |
| 2005 | CVPR | Monocular 3-D Tracking of the Golf Swing. | Raquel Urtasun, David J. Fleet, Pascal Fua |
| 2005 | CVPR | Monocular 3D Tracking of the Golf Swing. | Raquel Urtasun, David J. Fleet, Pascal Fua |
| 2005 | ICCV | Priors for People Tracking from Small Training Sets. | Raquel Urtasun, David J. Fleet, Aaron Hertzmann, Pascal Fua |
| 2004 | ECCV | Hierarchical Implicit Surface Joint Limits to Constrain Video-Based Motion Capture. | Lorna Herda, Raquel Urtasun, Pascal Fua |
| 2004 | ECCV | 3D Human Body Tracking Using Deterministic Temporal Motion Models. | Raquel Urtasun, Pascal Fua |
| 2001 | ICIP | Segmentation of 3D head MR images using morphological reconstruction under constraints and automatic selection of markers. | Petr Dokldal, Raquel Urtasun, Isabelle Bloch, Line Garnero |