Urtasun, Raquel

Are we ready for autonomous driving? The KITTI vision benchmark suite

Geiger, A., Lenz, P., & Urtasun, R. (2012) · 2012 IEEE Conference on Computer Vision and Pattern Recognition

Advanced Vision and ImagingAutonomous Vehicle Technology and Safety

Cited by 14,897

Vision meets robotics: The KITTI dataset

Geiger, A., Lenz, P., Stiller, C., & Urtasun, R. (2013) · The International Journal of Robotics Research

Autonomous Vehicle Technology and SafetyAdvanced Vision and Imaging

Cited by 9,913

Aligning Books and Movies: Towards Story-Like Visual Explanations by Watching Movies and Reading Books

Zhu, Y., Kiros, R., Zemel, R., Salakhutdinov, R., Urtasun, R., Torralba, A., & Fidler, S. (2015) · 2015 IEEE International Conference on Computer Vision (ICCV)

Multimodal Machine Learning ApplicationsTopic Modeling

Cited by 2,264

Aligning Books and Movies: Towards Story-like Visual Explanations by Watching Movies and Reading Books

Zhu, Y., Kiros, R., Zemel, R., Salakhutdinov, R., Urtasun, R., Torralba, A., & Fidler, S. (2015) · arXiv

Multimodal Machine Learning ApplicationsTopic Modeling

Cited by 2,264

Understanding the Effective Receptive Field in Deep Convolutional Neural Networks

Luo, W., Li, Y., Urtasun, R., & Zemel, R. (2017) · arXiv

Advanced Neural Network ApplicationsVisual Attention and Saliency Detection

Cited by 1,575

The Role of Context for Object Detection and Semantic Segmentation in the Wild

Mottaghi, R., Chen, X., Liu, X., Cho, N.-G., Lee, S.-W., Fidler, S., Urtasun, R., & Yuille, A. (2014) · 2014 IEEE Conference on Computer Vision and Pattern Recognition

Advanced Neural Network ApplicationsAdvanced Image and Video Retrieval Techniques

Cited by 1,438

Skip-Thought Vectors

Kiros, R., Zhu, Y., Salakhutdinov, R., Zemel, R. S., Torralba, A., Urtasun, R., & Fidler, S. (2015) · arXiv

Topic ModelingSentiment Analysis and Opinion Mining

Cited by 1,293

PIXOR: Real-time 3D Object Detection from Point Clouds

Yang, B., Luo, W., & Urtasun, R. (2018) · 2018 IEEE/CVF Conference on Computer Vision and Pattern Recognition

Advanced Neural Network ApplicationsAutonomous Vehicle Technology and Safety

Cited by 1,249

Monocular 3D Object Detection for Autonomous Driving

Chen, X., Kundu, K., Zhang, Z., Ma, H., Fidler, S., & Urtasun, R. (2016) · 2016 IEEE Conference on Computer Vision and Pattern Recognition (CVPR)

Advanced Neural Network ApplicationsAutonomous Vehicle Technology and Safety

Cited by 1,019

Multi-Task Multi-Sensor Fusion for 3D Object Detection

Liang, M., Yang, B., Chen, Y., Hu, R., & Urtasun, R. (2019) · 2019 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)

Advanced Neural Network ApplicationsAutonomous Vehicle Technology and Safety

Cited by 723

MultiNet: Real-time Joint Semantic Reasoning for Autonomous Driving

Teichmann, M., Weber, M., Zollner, M., Cipolla, R., & Urtasun, R. (2018) · 2018 IEEE Intelligent Vehicles Symposium (IV)

Advanced Neural Network ApplicationsAutonomous Vehicle Technology and Safety

Cited by 681

Fast and Furious: Real Time End-to-End 3D Detection, Tracking and Motion Forecasting with a Single Convolutional Net

Luo, W., Yang, B., & Urtasun, R. (2018) · 2018 IEEE/CVF Conference on Computer Vision and Pattern Recognition

Autonomous Vehicle Technology and SafetyAdvanced Neural Network Applications

Cited by 644

Detect What You Can: Detecting and Representing Objects Using Holistic Models and Body Parts

Chen, X., Mottaghi, R., Liu, X., Fidler, S., Urtasun, R., & Yuille, A. (2014) · 2014 IEEE Conference on Computer Vision and Pattern Recognition

Advanced Neural Network ApplicationsAdvanced Image and Video Retrieval Techniques

Cited by 605

3D Graph Neural Networks for RGBD Semantic Segmentation

Qi, X., Liao, R., Jia, J., Fidler, S., & Urtasun, R. (2017) · 2017 IEEE International Conference on Computer Vision (ICCV)

3D Shape Modeling and AnalysisAdvanced Neural Network Applications

Cited by 482

End-to-end Interpretable Neural Motion Planner

Zeng, W., Luo, W., Suo, S., Sadat, A., Yang, B., Casas, S., & Urtasun, R. (2021) · arXiv

Autonomous Vehicle Technology and SafetyRobotic Path Planning Algorithms

Cited by 406

Order-Embeddings of Images and Language

Vendrov, I., Kiros, R., Fidler, S., & Urtasun, R. (2015) · arXiv

Multimodal Machine Learning ApplicationsTopic Modeling

Cited by 296

Holistic Scene Understanding for 3D Object Detection with RGBD Cameras

Lin, D., Fidler, S., & Urtasun, R. (2013) · 2013 IEEE International Conference on Computer Vision

Advanced Neural Network ApplicationsAdvanced Image and Video Retrieval Techniques

Cited by 253

MP3: A Unified Model to Map, Perceive, Predict and Plan

Casas, S., Sadat, A., & Urtasun, R. (2021) · 2021 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)

Autonomous Vehicle Technology and SafetyRobotics and Sensor-Based Localization

Cited by 228

SBNet: Sparse Blocks Network for Fast Inference

Ren, M., Pokrovsky, A., Yang, B., & Urtasun, R. (2018) · 2018 IEEE/CVF Conference on Computer Vision and Pattern Recognition

Advanced Neural Network ApplicationsVisual Attention and Saliency Detection

Cited by 198

TorontoCity: Seeing the World with a Million Eyes

Wang, S., Bai, M., Mattyus, G., Chu, H., Luo, W., Yang, B., Liang, J., Cheverie, J., Fidler, S., & Urtasun, R. (2017) · 2017 IEEE International Conference on Computer Vision (ICCV)

Automated Road and Building ExtractionAdvanced Neural Network Applications

Cited by 186

Perceive, Predict, and Plan: Safe Motion Planning Through Interpretable Semantic Representations

Sadat, A., Casas, S., Ren, M., Wu, X., Dhawan, P., & Urtasun, R. (2020) · Lecture Notes in Computer Science

Autonomous Vehicle Technology and SafetyRobotic Path Planning Algorithms

Cited by 183

UniSim: A Neural Closed-Loop Sensor Simulator

Yang, Z., Chen, Y., Wang, J., Manivasagam, S., Ma, W.-C., Yang, A. J., & Urtasun, R. (2023) · 2023 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)

Autonomous Vehicle Technology and SafetyAdvanced Vision and Imaging

Cited by 170

Topologically-constrained latent variable models

Urtasun, R., Fleet, D. J., Geiger, A., Popović, J., Darrell, T. J., & Lawrence, N. D. (2008) · Proceedings of the 25th international conference on Machine learning - ICML '08

Gaussian Processes and Bayesian InferenceHuman Motion and Animation

Cited by 125

Exploiting deep matching and sar data for the geo-localization accuracy improvement of optical satellite images

Merkle, N., Luo, W., Auer, S., Müller, R., & Urtasun, R. (2017) · Remote Sensing

Satellite Image Processing and PhotogrammetryAdvanced Image and Video Retrieval Techniques

Cited by 120