🧑‍🔬 Raquel Urtasun — all works

80 works · ← Raquel Urtasun

1. Aligning Books and Movies: Towards Story-like Visual Explanations by Watching Movies and Reading BooksIEEE International Conference on Computer Vision (ICCV)Yukun Zhu, Ryan Kiros, Richard Zemel, et al.2015 · 3,083 citations
2. Skip-Thought Vectors ↗arXiv (Cornell University) · no summary yetRyan Kiros et al.2015 · 1,267 citations
3. Monocular 3D Object Detection for Autonomous Driving ↗IEEE Computer Society Conference on Computer Vision and Pattern Recognition/Proceedings - IEEE Computer Society Conference on Computer Vision and Pattern Recognition/Proceedings · no summary yetXiaozhi Chen et al.2016 · 1,043 citations
4. MovieQA: Understanding Stories in Movies through Question-Answering ↗IEEE Computer Society Conference on Computer Vision and Pattern Recognition/Proceedings - IEEE Computer Society Conference on Computer Vision and Pattern Recognition/Proceedings · no summary yetMakarand Tapaswi et al.2016 · 778 citations
5. Understanding the Effective Receptive Field in Deep Convolutional Neural Networks ↗arXiv (Cornell University) · no summary yetWenjie Luo et al.2017 · 771 citations
6. Efficient Deep Learning for Stereo Matching ↗IEEE Computer Society Conference on Computer Vision and Pattern Recognition/Proceedings - IEEE Computer Society Conference on Computer Vision and Pattern Recognition/Proceedings · no summary yetWenjie Luo, Alexander Gerhard Schwing, Raquel Urtasun2016 · 765 citations
7. Multi-Task Multi-Sensor Fusion for 3D Object Detection ↗IEEE Computer Society Conference on Computer Vision and Pattern Recognition/Proceedings - IEEE Computer Society Conference on Computer Vision and Pattern Recognition/Proceedings · no summary yetMing Xuan Liang et al.2019 · 734 citations
8. Deep Watershed Transform for Instance Segmentation ↗IEEE Computer Society Conference on Computer Vision and Pattern Recognition/Proceedings - IEEE Computer Society Conference on Computer Vision and Pattern Recognition/Proceedings · no summary yetMin Bai, Raquel Urtasun2017 · 554 citations
9. UPSNet: A Unified Panoptic Segmentation Network ↗IEEE Computer Society Conference on Computer Vision and Pattern Recognition/Proceedings - IEEE Computer Society Conference on Computer Vision and Pattern Recognition/Proceedings · no summary yetYuwen Xiong et al.2019 · 417 citations
10. End-To-End Interpretable Neural Motion Planner ↗IEEE Computer Society Conference on Computer Vision and Pattern Recognition/Proceedings - IEEE Computer Society Conference on Computer Vision and Pattern Recognition/Proceedings · no summary yetWenyuan Zeng et al.2019 · 405 citations
11. Annotating Object Instances with a Polygon-RNN ↗IEEE Computer Society Conference on Computer Vision and Pattern Recognition/Proceedings - IEEE Computer Society Conference on Computer Vision and Pattern Recognition/Proceedings · no summary yetLluís Castrejón et al.2017 · 365 citations
12. Active Learning with Gaussian Processes for Object Categorization ↗IEEE International Conference on Computer Vision (ICCV) · no summary yetAshish Kapoor et al.2007 · 332 citations
13. DeepPruner: Learning Efficient Stereo Matching via Differentiable PatchMatch ↗IEEE/CVF International Conference on Computer Vision (ICCV) · no summary yetShivam Duggal et al.2019 · 330 citations
14. What Are You Talking About? Text-to-Image Coreference ↗IEEE Computer Society Conference on Computer Vision and Pattern Recognition/Proceedings - IEEE Computer Society Conference on Computer Vision and Pattern Recognition/Proceedings · no summary yetChen Kong et al.2014 · 227 citations
15. Non-linear matrix factorization with Gaussian processes ↗International Conference on Machine Learning · no summary yetNeil David Lawrence, Raquel Urtasun2009 · 217 citations
16. Instance-Level Segmentation for Autonomous Driving with Deep Densely Connected MRFs ↗IEEE Computer Society Conference on Computer Vision and Pattern Recognition/Proceedings - IEEE Computer Society Conference on Computer Vision and Pattern Recognition/Proceedings · no summary yetZiyu Zhang, Sanja Fidler, Raquel Urtasun2016 · 215 citations
17. Neuroaesthetics in fashion: Modeling the perception of fashionability ↗IEEE Computer Society Conference on Computer Vision and Pattern Recognition/Proceedings - IEEE Computer Society Conference on Computer Vision and Pattern Recognition/Proceedings · no summary yetEdgar Simo‐Serra et al.2015 · 208 citations
18. Sparse probabilistic regression for activity-independent human pose inference ↗IEEE Computer Society Conference on Computer Vision and Pattern Recognition/Proceedings - IEEE Computer Society Conference on Computer Vision and Pattern Recognition/Proceedings · no summary yetRaquel Urtasun, Trevor Jackson Darrell2008 · 206 citations
19. Learning to segment under various forms of weak supervision ↗IEEE Computer Society Conference on Computer Vision and Pattern Recognition/Proceedings - IEEE Computer Society Conference on Computer Vision and Pattern Recognition/Proceedings · no summary yetJia Wei Xu, Alexander Gerhard Schwing, Raquel Urtasun2015 · 184 citations
20. Gaussian Processes for Object Categorization ↗International Journal of Computer Vision · no summary yetAshish Kapoor et al.2009 · 179 citations
21. Learning Joint 2D-3D Representations for Depth Completion ↗IEEE/CVF International Conference on Computer Vision (ICCV) · no summary yetYun Chen et al.2019 · 178 citations
22. Order-Embeddings of Images and LanguagearXiv:1511.06361Ivan Vendrov, Ryan Kiros, Sanja Fidler, et al.2015 · 177 citations
23. Efficient Graph Generation with Graph Recurrent Attention Networks ↗arXiv (Cornell University) · no summary yetRenjie Liao et al.2019 · 170 citations
24. LanczosNet: Multi-Scale Deep Graph Convolutional Networks ↗arXiv (Cornell University) · no summary yetRenjie Liao et al.2019 · 164 citations
25. Lost! Leveraging the Crowd for Probabilistic Visual Self-Localization ↗IEEE Computer Society Conference on Computer Vision and Pattern Recognition/Proceedings - IEEE Computer Society Conference on Computer Vision and Pattern Recognition/Proceedings · no summary yetMarcus A. Brubaker, Andreas Geiger, Raquel Urtasun2013 · 147 citations
26. Real-time coarse-to-fine topologically preserving segmentation ↗IEEE Computer Society Conference on Computer Vision and Pattern Recognition/Proceedings - IEEE Computer Society Conference on Computer Vision and Pattern Recognition/Proceedings · no summary yetJian Yao et al.2015 · 142 citations
27. HD Maps: Fine-Grained Road Segmentation by Parsing Ground and Aerial Images ↗IEEE Computer Society Conference on Computer Vision and Pattern Recognition/Proceedings - IEEE Computer Society Conference on Computer Vision and Pattern Recognition/Proceedings · no summary yetGellért Máttyus et al.2016 · 139 citations
28. Sports Field Localization via Deep Structured Models ↗IEEE Computer Society Conference on Computer Vision and Pattern Recognition/Proceedings - IEEE Computer Society Conference on Computer Vision and Pattern Recognition/Proceedings · no summary yetNamdar Homayounfar, Sanja Fidler, Raquel Urtasun2017 · 133 citations
29. Robust Monocular Epipolar Flow Estimation ↗IEEE Computer Society Conference on Computer Vision and Pattern Recognition/Proceedings - IEEE Computer Society Conference on Computer Vision and Pattern Recognition/Proceedings · no summary yetKoichiro Yamaguchi, David McAllester, Raquel Urtasun2013 · 133 citations
30. segDeepM: Exploiting segmentation and context in deep neural networks for object detection ↗IEEE Computer Society Conference on Computer Vision and Pattern Recognition/Proceedings - IEEE Computer Society Conference on Computer Vision and Pattern Recognition/Proceedings · no summary yetYukun Zhu et al.2015 · 129 citations
31. Bottom-Up Segmentation for Top-Down Detection ↗IEEE Computer Society Conference on Computer Vision and Pattern Recognition/Proceedings - IEEE Computer Society Conference on Computer Vision and Pattern Recognition/Proceedings · no summary yetSanja Fidler et al.2013 · 129 citations
32. Deep Rigid Instance Scene Flow ↗arXiv:1904.08913 · no summary yetWei-Chiu Ma et al.2019 · 125 citations
33. Discriminative Gaussian process latent variable model for classification ↗International Conference on Machine Learning · no summary yetRaquel Urtasun, Trevor Jackson Darrell2007 · 123 citations
34. Topologically-constrained latent variable models ↗International Conference on Machine Learning · no summary yetRaquel Urtasun et al.2008 · 122 citations
35. Map-Based Probabilistic Visual Self-Localization ↗IEEE Transactions on Pattern Analysis and Machine Intelligence · no summary yetMarcus A. Brubaker, Andreas Geiger, Raquel Urtasun2015 · 119 citations
36. DAGMapper: Learning to Map by Discovering Lane Topology ↗IEEE/CVF International Conference on Computer Vision (ICCV) · no summary yetNamdar Homayounfar et al.2019 · 110 citations
37. Rent3D: Floor-plan priors for monocular layout estimation ↗IEEE Computer Society Conference on Computer Vision and Pattern Recognition/Proceedings - IEEE Computer Society Conference on Computer Vision and Pattern Recognition/Proceedings · no summary yetChenxi Liu et al.2015 · 105 citations
38. Deep Spectral Clustering Learning. ↗International Conference on Machine Learning · no summary yetMarc T. Law, Raquel Urtasun, Richard S. Zemel2017 · 100 citations
39. Multi-View Learning in the Presence of View Disagreement ↗arXiv (Cornell University) · no summary yetC. Mario Christoudias, Raquel Urtasun, Trevor Jackson Darrell2012 · 93 citations
40. Factorized Orthogonal Latent Spaces ↗no summary yetMathieu Salzmann et al.2010 · 89 citations
41. Learning Deep Parsimonious Representations ↗neural information processing systems · no summary yetRenjie Liao et al.2016 · 83 citations
42. Inference in Probabilistic Graphical Models by Graph Neural Networks ↗2018 52nd Asilomar Conference on Signals, Systems, and Computers · no summary yetKijung Yoon et al.2018 · 82 citations
43. Few-Shot Learning Through an Information Retrieval Lens ↗arXiv (Cornell University) · no summary yetEleni Triantafillou, Richard S. Zemel, Raquel Urtasun2017 · 81 citations
44. Holistic 3D scene understanding from a single geo-tagged image ↗IEEE Computer Society Conference on Computer Vision and Pattern Recognition/Proceedings - IEEE Computer Society Conference on Computer Vision and Pattern Recognition/Proceedings · no summary yetShenlong Wang, Sanja Fidler, Raquel Urtasun2015 · 76 citations
45. Normalizing the Normalizers: Comparing and Extending Network Normalization Schemes ↗arXiv (Cornell University) · no summary yetMengye Ren et al.2016 · 71 citations
46. Training Deep Neural Networks via Direct Loss Minimization ↗arXiv (Cornell University) · no summary yetYang Song et al.2015 · 69 citations
47. Proximal Deep Structured Models ↗neural information processing systems · no summary yetShenlong Wang, Sanja Fidler, Raquel Urtasun2016 · 65 citations
48. Graph Partition Neural Networks for Semi-Supervised Classification ↗arXiv (Cornell University) · no summary yetRenjie Liao et al.2018 · 55 citations
49. Learning Compact Representations for LiDAR Completion and Generation ↗IEEE Computer Society Conference on Computer Vision and Pattern Recognition/Proceedings - IEEE Computer Society Conference on Computer Vision and Pattern Recognition/Proceedings · no summary yetYuwen Xiong et al.2023 · 51 citations
50. Unsupervised feature selection via distributed coding for multi-view object recognition ↗IEEE Computer Society Conference on Computer Vision and Pattern Recognition/Proceedings - IEEE Computer Society Conference on Computer Vision and Pattern Recognition/Proceedings · no summary yetC. Mario Christoudias, Raquel Urtasun, Trevor Jackson Darrell2008 · 47 citations
51. Analyzing Semantic Segmentation Using Hybrid Human-Machine CRFs ↗IEEE Computer Society Conference on Computer Vision and Pattern Recognition/Proceedings - IEEE Computer Society Conference on Computer Vision and Pattern Recognition/Proceedings · no summary yetRoozbeh Mottaghi et al.2013 · 35 citations
52. Co-training with noisy perceptual observations ↗IEEE Computer Society Conference on Computer Vision and Pattern Recognition/Proceedings - IEEE Computer Society Conference on Computer Vision and Pattern Recognition/Proceedings · no summary yetC. Mario Christoudias et al.2009 · 35 citations
53. Reviving and Improving Recurrent Back-Propagation ↗arXiv (Cornell University) · no summary yetRenjie Liao et al.2018 · 33 citations
54. Bayesian Localized Multiple Kernel Learning ↗UC Berkeley · no summary yetC. Mario Christoudias, Raquel Urtasun, Trevor Jackson Darrell2009 · 32 citations
55. Human-Machine CRFs for Identifying Bottlenecks in Scene Understanding ↗IEEE Transactions on Pattern Analysis and Machine Intelligence · no summary yetRoozbeh Mottaghi et al.2015 · 24 citations
56. Learning to Recognize Objects from Unseen Modalities ↗Lecture notes in computer science · no summary yetC. Mario Christoudias et al.2010 · 23 citations
57. Joint Embeddings of Scene Graphs and Images ↗Lirias · no summary yetEugene Belilovsky et al.2017 · 19 citations
58. Neural Guided Constraint Logic Programming for Program Synthesis ↗arXiv (Cornell University) · no summary yetLisa Zhang et al.2018 · 17 citations
59. Efficient Multiple Instance Metric Learning Using Weakly Supervised Data ↗IEEE Computer Society Conference on Computer Vision and Pattern Recognition/Proceedings - IEEE Computer Society Conference on Computer Vision and Pattern Recognition/Proceedings · no summary yetMarc T. Law et al.2017 · 14 citations
60. Towards Generalizable Sentence Embeddings ↗Proceedings of the 1st Workshop on Representation Learning for NLP · no summary yetEleni Triantafillou et al.2016 · 14 citations
61. Supervised hierarchical Pitman-Yor process for natural scene segmentation ↗no summary yetAlex Shyr et al.2011 · 12 citations
62. A PAC-Bayesian Approach to Generalization Bounds for Graph Neural Networks ↗arXiv (Cornell University) · no summary yetRenjie Liao, Raquel Urtasun, Richard S. Zemel2020 · 11 citations
63. Dimensionality Reduction for Representing the Knowledge of Probabilistic Models ↗International Conference on Learning Representations · no summary yetMarc T. Law et al.2018 · 9 citations
64. Artificial Intelligence and Statistics Conference ↗no summary yetMathieu Salzmann et al.2010 · 9 citations
65. Leveraging Constraint Logic Programming for Neural Guided Program Synthesis. ↗International Conference on Learning Representations · no summary yetLisa Zhang et al.2018 · 6 citations
66. Probabilistic Kernel Combination for Hierarchical Object Categorization ↗no summary yetAshish Kapoor, Raquel Urtasun, Trevor Jackson Darrell2009 · 4 citations
67. Human-Machine CRFs for Identifying Bottlenecks in Holistic Scene Understanding ↗arXiv (Cornell University) · no summary yetRoozbeh Mottaghi et al.2014 · 1 citation
68. FOLS : Factorized Orthogonal Latent Spaces ↗no summary yetMathieu Salzmann et al.2010 · 1 citation
69. NP-DRAW: A Non-Parametric Structured Latent Variable Model for Image Generation ↗arXiv (Cornell University) · no summary yetXiaohui Zeng et al.2021
70. 1Human-Machine CRFs for Identifying Bottlenecks in Holistic Scene Understanding ↗no summary yetRoozbeh Mottaghi et al.2016
71. Sparse Probabilistic Regression for Activity-independent Human ↗no summary yetRaquel Urtasun, Trevor Jackson Darrell2013
72. T.: Transfering nonlinear representations using gaussian processes with a shared latent space ↗no summary yetRaquel Urtasun et al.2013
73. T.: Co-training with noisy perceptual observations ↗no summary yetC. Mario Christoudias et al.2012
74. permission. Bayesian Localized Multiple Kernel Learning ↗no summary yetC. Mario Christoudias et al.2010
75. T.: Multi-view learning in the presence of view disagreement ↗no summary yetC. Mario Christoudias, Raquel Urtasun, Trevor Jackson Darrell2008
76. Human Body Tracking with Rank Priors for Continuous Non-Linear Dimensionality Reduction Diploma Thesis ↗no summary yetProf Dr et al.2008
77. Gaussian Processes with a Shared Latent Space ↗no summary yetRaquel Urtasun et al.2008
78. Local probabilistic regression for activityindependent human pose inference ↗no summary yetRaquel Urtasun, Trevor Jackson Darrell2008
79. T.: Sparse probabilistic regression for activity-independent human pose inference ↗no summary yetRaquel Urtasun, Trevor Jackson Darrell2008
80. Discriminative Gaussian Process Latent Variable Models for Classification ↗no summary yetRaquel Urtasun, Trevor Jackson Darrell2007

↑ back to top

This page in Markdown → https://md.research.elamur.ai/free/en/authors/raquel-urtasun/works/