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Semantic ScholarRaquel Urtasun
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- affiliation: Swiss Federal Institute of Technology in Lausanne, Switzerland
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2010 – today
- 2017
[j12]Nina Merkle, Wenjie Luo, Stefan Auer, Rupert Müller, Raquel Urtasun:
Exploiting Deep Matching and SAR Data for the Geo-Localization Accuracy Improvement of Optical Satellite Images. Remote Sensing 9(6): 586 (2017)- [c101]Marc Tevq Law, Raquel Urtasun, Richard S. Zemel:
Deep Spectral Clustering Learning. ICML 2017: 1985-1994 - [c100]Wei-Chiu Ma, Shenlong Wang, Marcus A. Brubaker, Sanja Fidler, Raquel Urtasun:
Find your way by observing the sun and other semantic cues. ICRA 2017: 6292-6299 - [i35]Wenjie Luo, Yujia Li, Raquel Urtasun, Richard S. Zemel:
Understanding the Effective Receptive Field in Deep Convolutional Neural Networks. CoRR abs/1701.04128 (2017) - [i34]Bo Dai, Dahua Lin, Raquel Urtasun, Sanja Fidler:
Towards Diverse and Natural Image Descriptions via a Conditional GAN. CoRR abs/1703.06029 (2017) - [i33]Lluis Castrejon, Kaustav Kundu, Raquel Urtasun, Sanja Fidler:
Annotating Object Instances with a Polygon-RNN. CoRR abs/1704.05548 (2017) - [i32]Eleni Triantafillou, Richard S. Zemel, Raquel Urtasun:
Few-Shot Learning Through an Information Retrieval Lens. CoRR abs/1707.02610 (2017) - [i31]Aidan N. Gomez, Mengye Ren, Raquel Urtasun, Roger B. Grosse:
The Reversible Residual Network: Backpropagation Without Storing Activations. CoRR abs/1707.04585 (2017) - [i30]Ruiyu Li, Makarand Tapaswi, Renjie Liao, Jiaya Jia, Raquel Urtasun, Sanja Fidler:
Situation Recognition with Graph Neural Networks. CoRR abs/1708.04320 (2017) - 2016
- [j11]Tamir Hazan, Alexander G. Schwing, Raquel Urtasun:
Blending Learning and Inference in Conditional Random Fields. Journal of Machine Learning Research 17: 237:1-237:25 (2016) - [j10]Roozbeh Mottaghi, Sanja Fidler, Alan L. Yuille, Raquel Urtasun, Devi Parikh:
Human-Machine CRFs for Identifying Bottlenecks in Scene Understanding. IEEE Trans. Pattern Anal. Mach. Intell. 38(1): 74-87 (2016) - [j9]Marcus A. Brubaker, Andreas Geiger, Raquel Urtasun:
Map-Based Probabilistic Visual Self-Localization. IEEE Trans. Pattern Anal. Mach. Intell. 38(4): 652-665 (2016) - [c99]Yali Wang, Marcus A. Brubaker, Brahim Chaib-draa, Raquel Urtasun:
Sequential Inference for Deep Gaussian Process. AISTATS 2016: 694-703 - [c98]
- [c97]Ziyu Zhang, Sanja Fidler, Raquel Urtasun:
Instance-Level Segmentation for Autonomous Driving with Deep Densely Connected MRFs. CVPR 2016: 669-677 - [c96]Xiaozhi Chen, Kaustav Kundu, Ziyu Zhang, Huimin Ma, Sanja Fidler, Raquel Urtasun:
Monocular 3D Object Detection for Autonomous Driving. CVPR 2016: 2147-2156 - [c95]Gellért Máttyus, Shenlong Wang, Sanja Fidler, Raquel Urtasun:
HD Maps: Fine-Grained Road Segmentation by Parsing Ground and Aerial Images. CVPR 2016: 3611-3619 - [c94]Makarand Tapaswi, Yukun Zhu, Rainer Stiefelhagen, Antonio Torralba, Raquel Urtasun, Sanja Fidler:
MovieQA: Understanding Stories in Movies through Question-Answering. CVPR 2016: 4631-4640 - [c93]Wenjie Luo, Alexander G. Schwing, Raquel Urtasun:
Efficient Deep Learning for Stereo Matching. CVPR 2016: 5695-5703 - [c92]Min Bai, Wenjie Luo, Kaustav Kundu, Raquel Urtasun:
Exploiting Semantic Information and Deep Matching for Optical Flow. ECCV (6) 2016: 154-170 - [c91]Hang Chu, Shenlong Wang, Raquel Urtasun, Sanja Fidler:
HouseCraft: Building Houses from Rental Ads and Street Views. ECCV (6) 2016: 500-516 - [c90]Yang Song, Alexander G. Schwing, Richard S. Zemel, Raquel Urtasun:
Training Deep Neural Networks via Direct Loss Minimization. ICML 2016: 2169-2177 - [c89]
- [c88]Wenjie Luo, Yujia Li, Raquel Urtasun, Richard S. Zemel:
Understanding the Effective Receptive Field in Deep Convolutional Neural Networks. NIPS 2016: 4898-4906 - [c87]Renjie Liao, Alexander G. Schwing, Richard S. Zemel, Raquel Urtasun:
Learning Deep Parsimonious Representations. NIPS 2016: 5076-5084 - [i29]Min Bai, Wenjie Luo, Kaustav Kundu, Raquel Urtasun:
Deep Semantic Matching for Optical Flow. CoRR abs/1604.01827 (2016) - [i28]Namdar Homayounfar, Sanja Fidler, Raquel Urtasun:
Soccer Field Localization from a Single Image. CoRR abs/1604.02715 (2016) - [i27]Wei-Chiu Ma, Shenlong Wang, Marcus A. Brubaker, Sanja Fidler, Raquel Urtasun:
Find your Way by Observing the Sun and Other Semantic Cues. CoRR abs/1606.07415 (2016) - [i26]Xiaozhi Chen, Kaustav Kundu, Yukun Zhu, Huimin Ma, Sanja Fidler, Raquel Urtasun:
3D Object Proposals using Stereo Imagery for Accurate Object Class Detection. CoRR abs/1608.07711 (2016) - [i25]Wenyuan Zeng, Wenjie Luo, Sanja Fidler, Raquel Urtasun:
Efficient Summarization with Read-Again and Copy Mechanism. CoRR abs/1611.03382 (2016) - [i24]Hang Chu, Raquel Urtasun, Sanja Fidler:
Song From PI: A Musically Plausible Network for Pop Music Generation. CoRR abs/1611.03477 (2016) - [i23]Mengye Ren, Renjie Liao, Raquel Urtasun, Fabian H. Sinz, Richard S. Zemel:
Normalizing the Normalizers: Comparing and Extending Network Normalization Schemes. CoRR abs/1611.04520 (2016) - [i22]Min Bai, Raquel Urtasun:
Deep Watershed Transform for Instance Segmentation. CoRR abs/1611.08303 (2016) - [i21]Shenlong Wang, Min Bai, Gellért Máttyus, Hang Chu, Wenjie Luo, Bin Yang, Justin Liang, Joel Cheverie, Sanja Fidler, Raquel Urtasun:
TorontoCity: Seeing the World with a Million Eyes. CoRR abs/1612.00423 (2016) - [i20]Marvin Teichmann, Michael Weber, J. Marius Zöllner, Roberto Cipolla, Raquel Urtasun:
MultiNet: Real-time Joint Semantic Reasoning for Autonomous Driving. CoRR abs/1612.07695 (2016) - 2015
- [c86]Dahua Lin, Sanja Fidler, Chen Kong, Raquel Urtasun:
Generating Multi-sentence Natural Language Descriptions of Indoor Scenes. BMVC 2015: 93.1-93.13 - [c85]Edgar Simo-Serra, Sanja Fidler, Francesc Moreno-Noguer, Raquel Urtasun:
Neuroaesthetics in fashion: Modeling the perception of fashionability. CVPR 2015: 869-877 - [c84]Jian Yao, Marko Boben, Sanja Fidler, Raquel Urtasun:
Real-time coarse-to-fine topologically preserving segmentation. CVPR 2015: 2947-2955 - [c83]Chenxi Liu, Alexander G. Schwing, Kaustav Kundu, Raquel Urtasun, Sanja Fidler:
Rent3D: Floor-plan priors for monocular layout estimation. CVPR 2015: 3413-3421 - [c82]Jia Xu, Alexander G. Schwing, Raquel Urtasun:
Learning to segment under various forms of weak supervision. CVPR 2015: 3781-3790 - [c81]Shenlong Wang, Sanja Fidler, Raquel Urtasun:
Holistic 3D scene understanding from a single geo-tagged image. CVPR 2015: 3964-3972 - [c80]Yukun Zhu, Raquel Urtasun, Ruslan Salakhutdinov, Sanja Fidler:
segDeepM: Exploiting segmentation and context in deep neural networks for object detection. CVPR 2015: 4703-4711 - [c79]Yukun Zhu, Ryan Kiros, Richard S. Zemel, Ruslan Salakhutdinov, Raquel Urtasun, Antonio Torralba, Sanja Fidler:
Aligning Books and Movies: Towards Story-Like Visual Explanations by Watching Movies and Reading Books. ICCV 2015: 19-27 - [c78]Gellért Máttyus, Shenlong Wang, Sanja Fidler, Raquel Urtasun:
Enhancing Road Maps by Parsing Aerial Images Around the World. ICCV 2015: 1689-1697 - [c77]Ziyu Zhang, Alexander G. Schwing, Sanja Fidler, Raquel Urtasun:
Monocular Object Instance Segmentation and Depth Ordering with CNNs. ICCV 2015: 2614-2622 - [c76]Shenlong Wang, Sanja Fidler, Raquel Urtasun:
Lost Shopping! Monocular Localization in Large Indoor Spaces. ICCV 2015: 2695-2703 - [c75]Philip Lenz, Andreas Geiger, Raquel Urtasun:
FollowMe: Efficient Online Min-Cost Flow Tracking with Bounded Memory and Computation. ICCV 2015: 4364-4372 - [c74]Liang-Chieh Chen, Alexander G. Schwing, Alan L. Yuille, Raquel Urtasun:
Learning Deep Structured Models. ICML 2015: 1785-1794 - [c73]Xiaozhi Chen, Kaustav Kundu, Yukun Zhu, Andrew G. Berneshawi, Huimin Ma, Sanja Fidler, Raquel Urtasun:
3D Object Proposals for Accurate Object Class Detection. NIPS 2015: 424-432 - [c72]Ryan Kiros, Yukun Zhu, Ruslan Salakhutdinov, Richard S. Zemel, Raquel Urtasun, Antonio Torralba, Sanja Fidler:
Skip-Thought Vectors. NIPS 2015: 3294-3302 - [c71]Jian Yao, Srikumar Ramalingam, Yuichi Taguchi, Yohei Miki, Raquel Urtasun:
Estimating Drivable Collision-Free Space from Monocular Video. WACV 2015: 420-427 - [i19]Yukun Zhu, Raquel Urtasun, Ruslan Salakhutdinov, Sanja Fidler:
segDeepM: Exploiting Segmentation and Context in Deep Neural Networks for Object Detection. CoRR abs/1502.04275 (2015) - [i18]Dahua Lin, Chen Kong, Sanja Fidler, Raquel Urtasun:
Generating Multi-Sentence Lingual Descriptions of Indoor Scenes. CoRR abs/1503.00064 (2015) - [i17]Alexander G. Schwing, Raquel Urtasun:
Fully Connected Deep Structured Networks. CoRR abs/1503.02351 (2015) - [i16]Ziyu Zhang, Alexander G. Schwing, Sanja Fidler, Raquel Urtasun:
Monocular Object Instance Segmentation and Depth Ordering with CNNs. CoRR abs/1505.03159 (2015) - [i15]Yukun Zhu, Ryan Kiros, Richard S. Zemel, Ruslan Salakhutdinov, Raquel Urtasun, Antonio Torralba, Sanja Fidler:
Aligning Books and Movies: Towards Story-like Visual Explanations by Watching Movies and Reading Books. CoRR abs/1506.06724 (2015) - [i14]Ryan Kiros, Yukun Zhu, Ruslan Salakhutdinov, Richard S. Zemel, Antonio Torralba, Raquel Urtasun, Sanja Fidler:
Skip-Thought Vectors. CoRR abs/1506.06726 (2015) - [i13]Patrick Judd, Jorge Albericio, Tayler H. Hetherington, Tor M. Aamodt, Natalie D. Enright Jerger, Raquel Urtasun, Andreas Moshovos:
Reduced-Precision Strategies for Bounded Memory in Deep Neural Nets. CoRR abs/1511.05236 (2015) - [i12]Ivan Vendrov, Ryan Kiros, Sanja Fidler, Raquel Urtasun:
Order-Embeddings of Images and Language. CoRR abs/1511.06361 (2015) - [i11]Yang Song, Alexander G. Schwing, Richard S. Zemel, Raquel Urtasun:
Direct Loss Minimization for Training Deep Neural Nets. CoRR abs/1511.06411 (2015) - [i10]Makarand Tapaswi, Yukun Zhu, Rainer Stiefelhagen, Antonio Torralba, Raquel Urtasun, Sanja Fidler:
MovieQA: Understanding Stories in Movies through Question-Answering. CoRR abs/1512.02902 (2015) - [i9]Ziyu Zhang, Sanja Fidler, Raquel Urtasun:
Instance-Level Segmentation with Deep Densely Connected MRFs. CoRR abs/1512.06735 (2015) - 2014
- [j8]Andreas Geiger, Martin Lauer, Christian Wojek, Christoph Stiller, Raquel Urtasun:
3D Traffic Scene Understanding From Movable Platforms. IEEE Trans. Pattern Anal. Mach. Intell. 36(5): 1012-1025 (2014) - [c70]Edgar Simo-Serra, Sanja Fidler, Francesc Moreno-Noguer, Raquel Urtasun:
A High Performance CRF Model for Clothes Parsing. ACCV (3) 2014: 64-81 - [c69]Roozbeh Mottaghi, Xianjie Chen, Xiaobai Liu, Nam-Gyu Cho, Seong-Whan Lee, Sanja Fidler, Raquel Urtasun, Alan L. Yuille:
The Role of Context for Object Detection and Semantic Segmentation in the Wild. CVPR 2014: 891-898 - [c68]Xianjie Chen, Roozbeh Mottaghi, Xiaobai Liu, Sanja Fidler, Raquel Urtasun, Alan L. Yuille:
Detect What You Can: Detecting and Representing Objects Using Holistic Models and Body Parts. CVPR 2014: 1979-1986 - [c67]Dahua Lin, Sanja Fidler, Chen Kong, Raquel Urtasun:
Visual Semantic Search: Retrieving Videos via Complex Textual Queries. CVPR 2014: 2657-2664 - [c66]Jia Xu, Alexander G. Schwing, Raquel Urtasun:
Tell Me What You See and I Will Show You Where It Is. CVPR 2014: 3190-3197 - [c65]Liang-Chieh Chen, Sanja Fidler, Raquel Urtasun:
Beat the MTurkers: Automatic Image Labeling from Weak 3D Supervision. CVPR 2014: 3198-3205 - [c64]Chen Kong, Dahua Lin, Mohit Bansal, Raquel Urtasun, Sanja Fidler:
What Are You Talking About? Text-to-Image Coreference. CVPR 2014: 3558-3565 - [c63]Koichiro Yamaguchi, David A. McAllester, Raquel Urtasun:
Efficient Joint Segmentation, Occlusion Labeling, Stereo and Flow Estimation. ECCV (5) 2014: 756-771 - [c62]Shenlong Wang, Lei Zhang, Raquel Urtasun:
Transductive Gaussian processes for image denoising. ICCP 2014: 1-8 - [c61]Alexander G. Schwing, Tamir Hazan, Marc Pollefeys, Raquel Urtasun:
Globally Convergent Parallel MAP LP Relaxation Solver using the Frank-Wolfe Algorithm. ICML 2014: 487-495 - [c60]Shenlong Wang, Alexander G. Schwing, Raquel Urtasun:
Efficient Inference of Continuous Markov Random Fields with Polynomial Potentials. NIPS 2014: 936-944 - [c59]Jian Zhang, Alexander G. Schwing, Raquel Urtasun:
Message Passing Inference for Large Scale Graphical Models with High Order Potentials. NIPS 2014: 1134-1142 - [c58]Yali Wang, Marcus A. Brubaker, Brahim Chaib-draa, Raquel Urtasun:
Bayesian Filtering with Online Gaussian Process Latent Variable Models. UAI 2014: 849-857 - [i8]Xianjie Chen, Roozbeh Mottaghi, Xiaobai Liu, Sanja Fidler, Raquel Urtasun, Alan L. Yuille:
Detect What You Can: Detecting and Representing Objects using Holistic Models and Body Parts. CoRR abs/1406.2031 (2014) - [i7]Roozbeh Mottaghi, Sanja Fidler, Alan L. Yuille, Raquel Urtasun, Devi Parikh:
Human-Machine CRFs for Identifying Bottlenecks in Holistic Scene Understanding. CoRR abs/1406.3906 (2014) - [i6]Liang-Chieh Chen, Alexander G. Schwing, Alan L. Yuille, Raquel Urtasun:
Learning Deep Structured Models. CoRR abs/1407.2538 (2014) - [i5]Philip Lenz, Andreas Geiger, Raquel Urtasun:
FollowMe: Efficient Online Min-Cost Flow Tracking with Bounded Memory and Computation. CoRR abs/1407.6251 (2014) - 2013
- [j7]Andreas Geiger, Philip Lenz, Christoph Stiller, Raquel Urtasun:
Vision meets robotics: The KITTI dataset. I. J. Robotics Res. 32(11): 1231-1237 (2013) - [c57]Koichiro Yamaguchi, David A. McAllester, Raquel Urtasun:
Robust Monocular Epipolar Flow Estimation. CVPR 2013: 1862-1869 - [c56]Sanja Fidler, Abhishek Sharma, Raquel Urtasun:
A Sentence Is Worth a Thousand Pixels. CVPR 2013: 1995-2002 - [c55]Marcus A. Brubaker, Andreas Geiger, Raquel Urtasun:
Lost! Leveraging the Crowd for Probabilistic Visual Self-Localization. CVPR 2013: 3057-3064 - [c54]Roozbeh Mottaghi, Sanja Fidler, Jian Yao, Raquel Urtasun, Devi Parikh:
Analyzing Semantic Segmentation Using Hybrid Human-Machine CRFs. CVPR 2013: 3143-3150 - [c53]Sanja Fidler, Roozbeh Mottaghi, Alan L. Yuille, Raquel Urtasun:
Bottom-Up Segmentation for Top-Down Detection. CVPR 2013: 3294-3301 - [c52]Alexander G. Schwing, Sanja Fidler, Marc Pollefeys, Raquel Urtasun:
Box in the Box: Joint 3D Layout and Object Reasoning from Single Images. ICCV 2013: 353-360 - [c51]Jian Zhang, Chen Kan, Alexander G. Schwing, Raquel Urtasun:
Estimating the 3D Layout of Indoor Scenes and Its Clutter from Depth Sensors. ICCV 2013: 1273-1280 - [c50]Dahua Lin, Sanja Fidler, Raquel Urtasun:
Holistic Scene Understanding for 3D Object Detection with RGBD Cameras. ICCV 2013: 1417-1424 - [c49]Hongyi Zhang, Andreas Geiger, Raquel Urtasun:
Understanding High-Level Semantics by Modeling Traffic Patterns. ICCV 2013: 3056-3063 - [c48]Wenjie Luo, Alexander G. Schwing, Raquel Urtasun:
Latent Structured Active Learning. NIPS 2013: 728-736 - 2012
- [c47]Jian Yao, Sanja Fidler, Raquel Urtasun:
Describing the scene as a whole: Joint object detection, scene classification and semantic segmentation. CVPR 2012: 702-709 - [c46]Aydin Varol, Mathieu Salzmann, Pascal Fua, Raquel Urtasun:
A constrained latent variable model. CVPR 2012: 2248-2255 - [c45]Alexander G. Schwing, Tamir Hazan, Marc Pollefeys, Raquel Urtasun:
Efficient structured prediction for 3D indoor scene understanding. CVPR 2012: 2815-2822 - [c44]Andreas Geiger, Philip Lenz, Raquel Urtasun:
Are we ready for autonomous driving? The KITTI vision benchmark suite. CVPR 2012: 3354-3361 - [c43]Koichiro Yamaguchi, Tamir Hazan, David A. McAllester, Raquel Urtasun:
Continuous Markov Random Fields for Robust Stereo Estimation. ECCV (5) 2012: 45-58 - [c42]Mathieu Salzmann, Raquel Urtasun:
Beyond Feature Points: Structured Prediction for Monocular Non-rigid 3D Reconstruction. ECCV (4) 2012: 245-259 - [c41]Alexander G. Schwing, Raquel Urtasun:
Efficient Exact Inference for 3D Indoor Scene Understanding. ECCV (6) 2012: 299-313 - [c40]Alexander G. Schwing, Tamir Hazan, Marc Pollefeys, Raquel Urtasun:
Efficient Structured Prediction with Latent Variables for General Graphical Models. ICML 2012 - [c39]Sanja Fidler, Sven J. Dickinson, Raquel Urtasun:
3D Object Detection and Viewpoint Estimation with a Deformable 3D Cuboid Model. NIPS 2012: 620-628 - [c38]Alexander G. Schwing, Tamir Hazan, Marc Pollefeys, Raquel Urtasun:
Globally Convergent Dual MAP LP Relaxation Solvers using Fenchel-Young Margins. NIPS 2012: 2393-2401 - [c37]Marcus A. Brubaker, Mathieu Salzmann, Raquel Urtasun:
A Family of MCMC Methods on Implicitly Defined Manifolds. AISTATS 2012: 161-172 - [i4]Koichiro Yamaguchi, Tamir Hazan, David A. McAllester, Raquel Urtasun:
Continuous Markov Random Fields for Robust Stereo Estimation. CoRR abs/1204.1393 (2012) - [i3]C. Mario Christoudias, Raquel Urtasun, Trevor Darrell:
Multi-View Learning in the Presence of View Disagreement. CoRR abs/1206.3242 (2012) - [i2]Tamir Hazan, Raquel Urtasun:
Efficient Learning of Structured Predictors in General Graphical Models. CoRR abs/1210.2346 (2012) - 2011
- [c36]Alexander G. Schwing, Tamir Hazan, Marc Pollefeys, Raquel Urtasun:
Distributed message passing for large scale graphical models. CVPR 2011: 1833-1840 - [c35]Andreas Geiger, Martin Lauer, Raquel Urtasun:
A generative model for 3D urban scene understanding from movable platforms. CVPR 2011: 1945-1952 - [c34]Alex Shyr, Trevor Darrell, Michael I. Jordan, Raquel Urtasun:
Supervised hierarchical Pitman-Yor process for natural scene segmentation. CVPR 2011: 2281-2288 - [c33]Henning Hamer, Juergen Gall, Raquel Urtasun, Luc J. Van Gool:
Data-driven animation of hand-object interactions. FG 2011: 360-367 - [c32]Mathieu Salzmann, Raquel Urtasun:
Physically-based motion models for 3D tracking: A convex formulation. ICCV 2011: 2064-2071 - [c31]Jian Peng, Tamir Hazan, David A. McAllester, Raquel Urtasun:
Convex Max-Product over Compact Sets for Protein Folding. ICML 2011: 729-736 - [c30]Angela Yao, Juergen Gall, Luc J. Van Gool, Raquel Urtasun:
Learning Probabilistic Non-Linear Latent Variable Models for Tracking Complex Activities. NIPS 2011: 1359-1367 - [c29]Andreas Geiger, Christian Wojek, Raquel Urtasun:
Joint 3D Estimation of Objects and Scene Layout. NIPS 2011: 1467-1475 - 2010
- [j6]Ashish Kapoor, Kristen Grauman, Raquel Urtasun, Trevor Darrell:
Gaussian Processes for Object Categorization. International Journal of Computer Vision 88(2): 169-188 (2010) - [c28]Andreas Geiger, Martin Roser, Raquel Urtasun:
Efficient Large-Scale Stereo Matching. ACCV (1) 2010: 25-38 - [c27]Mathieu Salzmann, Raquel Urtasun:
Combining discriminative and generative methods for 3D deformable surface and articulated pose reconstruction. CVPR 2010: 647-654 - [c26]Alex Shyr, Raquel Urtasun, Michael I. Jordan:
Sufficient dimension reduction for visual sequence classification. CVPR 2010: 3610-3617 - [c25]C. Mario Christoudias, Raquel Urtasun, Mathieu Salzmann, Trevor Darrell:
Learning to Recognize Objects from Unseen Modalities. ECCV (1) 2010: 677-691 - [c24]Tamir Hazan, Raquel Urtasun:
A Primal-Dual Message-Passing Algorithm for Approximated Large Scale Structured Prediction. NIPS 2010: 838-846 - [c23]Taehwan Kim, Gregory Shakhnarovich, Raquel Urtasun:
Sparse Coding for Learning Interpretable Spatio-Temporal Primitives. NIPS 2010: 1117-1125 - [c22]Mathieu Salzmann, Raquel Urtasun:
Implicitly Constrained Gaussian Process Regression for Monocular Non-Rigid Pose Estimation. NIPS 2010: 2065-2073 - [c21]Mathieu Salzmann, Carl Henrik Ek, Raquel Urtasun, Trevor Darrell:
Factorized Orthogonal Latent Spaces. AISTATS 2010: 701-708 - [i1]Tamir Hazan, Raquel Urtasun:
Approximated Structured Prediction for Learning Large Scale Graphical Models. CoRR abs/1006.2899 (2010)
2000 – 2009
- 2009
- [c20]Andreas Geiger, Raquel Urtasun, Trevor Darrell:
Rank priors for continuous non-linear dimensionality reduction. CVPR 2009: 880-887 - [c19]C. Mario Christoudias, Raquel Urtasun, Ashish Kapoor, Trevor Darrell:
Co-training with noisy perceptual observations. CVPR 2009: 2844-2851 - [c18]