| Refinement of Observations Under Budget Constraints in Active Learning | N. Cebron | Proceedings of the Towards Closing the Loop: Active Learning for Robotics Workshop at the 2010 Robotics: Science and Systems Conference (RSS 2010), Zaragoza, Spain | June 2010 | Vision | [PDF]
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| Non-Linear Matrix Factorization with Gaussian Processes | N. D. Lawrence and R. Urtasun | Proceedings of the 26th International Conference on Machine Learning (ICML 2009), Montreal, Canada, pp. 601-608 | June 2009 | Vision | [PDF]
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| Non-Linear Matrix Factorization | N. D. Lawrence and R. Urtasun | Presented at the Learning Workshop (Snowbird), Clearwater, Florida | April 2009 | Vision | [PDF]
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| Pose Pooling Kernels for Sub-Category Recognition | N. Zhang, R. Farrell, and T. Darrell | Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition (CVPR 2012), Providence, Rhode Island, pp. 3665-3672 | June 2012 | Vision | [PDF]
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| Learning with Recursive Perceptual Representations | O. Vinyals, Y. Jia, L. Deng, and T. Darrell | Presented at the 26th Annual Conference on Neural Information Processing Systems (NIPS 2012), Lake Tahoe, Nevada | December 2012 | Vision | [PDF]
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| Perception for the Manipulation of Socks | P. C. Wang, S. Miller, M. Fritz, T. Darrell, and P. Abbeel | Proceedings of the IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS), Algarve, Portugal, pp. 4877-4884 | September 2011 | Vision | [PDF]
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| Inductive Regularized Learning of Kernel Functions | P. Jain, B. Kulis, and I. Dhillon | Proceedings of the 24th Annual Conference on Neural Information Processing Systems (NIPS 2010), Vancouver, Canada, pp. 946-954 | December 2010 | Vision | [PDF]
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| Discriminative Structure Learning of Hierarchical Representations for Object Detection | P. Schnitzspan, M. Fritz, S. Roth, and B. Schiele | Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition (CVPR), Miami, Florida, pp. 2238-2245 | June 2009 | Vision | [PDF]
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| Counter-Forensics: Attacking Image Forensics | R. Boehme and M. Kirchner | In Digital Image Forensics, H. T. Sencar and N. D. Memon, eds., pp. 327-366, Springer | 2012 | Vision | [PDF]
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| Birdlets: Subordinate Categorization Using Volumetric Primitives and Pose-Normalized Appearance | R. Farrell, O. Oza, N. Zhang, V. Morariu, T. Darrell, and L. Davis | Proceedings of the International Conference on Computer Vision (ICCV), Barcelona, Spain, pp. 161-168 | November 2011 | Vision | [PDF]
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| Non-Parametric Latent Variable Models for Shape and Motion Analysis | R. Urtasun | Invited talk at the Third International Conference on Computer Vision/Computer Graphics Collaboration Techniques (MIRAGE 2009), Versailles, France | May 2009 | Vision | |
| Local Probabilistic Regression for Activity-Independent Human Pose Inference | R. Urtasun and T. Darrell | Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition (CVPR), Anchorage, Alaska | June 2008 | Vision | [PDF]
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| Rank Priors for Continuous Non-Linear Dimensionality Reduction | R. Urtasun, A. Geiger, and T. Darrell | Presented at the Learning Workshop (Snowbird), Clearwater, Florida | April 2009 | Vision | [PDF]
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| Topologically-Constrained Latent Variable Models | R. Urtasun, D. J. Fleet, A. Geiger, J. Popovic, T. Darrell, and N. D. Lawrence | Proceedings of International Conference on Machine Learning (ICML), Helsinki, Finland, pp. 1080-1087 | July 2008 | Vision | [PDF]
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| A Probabilistic Model for Recursive Factorized Image Features | S. Karayev, M. Fritz, S. Fidler, and T. Darrell | Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition (CVPR 2011), pp. 401-408, Colorado Springs, Colorado | June 2011 | Vision | [PDF]
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| Timely Object Recognition | S. Karayev, T. Baumgartner, M. Fritz, and T. Darrell | Presented at the 26th Annual Conference on Neural Information Processing Systems (NIPS 2012), Lake Tahoe, Nevada | December 2012 | Vision | [PDF]
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| Parametrized Shape Models for Clothing | S. Miller, M. Fritz, T. Darrell, and P. Abbeel | Proceedings of the 2011 IEEE International Conference on Robotics and Automation (ICRA 2011), Shanghai, China | May 2011 | Vision | [PDF]
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| Spectral Methods to Determine the Exact Scaling Factor of Resample Digital Images | S. Pfennig and M. Kirchner | Invited paper, "Image Forensics Techniques" special session, proceedings of the 5th International Symposium on Communications, Control, and Signal Processing (ISCCSP), Rome, Italy | May 2012 | Vision | [PDF]
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| Unexpected Artefacts in PRNU-Based Camera Identification: A "Dresden Image Database" Case-Study | T. Gloe, S. Pfennig, and M. Kirchner | ACM Multimedia and Security Workshop, Coventry, UK | September 2012 | Vision | [PDF]
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| Learning Object Color Models from Multi- View Constraints | T. Owens, K. Saenko, A. Chakrabarti, Y. Xiong, T. Zickler, and T. Darrell | Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition (CVPR 2011), Colorado Springs, Colorado, pp. 169–176 | June 2011 | Vision | [PDF]
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| The Ratio Method for Multi-View Color Constancy | T. Owens, K. Saenko, A. Chakrabarti, Y. Xiong, T. Zickler, and T. Darrell | EECS Department, UC Berkeley Technical Report No. UCB/EECS-2011-23, Berkeley, California | April 2011 | Vision | [PDF]
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| The NBNN Kernel | T. Tuytelaars, M. Fritz, K. Saenko, and T. Darrell | Proceedings of the International Conference on Computer Vision (ICCV), Barcelona, Spain, pp. 1824-1831 | November 2011 | Vision | [PDF]
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| Dynamic Visual Category Learning | T. Yeh and T. Darrell | Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition (CVPR), Anchorage, Alaska | June 2008 | Vision | [PDF]
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| Fast Concurrent Object Localization and Recognition | T. Yeh, J. J. Lee, and T. Darrell | Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition (CVPR), Miami, Florida, pp. 280-287 | June 2009 | Vision | [PDF]
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| Photo-Based Question Answering | T. Yeh, J. Lee, and T. Darrell | Proceedings of 16th ACM International Conference on Multimedia 2008 (ACM Multimedia), Vancouver, Canada, pp. 389-398 | October 2008 | Vision | [PDF]
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| Power SVM: Generalization with Exemplar Classification Uncertainty | W. Zhang, S. X. Yu, and S.-H. Teng | Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition (CVPR 2012), Providence, Rhode Island, pp. 2144-2151 | June 2012 | Vision | [PDF]
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| Heavy-Tailed Distances for Gradient Based Image Descriptors | Y. Jia and T. Darrell | Proceedings of the 25th Annual Conference on Neural Information Processing Systems (NIPS 2011), Granada, Spain | December 2011 | Vision | |
| Beyond Spatial Pyramids: Receptive Field Learning for Pooled Image Features | Y. Jia, C. Huang, and T. Darrell | Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition (CVPR 2012), Providence, Rhode Island, pp. 3370-3377 | June 2012 | Vision | [PDF]
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| Factorized Latent Spaces with Structured Sparsity | Y. Jia, M. Salzmann, and T. Darrell | Proceedings of the 24th Annual Conference on Neural Information Processing Systems (NIPS 2010), Vancouver, Canada, pp. 982-990 | December 2010 | Vision | [PDF]
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| Toward Large-Scale Face Recognition Using Social Network Context | Z. Stone, T. Zickler, and T. Darrell | Proceedings of the IEEE, Vol. 98, Issue 8, pp. 1408-1415 | August 2010 | Vision | [PDF]
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