| A Category-Level 3-D Object Dataset: Putting the Kinect to Work | A. Janoch, S. Karayev, Y. Jia, J. Y. Barron, M. Fritz, K. Saenko, and T. Darrell | Proceedings of the First IEEE Workshop on Consumer Depth Cameras for Computer Vision at the International Conference on Computer Vision (ICCV), Barcelona, Spain, pp. 1168-1174 | November 2011 | Vision | [PDF]
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| A Constrained Combination of Discriminative and Generative Methods | M. Salzmann and R. Urtasun | Presented at the Learning Workshop, Snowbird, Utah | April 2010 | Vision | |
| 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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| Adapting Visual Category Models to New Domains | K. Saenko, B. Kulis, M. Fritz, and T. Darrell | Proceedings of the 11th European Conference on Computer Vision (ECCV 2010), Crete, Greece, Part IV, pp. 213-226 | September 2010 | Vision | |
| An Additive Latent Feature Model for Transparent Object Recognition | M. Fritz, M. Black, G. Bradski, and T. Darrell | Proceedings of the 23rd Annual Conference on Neural Information Processing Systems (NIPS 2009), Vancouver, Canada, pp. 558-566 | December 2009 | Vision | [PDF]
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| An Additive Latent Feature Model for Transparent Object Recognition | M. Fritz, M. Black, G. Bradski, S. Karayev, and T. Darrell | Proceedings of the 23rd Annual Conference on Neural Information Processing Systems (NIPS 2009), Vancouver, British Columbia, Canada | December 2009 | Vision | [PDF]
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| An Efficient Projection for L-1/L-Infinity Regularization | A. Quattoni, X. Carreras, M. Collins, and T. Darrell | Proceedings of the 26th International Conference on Machine Learning (ICML 2009), Montreal, Quebec | June 2009 | Vision | [PDF]
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| Beyond Classification -- Large-Scale Gaussian Process Inference and Uncertainty Prediction | A. Freytag, E. Rodner, P. Bodesheim, and J. Denzler | Presented at the BigVision Workshop at the 26th Annual Conference on Neural Information Processing Systems (NIPS 2012), Lake Tahoe, Nevada | December 2012 | Vision | [PDF]
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| 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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| 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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| Categorial Perception | M. Fritz, M. Andriluka, S. Fidler, M. Stark, A. Leonardis, and B. Schiele | In Cognitive Systems, H. I. Christensen, G.-J. Kruijff, A. Sloman, and J. Wyatt, eds., Springer, pp. 131-164 | 2010 | Vision | |
| Classifying Materials in the Real World | B. Caputo, E. Hayman, M. Fritz, and J.-O. Eklundh | Image and Vision Computing, Vol. 28, Issue 1, pp. 150-163 | January 2010 | Vision | [PDF]
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| Co-Training with Noisy Perceptual Observations | C. M. Christoudias, R. Urtasun, A. Kapoor, and T. Darrell | Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition (CVPR), Miami, Florida, pp. 2844-2851 | June 2009 | Vision | [PDF]
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| Co-Training with Noisy Perceptual Observations | C. M. Christoudias, R. Urtasun, A. Kapoor and T. Darrell | Presented at the Learning Workshop (Snowbird), Clearwater, Florida | April 2009 | Vision | [PDF]
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| Combining Discriminative and Generative Methods for 3D Deformable Surface and Articulated Pose Reconstruction | M. Salzmann and R. Urtasun | Proceedings of the 23rd IEEE Conference on Computer Vision and Pattern Recognition (CVPR 2010), San Francisco, California, pp. 647-654 | June 2010 | Vision | [PDF]
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| Convex Perturbations for Scalable Semidefinite Programming | B. Kulis, S. Sra, and I. Dhillon | Proceedings of the 12th International Conference on Artificial Intelligence and Statistics (AISTATS 2009), Clearwater Beach, Florida, pp. 296-303 | April 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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| Decomposition, Discovery, and Detection of Visual Categories Using Topic Models | M. Fritz and B. Schiele | Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition (CVPR), Anchorage, Alaska | June 2008 | Vision | [PDF]
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| Discovering Latent Domains for Multisource Domain Adaptation | J. Hoffman, K. Saenko, B. Kulis, and T. Darrell | Proceedings of the 12th European Conference on Computer Vision (ECCV 2012), pp. 702-715, Firenze, Italy | October 2012 | Vision | |
| 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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| 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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| 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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| Factorized Orthogonal Latent Spaces | M. Salzmann, C. H. Ek, R. Urtasun, and T. Darrell | Proceedings of the 13th International Conference on Artificial Intelligence and Statistics (AISTATS 2010), Sardinia, Italy, pp. 701-708 | May 2010 | 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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| Fast Similarity Search for Learned Metrics | B. Kulis, P. Jain, and K. Grauman | IEEE Transactions on Pattern Analysis and Machine Intelligence, Vol. 31, No. 12, pp. 2143-2157 | December 2009 | Vision | [PDF]
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| Filtering Abstract Sense from Image Search Results | K. Saenko and T. Darrell | Proceedings of the 23rd Annual Conference on Neural Information Processing Systems (NIPS 2009), Vancouver, Canada | December 2009 | Vision | [PDF]
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| Finding Lost Children | A. Eden, C.M. Christoudias, and T. Darrell | Proceedings of the 2011 IEEE Workshop on Person-Oriented Vision (POV 2011), Kona, Hawaii, pp 7-12 | January 2011 | Vision | [PDF]
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| FOLS: Factorized Orthogonal Latent Spaces | M. Salzmann, C. H. Ek, R. Urtasun, and T. Darrell | Presented at the Learning Workshop, Snowbird, Utah | April 2010 | Vision | |
| Gaussian Processes for Object Categorization | A. Kapoor, K. Graumann, R. Urtasun, and T. Darrell | International Journal of Computer Vision, Vol. 88, No. 2, pp. 169-188 | June 2010 | 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 | |
| Impeding Forgers at Photo Inception | M. Kirchner, P. Winkler, and H. Farid | Proceedings of SPIE-IS&T Electronic Imaging, Media Watermarking, Security, and Forensics 2013, SPIE Vol. 8665, San Francisco, California | February 2013 | Vision | [PDF]
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| Implicit Online Learning | B. Kulis and P. Bartlett | Proceedings of the 27th International Conference on Machine Learning (ICML 2010), Haifa, Israel | June 2010 | 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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| Information Hiding | M. Kirchner and D. Ghosal (eds.) | 14th International Conference, Information Hiding 2012, Berkeley, California, Revised Selected Papers, Lecture Notes in Computer Science Vol. 7692 | May 2012 | Vision | |
| Kernelized Locality-Sensitive Hashing for Scalable Image Search | B. Kulis and K. Grauman | Proceedings of the 12th IEEE International Conference on Computer Vision (ICCV 2009), Kyoto, Japan | September 2009 | Vision | [PDF]
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| Learning Cross-Modality Similarity for Multinomal Data | J. Yangqing, M. Salzmann, and T. Darrell | Proceedings of the International Conference on Computer Vision (ICCV), Barcelona, Spain, pp. 2407-2414 | November 2011 | 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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| Learning to Hash with Binary Reconstructive Embeddings | B. Kulis and T. Darrell | Proceedings of the 23rd Annual Conference on Neural Information Processing Systems (NIPS 2009), Vancouver, Canada, pp. 1042-1050. Also appeared as EECS Department, UC Berkeley Technical Report No. UCB-EECS-2009-101, Berkeley, California, July 2009. | December 2009 | Vision | [PDF]
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| Learning to Recognize Objects from Unseen Modalities | M. Christoudias, R. Urtasun, M. Salzmann, and T. Darrell | Proceedings of the 11th European Conference on Computer Vision (ECCV 2010), Crete, Greece, Part I, pp. 677-691 | September 2010 | Vision | |
| 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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| Local Deformation Models for Monocular 3D Shape Recovery | M. Salzmann, R. Urtasun, and P. Fua | Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition (CVPR), Anchorage, Alaska | June 2008 | Vision | [PDF]
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| 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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| Metric Learning for Reinforcement Learning Agents | M. E. Taylor, B. Kulis, and F. Sha | Proceedings of the 10th International Conference on Autonomous Agents and Multiagent Systems (AAMAS 2011), Taipei, Taiwan | May 2011 | Vision | [PDF]
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| Multi-Modal Learning | D. Skocaj, M. Kristan, A. Vrecko, A. Leonardis, M. Fritz, M. Stark, B. Schiele, S. Hongeng, and J. L. Wyatt | In Cognitive Systems, H. I. Christensen, G.-J. Kruijff, A. Sloman, and J. Wyatt, eds., Springer, pp. 265-309 | 2010 | Vision | |
| Multi-View Learning in the Presence of View Disagreement | C. M. Christoudias, R. Urtasun, and T. Darrell | Proceedings of Conference on Uncertainty in Artificial Intelligence (UAI), Helsinki, Finland | July 2008 | Vision | [PDF]
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| Multistream Articulatory Feature-Based Models for Visual Speech Recognition | K. Saenko, K. Livescu, J. Glass, and T. Darrell | IEEE Transactions on Pattern Analysis and Machine Intelligence (PAMI), Vol. 31, No. 9 | September 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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| 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-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 | |
| 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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