| 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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| Unsupervised Learning of Visual Sense Models for Polysemous Words | K. Saenko and T. Darrell | Proceedings of the 22nd Annual Conference on Neural Information Processing Systems (NIPS), Vancouver, Canada, pp. 1393-1400 | December 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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| 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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| 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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| 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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| 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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| 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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| Unsupervised Feature Selection via Distributed Coding for Multi-view Object Recognition | C. M. Christoudias, 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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| 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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| 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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| Transfer Learning for Image Classification with Sparse Prototype Representations | A. Quattoni, M. Collins, 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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| 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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| Rank Priors for Continuous Non-Linear Dimensionality Reduction | A. Geiger, R. Urtasun, and T. Darrell | Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition (CVPR), Miami, Florida, pp. 880-887 | June 2009 | 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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| 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 | |
| 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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| 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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| 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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| Template-Free Monocular Reconstruction of Deformable Surfaces | A. Varol, M. Salzmann, E. Tola, and P. Fua | Proceedings of the 12th IEEE International Conference on Computer Vision (ICCV 2009), Kyoto, Japan | September 2009 | Vision | [PDF]
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| 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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| Who is "You"? Combining Linguistic and Gaze Features to Resolve Second-Person References in Dialogue | M. Frampton, R. Fernández, P. Ehlen, M. Christoudias, T. Darrell, and S. Peters | Proceedings of the 12th Conference of the European Chapter of the Association for Computational Linguistics (EACL 2009), Athens, Greece, pp. 273-281 | March 2009 | 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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| 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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| 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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| 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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| Towards Integration of Different Paradigms in Modeling, Representation and Learning of Visual Categories | M. Fritz and B. Schiele | In Object Categorization: Computer and Human Vision Perspectives, S. Dickinson, A. Leonardis, B. Schiele, and M. Tarr, eds., pp. 324-347, Cambridge University Press | 2009 | Vision | |
| 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 | |
| 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 | |
| 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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| Proceedings of the 7th International Conference on Computer Vision Systems (ICVS 2009), Liege, Belgium | M. Fritz, B. Schiele, and J. H. Piater, eds. | Springer | October 2009 | 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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| 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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| Tutor-Based Learning of Visual Categories Using Different Levels of Supervision | M. Fritz, G.-J. Kruijff, and B. Schiele | Computer Vision and Image Understanding, Vol. 114, Issue 5, pp. 564-573 | May 2010 | Vision | |
| 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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| 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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| 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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| 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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| 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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| 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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| 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 | |
| A Constrained Combination of Discriminative and Generative Methods | M. Salzmann and R. Urtasun | Presented at the Learning Workshop, Snowbird, Utah | April 2010 | Vision | |
| 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 | |
| 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 | |
| Size Matters: Metric Visual Search Constraints from Monocular Metadata | M. Fritz, K. Saenko, and T. Darrell | Proceedings of the 24th Annual Conference on Neural Information Processing Systems (NIPS 2010), Vancouver, Canada, pp. 622-630 | December 2010 | Vision | |
| 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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| 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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| 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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| What You Saw is Not What You Get: Domain Adaptation Using Asymmetric Kernel Transforms | B. Kulis, K. Saenko, and T. Darrell | Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition (CVPR 2011), Colorado Springs, Colorado, pp. 1785-1792 | June 2011 | Vision | [PDF]
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