| 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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| 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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| Visual Grasp Affordances From Appearance-Based Cues | H. O. Song, M. Fritz, C. Gu, and T. Darrell | Proceedings of the First IEEE Workshop on Challenges and Opportunities in Robot Perception at the International Conference on Computer Vision (ICCV), Barcelona, Spain, pp. 998-1005 | November 2011 | 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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| 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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| 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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| 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 | |
| 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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| 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 | |
| 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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| 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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| 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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| 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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| 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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| Supervised Hierarchical Pitman-Yor Process for Natural Scene Segmentation | A. Shyr, T. Darrell, M. Jordan, and R. Urtasun | Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition (CVPR 2011), Colorado Springs, Colorado | June 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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| Sparselet Models for Efficient Multiclass Object Detection | H. O. Song, S. Zickler, T. Althoff, R. Girshick, C. Geyer, M. Fritz, P. Felzenszwalb, and T. Darrell | Proceedings of the 12th European Conference on Computer Vision (ECCV 2012), pp. 802-815, Firenze, Italy | October 2012 | 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 | |
| Semi-Supervised Domain Adaptation with Instance Constraints | J. Donahue, J. Hoffman, E. Rodner, K. Saenko, and T. Darrell | To appear in the proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, Portland, Oregon | June 2012 | Vision | |
| 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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| Rapid Uncertainty Computation with Gaussian Processes and Histogram Intersection Kernels | A. Freytag, E. Rodner, P. Bodesheim, and J. Denzler | Proceedings of the 11th Asian Conference on Computer Vision, Daejeon, Korea. Recipient of a best paper honorable mention award. | November 2012 | 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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| 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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| 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 | |
| Practical 3-D Object Detection Using Category and Instance-Level Appearance Models | K. Saenko, S. Karayev, Y. Jia, A. Shyr, A. Janoch, J. Long, M. Fritz, and T. Darrell | Proceedings of the IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS), Algarve, Portugal, pp. 793-800 | September 2011 | 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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| 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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| 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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| 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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| 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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| 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 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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| 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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| 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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| 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 | |
| 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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| 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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| 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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| 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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| 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 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 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 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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| 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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| 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 | |
| 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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| 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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| 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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