| 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 | |
| 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 | |
| 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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| 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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| 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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| 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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| 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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| 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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| 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 | |
| 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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| 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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| 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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| 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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| 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 | |
| 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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| 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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| 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 | |
| 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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| 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 | |
| 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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| 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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| 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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| 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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| 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 | |
| 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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| 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 | |
