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