| 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]
|
| 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]
|
| 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]
|
| 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]
|
| 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]
|
| 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]
|
| 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]
|
| 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]
|
| 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]
|
| 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]
|
| 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]
|
| 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]
|
| 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]
|
| 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]
|
| 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]
|
| 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]
|
| 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]
|
| 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]
|
| 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]
|
| 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]
|
| 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]
|
| 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 | |
| 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]
|
| 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 | |
| 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 | |
| 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 | |
| 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]
|
| 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]
|
| 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]
|
| 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 | |
| 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]
|
| 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]
|
| 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 | |
| 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]
|
| 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]
|
| 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]
|
| 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 | |
| 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 | |
| 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 | |
| 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 | |
| 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 | |
| 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]
|
| 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]
|
| 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 | |
| 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]
|
| 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]
|
| A Constrained Combination of Discriminative and Generative Methods | M. Salzmann and R. Urtasun | Presented at the Learning Workshop, Snowbird, Utah | April 2010 | Vision | |
| 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]
|
| 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 | |
| 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]
|
