| 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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| 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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| 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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| 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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| 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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| 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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| 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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| A Probabilistic Model for Recursive Factorized Image Features | S. Karayev, M. Fritz, S. Fidler, and T. Darrell | Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition (CVPR 2011), pp. 401-408, Colorado Springs, Colorado | June 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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| Beyond Spatial Pyramids: Receptive Field Learning for Pooled Image Features | Y. Jia, C. Huang, and T. Darrell | Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition (CVPR 2012), Providence, Rhode Island, pp. 3370-3377 | 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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| 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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| 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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| 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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| 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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| 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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| 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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| 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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| 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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| 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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| Birdlets: Subordinate Categorization Using Volumetric Primitives and Pose-Normalized Appearance | R. Farrell, O. Oza, N. Zhang, V. Morariu, T. Darrell, and L. Davis | Proceedings of the International Conference on Computer Vision (ICCV), Barcelona, Spain, pp. 161-168 | November 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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| 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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| 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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| 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 | |
| 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 | |