| 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]
|
| 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]
|
| 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]
|
| 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]
|
| 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]
|
| 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]
|
| 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]
|
| 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]
|
| 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]
|
| 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]
|
| 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]
|
| 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]
|
| 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]
|
| 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]
|
| 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]
|
| Heavy-Tailed Distances for Gradient Based Image Descriptors | Y. Jia and T. Darrell | Proceedings of the 25th Annual Conference on Neural Information Processing Systems (NIPS 2011), Granada, Spain | December 2011 | Vision | |
| 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]
|
| 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]
|
| 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]
|
| 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]
|
| 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 | |
| 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 | |
| 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]
|
| 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]
|
| 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]
|
| 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]
|
| 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]
|
| 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]
|
| 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 | |
| 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 | |
