Publication Search Results

Title	Author	Bibliographic	Date	Group	Links
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]
Factorized Latent Spaces with Structured Sparsity	Y. Jia, M. Salzmann, and T. Darrell	Proceedings of the 24th Annual Conference on Neural Information Processing Systems (NIPS 2010), Vancouver, Canada, pp. 982-990	December 2010	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]
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
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]
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]
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]
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]
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 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]
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]
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]
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]
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]
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]
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]
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]
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]
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
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]
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]
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]
Inductive Regularized Learning of Kernel Functions	P. Jain, B. Kulis, and I. Dhillon	Proceedings of the 24th Annual Conference on Neural Information Processing Systems (NIPS 2010), Vancouver, Canada, pp. 946-954	December 2010	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]
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]
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]
Non-Linear Matrix Factorization with Gaussian Processes	N. D. Lawrence and R. Urtasun	Proceedings of the 26th International Conference on Machine Learning (ICML 2009), Montreal, Canada, pp. 601-608	June 2009	Vision	[PDF]
Non-Linear Matrix Factorization	N. D. Lawrence and R. Urtasun	Presented at the Learning Workshop (Snowbird), Clearwater, Florida	April 2009	Vision	[PDF]
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]
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]
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
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
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
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]
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]
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
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
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
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
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
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]
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]
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
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]
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]

Pages