Publication Search Results

TitleAuthorBibliographicsort descendingDateGroupLinks
Information HidingM. Kirchner and D. Ghosal (eds.)14th International Conference, Information Hiding 2012, Berkeley, California, Revised Selected Papers, Lecture Notes in Computer Science Vol. 7692May 2012Vision
Unexpected Artefacts in PRNU-Based Camera Identification: A "Dresden Image Database" Case-StudyT. Gloe, S. Pfennig, and M. KirchnerACM Multimedia and Security Workshop, Coventry, UKSeptember 2012Vision[PDF]

Tutor-Based Learning of Visual Categories Using Different Levels of SupervisionM. Fritz, G.-J. Kruijff, and B. SchieleComputer Vision and Image Understanding, Vol. 114, Issue 5, pp. 564-573May 2010Vision
The Ratio Method for Multi-View Color ConstancyT. Owens, K. Saenko, A. Chakrabarti, Y. Xiong, T. Zickler, and T. DarrellEECS Department, UC Berkeley Technical Report No. UCB/EECS-2011-23, Berkeley, CaliforniaApril 2011Vision[PDF]

Multistream Articulatory Feature-Based Models for Visual Speech RecognitionK. Saenko, K. Livescu, J. Glass, and T. DarrellIEEE Transactions on Pattern Analysis and Machine Intelligence (PAMI), Vol. 31, No. 9September 2009Vision[PDF]

Fast Similarity Search for Learned MetricsB. Kulis, P. Jain, and K. GraumanIEEE Transactions on Pattern Analysis and Machine Intelligence, Vol. 31, No. 12, pp. 2143-2157December 2009Vision[PDF]

Classifying Materials in the Real WorldB. Caputo, E. Hayman, M. Fritz, and J.-O. EklundhImage and Vision Computing, Vol. 28, Issue 1, pp. 150-163January 2010Vision[PDF]

Categorial PerceptionM. Fritz, M. Andriluka, S. Fidler, M. Stark, A. Leonardis, and B. SchieleIn Cognitive Systems, H. I. Christensen, G.-J. Kruijff, A. Sloman, and J. Wyatt, eds., Springer, pp. 131-164 2010Vision
Multi-Modal LearningD. Skocaj, M. Kristan, A. Vrecko, A. Leonardis, M. Fritz, M. Stark, B. Schiele, S. Hongeng, and J. L. WyattIn Cognitive Systems, H. I. Christensen, G.-J. Kruijff, A. Sloman, and J. Wyatt, eds., Springer, pp. 265-309 2010Vision
Counter-Forensics: Attacking Image ForensicsR. Boehme and M. KirchnerIn Digital Image Forensics, H. T. Sencar and N. D. Memon, eds., pp. 327-366, Springer 2012Vision[PDF]

Towards Integration of Different Paradigms in Modeling, Representation and Learning of Visual CategoriesM. Fritz and B. SchieleIn Object Categorization: Computer and Human Vision Perspectives, S. Dickinson, A. Leonardis, B. Schiele, and M. Tarr, eds., pp. 324-347, Cambridge University Press 2009Vision
Gaussian Processes for Object CategorizationA. Kapoor, K. Graumann, R. Urtasun, and T. DarrellInternational Journal of Computer Vision, Vol. 88, No. 2, pp. 169-188June 2010Vision[PDF]

Spectral Methods to Determine the Exact Scaling Factor of Resample Digital ImagesS. Pfennig and M. KirchnerInvited paper, "Image Forensics Techniques" special session, proceedings of the 5th International Symposium on Communications, Control, and Signal Processing (ISCCSP), Rome, ItalyMay 2012Vision[PDF]

Non-Parametric Latent Variable Models for Shape and Motion AnalysisR. UrtasunInvited talk at the Third International Conference on Computer Vision/Computer Graphics Collaboration Techniques (MIRAGE 2009), Versailles, FranceMay 2009Vision
Learning with Recursive Perceptual RepresentationsO. Vinyals, Y. Jia, L. Deng, and T. DarrellPresented at the 26th Annual Conference on Neural Information Processing Systems (NIPS 2012), Lake Tahoe, NevadaDecember 2012Vision[PDF]

Timely Object RecognitionS. Karayev, T. Baumgartner, M. Fritz, and T. DarrellPresented at the 26th Annual Conference on Neural Information Processing Systems (NIPS 2012), Lake Tahoe, NevadaDecember 2012Vision[PDF]

Beyond Classification -- Large-Scale Gaussian Process Inference and Uncertainty PredictionA. Freytag, E. Rodner, P. Bodesheim, and J. DenzlerPresented at the BigVision Workshop at the 26th Annual Conference on Neural Information Processing Systems (NIPS 2012), Lake Tahoe, NevadaDecember 2012Vision[PDF]

Non-Linear Matrix FactorizationN. D. Lawrence and R. UrtasunPresented at the Learning Workshop (Snowbird), Clearwater, FloridaApril 2009Vision[PDF]

Rank Priors for Continuous Non-Linear Dimensionality ReductionR. Urtasun, A. Geiger, and T. DarrellPresented at the Learning Workshop (Snowbird), Clearwater, FloridaApril 2009Vision[PDF]

Co-Training with Noisy Perceptual ObservationsC. M. Christoudias, R. Urtasun, A. Kapoor and T. DarrellPresented at the Learning Workshop (Snowbird), Clearwater, FloridaApril 2009Vision[PDF]

FOLS: Factorized Orthogonal Latent SpacesM. Salzmann, C. H. Ek, R. Urtasun, and T. DarrellPresented at the Learning Workshop, Snowbird, UtahApril 2010Vision
A Constrained Combination of Discriminative and Generative MethodsM. Salzmann and R. UrtasunPresented at the Learning Workshop, Snowbird, UtahApril 2010Vision
Photo-Based Question AnsweringT. Yeh, J. Lee, and T. DarrellProceedings of 16th ACM International Conference on Multimedia 2008 (ACM Multimedia), Vancouver, Canada, pp. 389-398October 2008Vision[PDF]

Multi-View Learning in the Presence of View DisagreementC. M. Christoudias, R. Urtasun, and T. DarrellProceedings of Conference on Uncertainty in Artificial Intelligence (UAI), Helsinki, FinlandJuly 2008Vision[PDF]

Topologically-Constrained Latent Variable ModelsR. Urtasun, D. J. Fleet, A. Geiger, J. Popovic, T. Darrell, and N. D. LawrenceProceedings of International Conference on Machine Learning (ICML), Helsinki, Finland, pp. 1080-1087July 2008Vision[PDF]

Impeding Forgers at Photo InceptionM. Kirchner, P. Winkler, and H. FaridProceedings of SPIE-IS&T Electronic Imaging, Media Watermarking, Security, and Forensics 2013, SPIE Vol. 8665, San Francisco, CaliforniaFebruary 2013Vision[PDF]

Metric Learning for Reinforcement Learning AgentsM. E. Taylor, B. Kulis, and F. ShaProceedings of the 10th International Conference on Autonomous Agents and Multiagent Systems (AAMAS 2011), Taipei, TaiwanMay 2011Vision[PDF]

Rapid Uncertainty Computation with Gaussian Processes and Histogram Intersection KernelsA. Freytag, E. Rodner, P. Bodesheim, and J. DenzlerProceedings of the 11th Asian Conference on Computer Vision, Daejeon, Korea. Recipient of a best paper honorable mention award.November 2012Vision[PDF]

Learning to Recognize Objects from Unseen ModalitiesM. Christoudias, R. Urtasun, M. Salzmann, and T. DarrellProceedings of the 11th European Conference on Computer Vision (ECCV 2010), Crete, Greece, Part I, pp. 677-691September 2010Vision
Adapting Visual Category Models to New DomainsK. Saenko, B. Kulis, M. Fritz, and T. DarrellProceedings of the 11th European Conference on Computer Vision (ECCV 2010), Crete, Greece, Part IV, pp. 213-226September 2010Vision
Who is "You"? Combining Linguistic and Gaze Features to Resolve Second-Person References in DialogueM. Frampton, R. Fernández, P. Ehlen, M. Christoudias, T. Darrell, and S. PetersProceedings of the 12th Conference of the European Chapter of the Association for Computational Linguistics (EACL 2009), Athens, Greece, pp. 273-281March 2009Vision[PDF]

Discovering Latent Domains for Multisource Domain AdaptationJ. Hoffman, K. Saenko, B. Kulis, and T. DarrellProceedings of the 12th European Conference on Computer Vision (ECCV 2012), pp. 702-715, Firenze, ItalyOctober 2012Vision
Sparselet Models for Efficient Multiclass Object DetectionH. O. Song, S. Zickler, T. Althoff, R. Girshick, C. Geyer, M. Fritz, P. Felzenszwalb, and T. DarrellProceedings of the 12th European Conference on Computer Vision (ECCV 2012), pp. 802-815, Firenze, ItalyOctober 2012Vision
Template-Free Monocular Reconstruction of Deformable SurfacesA. Varol, M. Salzmann, E. Tola, and P. FuaProceedings of the 12th IEEE International Conference on Computer Vision (ICCV 2009), Kyoto, JapanSeptember 2009Vision[PDF]

Kernelized Locality-Sensitive Hashing for Scalable Image SearchB. Kulis and K. GraumanProceedings of the 12th IEEE International Conference on Computer Vision (ICCV 2009), Kyoto, JapanSeptember 2009Vision[PDF]

Convex Perturbations for Scalable Semidefinite ProgrammingB. Kulis, S. Sra, and I. DhillonProceedings of the 12th International Conference on Artificial Intelligence and Statistics (AISTATS 2009), Clearwater Beach, Florida, pp. 296-303April 2009Vision[PDF]

Factorized Orthogonal Latent SpacesM. Salzmann, C. H. Ek, R. Urtasun, and T. DarrellProceedings of the 13th International Conference on Artificial Intelligence and Statistics (AISTATS 2010), Sardinia, Italy, pp. 701-708May 2010Vision[PDF]

Parametrized Shape Models for ClothingS. Miller, M. Fritz, T. Darrell, and P. AbbeelProceedings of the 2011 IEEE International Conference on Robotics and Automation (ICRA 2011), Shanghai, ChinaMay 2011Vision[PDF]

Finding Lost ChildrenA. Eden, C.M. Christoudias, and T. DarrellProceedings of the 2011 IEEE Workshop on Person-Oriented Vision (POV 2011), Kona, Hawaii, pp 7-12January 2011Vision[PDF]

Unsupervised Learning of Visual Sense Models for Polysemous WordsK. Saenko and T. DarrellProceedings of the 22nd Annual Conference on Neural Information Processing Systems (NIPS), Vancouver, Canada, pp. 1393-1400December 2008Vision[PDF]

An Additive Latent Feature Model for Transparent Object RecognitionM. Fritz, M. Black, G. Bradski, S. Karayev, and T. DarrellProceedings of the 23rd Annual Conference on Neural Information Processing Systems (NIPS 2009), Vancouver, British Columbia, CanadaDecember 2009Vision[PDF]

Filtering Abstract Sense from Image Search ResultsK. Saenko and T. DarrellProceedings of the 23rd Annual Conference on Neural Information Processing Systems (NIPS 2009), Vancouver, CanadaDecember 2009Vision[PDF]

Learning to Hash with Binary Reconstructive EmbeddingsB. Kulis and T. DarrellProceedings 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 2009Vision[PDF]

An Additive Latent Feature Model for Transparent Object RecognitionM. Fritz, M. Black, G. Bradski, and T. DarrellProceedings of the 23rd Annual Conference on Neural Information Processing Systems (NIPS 2009), Vancouver, Canada, pp. 558-566December 2009Vision[PDF]

Combining Discriminative and Generative Methods for 3D Deformable Surface and Articulated Pose ReconstructionM. Salzmann and R. UrtasunProceedings of the 23rd IEEE Conference on Computer Vision and Pattern Recognition (CVPR 2010), San Francisco, California, pp. 647-654June 2010Vision[PDF]

Size Matters: Metric Visual Search Constraints from Monocular MetadataM. Fritz, K. Saenko, and T. DarrellProceedings of the 24th Annual Conference on Neural Information Processing Systems (NIPS 2010), Vancouver, Canada, pp. 622-630December 2010Vision
Inductive Regularized Learning of Kernel FunctionsP. Jain, B. Kulis, and I. DhillonProceedings of the 24th Annual Conference on Neural Information Processing Systems (NIPS 2010), Vancouver, Canada, pp. 946-954December 2010Vision[PDF]

Factorized Latent Spaces with Structured SparsityY. Jia, M. Salzmann, and T. DarrellProceedings of the 24th Annual Conference on Neural Information Processing Systems (NIPS 2010), Vancouver, Canada, pp. 982-990December 2010Vision[PDF]

Heavy-Tailed Distances for Gradient Based Image DescriptorsY. Jia and T. DarrellProceedings of the 25th Annual Conference on Neural Information Processing Systems (NIPS 2011), Granada, SpainDecember 2011Vision
Non-Linear Matrix Factorization with Gaussian ProcessesN. D. Lawrence and R. UrtasunProceedings of the 26th International Conference on Machine Learning (ICML 2009), Montreal, Canada, pp. 601-608June 2009Vision[PDF]

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