Faculty Publications - Trevor Darrell

Book chapters or sections

• S. Karayev, T. Baumgartner, M. Fritz, and T. Darrell, "Timely Object Recognition," in Advances in Neural Information Processing Systems 25, 2012.
• Y. Jia, M. Salzmann, and T. Darrell, "Factorized Latent Spaces with Structured Sparsity," in Advances in Neural Information Processing Systems 23, 2010.
• Y. Jia, M. Salzmann, and T. Darrell, "Factorized Latent Spaces with Structured Sparsity," in Advances in Neural Information Processing Systems 23, 2010.

Selected Articles in journals or magazines

• Y. Jia, M. Salzmann, and T. Darrell, "Factorized Latent Spaces with Structured Sparsity," in Advances in Neural Information Processing Systems 23, 2010.

Selected Articles in conference proceedings

• S. Karayev, T. Baumgartner, M. Fritz, and T. Darrell, "Timely Object Recognition," in NIPS, 2012.
• S. Karayev, T. Baumgartner, M. Fritz, and T. Darrell, "Timely Object Recognition," in Advances in Neural Information Processing Systems 25, 2012.
• J. Hoffman, B. Kulis, T. Darrell, and K. Saenko, "Discovering Latent Domains for Multisource Domain Adaptation," in European Conference Computer Vision (ECCV), T. Darrell, Ed., 2012. [abstract]
• K. Saenko, S. Karayev, Y. Jia, M. Fritz, J. Long, A. Janoch, A. Y. J. Shyr, and T. Darrell, "Practical 3-D Object Detection Using Category and Instance-level Appearance Models," in IEEE/RSJ International Conference on Intelligent Robots and Systems, 2011.
• Y. Jia and T. Darrell, "Heavy-tailed Distances for Gradient Based Image Descriptors," in Neural Information Processing Systems, 2011.
• Y. Jia, M. Salzmann, and T. Darrell, "Learning Cross-modality Similarity for Multinomial Data," in IEEE International Conference on Computer Vision, 2011.
• S. Karayev, A. Janoch, Y. Jia, J. Barron, M. Fritz, K. Saenko, and T. Darrell, "A Category-level 3-D Database: Putting the Kinect to Work," in ICCV 2011 Workshop on Consumer Depth Cameras for Computer Vision, 2011.

Technical Reports

• E. Rodner, J. Hoffman, J. Donahue, T. Darrell, and K. Saenko, "Towards Adapting ImageNet to Reality: Scalable Domain Adaptation with Implicit Low-rank Transformations," EECS Department, University of California, Berkeley, Tech. Rep. UCB/EECS-2013-154, Aug. 2013. [abstract]
• K. Saenko, B. Packer, C. Chen, S. Bandla, Y. Lee, Y. Jia, J. Niebles, D. Koller, L. Fei-Fei, K. Grauman, and T. Darrell, "Mid-level Features Improve Recognition of Interactive Activities," EECS Department, University of California, Berkeley, Tech. Rep. UCB/EECS-2012-209, Nov. 2012. [abstract]
• Y. Jia, J. Abbott, J. Austerweil, T. Griffiths, and T. Darrell, "Visually-Grounded Bayesian Word Learning," EECS Department, University of California, Berkeley, Tech. Rep. UCB/EECS-2012-202, Oct. 2012. [abstract]
• H. O. Song, M. Fritz, T. Althoff, and T. Darrell, "Don't Look Back: Post-hoc Category Detection via Sparse Reconstruction," EECS Department, University of California, Berkeley, Tech. Rep. UCB/EECS-2012-16, Jan. 2012. [abstract]
• T. Owens, K. Saenko, A. Chakrabarti, Y. Xiong, T. Zickler, and T. Darrell, "The Ratio Method for Multi-view Color Constancy," EECS Department, University of California, Berkeley, Tech. Rep. UCB/EECS-2011-23, April 2011. [abstract]
• K. Saenko, B. Kulis, M. Fritz, and T. Darrell, "Visual Domain Adaptation Using Regularized Cross-Domain Transforms," EECS Department, University of California, Berkeley, Tech. Rep. UCB/EECS-2010-106, July 2010. [abstract]
• K. Saenko, B. Kulis, M. Fritz, and T. Darrell, "Visual Domain Adaptation Using Regularized Cross-Domain Transforms," EECS Department, University of California, Berkeley, Tech. Rep. UCB/EECS-2010-105, July 2010. [abstract]
• Y. Jia, M. Salzmann, and T. Darrell, "Factorized Latent Spaces with Structured Sparsity," EECS Department, University of California, Berkeley, Tech. Rep. UCB/EECS-2010-99, June 2010. [abstract]
• K. Saenko, B. Kulis, M. Fritz, and T. Darrell, "Transferring Visual Category Models to New Domains," EECS Department, University of California, Berkeley, Tech. Rep. UCB/EECS-2010-54, May 2010. [abstract]
• B. Kulis and T. Darrell, "Learning to Hash with Binary Reconstructive Embeddings," EECS Department, University of California, Berkeley, Tech. Rep. UCB/EECS-2009-101, July 2009. [abstract]
• M. Christoudias, R. Urtasun, and T. Darrell, "Bayesian Localized Multiple Kernel Learning," EECS Department, University of California, Berkeley, Tech. Rep. UCB/EECS-2009-96, July 2009. [abstract]
• C. M. Christhoudias, R. Urtasun, A. Kapoor, and T. Darrell, "Co-training with Noisy Perceptual Observations," EECS Department, University of California, Berkeley, Tech. Rep. UCB/EECS-2009-17, Jan. 2009. [abstract]
• A. Kapoor, R. Urtasun, and T. Darrell, "Probabilistic Kernel Combination for Hierarchical Object Categorization," EECS Department, University of California, Berkeley, Tech. Rep. UCB/EECS-2009-16, Jan. 2009. [abstract]

Masters Reports

• H. O. Song, M. Fritz, C. Gu, and T. Darrell, "Visual Grasp Affordances From Appearance-Based Cues," EECS Department, University of California, Berkeley, Tech. Rep. UCB/EECS-2013-16, March 2013. [abstract]
• A. Janoch, "The Berkeley 3D Object Dataset," T. Darrell, P. Abbeel, and J. Malik, Eds., EECS Department, University of California, Berkeley, Tech. Rep. UCB/EECS-2012-85, May 2012. [abstract]