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.
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.
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.
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.
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.
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.
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.
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.
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.
R. Luo, M. Laielli, G. Biamby, and A. Loeffler, "AI for HADR: Progress and Opportunities," T. Darrell and J. F. Canny, Eds., EECS Department, University of California, Berkeley, Tech. Rep. UCB/EECS-2020-233, Dec. 2020.
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.