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All publications by Trevor Darrell
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On learning to localize objects with minimal supervision
Hyun O. Song, Ross Girshick, Stefanie Jegelka, Julien Mairal, Zaid Harchaoui and Trevor Darrell
Proceedings of the 31st International Conference on Machine Learning (ICML-14), 2014


DeCAF: A Deep Convolutional Activation Feature for Generic Visual Recognition
Jeff Donahue, Yangqing Jia, Oriol Vinyals, Judy Hoffman, Ning Zhang, Eric Tzeng and Trevor Darrell
Proceedings of the 31st International Conference on Machine Learning (ICML-14), 2014


Do Convnets Learn Correspondence?
Jonathan L. Long, Ning Zhang and Trevor Darrell
Advances in Neural Information Processing Systems 27, 2014


LSDA: Large Scale Detection through Adaptation
Judy Hoffman, Sergio Guadarrama, Eric S. Tzeng, Ronghang Hu, Jeff Donahue, Ross Girshick, Trevor Darrell and Kate Saenko
Advances in Neural Information Processing Systems 27, 2014


Weakly-supervised Discovery of Visual Pattern Configurations
Hyun O. Song, Yong J. Lee, Stefanie Jegelka and Trevor Darrell
Advances in Neural Information Processing Systems 27, 2014


On Compact Codes for Spatially Pooled Features
Yangqing Jia, Oriol Vinyals and Trevor Darrell
Proceedings of the 30th International Conference on Machine Learning (ICML-13), 2013


Visual Concept Learning: Combining Machine Vision and Bayesian Generalization on Concept Hierarchies
Yangqing Jia, Joshua T. Abbott, Joseph Austerweil, Thomas Griffiths and Trevor Darrell
Advances in Neural Information Processing Systems 26, 2013


Discriminatively Activated Sparselets
Hyun O. Song, Trevor Darrell and Ross B. Girshick
Proceedings of the 30th International Conference on Machine Learning (ICML-13), 2013


Learning with Recursive Perceptual Representations
Oriol Vinyals, Yangqing Jia, Li Deng and Trevor Darrell
Advances in Neural Information Processing Systems 25, 2012


Timely Object Recognition
Sergey Karayev, Tobias Baumgartner, Mario Fritz and Trevor Darrell
Advances in Neural Information Processing Systems 25, 2012


Heavy-tailed Distances for Gradient Based Image Descriptors
Yangqing Jia and Trevor Darrell
Advances in Neural Information Processing Systems 24, 2011


Size Matters: Metric Visual Search Constraints from Monocular Metadata
Mario Fritz, Kate Saenko and Trevor Darrell
Advances in Neural Information Processing Systems 23, 2010


Factorized Latent Spaces with Structured Sparsity
Yangqing Jia, Mathieu Salzmann and Trevor Darrell
Advances in Neural Information Processing Systems 23, 2010


Factorized Orthogonal Latent Spaces
Mathieu Salzmann, Carl H. Ek, Raquel Urtasun and Trevor Darrell
Proceedings of the Thirteenth International Conference on Artificial Intelligence and Statistics (AISTATS-10), 2010


An efficient projection for {\it l}$_{\mbox{1}}$,$_{\mbox{infinity}}$ regularization
Ariadna Quattoni, Xavier Carreras, Michael Collins and Trevor Darrell
Proceedings of the 26th International Conference on Machine Learning (ICML-09), 2009


Filtering Abstract Senses From Image Search Results
Kate Saenko and Trevor Darrell
Advances in Neural Information Processing Systems 22, 2009


Learning to Hash with Binary Reconstructive Embeddings
Brian Kulis and Trevor Darrell
Advances in Neural Information Processing Systems 22, 2009


An Additive Latent Feature Model for Transparent Object Recognition
Mario Fritz, Gary Bradski, Sergey Karayev, Trevor Darrell and Michael J. Black
Advances in Neural Information Processing Systems 22, 2009


Topologically-constrained latent variable models
Raquel Urtasun, David J. Fleet, Andreas Geiger, Jovan Popovic, Trevor Darrell and Neil D. Lawrence
Proceedings of the 25th International Conference on Machine Learning (ICML-08), 2008


Unsupervised Learning of Visual Sense Models for Polysemous Words
Kate Saenko and Trevor Darrell
Advances in Neural Information Processing Systems 21, 2008


Discriminative Gaussian process latent variable model for classification
Raquel Urtasun and Trevor Darrell
Proceedings of the 24th International Conference on Machine Learning (ICML-07), 2007


The Pyramid Match Kernel: Efficient Learning with Sets of Features
Kristen Grauman and Trevor Darrell
Journal of Machine Learning Research, 2007


Approximate Correspondences in High Dimensions
Kristen Grauman and Trevor Darrell
Advances in Neural Information Processing Systems 19, 2006


Conditional Random Fields for Object Recognition
Ariadna Quattoni, Michael Collins and Trevor Darrell
Advances in Neural Information Processing Systems 17, 2004


Recovering Articulated Model Topology from Observed Rigid Motion
Leonid Taycher, John Iii and Trevor Darrell
Advances in Neural Information Processing Systems 15, 2002


Location Estimation with a Differential Update Network
Ali Rahimi and Trevor Darrell
Advances in Neural Information Processing Systems 15, 2002