Technical Reports - Trevor Darrell

Mid-level Features Improve Recognition of Interactive Activities (EECS-2012-209)
Kate Saenko, Ben Packer, C.-Y. Chen, S. Bandla, Y. Lee, Yangqing Jia, J.-C. Niebles, D. Koller, L. Fei-Fei, K. Grauman and Trevor Darrell

Visually-Grounded Bayesian Word Learning (EECS-2012-202)
Yangqing Jia, Joshua Abbott, Joseph Austerweil, Thomas Griffiths and Trevor Darrell

Don't Look Back: Post-hoc Category Detection via Sparse Reconstruction (EECS-2012-16)
Hyun Oh Song, Mario Fritz, Tim Althoff and Trevor Darrell

The Ratio Method for Multi-view Color Constancy (EECS-2011-23)
Trevor Owens, Kate Saenko, Ayan Chakrabarti, Ying Xiong, Todd Zickler and Trevor Darrell

Visual Domain Adaptation Using Regularized Cross-Domain Transforms (EECS-2010-106)
Kate Saenko, Brian Kulis, Mario Fritz and Trevor Darrell

Visual Domain Adaptation Using Regularized Cross-Domain Transforms (EECS-2010-105)
Kate Saenko, Brian Kulis, Mario Fritz and Trevor Darrell

Factorized Latent Spaces with Structured Sparsity (EECS-2010-99)
Yangqing Jia, Mathieu Salzmann and Trevor Darrell

Transferring Visual Category Models to New Domains (EECS-2010-54)
Kate Saenko, Brian Kulis, Mario Fritz and Trevor Darrell

Learning to Hash with Binary Reconstructive Embeddings (EECS-2009-101)
Brian Kulis and Trevor Darrell

Bayesian Localized Multiple Kernel Learning (EECS-2009-96)
Mario Christoudias, Raquel Urtasun and Trevor Darrell

Co-training with Noisy Perceptual Observations (EECS-2009-17)
C. Mario Christhoudias, Raquel Urtasun, Ashish Kapoor and Trevor Darrell

Probabilistic Kernel Combination for Hierarchical Object Categorization (EECS-2009-16)
Ashish Kapoor, Raquel Urtasun and Trevor Darrell

Visual Grasp Affordances From Appearance-Based Cues (EECS-2013-16)
Hyun Oh Song, Mario Fritz, Chunhui Gu and Trevor Darrell

The Berkeley 3D Object Dataset (EECS-2012-85)
Allison Janoch