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Trevor Darrell, Ph.D.

Affiliations: 
Electrical Engineering and Computer Science University of California, Berkeley, Berkeley, CA, United States 
Area:
Computer vision
Website:
http://www.eecs.berkeley.edu/~trevor/
Google:
"Trevor Darrell"
Mean distance: 16.79 (cluster 29)
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Parents

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Alex Pentland grad student 1996

Children

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Gregory Shakhnarovich grad student MIT
Kristen Grauman grad student 2007
Ashley M. Eden grad student 2010 UC Berkeley
Sergey K. Karayev grad student 2014 UC Berkeley
Hyun O. Song grad student 2014 UC Berkeley
Xin Wang grad student 2020 UC Berkeley
Dequan Wang grad student 2016-2022 UC Berkeley (Computer Science Tree)
Thomas Mensink post-doc 2016-2016 UC Berkeley (Computer Science Tree)

Collaborators

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Publications

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Simon M, Rodner E, Darrell T, et al. (2018) The whole is more than its parts? From explicit to implicit pose normalization. Ieee Transactions On Pattern Analysis and Machine Intelligence
Donahue J, Hendricks LA, Rohrbach M, et al. (2016) Long-term Recurrent Convolutional Networks for Visual Recognition and Description. Ieee Transactions On Pattern Analysis and Machine Intelligence
Girshick R, Donahue J, Darrell T, et al. (2016) Region-Based Convolutional Networks for Accurate Object Detection and Segmentation. Ieee Transactions On Pattern Analysis and Machine Intelligence. 38: 142-58
Guadarrama S, Rodner E, Saenko K, et al. (2016) Understanding object descriptions in robotics by open-vocabulary object retrieval and detection International Journal of Robotics Research. 35: 265-280
Hyun Oh Song, Girshick R, Zickler S, et al. (2015) Generalized Sparselet Models for Real-Time Multiclass Object Recognition. Ieee Transactions On Pattern Analysis and Machine Intelligence. 37: 1001-12
Song HO, Girshick R, Zickler S, et al. (2015) Generalized sparselet models for real-time multiclass object recognition Ieee Transactions On Pattern Analysis and Machine Intelligence. 37: 1001-1012
Song HO, Fritz M, Goehring D, et al. (2015) Learning to Detect Visual Grasp Affordance Ieee Transactions On Automation Science and Engineering
Darrell T, Ferrari V, Jurie F, et al. (2015) Introduction to the CVIU special issue on "Parts and Attributes: Mid-level representation for object recognition, scene classification and object detection" Computer Vision and Image Understanding. 138: 85
Chakrabarti A, Ying Xiong, Baochen Sun, et al. (2014) Modeling Radiometric Uncertainty for Vision with Tone-Mapped Color Images. Ieee Transactions On Pattern Analysis and Machine Intelligence. 36: 2185-98
Song HO, Girshick R, Jegelka S, et al. (2014) On learning to localize objects with minimal supervision 31st International Conference On Machine Learning, Icml 2014. 5: 3582-3590
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