Trevor Darrell
Trevor Darrell
Professor of Computer Science, U.C. Berkeley
Verified email at eecs.berkeley.edu - Homepage
Title
Cited by
Cited by
Year
Fully convolutional networks for semantic segmentation
J Long, E Shelhamer, T Darrell
Proceedings of the IEEE conference on computer vision and pattern …, 2015
209082015
Rich feature hierarchies for accurate object detection and semantic segmentation
R Girshick, J Donahue, T Darrell, J Malik
Proceedings of the IEEE conference on computer vision and pattern …, 2014
164002014
Caffe: Convolutional architecture for fast feature embedding
Y Jia, E Shelhamer, J Donahue, S Karayev, J Long, R Girshick, ...
Proceedings of the 22nd ACM international conference on Multimedia, 675-678, 2014
149432014
Pfinder: Real-time tracking of the human body
CR Wren, A Azarbayejani, T Darrell, AP Pentland
IEEE Transactions on pattern analysis and machine intelligence 19 (7), 780-785, 1997
66971997
Long-term recurrent convolutional networks for visual recognition and description
J Donahue, L Anne Hendricks, S Guadarrama, M Rohrbach, ...
Proceedings of the IEEE conference on computer vision and pattern …, 2015
46642015
Decaf: A deep convolutional activation feature for generic visual recognition
J Donahue, Y Jia, O Vinyals, J Hoffman, N Zhang, E Tzeng, T Darrell
International conference on machine learning, 647-655, 2014
42042014
Context encoders: Feature learning by inpainting
D Pathak, P Krahenbuhl, J Donahue, T Darrell, AA Efros
Proceedings of the IEEE conference on computer vision and pattern …, 2016
24642016
End-to-end training of deep visuomotor policies
S Levine, C Finn, T Darrell, P Abbeel
The Journal of Machine Learning Research 17 (1), 1334-1373, 2016
21762016
The pyramid match kernel: Discriminative classification with sets of image features
K Grauman, T Darrell
Tenth IEEE International Conference on Computer Vision (ICCV'05) Volume 1 2 …, 2005
19272005
Adversarial discriminative domain adaptation
E Tzeng, J Hoffman, K Saenko, T Darrell
Proceedings of the IEEE conference on computer vision and pattern …, 2017
19122017
Adapting visual category models to new domains
K Saenko, B Kulis, M Fritz, T Darrell
European conference on computer vision, 213-226, 2010
16932010
Region-based convolutional networks for accurate object detection and segmentation
R Girshick, J Donahue, T Darrell, J Malik
IEEE transactions on pattern analysis and machine intelligence 38 (1), 142-158, 2015
15232015
Hidden conditional random fields
A Quattoni, S Wang, LP Morency, M Collins, T Darrell
IEEE transactions on pattern analysis and machine intelligence 29 (10), 1848 …, 2007
1176*2007
Nearest-neighbor methods in learning and vision: theory and practice (neural information processing)
G Shakhnarovich, T Darrell, P Indyk
The MIT press, 2006
1093*2006
Adversarial feature learning
J Donahue, P Krähenbühl, T Darrell
arXiv preprint arXiv:1605.09782, 2016
10922016
Cycada: Cycle-consistent adversarial domain adaptation
J Hoffman, E Tzeng, T Park, JY Zhu, P Isola, K Saenko, A Efros, T Darrell
International conference on machine learning, 1989-1998, 2018
10562018
Deep domain confusion: Maximizing for domain invariance
E Tzeng, J Hoffman, N Zhang, K Saenko, T Darrell
arXiv preprint arXiv:1412.3474, 2014
10492014
Sequence to sequence-video to text
S Venugopalan, M Rohrbach, J Donahue, R Mooney, T Darrell, K Saenko
Proceedings of the IEEE international conference on computer vision, 4534-4542, 2015
10482015
Fast pose estimation with parameter-sensitive hashing
G Shakhnarovich, P Viola, T Darrell
Computer Vision, IEEE International Conference on 3, 750-750, 2003
10032003
Multimodal compact bilinear pooling for visual question answering and visual grounding
A Fukui, DH Park, D Yang, A Rohrbach, T Darrell, M Rohrbach
arXiv preprint arXiv:1606.01847, 2016
9352016
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Articles 1–20