Trevor Darrell
Trevor Darrell
Professor of Computer Science, U.C. Berkeley
Adresse e-mail validée de eecs.berkeley.edu - Page d'accueil
Titre
Citée par
Citée par
Année
Fully convolutional networks for semantic segmentation
J Long, E Shelhamer, T Darrell
Proceedings of the IEEE conference on computer vision and pattern …, 2015
263762015
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
201742014
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
158672014
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
68311997
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
54672015
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
46692014
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
32852016
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
26112016
Adversarial discriminative domain adaptation
E Tzeng, J Hoffman, K Saenko, T Darrell
Proceedings of the IEEE conference on computer vision and pattern …, 2017
26092017
Adapting visual category models to new domains
K Saenko, B Kulis, M Fritz, T Darrell
European conference on computer vision, 213-226, 2010
20102010
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
19842005
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
18962015
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
15632018
Deep domain confusion: Maximizing for domain invariance
E Tzeng, J Hoffman, N Zhang, K Saenko, T Darrell
arXiv preprint arXiv:1412.3474, 2014
14102014
Adversarial feature learning
J Donahue, P Krähenbühl, T Darrell
arXiv preprint arXiv:1605.09782, 2016
13742016
Curiosity-driven exploration by self-supervised prediction
D Pathak, P Agrawal, AA Efros, T Darrell
International conference on machine learning, 2778-2787, 2017
13002017
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
12322015
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
1207*2007
Nearest-neighbor methods in learning and vision: theory and practice (neural information processing)
G Shakhnarovich, T Darrell, P Indyk
The MIT press, 2006
1141*2006
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
11142016
Le système ne peut pas réaliser cette opération maintenant. Veuillez réessayer plus tard.
Articles 1–20