Articoli con mandati relativi all'accesso pubblico - Trevor DarrellUlteriori informazioni
Non disponibile pubblicamente: 1
Finding lost children
A Eden, CM Christoudias, T Darrell
2011 IEEE Workshop on Person-Oriented Vision, 7-12, 2011
Mandati: US National Institutes of Health
Disponibili pubblicamente: 102
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
Mandati: US National Science Foundation
A convnet for the 2020s
Z Liu, H Mao, CY Wu, C Feichtenhofer, T Darrell, S Xie
Proceedings of the IEEE/CVF conference on computer vision and pattern …, 2022
Mandati: US Department of Defense
Adversarial discriminative domain adaptation
E Tzeng, J Hoffman, K Saenko, T Darrell
Proceedings of the IEEE conference on computer vision and pattern …, 2017
Mandati: US National Science Foundation, US Department of Defense
End-to-end training of deep visuomotor policies
S Levine, C Finn, T Darrell, P Abbeel
Journal of Machine Learning Research 17 (39), 1-40, 2016
Mandati: US National Science Foundation, US National Institutes of Health, Natural …
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
Mandati: US National Science Foundation, US Department of Defense
Curiosity-driven exploration by self-supervised prediction
D Pathak, P Agrawal, AA Efros, T Darrell
International conference on machine learning, 2778-2787, 2017
Mandati: US National Science Foundation, US Department of Defense
Toward multimodal image-to-image translation
JY Zhu, R Zhang, D Pathak, T Darrell, AA Efros, O Wang, E Shechtman
Advances in neural information processing systems 30, 2017
Mandati: US National Science Foundation, US Department of Defense
Neural module networks
J Andreas, M Rohrbach, T Darrell, D Klein
Proceedings of the IEEE conference on computer vision and pattern …, 2016
Mandati: US National Science Foundation
End-to-end learning of driving models from large-scale video datasets
H Xu, Y Gao, F Yu, T Darrell
Proceedings of the IEEE conference on computer vision and pattern …, 2017
Mandati: US National Science Foundation, US Department of Defense
Compact bilinear pooling
Y Gao, O Beijbom, N Zhang, T Darrell
Proceedings of the IEEE conference on computer vision and pattern …, 2016
Mandati: US National Science Foundation
Localizing moments in video with natural language
L Anne Hendricks, O Wang, E Shechtman, J Sivic, T Darrell, B Russell
Proceedings of the IEEE international conference on computer vision, 5803-5812, 2017
Mandati: US National Science Foundation, US Department of Defense
Few-shot object detection via feature reweighting
B Kang, Z Liu, X Wang, F Yu, J Feng, T Darrell
Proceedings of the IEEE/CVF international conference on computer vision …, 2019
Mandati: US Department of Defense
Semi-supervised domain adaptation via minimax entropy
K Saito, D Kim, S Sclaroff, T Darrell, K Saenko
Proceedings of the IEEE/CVF international conference on computer vision …, 2019
Mandati: US National Science Foundation, US Department of Defense
Skipnet: Learning dynamic routing in convolutional networks
X Wang, F Yu, ZY Dou, T Darrell, JE Gonzalez
Proceedings of the European conference on computer vision (ECCV), 409-424, 2018
Mandati: US National Science Foundation
Generating visual explanations
LA Hendricks, Z Akata, M Rohrbach, J Donahue, B Schiele, T Darrell
Computer Vision–ECCV 2016: 14th European Conference, Amsterdam, The …, 2016
Mandati: US National Science Foundation
Learning to reason: End-to-end module networks for visual question answering
R Hu, J Andreas, M Rohrbach, T Darrell, K Saenko
Proceedings of the IEEE international conference on computer vision, 804-813, 2017
Mandati: US National Science Foundation, US Department of Defense
Natural language object retrieval
R Hu, H Xu, M Rohrbach, J Feng, K Saenko, T Darrell
Proceedings of the IEEE conference on computer vision and pattern …, 2016
Mandati: US National Science Foundation
Grounding of textual phrases in images by reconstruction
A Rohrbach, M Rohrbach, R Hu, T Darrell, B Schiele
Computer Vision–ECCV 2016: 14th European Conference, Amsterdam, The …, 2016
Mandati: US National Science Foundation
Speaker-follower models for vision-and-language navigation
D Fried, R Hu, V Cirik, A Rohrbach, J Andreas, LP Morency, ...
Advances in neural information processing systems 31, 2018
Mandati: US National Science Foundation, US Department of Defense
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