Articles with public access mandates - Antonio Torralba - US National Science FoundationLearn more
NoteFor this mandate, articles should be available from specific locations.
Not available based on mandate: 17
Semantic understanding of scenes through the ade20k dataset
B Zhou, H Zhao, X Puig, T Xiao, S Fidler, A Barriuso, A Torralba
International Journal of Computer Vision 127, 302-321, 2019
What do different evaluation metrics tell us about saliency models?
Z Bylinskii, T Judd, A Oliva, A Torralba, F Durand
IEEE transactions on pattern analysis and machine intelligence 41 (3), 740-757, 2018
Gan dissection: Visualizing and understanding generative adversarial networks
D Bau, JY Zhu, H Strobelt, B Zhou, JB Tenenbaum, WT Freeman, ...
arXiv preprint arXiv:1811.10597, 2018
Ambient sound provides supervision for visual learning
A Owens, J Wu, JH McDermott, WT Freeman, A Torralba
Computer Vision–ECCV 2016: 14th European Conference, Amsterdam, The …, 2016
Sun database: Exploring a large collection of scene categories
J Xiao, KA Ehinger, J Hays, A Torralba, A Oliva
International Journal of Computer Vision 119, 3-22, 2016
Single image 3d interpreter network
J Wu, T Xue, JJ Lim, Y Tian, JB Tenenbaum, A Torralba, WT Freeman
Computer Vision–ECCV 2016: 14th European Conference, Amsterdam, The …, 2016
Compositional visual generation with composable diffusion models
N Liu, S Li, Y Du, A Torralba, JB Tenenbaum
European Conference on Computer Vision, 423-439, 2022
Where should saliency models look next?
Z Bylinskii, A Recasens, A Borji, A Oliva, A Torralba, F Durand
Computer Vision–ECCV 2016: 14th European Conference, Amsterdam, The …, 2016
Propagation networks for model-based control under partial observation
Y Li, J Wu, JY Zhu, JB Tenenbaum, A Torralba, R Tedrake
2019 International Conference on Robotics and Automation (ICRA), 1205-1211, 2019
Foley music: Learning to generate music from videos
C Gan, D Huang, P Chen, JB Tenenbaum, A Torralba
Computer Vision–ECCV 2020: 16th European Conference, Glasgow, UK, August 23 …, 2020
Rewriting a deep generative model
D Bau, S Liu, T Wang, JY Zhu, A Torralba
Computer Vision–ECCV 2020: 16th European Conference, Glasgow, UK, August 23 …, 2020
Learning sight from sound: Ambient sound provides supervision for visual learning
A Owens, J Wu, JH McDermott, WT Freeman, A Torralba
International Journal of Computer Vision 126, 1120-1137, 2018
Visualizing object detection features
C Vondrick, A Khosla, H Pirsiavash, T Malisiewicz, A Torralba
International Journal of Computer Vision 119, 145-158, 2016
Deep audio priors emerge from harmonic convolutional networks
Z Zhang, Y Wang, C Gan, J Wu, JB Tenenbaum, A Torralba, WT Freeman
International conference on learning representations, 2019
3D interpreter networks for viewer-centered wireframe modeling
J Wu, T Xue, JJ Lim, Y Tian, JB Tenenbaum, A Torralba, WT Freeman
International Journal of Computer Vision 126, 1009-1026, 2018
Totems: Physical objects for verifying visual integrity
J Ma, L Chai, M Huh, T Wang, SN Lim, P Isola, A Torralba
European Conference on Computer Vision, 164-180, 2022
Open: An open-ended physics environment for learning without a task
C Gan, A Bhandwaldar, A Torralba, JB Tenenbaum, P Isola
2021 IEEE/RSJ International Conference on Intelligent Robots and Systems …, 2021
Available based on mandate: 38
Learning deep features for discriminative localization
B Zhou, A Khosla, A Lapedriza, A Oliva, A Torralba
Proceedings of the IEEE conference on computer vision and pattern …, 2016
Places: A 10 million image database for scene recognition
B Zhou, A Lapedriza, A Khosla, A Oliva, A Torralba
IEEE transactions on pattern analysis and machine intelligence 40 (6), 1452-1464, 2017
Scene parsing through ade20k dataset
B Zhou, H Zhao, X Puig, S Fidler, A Barriuso, A Torralba
Proceedings of the IEEE conference on computer vision and pattern …, 2017
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