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Justin Johnson
Justin Johnson
Assistant Professor, University of Michigan; Research Scientist, Meta AI
Zweryfikowany adres z umich.edu - Strona główna
Tytuł
Cytowane przez
Cytowane przez
Rok
Perceptual losses for real-time style transfer and super-resolution
J Johnson, A Alahi, L Fei-Fei
Computer Vision–ECCV 2016: 14th European Conference, Amsterdam, The …, 2016
93382016
Visual genome: Connecting language and vision using crowdsourced dense image annotations
R Krishna, Y Zhu, O Groth, J Johnson, K Hata, J Kravitz, S Chen, ...
International journal of computer vision 123, 32-73, 2017
41562017
CLEVR: A diagnostic dataset for compositional language and elementary visual reasoning
J Johnson, B Hariharan, L van der Maaten, L Fei-Fei, C Lawrence Zitnick, ...
Proceedings of the IEEE Conference on Computer Vision and Pattern …, 2017
18462017
Social GAN: Socially acceptable trajectories with generative adversarial networks
A Gupta, J Johnson, L Fei-Fei, S Savarese, A Alahi
Proceedings of the IEEE Conference on Computer Vision and Pattern …, 2018
15242018
Visualizing and understanding recurrent networks
A Karpathy, J Johnson, L Fei-Fei
arXiv preprint arXiv:1506.02078, 2015
12892015
DenseCap: Fully convolutional localization networks for dense captioning
J Johnson, A Karpathy, L Fei-Fei
Proceedings of the IEEE Conference on Computer Vision and Pattern …, 2016
12552016
Image retrieval using scene graphs
J Johnson, R Krishna, M Stark, LJ Li, D Shamma, M Bernstein, L Fei-Fei
Proceedings of the IEEE conference on computer vision and pattern …, 2015
9702015
Image generation from scene graphs
J Johnson, A Gupta, L Fei-Fei
Proceedings of the IEEE Conference on Computer Vision and Pattern …, 2018
7112018
Inferring and executing programs for visual reasoning
J Johnson, B Hariharan, L Van Der Maaten, J Hoffman, L Fei-Fei, ...
Proceedings of the IEEE international conference on computer vision, 2989-2998, 2017
5342017
Accelerating 3D Deep Learning with PyTorch3D
N Ravi, J Reizenstein, D Novotny, T Gordon, WY Lo, J Johnson, ...
arXiv preprint arXiv:2007.08501, 2020
509*2020
HiDDeN: Hiding data with deep networks
J Zhu, R Kaplan, J Johnson, L Fei-Fei
Proceedings of the European Conference on Computer Vision (ECCV), 657-672, 2018
4442018
Mesh R-CNN
G Gkioxari, J Malik, J Johnson
Proceedings of the IEEE International Conference on Computer Vision, 9785-9795, 2019
4122019
A hierarchical approach for generating descriptive image paragraphs
J Krause, J Johnson, R Krishna, L Fei-Fei
Proceedings of the IEEE conference on computer vision and pattern …, 2017
3412017
VirTex: Learning visual representations from textual annotations
K Desai, J Johnson
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2021
2782021
SynSin: End-to-end View Synthesis from a Single Image
O Wiles, G Gkioxari, R Szeliski, J Johnson
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2020
2562020
Love thy neighbors: Image annotation by exploiting image metadata
J Johnson, L Ballan, L Fei-Fei
Proceedings of the IEEE international conference on computer vision, 4624-4632, 2015
1462015
Characterizing and improving stability in neural style transfer
A Gupta, J Johnson, A Alahi, L Fei-Fei
Proceedings of the IEEE International Conference on Computer Vision, 4067-4076, 2017
1232017
Convolutional neural networks for visual recognition
FF Li, A Karpathy, J Johnson
Available in http://cs231n. github. io/convolutional-networks, 2015
121*2015
On network design spaces for visual recognition
I Radosavovic, J Johnson, S Xie, WY Lo, P Dollár
Proceedings of the IEEE/CVF international conference on computer vision …, 2019
1122019
PHYRE: A new benchmark for physical reasoning
A Bakhtin, L van der Maaten, J Johnson, L Gustafson, R Girshick
Advances in Neural Information Processing Systems, 5083-5094, 2019
952019
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