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Scott Reed
Scott Reed
Research Scientist, NVIDIA Research
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Leto
Going deeper with convolutions
C Szegedy, W Liu, Y Jia, P Sermanet, S Reed, D Anguelov, D Erhan, ...
Proceedings of the IEEE conference on computer vision and pattern …, 2015
654072015
Ssd: Single shot multibox detector
W Liu, D Anguelov, D Erhan, C Szegedy, S Reed, CY Fu, AC Berg
Computer Vision–ECCV 2016: 14th European Conference, Amsterdam, The …, 2016
448672016
Generative Adversarial Text-to-Image Synthesis
S Reed, Z Akata, X Yan, L Logeswaran, B Schiele, H Lee
Proceedings of The 33rd International Conference on Machine Learning, 2016
42962016
Evaluation of Output Embeddings for Fine-Grained Image Classification
Z Akata, S Reed, D Walter, H Lee, B Schiele
IEEE Computer Vision and Pattern Recognition, 2015
12722015
Training Deep Neural Networks on Noisy Labels with Bootstrapping
S Reed, H Lee, D Anguelov, C Szegedy, D Erhan, A Rabinovich
ArXiv e-prints, 2015
12452015
Learning Deep Representations of Fine-grained Visual Descriptions
S Reed, Z Akata, B Schiele, H Lee
IEEE Computer Vision and Pattern Recognition, 2016
10792016
A Generalist Agent
S Reed, K Zolna, E Parisotto, SG Colmenarejo, A Novikov, G Barth-Maron, ...
Transactions on Machine Learning Research, 2022
10322022
Proceedings of the IEEE conference on computer vision and pattern recognition
C Szegedy, W Liu, Y Jia, P Sermanet, S Reed, D Anguelov, D Erhan, ...
Going deeper with convolutions, 1-9, 2015
9872015
Learning what and where to draw
SE Reed, Z Akata, S Mohan, S Tenka, B Schiele, H Lee
Advances in neural information processing systems 29, 2016
9432016
Leibe B, Matas J, Sebe N, Welling M, et al. SSD: single shot multibox detector
W Liu, D Anguelov, D Erhan, C Szegedy, S Reed, CY Fu, AC Berg
Computer Vision–ECCV 2016, 21-37, 2016
8512016
Scalable, High-Quality Object Detection
C Szegedy, S Reed, D Erhan, D Anguelov
ArXiv e-prints, 2014
5652014
Neural Programmer-Interpreters
S Reed, N de Freitas
International Conference on Learning Representations, 2016
5312016
Deep visual analogy-making
SE Reed, Y Zhang, Y Zhang, H Lee
Advances in neural information processing systems 28, 2015
3802015
Weakly-supervised disentangling with recurrent transformations for 3d view synthesis
J Yang, SE Reed, MH Yang, H Lee
Advances in neural information processing systems 28, 2015
3722015
Critic regularized regression
Z Wang, A Novikov, K Zolna, JS Merel, JT Springenberg, SE Reed, ...
Advances in Neural Information Processing Systems 33, 7768-7778, 2020
3622020
Scancomplete: Large-scale scene completion and semantic segmentation for 3d scans
A Dai, D Ritchie, M Bokeloh, S Reed, J Sturm, M Nießner
Proceedings of the IEEE Conference on Computer Vision and Pattern …, 2018
3612018
Going deeper with convolutions. arXiv 2014
C Szegedy, W Liu, Y Jia, P Sermanet, S Reed, D Anguelov, D Erhan, ...
arXiv preprint arXiv:1409.4842 1409, 2015
3142015
Learning to Disentangle Factors of Variation with Manifold Interaction
S Reed, K Sohn, Y Zhang, H Lee
Proceedings of the 31st International Conference on Machine Learning …, 2014
2932014
Computer vision—ECCV 2016
W Liu, D Anguelov, D Erhan, C Szegedy, S Reed, CY Fu, AC Berg
Proceedings of the 14th European Conference, Amsterdam, The Netherlands, 11-14, 2016
2762016
Going deeper with convolutions (2014)
C Szegedy, W Liu, Y Jia, P Sermanet, S Reed, D Anguelov, D Erhan, ...
arXiv preprint arXiv:1409.4842 10, 2014
2722014
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