Scott Reed
Scott Reed
Research Scientist, Google DeepMind
Verified email at google.com - Homepage
Title
Cited by
Cited by
Year
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
302032015
Ssd: Single shot multibox detector
W Liu, D Anguelov, D Erhan, C Szegedy, S Reed, CY Fu, AC Berg
European conference on computer vision, 21-37, 2016
142442016
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
19802016
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
7332015
Learning Deep Representations of Fine-grained Visual Descriptions
S Reed, Z Akata, B Schiele, H Lee
IEEE Computer Vision and Pattern Recognition, 2016
5572016
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
5312015
Learning what and where to draw
S Reed, Z Akata, S Mohan, S Tenka, B Schiele, H Lee
arXiv preprint arXiv:1610.02454, 2016
4252016
Scalable, High-Quality Object Detection
C Szegedy, S Reed, D Erhan, D Anguelov
ArXiv e-prints, 2014
3942014
Neural Programmer-Interpreters
S Reed, N de Freitas
International Conference on Learning Representations, 2016
3782016
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, 1099-1107, 2015
2932015
Deep visual analogy-making
SE Reed, Y Zhang, Y Zhang, H Lee
Advances in neural information processing systems 28, 1252-1260, 2015
2372015
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
2222014
Proceedings of the IEEE conference on computer vision and pattern recognition
C Szegedy, V Vanhoucke, S Ioffe, J Shlens, Z Wojna
IEEE, 2015
1892015
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
1392018
Parallel multiscale autoregressive density estimation
S Reed, A Oord, N Kalchbrenner, SG Colmenarejo, Z Wang, Y Chen, ...
International Conference on Machine Learning, 2912-2921, 2017
1352017
Robust imitation of diverse behaviors
Z Wang, J Merel, S Reed, G Wayne, N de Freitas, N Heess
arXiv preprint arXiv:1707.02747, 2017
1222017
Neural arithmetic logic units
A Trask, F Hill, S Reed, J Rae, C Dyer, P Blunsom
arXiv preprint arXiv:1808.00508, 2018
1112018
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, 2014
1002014
Going deeper with convolutions. 2014
C Szegedy, W Liu, Y Jia, P Sermanet, S Reed, D Anguelov, D Erhan, ...
arXiv preprint arXiv:1409.4842, 1409, 2014
862014
Going deeper with convolutions. CoRR abs/1409.4842 (2014)
C Szegedy, W Liu, Y Jia, P Sermanet, SE Reed, D Anguelov, D Erhan, ...
arXiv preprint arXiv:1409.4842, 2014
712014
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