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
232972015
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
96712016
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
15822016
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
5722015
Learning Deep Representations of Fine-grained Visual Descriptions
S Reed, Z Akata, B Schiele, H Lee
IEEE Computer Vision and Pattern Recognition, 2016
4022016
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
3932015
Learning what and where to draw
SE Reed, Z Akata, S Mohan, S Tenka, B Schiele, H Lee
Advances in neural information processing systems, 217-225, 2016
3402016
Scalable, High-Quality Object Detection
C Szegedy, S Reed, D Erhan, D Anguelov
ArXiv e-prints, 2014
3402014
Neural Programmer-Interpreters
S Reed, N de Freitas
International Conference on Learning Representations, 2016
3242016
Very deep convolutional networks for large-scale image recognition
S Karen, A Zisserman
arXiv preprint arXiv:1409.1556 1 (2), 2014
3182014
Weakly-supervised disentangling with recurrent transformations for 3d view synthesis
J Yang, SE Reed, MH Yang, H Lee
Advances in Neural Information Processing Systems, 1099-1107, 2015
2322015
Deep visual analogy-making
SE Reed, Y Zhang, Y Zhang, H Lee
Advances in neural information processing systems, 1252-1260, 2015
1862015
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
1792014
Parallel multiscale autoregressive density estimation
S Reed, A Oord, N Kalchbrenner, SG Colmenarejo, Z Wang, D Belov, ...
arXiv preprint arXiv:1703.03664, 2017
1002017
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
952018
Robust imitation of diverse behaviors
Z Wang, JS Merel, SE Reed, N de Freitas, G Wayne, N Heess
Advances in Neural Information Processing Systems, 5320-5329, 2017
912017
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, ...
IEEE, 2015
892015
Neural arithmetic logic units
A Trask, F Hill, SE Reed, J Rae, C Dyer, P Blunsom
Advances in Neural Information Processing Systems, 8035-8044, 2018
662018
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
562014
Few-shot autoregressive density estimation: Towards learning to learn distributions
S Reed, Y Chen, T Paine, A Oord, SM Eslami, D Rezende, O Vinyals, ...
arXiv preprint arXiv:1710.10304, 2017
412017
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