| 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 | 40891 | 2015 |
| 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 | 22214 | 2016 |
| 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 | 2610 | 2016 |
| 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 | 921 | 2015 |
| 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 | 784 | 2015 |
| Learning Deep Representations of Fine-grained Visual Descriptions S Reed, Z Akata, B Schiele, H Lee IEEE Computer Vision and Pattern Recognition, 2016 | 724 | 2016 |
| 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 | 584 | 2016 |
| Scalable, High-Quality Object Detection C Szegedy, S Reed, D Erhan, D Anguelov ArXiv e-prints, 2014 | 455 | 2014 |
| Neural Programmer-Interpreters S Reed, N de Freitas International Conference on Learning Representations, 2016 | 446 | 2016 |
| European conference on computer vision W Liu, D Anguelov, D Erhan, C Szegedy, S Reed, CY Fu, AC Berg Face detection with end-to-end integration of a convnet and a 3d model, 2016 | 354 | 2016 |
| 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 | 322 | 2015 |
| Deep visual analogy-making SE Reed, Y Zhang, Y Zhang, H Lee Advances in neural information processing systems 28, 2015 | 270 | 2015 |
| 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 | 250 | 2014 |
| 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 | 214 | 2018 |
| 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 | 178 | 2017 |
| Robust imitation of diverse behaviors Z Wang, JS Merel, SE Reed, N de Freitas, G Wayne, N Heess Advances in Neural Information Processing Systems 30, 2017 | 173 | 2017 |
| Neural arithmetic logic units A Trask, F Hill, SE Reed, J Rae, C Dyer, P Blunsom Advances in neural information processing systems 31, 2018 | 161 | 2018 |
| 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 | 153 | 2015 |
| 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 | 126 | 2014 |
| Sample efficient adaptive text-to-speech Y Chen, Y Assael, B Shillingford, D Budden, S Reed, H Zen, Q Wang, ... arXiv preprint arXiv:1809.10460, 2018 | 95 | 2018 |
Dragomir AnguelovDistinguished Researcher, Waymo在 cs.stanford.edu 的电子邮件经过验证
