| 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 | 28614 | 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 | 13222 | 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 | 1902 | 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 | 704 | 2015 |
| Learning Deep Representations of Fine-grained Visual Descriptions S Reed, Z Akata, B Schiele, H Lee IEEE Computer Vision and Pattern Recognition, 2016 | 523 | 2016 |
| 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 | 501 | 2015 |
| Learning what and where to draw S Reed, Z Akata, S Mohan, S Tenka, B Schiele, H Lee arXiv preprint arXiv:1610.02454, 2016 | 413 | 2016 |
| Scalable, High-Quality Object Detection C Szegedy, S Reed, D Erhan, D Anguelov ArXiv e-prints, 2014 | 389 | 2014 |
| Neural Programmer-Interpreters S Reed, N de Freitas International Conference on Learning Representations, 2016 | 366 | 2016 |
| Weakly-supervised disentangling with recurrent transformations for 3d view synthesis J Yang, S Reed, MH Yang, H Lee arXiv preprint arXiv:1601.00706, 2016 | 284 | 2016 |
| Deep visual analogy-making SE Reed, Y Zhang, Y Zhang, H Lee Advances in neural information processing systems 28, 1252-1260, 2015 | 234 | 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 | 208 | 2014 |
| Proceedings of the IEEE conference on computer vision and pattern recognition C Szegedy, V Vanhoucke, S Ioffe, J Shlens, Z Wojna IEEE, 2015 | 162 | 2015 |
| 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 | 128 | 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 | 128 | 2017 |
| Robust imitation of diverse behaviors Z Wang, J Merel, S Reed, G Wayne, N de Freitas, N Heess arXiv preprint arXiv:1707.02747, 2017 | 114 | 2017 |
| Neural arithmetic logic units A Trask, F Hill, S Reed, J Rae, C Dyer, P Blunsom arXiv preprint arXiv:1808.00508, 2018 | 102 | 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, 2014 | 98 | 2014 |
| 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 | 84 | 2014 |
| 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 | 68 | 2014 |
Christian SzegedyGoogle ResearchVerified email at google.com
