| 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 | 41952 | 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 | 23006 | 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 | 2665 | 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 | 932 | 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 | 812 | 2015 |
| Learning Deep Representations of Fine-grained Visual Descriptions S Reed, Z Akata, B Schiele, H Lee IEEE Computer Vision and Pattern Recognition, 2016 | 734 | 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 | 596 | 2016 |
| Scalable, High-Quality Object Detection C Szegedy, S Reed, D Erhan, D Anguelov ArXiv e-prints, 2014 | 459 | 2014 |
| Neural Programmer-Interpreters S Reed, N de Freitas International Conference on Learning Representations, 2016 | 453 | 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 | 382 | 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 | 327 | 2015 |
| Deep visual analogy-making SE Reed, Y Zhang, Y Zhang, H Lee Advances in neural information processing systems 28, 2015 | 275 | 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 | 256 | 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 | 220 | 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 | 180 | 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 | 174 | 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 | 166 | 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 | 157 | 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 | 129 | 2014 |
| Computer Vision—ECCV 2016 W Liu, D Anguelov, D Erhan, C Szegedy, S Reed, CY Fu, AC Berg Lecture Notes in Computer Science 9905, 21-37, 2016 | 102 | 2016 |
Dragomir AnguelovDistinguished Researcher, Waymocs.stanford.edu의 이메일 확인됨
