| Learning deep features for discriminative localization B Zhou, A Khosla, A Lapedriza, A Oliva, A Torralba Proceedings of the IEEE conference on computer vision and pattern …, 2016 | 12262 | 2016 |
| Places: A 10 million image database for scene recognition B Zhou, A Lapedriza, A Khosla, A Oliva, A Torralba IEEE transactions on pattern analysis and machine intelligence 40 (6), 1452-1464, 2017 | 4793 | 2017 |
| Learning Deep Features for Scene Recognition using Places Database B Zhou, A Lapedriza, J Xiao, A Torralba, A Oliva NIPS, 2014 | 3788 | 2014 |
| Scene parsing through ade20k dataset B Zhou, H Zhao, X Puig, S Fidler, A Barriuso, A Torralba Proceedings of the IEEE conference on computer vision and pattern …, 2017 | 3610 | 2017 |
| Unified perceptual parsing for scene understanding T Xiao, Y Liu, B Zhou, Y Jiang, J Sun European Conference on Computer Vision, 2018 | 2014 | 2018 |
| Semantic understanding of scenes through the ADE20K dataset B Zhou, H Zhao, X Puig, T Xiao, S Fidler, A Barriuso, A Torralba International Journal on Computer Vision, 2018 | 1997 | 2018 |
| Network dissection: Quantifying interpretability of deep visual representations D Bau, B Zhou, A Khosla, A Oliva, A Torralba Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2017 | 1800 | 2017 |
| Object detectors emerge in deep scene cnns B Zhou, A Khosla, A Lapedriza, A Oliva, A Torralba International Conference on Learning Representations (ICLR) 2015, 2014 | 1525 | 2014 |
| Temporal relational reasoning in videos B Zhou, A Andonian, A Oliva, A Torralba European Conference on Computer Vision, 2018 | 1291 | 2018 |
| Interpreting the latent space of gans for semantic face editing Y Shen, J Gu, X Tang, B Zhou Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2020 | 1230 | 2020 |
| In-domain gan inversion for real image editing J Zhu, Y Shen, D Zhao, B Zhou European Conference on Computer Vision (ECCV), 2020 | 718 | 2020 |
| Moments in time dataset: one million videos for event understanding M Monfort, A Andonian, B Zhou, K Ramakrishnan, SA Bargal, T Yan, ... IEEE transactions on pattern analysis and machine intelligence 42 (2), 502-508, 2019 | 667 | 2019 |
| Closed-form factorization of latent semantics in gans Y Shen, B Zhou Proceedings of the IEEE/CVF conference on computer vision and pattern …, 2021 | 641 | 2021 |
| InterFaceGAN: Interpreting the Disentangled Face Representation Learned by GANs Y Shen, C Yang, X Tang, B Zhou IEEE Transactions on Pattern Analysis and Machine Intelligence, 2020 | 631 | 2020 |
| Gan dissection: Visualizing and understanding generative adversarial networks D Bau, JY Zhu, H Strobelt, B Zhou, JB Tenenbaum, WT Freeman, ... arXiv preprint arXiv:1811.10597, 2018 | 621 | 2018 |
| Scene graph generation from objects, phrases and region captions Y Li, W Ouyang, B Zhou, K Wang, X Wang Proceedings of the IEEE international conference on computer vision, 1261-1270, 2017 | 600 | 2017 |
| Gan inversion: A survey W Xia, Y Zhang, Y Yang, JH Xue, B Zhou, MH Yang IEEE transactions on pattern analysis and machine intelligence 45 (3), 3121-3138, 2022 | 597 | 2022 |
| Measuring human perceptions of a large-scale urban region using machine learning F Zhang, B Zhou, L Liu, Y Liu, HH Fung, H Lin, C Ratti Landscape and Urban Planning 180, 148-160, 2018 | 533 | 2018 |
| Understanding the role of individual units in a deep neural network D Bau, JY Zhu, H Strobelt, A Lapedriza, B Zhou, A Torralba Proceedings of the National Academy of Sciences 117 (48), 30071-30078, 2020 | 513 | 2020 |
| Temporal pyramid network for action recognition C Yang, Y Xu, J Shi, B Dai, B Zhou Proceedings of the IEEE/CVF conference on computer vision and pattern …, 2020 | 471 | 2020 |
Antonio TorralbaProfessor of Computer Science, MIT在 csail.mit.edu 的电子邮件经过验证
