| Keep it SMPL: Automatic estimation of 3D human pose and shape from a single image F Bogo, A Kanazawa, C Lassner, P Gehler, J Romero, MJ Black European conference on computer vision, 561-578, 2016 | 835 | 2016 |
| End-to-end recovery of human shape and pose A Kanazawa, MJ Black, DW Jacobs, J Malik Proceedings of the IEEE conference on computer vision and pattern …, 2018 | 767 | 2018 |
| Pifu: Pixel-aligned implicit function for high-resolution clothed human digitization S Saito, Z Huang, R Natsume, S Morishima, A Kanazawa, H Li Proceedings of the IEEE/CVF International Conference on Computer Vision …, 2019 | 305 | 2019 |
| Learning category-specific mesh reconstruction from image collections A Kanazawa, S Tulsiani, AA Efros, J Malik Proceedings of the European Conference on Computer Vision (ECCV), 371-386, 2018 | 274 | 2018 |
| Dog breed classification using part localization J Liu, A Kanazawa, D Jacobs, P Belhumeur European conference on computer vision, 172-185, 2012 | 222 | 2012 |
| Sfsnet: Learning shape, reflectance and illuminance of facesin the wild' S Sengupta, A Kanazawa, CD Castillo, DW Jacobs Proceedings of the IEEE conference on computer vision and pattern …, 2018 | 180 | 2018 |
| Learning 3d human dynamics from video A Kanazawa, JY Zhang, P Felsen, J Malik Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2019 | 178 | 2019 |
| Warpnet: Weakly supervised matching for single-view reconstruction A Kanazawa, DW Jacobs, M Chandraker Proceedings of the IEEE Conference on Computer Vision and Pattern …, 2016 | 146 | 2016 |
| Sfv: Reinforcement learning of physical skills from videos XB Peng, A Kanazawa, J Malik, P Abbeel, S Levine ACM Transactions On Graphics (TOG) 37 (6), 1-14, 2018 | 111 | 2018 |
| Variational discriminator bottleneck: Improving imitation learning, inverse rl, and gans by constraining information flow XB Peng, A Kanazawa, S Toyer, P Abbeel, S Levine arXiv preprint arXiv:1810.00821, 2018 | 111 | 2018 |
| 3D menagerie: Modeling the 3D shape and pose of animals S Zuffi, A Kanazawa, DW Jacobs, MJ Black Proceedings of the IEEE conference on computer vision and pattern …, 2017 | 111 | 2017 |
| Locally scale-invariant convolutional neural networks A Kanazawa, A Sharma, D Jacobs arXiv preprint arXiv:1412.5104, 2014 | 110 | 2014 |
| Towards accurate marker-less human shape and pose estimation over time Y Huang, F Bogo, C Lassner, A Kanazawa, PV Gehler, J Romero, I Akhter, ... 2017 international conference on 3D vision (3DV), 421-430, 2017 | 108 | 2017 |
| Scale-invariant convolutional neural networks Y Xu, T Xiao, J Zhang, K Yang, Z Zhang arXiv preprint arXiv:1411.6369, 2014 | 103 | 2014 |
| Lions and tigers and bears: Capturing non-rigid, 3d, articulated shape from images S Zuffi, A Kanazawa, MJ Black Proceedings of the IEEE conference on Computer Vision and Pattern …, 2018 | 53 | 2018 |
| Predicting 3d human dynamics from video JY Zhang, P Felsen, A Kanazawa, J Malik Proceedings of the IEEE/CVF International Conference on Computer Vision …, 2019 | 50 | 2019 |
| Three-D Safari: Learning to Estimate Zebra Pose, Shape, and Texture from Images" In the Wild" S Zuffi, A Kanazawa, T Berger-Wolf, MJ Black Proceedings of the IEEE/CVF International Conference on Computer Vision …, 2019 | 48 | 2019 |
| pixelnerf: Neural radiance fields from one or few images A Yu, V Ye, M Tancik, A Kanazawa Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2021 | 41 | 2021 |
| Shape and viewpoint without keypoints S Goel, A Kanazawa, J Malik European Conference on Computer Vision, 88-104, 2020 | 29 | 2020 |
| Learning 3d deformation of animals from 2d images A Kanazawa, S Kovalsky, R Basri, D Jacobs Computer Graphics Forum 35 (2), 365-374, 2016 | 27 | 2016 |
Michael J. BlackMax Planck Institute for Intelligent Systems and AmazonVerified email at tuebingen.mpg.de
