| 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 | 653 | 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 | 564 | 2018 |
| 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 | 205 | 2018 |
| Dog breed classification using part localization J Liu, A Kanazawa, D Jacobs, P Belhumeur European conference on computer vision, 172-185, 2012 | 189 | 2012 |
| Scale-invariant convolutional neural networks Y Xu, T Xiao, J Zhang, K Yang, Z Zhang arXiv preprint arXiv:1411.6369, 2014 | 151 | 2014 |
| 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 International Conference on Computer Vision, 2304-2314, 2019 | 147 | 2019 |
| 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 | 126 | 2018 |
| 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 | 126 | 2016 |
| Learning 3d human dynamics from video A Kanazawa, JY Zhang, P Felsen, J Malik Proceedings of the IEEE Conference on Computer Vision and Pattern …, 2019 | 114 | 2019 |
| 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 | 84 | 2018 |
| 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 | 84 | 2017 |
| 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 | 81 | 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 | 75 | 2017 |
| 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 | 39 | 2018 |
| Predicting 3d human dynamics from video JY Zhang, P Felsen, A Kanazawa, J Malik Proceedings of the IEEE International Conference on Computer Vision, 7114-7123, 2019 | 31* | 2019 |
| Three-D Safari: Learning to Estimate Zebra Pose, Shape, and Texture from Images “In the Wild” S Zuffi, A Kanazawa, T Berger-Wolf, M Black 2019 IEEE/CVF International Conference on Computer Vision (ICCV), 5358-5367, 2019 | 26 | 2019 |
| Learning 3d deformation of animals from 2d images A Kanazawa, S Kovalsky, R Basri, D Jacobs Computer Graphics Forum 35 (2), 365-374, 2016 | 24 | 2016 |
| Affordance of object parts from geometric features A Myers, A Kanazawa, C Fermuller, Y Aloimonos Workshop on Vision meets Cognition, CVPR 9, 2014 | 17 | 2014 |
| Perceiving 3d human-object spatial arrangements from a single image in the wild JY Zhang, S Pepose, H Joo, D Ramanan, J Malik, A Kanazawa European Conference on Computer Vision, 34-51, 2020 | 4 | 2020 |
| Shape and viewpoint without keypoints S Goel, A Kanazawa, J Malik European Conference on Computer Vision, 88-104, 2020 | 3 | 2020 |
Michael J. BlackMax Planck Institute for Intelligent Systems and AmazonVerified email at tuebingen.mpg.de
