| Shapenet: An information-rich 3d model repository AX Chang, T Funkhouser, L Guibas, P Hanrahan, Q Huang, Z Li, ... arXiv preprint arXiv:1512.03012, 2015 | 6289 | 2015 |
| Scannet: Richly-annotated 3d reconstructions of indoor scenes A Dai, AX Chang, M Savva, M Halber, T Funkhouser, M Nießner Proceedings of the IEEE conference on computer vision and pattern …, 2017 | 4596 | 2017 |
| Matterport3d: Learning from rgb-d data in indoor environments A Chang, A Dai, T Funkhouser, M Halber, M Niessner, M Savva, S Song, ... arXiv preprint arXiv:1709.06158, 2017 | 2114 | 2017 |
| Habitat: A platform for embodied ai research M Savva, A Kadian, O Maksymets, Y Zhao, E Wijmans, B Jain, J Straub, ... Proceedings of the IEEE/CVF international conference on computer vision …, 2019 | 1544 | 2019 |
| Semantic scene completion from a single depth image S Song, F Yu, A Zeng, AX Chang, M Savva, T Funkhouser Proceedings of the IEEE conference on computer vision and pattern …, 2017 | 1443 | 2017 |
| The Replica dataset: A digital replica of indoor spaces J Straub, T Whelan, L Ma, Y Chen, E Wijmans, S Green, JJ Engel, ... arXiv preprint arXiv:1906.05797, 2019 | 861 | 2019 |
| On evaluation of embodied navigation agents P Anderson, A Chang, DS Chaplot, A Dosovitskiy, S Gupta, V Koltun, ... arXiv preprint arXiv:1807.06757, 2018 | 807 | 2018 |
| Habitat 2.0: Training home assistants to rearrange their habitat A Szot, A Clegg, E Undersander, E Wijmans, Y Zhao, J Turner, N Maestre, ... Advances in neural information processing systems 34, 251-266, 2021 | 530 | 2021 |
| Dd-ppo: Learning near-perfect pointgoal navigators from 2.5 billion frames E Wijmans, A Kadian, A Morcos, S Lee, I Essa, D Parikh, M Savva, ... arXiv preprint arXiv:1911.00357, 2019 | 518 | 2019 |
| Example-based synthesis of 3D object arrangements M Fisher, D Ritchie, M Savva, T Funkhouser, P Hanrahan ACM Transactions on Graphics (TOG) 31 (6), 1-11, 2012 | 419 | 2012 |
| Habitat-matterport 3d dataset (hm3d): 1000 large-scale 3d environments for embodied ai SK Ramakrishnan, A Gokaslan, E Wijmans, O Maksymets, A Clegg, ... arXiv preprint arXiv:2109.08238, 2021 | 374 | 2021 |
| Revision: Automated classification, analysis and redesign of chart images M Savva, N Kong, A Chhajta, L Fei-Fei, M Agrawala, J Heer Proceedings of the 24th annual ACM symposium on User interface software and …, 2011 | 361 | 2011 |
| Physically-based rendering for indoor scene understanding using convolutional neural networks Y Zhang, S Song, E Yumer, M Savva, JY Lee, H Jin, T Funkhouser Proceedings of the IEEE Conference on Computer Vision and Pattern …, 2017 | 322 | 2017 |
| Back-action-evading measurements of nanomechanical motion JB Hertzberg, T Rocheleau, T Ndukum, M Savva, AA Clerk, KC Schwab Nature Physics 6 (3), 213-217, 2010 | 320 | 2010 |
| MINOS: Multimodal indoor simulator for navigation in complex environments M Savva, AX Chang, A Dosovitskiy, T Funkhouser, V Koltun arXiv preprint arXiv:1712.03931, 2017 | 287 | 2017 |
| Scan2cad: Learning cad model alignment in rgb-d scans A Avetisyan, M Dahnert, A Dai, M Savva, AX Chang, M Nießner Proceedings of the IEEE/CVF Conference on computer vision and pattern …, 2019 | 280 | 2019 |
| Deep Convolutional Priors for Indoor Scene Synthesis K Wang, M Savva, AX Chang, D Ritchie | 268 | 2018 |
| Text2shape: Generating shapes from natural language by learning joint embeddings K Chen, CB Choy, M Savva, AX Chang, T Funkhouser, S Savarese Computer Vision–ACCV 2018: 14th Asian Conference on Computer Vision, Perth …, 2019 | 263 | 2019 |
| Characterizing structural relationships in scenes using graph kernels M Fisher, M Savva, P Hanrahan ACM SIGGRAPH 2011 papers, 1-12, 2011 | 251 | 2011 |
| Objectnav revisited: On evaluation of embodied agents navigating to objects D Batra, A Gokaslan, A Kembhavi, O Maksymets, R Mottaghi, M Savva, ... arXiv preprint arXiv:2006.13171, 2020 | 235 | 2020 |
Angel ChangSimon Fraser UniversityVerified email at cs.stanford.edu
