| 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 | 8416 | 2015 |
| Scannet: Richly-annotated 3d reconstructions of indoor scenes A Dai, AX Chang, M Savva, M Halber, T Funkhouser, M Nießner 2017 IEEE conference on computer vision and pattern recognition (CVPR), 2432 …, 2017 | 7548 | 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 | 3326 | 2017 |
| Habitat: A platform for embodied ai research M Savva, A Kadian, O Maksymets, Y Zhao, E Wijmans, B Jain, J Straub, ... 2019 IEEE/CVF International Conference on Computer Vision (ICCV), 9338-9346, 2019 | 2666 | 2019 |
| Semantic scene completion from a single depth image S Song, F Yu, A Zeng, AX Chang, M Savva, T Funkhouser 2017 IEEE conference on computer vision and pattern recognition (CVPR), 190-198, 2017 | 1792 | 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 | 1738 | 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 | 1210 | 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 | 1016 | 2021 |
| 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 | 996 | 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 | 824 | 2019 |
| Ego-exo4d: Understanding skilled human activity from first-and third-person perspectives K Grauman, A Westbury, L Torresani, K Kitani, J Malik, T Afouras, ... Proceedings of the IEEE/CVF conference on computer vision and pattern …, 2024 | 767 | 2024 |
| 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 | 492 | 2012 |
| 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 | 438 | 2020 |
| 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 | 415 | 2011 |
| Scan2cad: Learning cad model alignment in rgb-d scans A Avetisyan, M Dahnert, A Dai, M Savva, AX Chang, M Nießner 2019 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR …, 2019 | 374 | 2019 |
| Sim2real predictivity: Does evaluation in simulation predict real-world performance? A Kadian, J Truong, A Gokaslan, A Clegg, E Wijmans, S Lee, M Savva, ... IEEE Robotics and Automation Letters 5 (4), 6670-6677, 2020 | 367 | 2020 |
| Text2shape: Generating shapes from natural language by learning joint embeddings K Chen, CB Choy, M Savva, AX Chang, T Funkhouser, S Savarese Asian conference on computer vision, 100-116, 2018 | 358 | 2018 |
| 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 | 348 | 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 | 346 | 2010 |
| Deep Convolutional Priors for Indoor Scene Synthesis K Wang, M Savva, AX Chang, D Ritchie | 345 | 2018 |
Angel ChangSimon Fraser University確認したメール アドレス: sfu.ca
Thomas FunkhouserPrinceton University and Google確認したメール アドレス: cs.princeton.edu
Dhruv BatraYutori | Prev: FAIR (Meta AI), Georgia Tech確認したメール アドレス: dhruvbatra.com
Patrick HanrahanStanford University確認したメール アドレス: cs.stanford.edu
Shuran SongStanford University確認したメール アドレス: stanford.edu
Erik WijmansApple確認したメール アドレス: apple.com
Hao SuProfessor of Computer Science, Fudan University確認したメール アドレス: haosu.ai
Alexander CleggResearch Engineer, SIRo project in FAIR at Meta確認したメール アドレス: fb.com
Oleksandr MaksymetsMSL, GenAI and FAIR @ Meta, Ph.D. in C.S確認したメール アドレス: fb.com
Andy ZengGeneralist確認したメール アドレス: google.com
Daniel RitchieBrown University確認したメール アドレス: brown.edu
Matthew FisherPrincipal Research Scientist, Adobe Research確認したメール アドレス: cs.stanford.edu
Abhishek KadianMeta確認したメール アドレス: meta.com
Jitendra MALIKProfessor of EECS, UC Berkeley確認したメール アドレス: eecs.berkeley.edu
Angela DaiTechnical University of Munich確認したメール アドレス: tum.de
Leonidas GuibasProfessor of Computer Science, Stanford University確認したメール アドレス: cs.stanford.edu