Manolis Savva
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
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
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
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
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
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
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
On evaluation of embodied navigation agents
P Anderson, A Chang, DS Chaplot, A Dosovitskiy, S Gupta, V Koltun, ...
arXiv preprint arXiv:1807.06757, 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
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
Characterizing structural relationships in scenes using graph kernels
M Fisher, M Savva, P Hanrahan
ACM SIGGRAPH 2011 papers, 1-12, 2011
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
Learning spatial knowledge for text to 3D scene generation
A Chang, M Savva, CD Manning
Proceedings of the 2014 Conference on Empirical Methods in Natural Language …, 2014
Shrec16 track: largescale 3d shape retrieval from shapenet core55
M Savva, F Yu, H Su, M Aono, B Chen, D Cohen-Or, W Deng, H Su, S Bai, ...
Proceedings of the eurographics workshop on 3D object retrieval 10, 2016
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
Deep Convolutional Priors for Indoor Scene Synthesis
K Wang, M Savva, AX Chang, D Ritchie
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
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
SceneGrok: Inferring action maps in 3D environments
M Savva, AX Chang, P Hanrahan, M Fisher, M Nießner
ACM transactions on graphics (TOG) 33 (6), 1-10, 2014
Text to 3d scene generation with rich lexical grounding
A Chang, W Monroe, M Savva, C Potts, CD Manning
arXiv preprint arXiv:1505.06289, 2015
文章 1–20