Seuraa
Manolis Savva
Manolis Savva
Simon Fraser University
Vahvistettu sähköpostiosoite verkkotunnuksessa sfu.ca - Kotisivu
Nimike
Viittaukset
Viittaukset
Vuosi
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
60822015
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
44052017
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
20222017
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
14652019
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
14112017
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
8022019
On evaluation of embodied navigation agents
P Anderson, A Chang, DS Chaplot, A Dosovitskiy, S Gupta, V Koltun, ...
arXiv preprint arXiv:1807.06757, 2018
7722018
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
5012021
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
4902019
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
4162012
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
3532011
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
3362021
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
3192017
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
3172010
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
2792017
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
2722019
Deep Convolutional Priors for Indoor Scene Synthesis
K Wang, M Savva, AX Chang, D Ritchie
2592018
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
2572019
Characterizing structural relationships in scenes using graph kernels
M Fisher, M Savva, P Hanrahan
ACM SIGGRAPH 2011 papers, 1-12, 2011
2502011
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
2272020
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Artikkelit 1–20