I am an Associate Professor in the School of Computing Science at Simon Fraser University, and Canada Research Chair in Computer Graphics. My research focuses on analysis, organization and generation of 3D content. The methods that I work on are stepping stones towards holistic 3D scene understanding revolving around people, with applications in computer graphics, computer vision, and robotics.

Prior to my current position I was a visiting researcher at Facebook AI Research and a postdoctoral research associate at the Princeton University Computer Graphics and Vision Labs. I received my Ph.D. from Stanford University, under the supervision of Pat Hanrahan. My undergraduate degree was in Physics and Computer Science at Cornell University.

News


May 2024
Tenured and promoted to Associate Professor! I am grateful for all the support by my students, colleagues, and collaborators.
Mar 2024
Three papers at CVPR 2024, two at 3DV 2024, one at WACV 2024, and one Eurographics 2024 STAR.
Congratulations to Jiayi, Ivan, Mukul, Yongsen, Sanjay, Qirui, Xiahao, Hanxiao, Han-Hung, and Sonia!
Jul 2023
New paper on articulated object reconstruction at ICCV 2023. Congratulations to Jiayi!
May 2023
Congratulations to Sanjay and Supriya for defending their MSc theses.
"Emergence of Maps in the Memories of Blind Navigation Agents" receives ICLR 2023 Outstanding Paper Award.
May 2022
I am honored to receive a CHCCS Early Career Researcher Award.
Jan 2022
Congratulations to Jiaqi for defending her MSc thesis!
Oct 2021
Habitat 2.0 to be presented at NeurIPS 2021 as a spotlight! Check out the project at aihabitat.org.
July 2021
Congratulations to Madhawa for defending his MSc thesis!
Paper on communication between embodied AI agents accepted to ICCV 2021. Congratulations to Shivansh, Saim, and Unnat!
More...

Publications


Text-to-3D Shape Generation
Text-to-3D Shape Generation
Han-Hung Lee, Manolis Savva, Angel X. Chang
Eurographics STAR (State of The Art Report), CGF 2024
pdf | webpage
3DSSR: 3D Subscene Retrieval
3DSSR: 3D Subscene Retrieval
Reza Asad, Manolis Savva
CVPR 2023 Workshop on Structural and Compositional Learning on 3D Data
pdf | webpage
Relational Graph Learning for Crowd Navigation
Relational Graph Learning for Crowd Navigation
Changan Chen, Sha Hu, Payam Nikdel, Greg Mori, Manolis Savva
International Conference on Intelligent Robots and Systems (IROS) 2020
pdf | webpage
The Replica Dataset: A Digital Replica of Indoor Spaces
The Replica Dataset: A Digital Replica of Indoor Spaces
Julian Straub, Thomas Whelan, Lingni Ma, Yufan Chen, Erik Wijmans, Simon Green, Jakob J. Engel, Raul Mur-Artal, Carl Ren, Shobhit Verma, Anton Clarkson, Mingfei Yan, Brian Budge, Yajie Yan, Xiaqing Pan, June Yon, Yuyang Zou, Kimberly Leon, Nigel Carter, Jesus Briales, Tyler Gillingham, Elias Mueggler, Luis Pesqueira, Manolis Savva, Dhruv Batra, Hauke M. Strasdat, Renzo De Nardi, Michael Goesele, Steven Lovegrove, Richard Newcombe
arXiv:1906.05797 [cs.CV]
pdf | webpage
Functionality Representations and Applications for Shape Analysis
Functionality Representations and Applications for Shape Analysis
Ruizhen Hu, Manolis Savva, Oliver van Kaick
Eurographics STAR (State of The Art Report), CGF 2018
pdf | webpage
Linking WordNet to 3D Shapes
Linking WordNet to 3D Shapes
Angel X. Chang, Rishi Mago, Pranav Krishna, Manolis Savva, Christiane Fellbaum
Proceedings of Global WordNet Conference 2018
pdf
Body-centric Understanding of 3D Environments
Body-centric Understanding of 3D Environments
Manolis Savva
Ph.D. dissertation, Department of Computer Science, Stanford University, 2016
pdf | bib | webpage
SHREC'16 Track: Large-Scale 3D Shape Retrieval from ShapeNet Core55
SHREC'16 Track: Large-Scale 3D Shape Retrieval from ShapeNet Core55
Manolis Savva, Fisher Yu, Hao Su, Masaki Aono, Baoquan Chen, Daniel Cohen-Or, Weihong Deng, Hang Su, Song Bai, Xiang Bai, Noa Fish, Jiajie Han, Evangelos Kalogerakis, Erik G. Learned-Miller, Yangyan Li, Minghui Liao, Subhransu Maji, Atsushi Tatsuma, Yida Wang, Nanhai Zhang, Zhichao Zhou
Eurographics Workshop on 3D Object Retrieval 2016
pdf | bib | webpage
Semantically-Enriched 3D Models for Common-sense Knowledge
Semantically-Enriched 3D Models for Common-sense Knowledge
Manolis Savva, Angel X. Chang, Pat Hanrahan
CVPR 2015 Vision meets Cognition Workshop
pdf | bib | webpage
On Being the Right Scale: Sizing Large Collections of 3D Models
On Being the Right Scale: Sizing Large Collections of 3D Models
Manolis Savva, Angel X. Chang, Gilbert Bernstein, Christopher D. Manning, Pat Hanrahan
SIGGRAPH Asia 2014 Workshop on Indoor Scene Understanding: Where Graphics meets Vision
pdf | bib | webpage
Learning Spatial Knowledge for Text to 3D Scene Generation
Learning Spatial Knowledge for Text to 3D Scene Generation
Angel X. Chang, Manolis Savva, Christopher D. Manning
Proceedings of the 2014 Conference on Empirical Methods in Natural Language Processing (EMNLP 2014)
pdf | bib | webpage
Learning Affordance Maps by Observing Interactions
Learning Affordance Maps by Observing Interactions
Manolis Savva, Angel X. Chang, Matthew Fisher, Matthias Nießner, Pat Hanrahan
CVPR 2014 Workshop on Functionality, Physics, Intentionality and Causality
pdf | bib | webpage
Interactive Learning of Spatial Knowledge for Text to 3D Scene Generation
Interactive Learning of Spatial Knowledge for Text to 3D Scene Generation
Angel X. Chang, Manolis Savva, Christopher D. Manning
Proceedings of the ACL 2014 Workshop on Interactive Language Learning, Visualization, and Interfaces
pdf | bib | webpage
Semantic Parsing for Text to 3D Scene Generation
Semantic Parsing for Text to 3D Scene Generation
Angel X. Chang, Manolis Savva, Christopher D. Manning
Proceedings of the ACL 2014 Workshop on Semantic Parsing
pdf | bib | webpage
GraphPrism: Compact Visualization of Network Structure
GraphPrism: Compact Visualization of Network Structure
Sanjay Kairam, Diana MacLean, Manolis Savva, Jeffrey Heer
Advanced Visual Interfaces, 2012
pdf | bib | webpage
ReVision: Automated Classification, Analysis and Redesign of Chart Images
ReVision: Automated Classification, Analysis and Redesign of Chart Images
Manolis Savva, Nicholas Kong, Arti Chhajta, Li Fei-Fei, Maneesh Agrawala, Jeffrey Heer
ACM User Interface Software & Technology (UIST), 2011 [Notable Paper Award]
pdf | bib | webpage