Manolis Savva

According to our database, Manolis Savva authored at least 79 papers between 2011 and 2024.

Collaborative distances:

• Dijkstra number of three.
• Erdős number of three.

2024

Advances in Data-Driven Analysis and Synthesis of 3D Indoor Scenes.

Akshay Gadi Patil, Supriya Gadi Patil, Manyi Li, Matthew Fisher, Manolis Savva, Hao Zhang

Comput. Graph. Forum, February, 2024

Survey on Modeling of Articulated Objects.

Jiayi Liu, Manolis Savva, Ali Mahdavi-Amiri

CoRR, 2024

Text-to-3D Shape Generation.

Han-Hung Lee, Manolis Savva, Angel X. Chang

CoRR, 2024

R3DS: Reality-linked 3D Scenes for Panoramic Scene Understanding.

Qirui Wu, Sonia Raychaudhuri, Daniel Ritchie, Manolis Savva, Angel X. Chang

CoRR, 2024

Generalizing Single-View 3D Shape Retrieval to Occlusions and Unseen Objects.

Qirui Wu, Daniel Ritchie, Manolis Savva, Angel X. Chang

CoRR, 2024

MOPA: Modular Object Navigation with PointGoal Agents.

Sonia Raychaudhuri, Tommaso Campari, Unnat Jain, Manolis Savva, Angel X. Chang

Proceedings of the IEEE/CVF Winter Conference on Applications of Computer Vision, 2024

2023

Emergence of Maps in the Memories of Blind Navigation Agents.

Erik Wijmans, Manolis Savva, Irfan Essa, Stefan Lee, Ari S. Morcos, Dhruv Batra

AI Matters, June, 2023

CAGE: Controllable Articulation GEneration.

Jiayi Liu, Hou In Ivan Tam, Ali Mahdavi-Amiri, Manolis Savva

CoRR, 2023

LeTFuser: Light-weight End-to-end Transformer-Based Sensor Fusion for Autonomous Driving with Multi-Task Learning.

Pedram Agand, Mohammad Mahdavian, Manolis Savva, Mo Chen

CoRR, 2023

Habitat Synthetic Scenes Dataset (HSSD-200): An Analysis of 3D Scene Scale and Realism Tradeoffs for ObjectGoal Navigation.

Mukul Khanna, Yongsen Mao, Hanxiao Jiang, Sanjay Haresh, Brennan Shacklett, Dhruv Batra, Alexander Clegg, Eric Undersander, Angel X. Chang, Manolis Savva

CoRR, 2023

Reduce, Reuse, Recycle: Modular Multi-Object Navigation.

Sonia Raychaudhuri, Tommaso Campari, Unnat Jain, Manolis Savva, Angel X. Chang

CoRR, 2023

OPDMulti: Openable Part Detection for Multiple Objects.

Xiaohao Sun, Hanxiao Jiang, Manolis Savva, Angel Xuan Chang

CoRR, 2023

PARIS: Part-level Reconstruction and Motion Analysis for Articulated Objects.

Jiayi Liu, Ali Mahdavi-Amiri, Manolis Savva

Proceedings of the IEEE/CVF International Conference on Computer Vision, 2023

Habitat-Matterport 3D Semantics Dataset.

Karmesh Yadav, Ram Ramrakhya, Santhosh Kumar Ramakrishnan, Théophile Gervet, John M. Turner, Aaron Gokaslan, Noah Maestre, Angel Xuan Chang, Dhruv Batra, Manolis Savva, Alexander William Clegg, Devendra Singh Chaplot

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2023

3DSSR: 3D Subscene Retrieval.

Reza Asad, Manolis Savva

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2023

Evaluating 3D Shape Analysis Methods for Robustness to Rotation Invariance.

Supriya Gadi Patil, Angel X. Chang, Manolis Savva

Proceedings of the 20th Conference on Robots and Vision, 2023

HomeRobot: Open-Vocabulary Mobile Manipulation.

Sriram Yenamandra, Arun Ramachandran, Karmesh Yadav, Austin S. Wang, Mukul Khanna, Théophile Gervet, Tsung-Yen Yang, Vidhi Jain, Alexander Clegg, John M. Turner, Zsolt Kira, Manolis Savva, Angel X. Chang, Devendra Singh Chaplot, Dhruv Batra, Roozbeh Mottaghi, Yonatan Bisk, Chris Paxton

Proceedings of the Conference on Robot Learning, 2023

2022

Retrospectives on the Embodied AI Workshop.

Matt Deitke, Dhruv Batra, Yonatan Bisk, Tommaso Campari, Angel X. Chang, Devendra Singh Chaplot, Changan Chen, Claudia Pérez-D'Arpino, Kiana Ehsani, Ali Farhadi, Li Fei-Fei, Anthony G. Francis, Chuang Gan, Kristen Grauman, David Hall, Winson Han, Unnat Jain, Aniruddha Kembhavi, Jacob Krantz, Stefan Lee, Chengshu Li, Sagnik Majumder, Oleksandr Maksymets, Roberto Martín-Martín, Roozbeh Mottaghi, Sonia Raychaudhuri, Mike Roberts, Silvio Savarese, Manolis Savva, Mohit Shridhar, Niko Sünderhauf, Andrew Szot, Ben Talbot, Joshua B. Tenenbaum, Jesse Thomason, Alexander Toshev, Joanne Truong, Luca Weihs, Jiajun Wu

CoRR, 2022

Foreword to the Virtual Special Section on Graphics Interface 2021.

Manolis Savva, Paul G. Kry

Comput. Graph., 2022

MultiScan: Scalable RGBD scanning for 3D environments with articulated objects.

Yongsen Mao, Yiming Zhang, Hanxiao Jiang, Angel X. Chang, Manolis Savva

Proceedings of the Advances in Neural Information Processing Systems 35: Annual Conference on Neural Information Processing Systems 2022, 2022

OPD: Single-View 3D Openable Part Detection.

Hanxiao Jiang, Yongsen Mao, Manolis Savva, Angel X. Chang

Proceedings of the Computer Vision - ECCV 2022, 2022

Articulated 3D Human-Object Interactions From RGB Videos: An Empirical Analysis of Approaches and Challenges.

Sanjay Haresh, Xiaohao Sun, Hanxiao Jiang, Angel X. Chang, Manolis Savva

Proceedings of the International Conference on 3D Vision, 2022

2021

Learning Body-Aware 3D Shape Generative Models.

Bryce Blinn, Alexander Ding, Daniel Ritchie, R. Kenny Jones, Srinath Sridhar, Manolis Savva

CoRR, 2021

D3D-HOI: Dynamic 3D Human-Object Interactions from Videos.

Xiang Xu, Hanbyul Joo, Greg Mori, Manolis Savva

CoRR, 2021

Roominoes: Generating Novel 3D Floor Plans From Existing 3D Rooms.

Kai Wang, Xianghao Xu, Leon Lei, Selena Ling, Natalie Lindsay, Angel X. Chang, Manolis Savva, Daniel Ritchie

Comput. Graph. Forum, 2021

Habitat 2.0: Training Home Assistants to Rearrange their Habitat.

Andrew Szot, Alexander Clegg, Eric Undersander, Erik Wijmans, Yili Zhao, John M. Turner, Noah Maestre, Mustafa Mukadam, Devendra Singh Chaplot, Oleksandr Maksymets, Aaron Gokaslan, Vladimir Vondrus, Sameer Dharur, Franziska Meier, Wojciech Galuba, Angel X. Chang, Zsolt Kira, Vladlen Koltun, Jitendra Malik, Manolis Savva, Dhruv Batra

Proceedings of the Advances in Neural Information Processing Systems 34: Annual Conference on Neural Information Processing Systems 2021, 2021

Habitat-Matterport 3D Dataset (HM3D): 1000 Large-scale 3D Environments for Embodied AI.

Santhosh Kumar Ramakrishnan, Aaron Gokaslan, Erik Wijmans, Oleksandr Maksymets, Alexander Clegg, John M. Turner, Eric Undersander, Wojciech Galuba, Andrew Westbury, Angel X. Chang, Manolis Savva, Yili Zhao, Dhruv Batra

Proceedings of the Neural Information Processing Systems Track on Datasets and Benchmarks 1, 2021

Large Batch Simulation for Deep Reinforcement Learning.

Brennan Shacklett, Erik Wijmans, Aleksei Petrenko, Manolis Savva, Dhruv Batra, Vladlen Koltun, Kayvon Fatahalian

Proceedings of the 9th International Conference on Learning Representations, 2021

Interpretation of Emergent Communication in Heterogeneous Collaborative Embodied Agents.

Shivansh Patel, Saim Wani, Unnat Jain, Alexander G. Schwing, Svetlana Lazebnik, Manolis Savva, Angel X. Chang

Proceedings of the 2021 IEEE/CVF International Conference on Computer Vision, 2021

Plan2Scene: Converting Floorplans to 3D Scenes.

Madhawa Vidanapathirana, Qirui Wu, Yasutaka Furukawa, Angel X. Chang, Manolis Savva

Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2021

Mirror3D: Depth Refinement for Mirror Surfaces.

Jiaqi Tan, Weijie Lin, Angel X. Chang, Manolis Savva

Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2021

LayoutGMN: Neural Graph Matching for Structural Layout Similarity.

Akshay Gadi Patil, Manyi Li, Matthew Fisher, Manolis Savva, Hao Zhang

Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2021

2020

Sim2Real Predictivity: Does Evaluation in Simulation Predict Real-World Performance?

Abhishek Kadian, Joanne Truong, Aaron Gokaslan, Alexander Clegg, Erik Wijmans, Stefan Lee, Manolis Savva, Sonia Chernova, Dhruv Batra

IEEE Robotics Autom. Lett., 2020

Rearrangement: A Challenge for Embodied AI.

Dhruv Batra, Angel X. Chang, Sonia Chernova, Andrew J. Davison, Jia Deng, Vladlen Koltun, Sergey Levine, Jitendra Malik, Igor Mordatch, Roozbeh Mottaghi, Manolis Savva, Hao Su

CoRR, 2020

MCMI: Multi-Cycle Image Translation with Mutual Information Constraints.

Xiang Xu, Megha Nawhal, Greg Mori, Manolis Savva

CoRR, 2020

ObjectNav Revisited: On Evaluation of Embodied Agents Navigating to Objects.

Dhruv Batra, Aaron Gokaslan, Aniruddha Kembhavi, Oleksandr Maksymets, Roozbeh Mottaghi, Manolis Savva, Alexander Toshev, Erik Wijmans

CoRR, 2020

MultiON: Benchmarking Semantic Map Memory using Multi-Object Navigation.

Saim Wani, Shivansh Patel, Unnat Jain, Angel X. Chang, Manolis Savva

Proceedings of the Advances in Neural Information Processing Systems 33: Annual Conference on Neural Information Processing Systems 2020, 2020

Relational Graph Learning for Crowd Navigation.

Changan Chen, Sha Hu, Payam Nikdel, Greg Mori, Manolis Savva

Proceedings of the IEEE/RSJ International Conference on Intelligent Robots and Systems, 2020

DD-PPO: Learning Near-Perfect PointGoal Navigators from 2.5 Billion Frames.

Erik Wijmans, Abhishek Kadian, Ari Morcos, Stefan Lee, Irfan Essa, Devi Parikh, Manolis Savva, Dhruv Batra

Proceedings of the 8th International Conference on Learning Representations, 2020

Motion Annotation Programs: A Scalable Approach to Annotating Kinematic Articulations in Large 3D Shape Collections.

Xianghao Xu, David Charatan, Sonia Raychaudhuri, Hanxiao Jiang, Mae Heitmann, Vladimir G. Kim, Siddhartha Chaudhuri, Manolis Savva, Angel X. Chang, Daniel Ritchie

Proceedings of the 8th International Conference on 3D Vision, 2020

2019

PlanIT: planning and instantiating indoor scenes with relation graph and spatial prior networks.

Kai Wang, Yu-An Lin, Ben Weissmann, Manolis Savva, Angel X. Chang, Daniel Ritchie

ACM Trans. Graph., 2019

Are We Making Real Progress in Simulated Environments? Measuring the Sim2Real Gap in Embodied Visual Navigation.

Abhishek Kadian, Joanne Truong, Aaron Gokaslan, Alexander Clegg, Erik Wijmans, Stefan Lee, Manolis Savva, Sonia Chernova, Dhruv Batra

CoRR, 2019

Decentralized Distributed PPO: Solving PointGoal Navigation.

Erik Wijmans, Abhishek Kadian, Ari Morcos, Stefan Lee, Irfan Essa, Devi Parikh, Manolis Savva, Dhruv Batra

CoRR, 2019

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 Yuheng 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 A. Newcombe

CoRR, 2019

Habitat: A Platform for Embodied AI Research.

Manolis Savva, Jitendra Malik, Devi Parikh, Dhruv Batra, Abhishek Kadian, Oleksandr Maksymets, Yili Zhao, Erik Wijmans, Bhavana Jain, Julian Straub, Jia Liu, Vladlen Koltun

Proceedings of the 2019 IEEE/CVF International Conference on Computer Vision, 2019

Hierarchy Denoising Recursive Autoencoders for 3D Scene Layout Prediction.

Yifei Shi, Angel X. Chang, Zhelun Wu, Manolis Savva, Kai Xu

Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2019

Scan2CAD: Learning CAD Model Alignment in RGB-D Scans.

Armen Avetisyan, Manuel Dahnert, Angela Dai, Manolis Savva, Angel X. Chang, Matthias Nießner

Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2019

2018

Deep convolutional priors for indoor scene synthesis.

Kai Wang, Manolis Savva, Angel X. Chang, Daniel Ritchie

ACM Trans. Graph., 2018

On Evaluation of Embodied Navigation Agents.

Peter Anderson, Angel X. Chang, Devendra Singh Chaplot, Alexey Dosovitskiy, Saurabh Gupta, Vladlen Koltun, Jana Kosecka, Jitendra Malik, Roozbeh Mottaghi, Manolis Savva, Amir R. Zamir

CoRR, 2018

Functionality Representations and Applications for Shape Analysis.

Ruizhen Hu, Manolis Savva, Oliver van Kaick

Comput. Graph. Forum, 2018

Linking WordNet to 3D Shapes.

Angel X. Chang, Rishi Mago, Pranav Krishna, Manolis Savva, Christiane Fellbaum

Proceedings of the 9th Global Wordnet Conference, 2018

Im2Pano3D: Extrapolating 360° Structure and Semantics Beyond the Field of View.

Shuran Song, Andy Zeng, Angel X. Chang, Manolis Savva, Silvio Savarese, Thomas A. Funkhouser

Proceedings of the 2018 IEEE Conference on Computer Vision and Pattern Recognition, 2018

Text2Shape: Generating Shapes from Natural Language by Learning Joint Embeddings.

Kevin Chen, Christopher B. Choy, Manolis Savva, Angel X. Chang, Thomas A. Funkhouser, Silvio Savarese

Proceedings of the Computer Vision - ACCV 2018, 2018

2017

MINOS: Multimodal Indoor Simulator for Navigation in Complex Environments.

Manolis Savva, Angel X. Chang, Alexey Dosovitskiy, Thomas A. Funkhouser, Vladlen Koltun

CoRR, 2017

Large-Scale 3D Shape Reconstruction and Segmentation from ShapeNet Core55.

Li Yi, Lin Shao, Manolis Savva, Haibin Huang, Yang Zhou, Qirui Wang, Benjamin Graham, Martin Engelcke, Roman Klokov, Victor S. Lempitsky, Yuan Gan, Pengyu Wang, Kun Liu, Fenggen Yu, Panpan Shui, Bingyang Hu, Yan Zhang, Yangyan Li, Rui Bu, Mingchao Sun, Wei Wu, Minki Jeong, Jaehoon Choi, Changick Kim, Angom Geetchandra, Narasimha Murthy, Bhargava Ramu, Bharadwaj Manda, M. Ramanathan, Gautam Kumar, P. Preetham, Siddharth Srivastava, Swati Bhugra, Brejesh Lall, Christian Häne, Shubham Tulsiani, Jitendra Malik, Jared Lafer, Ramsey Jones, Siyuan Li, Jie Lu, Shi Jin, Jingyi Yu, Qixing Huang, Evangelos Kalogerakis, Silvio Savarese, Pat Hanrahan, Thomas A. Funkhouser, Hao Su, Leonidas J. Guibas

CoRR, 2017

SceneSuggest: Context-driven 3D Scene Design.

Manolis Savva, Angel X. Chang, Maneesh Agrawala

CoRR, 2017

Learning Where to Look: Data-Driven Viewpoint Set Selection for 3D Scenes.

Kyle Genova, Manolis Savva, Angel X. Chang, Thomas A. Funkhouser

CoRR, 2017

SceneSeer: 3D Scene Design with Natural Language.

Angel X. Chang, Mihail Eric, Manolis Savva, Christopher D. Manning

CoRR, 2017

Physically-Based Rendering for Indoor Scene Understanding Using Convolutional Neural Networks.

Yinda Zhang, Shuran Song, Ersin Yumer, Manolis Savva, Joon-Young Lee, Hailin Jin, Thomas A. Funkhouser

Proceedings of the 2017 IEEE Conference on Computer Vision and Pattern Recognition, 2017

Semantic Scene Completion from a Single Depth Image.

Shuran Song, Fisher Yu, Andy Zeng, Angel X. Chang, Manolis Savva, Thomas A. Funkhouser

Proceedings of the 2017 IEEE Conference on Computer Vision and Pattern Recognition, 2017

ScanNet: Richly-Annotated 3D Reconstructions of Indoor Scenes.

Angela Dai, Angel X. Chang, Manolis Savva, Maciej Halber, Thomas A. Funkhouser, Matthias Nießner

Proceedings of the 2017 IEEE Conference on Computer Vision and Pattern Recognition, 2017

Large-Scale 3D Shape Retrieval from ShapeNet Core55.

Manolis Savva, Fisher Yu, Hao Su, Asako Kanezaki, Takahiko Furuya, Ryutarou Ohbuchi, Zhichao Zhou, Rui Yu, Song Bai, Xiang Bai, Masaki Aono, Atsushi Tatsuma, Spyridon Thermos, Apostolos Axenopoulos, Georgios Th. Papadopoulos, Petros Daras, Xiao Deng, Zhouhui Lian, Bo Li, Henry Johan, Yijuan Lu, Sanjeev Mk

Proceedings of the 10th Eurographics Workshop on 3D Object Retrieval, 2017

Cross-Modal Attribute Transfer for Rescaling 3D Models.

Lin Shao, Angel X. Chang, Hao Su, Manolis Savva, Leonidas J. Guibas

Proceedings of the 2017 International Conference on 3D Vision, 2017

Matterport3D: Learning from RGB-D Data in Indoor Environments.

Angel X. Chang, Angela Dai, Thomas A. Funkhouser, Maciej Halber, Matthias Nießner, Manolis Savva, Shuran Song, Andy Zeng, Yinda Zhang

Proceedings of the 2017 International Conference on 3D Vision, 2017

2016

Body-centric understanding of 3D environments.

Manolis Savva

PhD thesis, 2016

PiGraphs: learning interaction snapshots from observations.

Manolis Savva, Angel X. Chang, Pat Hanrahan, Matthew Fisher, Matthias Nießner

ACM Trans. Graph., 2016

SIGGRAPH Asia 2016: course notes directions in shape analysis towards functionality.

Ruizhen Hu, Oliver van Kaick, Youyi Zheng, Manolis Savva

Proceedings of the SIGGRAPH ASIA 2016, Macao, December 5-8, 2016 - Courses, 2016

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

Proceedings of the 9th Eurographics Workshop on 3D Object Retrieval, 2016

2015

Activity-centric scene synthesis for functional 3D scene modeling.

Matthew Fisher, Manolis Savva, Yangyan Li, Pat Hanrahan, Matthias Nießner

ACM Trans. Graph., 2015

ShapeNet: An Information-Rich 3D Model Repository.

Angel X. Chang, Thomas A. Funkhouser, Leonidas J. Guibas, Pat Hanrahan, Qi-Xing Huang, Zimo Li, Silvio Savarese, Manolis Savva, Shuran Song, Hao Su, Jianxiong Xiao, Li Yi, Fisher Yu

CoRR, 2015

Semantically-enriched 3D models for common-sense knowledge.

Manolis Savva, Angel X. Chang, Pat Hanrahan

Proceedings of the 2015 IEEE Conference on Computer Vision and Pattern Recognition Workshops, 2015

Text to 3D Scene Generation with Rich Lexical Grounding.

Angel X. Chang, Will Monroe, Manolis Savva, Christopher Potts, Christopher D. Manning

Proceedings of the 53rd Annual Meeting of the Association for Computational Linguistics and the 7th International Joint Conference on Natural Language Processing of the Asian Federation of Natural Language Processing, 2015

2014

On being the right scale: sizing large collections of 3D models.

Manolis Savva, Angel X. Chang, Gilbert Louis Bernstein, Christopher D. Manning, Pat Hanrahan

Proceedings of the SIGGRAPH Asia 2014 Indoor Scene Understanding Where Graphics Meets Vision, 2014

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, 2014

TransPhoner: automated mnemonic keyword generation.

Manolis Savva, Angel X. Chang, Christopher D. Manning, Pat Hanrahan

Proceedings of the CHI Conference on Human Factors in Computing Systems, 2014

2012

Example-based synthesis of 3D object arrangements.

Matthew Fisher, Daniel Ritchie, Manolis Savva, Thomas A. Funkhouser, Pat Hanrahan

ACM Trans. Graph., 2012

GraphPrism: compact visualization of network structure.

Sanjay Kairam, Diana L. MacLean, Manolis Savva, Jeffrey Heer

Proceedings of the International Working Conference on Advanced Visual Interfaces, 2012

2011

Characterizing structural relationships in scenes using graph kernels.

Matthew Fisher, Manolis Savva, Pat Hanrahan

ACM Trans. Graph., 2011

ReVision: automated classification, analysis and redesign of chart images.

Manolis Savva, Nicholas Kong, Arti Chhajta, Li Fei-Fei, Maneesh Agrawala, Jeffrey Heer

Proceedings of the 24th Annual ACM Symposium on User Interface Software and Technology, 2011