ReVision: automated classification, analysis and redesign of chart images. - Manolis Savva; Nicholas Kong; Arti Chhajta; Li Fei-Fei 001; Maneesh Agrawala; Jeffrey Heer (UIST, 2011)

Characterizing structural relationships in scenes using graph kernels. - Matthew Fisher; Manolis Savva; Pat Hanrahan (ACM Trans. Graph., 2011)

GraphPrism: compact visualization of network structure. - Sanjay Kairam; Diana L. MacLean; Manolis Savva; Jeffrey Heer (AVI, 2012)

Example-based synthesis of 3D object arrangements. - Matthew Fisher; Daniel Ritchie; Manolis Savva; Thomas A. Funkhouser; Pat Hanrahan (ACM Trans. Graph., 2012)

TransPhoner: automated mnemonic keyword generation. - Manolis Savva; Angel X. Chang; Christopher D. Manning; Pat Hanrahan (CHI, 2014)

Learning Spatial Knowledge for Text to 3D Scene Generation. - Angel X. Chang; Manolis Savva; Christopher D. Manning (EMNLP, 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 (SIGGRAPH ASIA Indoor Scene Understanding Where Graphics Meets Vision, 2014)

Text to 3D Scene Generation with Rich Lexical Grounding. - Angel X. Chang; Will Monroe; Manolis Savva; Christopher Potts; Christopher D. Manning (ACL (1), 2015)

Semantically-enriched 3D models for common-sense knowledge. - Manolis Savva; Angel X. Chang; Pat Hanrahan (CVPR Workshops, 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 001; Jianxiong Xiao; Li Yi 001; et al. (CoRR, 2015)

Activity-centric scene synthesis for functional 3D scene modeling. - Matthew Fisher; Manolis Savva; Yangyan Li; Pat Hanrahan; Matthias Nießner (ACM Trans. Graph., 2015)

Large-Scale 3D Shape Retrieval from ShapeNet Core55. - Manolis Savva; Fisher Yu 001; Hao Su 001; Masaki Aono; Baoquan Chen; Daniel Cohen-Or; Weihong Deng; Hang Su 005; Song Bai 001; Xiang Bai; Noa Fish; Jiajie Han; et al. (3DOR@Eurographics, 2016)

SIGGRAPH Asia 2016: course notes directions in shape analysis towards functionality. - Ruizhen Hu; Oliver van Kaick; Youyi Zheng; Manolis Savva (SIGGRAPH ASIA Courses, 2016)

PiGraphs: learning interaction snapshots from observations. - Manolis Savva; Angel X. Chang; Pat Hanrahan; Matthew Fisher; Matthias Nießner (ACM Trans. Graph., 2016)

Body-centric understanding of 3D environments. - Manolis Savva (2016)

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 001; Yinda Zhang 001 (3DV, 2017)

Cross-Modal Attribute Transfer for Rescaling 3D Models. - Lin Shao 002; Angel X. Chang; Hao Su 001; Manolis Savva; Leonidas J. Guibas (3DV, 2017)

Large-Scale 3D Shape Retrieval from ShapeNet Core55. - Manolis Savva; Fisher Yu 001; Hao Su 001; Asako Kanezaki; Takahiko Furuya; Ryutarou Ohbuchi; Zhichao Zhou; Rui Yu 002; Song Bai 001; Xiang Bai; Masaki Aono; Atsushi Tatsuma; et al. (3DOR@Eurographics, 2017)

ScanNet: Richly-Annotated 3D Reconstructions of Indoor Scenes. - Angela Dai; Angel X. Chang; Manolis Savva; Maciej Halber; Thomas A. Funkhouser; Matthias Nießner (CVPR, 2017)

Semantic Scene Completion from a Single Depth Image. - Shuran Song; Fisher Yu 001; Andy Zeng 001; Angel X. Chang; Manolis Savva; Thomas A. Funkhouser (CVPR, 2017)

Physically-Based Rendering for Indoor Scene Understanding Using Convolutional Neural Networks. - Yinda Zhang 001; Shuran Song; Ersin Yumer; Manolis Savva; Joon-Young Lee; Hailin Jin; Thomas A. Funkhouser (CVPR, 2017)

SceneSeer: 3D Scene Design with Natural Language. - Angel X. Chang; Mihail Eric; Manolis Savva; Christopher D. Manning (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)

SceneSuggest: Context-driven 3D Scene Design. - Manolis Savva; Angel X. Chang; Maneesh Agrawala (CoRR, 2017)

Large-Scale 3D Shape Reconstruction and Segmentation from ShapeNet Core55. - Li Yi 001; Lin Shao 002; Manolis Savva; Haibin Huang; Yang Zhou 009; Qirui Wang; Benjamin Graham; Martin Engelcke; Roman Klokov; Victor S. Lempitsky; Yuan Gan; Pengyu Wang 004; et al. (CoRR, 2017)

MINOS: Multimodal Indoor Simulator for Navigation in Complex Environments. - Manolis Savva; Angel X. Chang; Alexey Dosovitskiy; Thomas A. Funkhouser; Vladlen Koltun (CoRR, 2017)

Text2Shape: Generating Shapes from Natural Language by Learning Joint Embeddings. - Kevin Chen 001; Christopher B. Choy; Manolis Savva; Angel X. Chang; Thomas A. Funkhouser; Silvio Savarese (ACCV (3), 2018)

Im2Pano3D: Extrapolating 360° Structure and Semantics Beyond the Field of View. - Shuran Song; Andy Zeng 001; Angel X. Chang; Manolis Savva; Silvio Savarese; Thomas A. Funkhouser (CVPR, 2018)

Linking WordNet to 3D Shapes. - Angel X. Chang; Rishi Mago; Pranav Krishna; Manolis Savva; Christiane Fellbaum (GWC, 2018)

Functionality Representations and Applications for Shape Analysis. - Ruizhen Hu; Manolis Savva; Oliver van Kaick (Comput. Graph. Forum, 2018)

On Evaluation of Embodied Navigation Agents. - Peter Anderson 001; Angel X. Chang; Devendra Singh Chaplot; Alexey Dosovitskiy; Saurabh Gupta 001; Vladlen Koltun; Jana Kosecka; Jitendra Malik; Roozbeh Mottaghi; Manolis Savva; Amir R. Zamir (CoRR, 2018)

Deep convolutional priors for indoor scene synthesis. - Kai Wang 002; Manolis Savva; Angel X. Chang; Daniel Ritchie (ACM Trans. Graph., 2018)

Scan2CAD: Learning CAD Model Alignment in RGB-D Scans. - Armen Avetisyan; Manuel Dahnert; Angela Dai; Manolis Savva; Angel X. Chang; Matthias Nießner (CVPR, 2019)

Hierarchy Denoising Recursive Autoencoders for 3D Scene Layout Prediction. - Yifei Shi; Angel X. Chang; Zhelun Wu; Manolis Savva; Kai Xu 004 (CVPR, 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 (ICCV, 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; et al. (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)

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)

PlanIT: planning and instantiating indoor scenes with relation graph and spatial prior networks. - Kai Wang 002; Yu-An Lin; Ben Weissmann; Manolis Savva; Angel X. Chang; Daniel Ritchie (ACM Trans. Graph., 2019)

Motion Annotation Programs: A Scalable Approach to Annotating Kinematic Articulations in Large 3D Shape Collections. - Xianghao Xu; David Charatan; Sonia Raychaudhuri; Hanxiao Jiang 001; Mae Heitmann; Vladimir G. Kim; Siddhartha Chaudhuri; Manolis Savva; Angel X. Chang; Daniel Ritchie (3DV, 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 (ICLR, 2020)

Relational Graph Learning for Crowd Navigation. - Changan Chen; Sha Hu 003; Payam Nikdel; Greg Mori; Manolis Savva (IROS, 2020)

MultiON: Benchmarking Semantic Map Memory using Multi-Object Navigation. - Saim Wani; Shivansh Patel; Unnat Jain; Angel X. Chang; Manolis Savva (NeurIPS, 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)

MCMI: Multi-Cycle Image Translation with Mutual Information Constraints. - Xiang Xu; Megha Nawhal; Greg Mori; Manolis Savva (CoRR, 2020)

Rearrangement: A Challenge for Embodied AI. - Dhruv Batra; Angel X. Chang; Sonia Chernova; Andrew J. Davison; Jia Deng 001; Vladlen Koltun; Sergey Levine; Jitendra Malik; Igor Mordatch; Roozbeh Mottaghi; Manolis Savva; Hao Su 001 (CoRR, 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)

LayoutGMN: Neural Graph Matching for Structural Layout Similarity. - Akshay Gadi Patil; Manyi Li; Matthew Fisher; Manolis Savva; Hao Zhang 002 (CVPR, 2021)

Mirror3D: Depth Refinement for Mirror Surfaces. - Jiaqi Tan 005; Weijie Lin; Angel X. Chang; Manolis Savva (CVPR, 2021)

Plan2Scene: Converting Floorplans to 3D Scenes. - Madhawa Vidanapathirana; Qirui Wu; Yasutaka Furukawa; Angel X. Chang; Manolis Savva (CVPR, 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 (ICCV, 2021)

Large Batch Simulation for Deep Reinforcement Learning. - Brennan Shacklett; Erik Wijmans; Aleksei Petrenko; Manolis Savva; Dhruv Batra; Vladlen Koltun; Kayvon Fatahalian (ICLR, 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; et al. (NeurIPS Datasets and Benchmarks, 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; et al. (NeurIPS, 2021)

Roominoes: Generating Novel 3D Floor Plans From Existing 3D Rooms. - Kai Wang 002; Xianghao Xu; Leon Lei; Selena Ling; Natalie Lindsay; Angel X. Chang; Manolis Savva; Daniel Ritchie (Comput. Graph. Forum, 2021)

D3D-HOI: Dynamic 3D Human-Object Interactions from Videos. - Xiang Xu; Hanbyul Joo; Greg Mori; Manolis Savva (CoRR, 2021)

Learning Body-Aware 3D Shape Generative Models. - Bryce Blinn; Alexander Ding; Daniel Ritchie; R. Kenny Jones; Srinath Sridhar 002; Manolis Savva (CoRR, 2021)

Articulated 3D Human-Object Interactions From RGB Videos: An Empirical Analysis of Approaches and Challenges. - Sanjay Haresh; Xiaohao Sun; Hanxiao Jiang 001; Angel X. Chang; Manolis Savva (3DV, 2022)

OPD: Single-View 3D Openable Part Detection. - Hanxiao Jiang 001; Yongsen Mao; Manolis Savva; Angel X. Chang (ECCV (39), 2022)

MultiScan: Scalable RGBD scanning for 3D environments with articulated objects. - Yongsen Mao; Yiming Zhang 019; Hanxiao Jiang 001; Angel X. Chang; Manolis Savva (NeurIPS, 2022)

Foreword to the Virtual Special Section on Graphics Interface 2021. - Manolis Savva; Paul G. Kry (Comput. Graph., 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 001; Anthony G. Francis; et al. (CoRR, 2022)

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; et al. (CoRL, 2023)

Evaluating 3D Shape Analysis Methods for Robustness to Rotation Invariance. - Supriya Gadi Patil; Angel X. Chang; Manolis Savva (CRV, 2023)

3DSSR: 3D Subscene Retrieval. - Reza Asad; Manolis Savva (CVPR Workshops, 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 (CVPR, 2023)

PARIS: Part-level Reconstruction and Motion Analysis for Articulated Objects. - Jiayi Liu 006; Ali Mahdavi-Amiri; Manolis Savva (ICCV, 2023)

Reduce, Reuse, Recycle: Modular Multi-Object Navigation. - Sonia Raychaudhuri; Tommaso Campari; Unnat Jain; Manolis Savva; Angel X. Chang (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 001 (CoRR, 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, 2023)

OPDMulti: Openable Part Detection for Multiple Objects. - Xiaohao Sun; Hanxiao Jiang 001; Manolis Savva; Angel X. Chang (3DV, 2024)

Generalizing Single-View 3D Shape Retrieval to Occlusions and Unseen Objects. - Qirui Wu; Daniel Ritchie; Manolis Savva; Angel X. Chang (3DV, 2024)

Ego-Exo4D: Understanding Skilled Human Activity from First- and Third-Person Perspectives. - Kristen Grauman; Andrew Westbury; Lorenzo Torresani; Kris Kitani; Jitendra Malik; Triantafyllos Afouras; Kumar Ashutosh; Vijay Baiyya; Siddhant Bansal; Bikram Boote; Eugene Byrne; Zachary Chavis; et al. (CVPR, 2024)

Habitat Synthetic Scenes Dataset (HSSD-200): An Analysis of 3D Scene Scale and Realism Tradeoffs for ObjectGoal Navigation. - Mukul Khanna; Yongsen Mao; Hanxiao Jiang 001; Sanjay Haresh; Brennan Shacklett; Dhruv Batra; Alexander Clegg; Eric Undersander; Angel X. Chang; Manolis Savva (CVPR, 2024)

CAGE: Controllable Articulation GEneration. - Jiayi Liu 006; Hou In Ivan Tam; Ali Mahdavi-Amiri; Manolis Savva (CVPR, 2024)

R3DS: Reality-Linked 3D Scenes for Panoramic Scene Understanding. - Qirui Wu; Sonia Raychaudhuri; Daniel Ritchie; Manolis Savva; Angel X. Chang (ECCV (63), 2024)

DMFuser: Distilled Multi-Task Learning for End-to-end Transformer-Based Sensor Fusion in Autonomous Driving. - Pedram Agand; Mohammad Mahdavian; Manolis Savva; Mo Chen 001 (IROS, 2024)

MOPA: Modular Object Navigation with PointGoal Agents. - Sonia Raychaudhuri; Tommaso Campari; Unnat Jain; Manolis Savva; Angel X. Chang (WACV, 2024)

Text-to-3D Shape Generation. - Han-Hung Lee; Manolis Savva; Angel X. Chang (CoRR, 2024)

Survey on Modeling of Articulated Objects. - Jiayi Liu 006; Manolis Savva; Ali Mahdavi-Amiri (CoRR, 2024)

S2O: Static to Openable Enhancement for Articulated 3D Objects. - Denys Iliash; Hanxiao Jiang 001; Yiming Zhang 019; Manolis Savva; Angel X. Chang (CoRR, 2024)

Diorama: Unleashing Zero-shot Single-view 3D Scene Modeling. - Qirui Wu; Denys Iliash; Daniel Ritchie; Manolis Savva; Angel X. Chang (CoRR, 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 002 (Comput. Graph. Forum, 2024)

Text-to-3D Shape Generation. - H. Lee; Manolis Savva; Angel X. Chang (Comput. Graph. Forum, 2024)

SceneMotifCoder: Example-Driven Visual Program Learning for Generating 3D Object Arrangements. - Hou In Ivan Tam; Hou In Derek Pun; Austin T. Wang; Angel X. Chang; Manolis Savva (3DV, 2025)

SINGAPO: Single Image Controlled Generation of Articulated Parts in Objects. - Jiayi Liu 006; Denys Iliash; Angel X. Chang; Manolis Savva; Ali Mahdavi Amiri (ICLR, 2025)

Survey on Modeling of Human-made Articulated Objects. - Jiayi Liu 006; Manolis Savva; Ali Mahdavi-Amiri (Comput. Graph. Forum, 2025)

Learning Object Placement Programs for Indoor Scene Synthesis with Iterative Self Training. - Adrian Chang; Kai Wang 002; Yuanbo Li; Manolis Savva; Angel X. Chang; Daniel Ritchie (CoRR, 2025)

SceneEval: Evaluating Semantic Coherence in Text-Conditioned 3D Indoor Scene Synthesis. - Hou In Ivan Tam; Hou In Derek Pun; Austin T. Wang; Angel X. Chang; Manolis Savva (CoRR, 2025)

HSM: Hierarchical Scene Motifs for Multi-Scale Indoor Scene Generation. - Hou In Derek Pun; Hou In Ivan Tam; Austin T. Wang; Xiaoliang Huo; Angel X. Chang; Manolis Savva (CoRR, 2025)

Digital Twin Generation from Visual Data: A Survey. - Andrew Melnik; Benjamin Alt; Giang Nguyen; Artur Wilkowski; Maciej Stefanczyk; Qirui Wu; Sinan Harms; Helge Rhodin; Manolis Savva; Michael Beetz (CoRR, 2025)

Hybrid Neural-MPM for Interactive Fluid Simulations in Real-Time. - Jingxuan Xu; Hong Huang; Chuhang Zou; Manolis Savva; Yunchao Wei; Wuyang Chen 001 (CoRR, 2025)

Generalizable Articulated Object Reconstruction from Casually Captured RGBD Videos. - Weikun Peng; Jun Lv; Cewu Lu; Manolis Savva (CoRR, 2025)

LangNavBench: Evaluation of Natural Language Understanding in Semantic Navigation. - Sonia Raychaudhuri; Enrico Cancelli; Tommaso Campari; Lamberto Ballan; Manolis Savva; Angel X. Chang (CoRR, 2025)