World's Best Scientists 2026 revealed!

D-Index & Metrics

Computer Science

D-Index
44
Citations
18243
World Ranking
7368
National Ranking
292

Overview

Manolis Savva is affiliated with Simon Fraser University in Canada and has made significant contributions in the fields of computer science and engineering. Their research primarily focuses on computer vision and pattern recognition, artificial intelligence, computational mechanics, geology, and control and systems engineering.

The scientist's work covers a range of topics including multimodal machine learning applications, human pose and action recognition, 3D shape modeling and analysis, 3D surveying and cultural heritage, reinforcement learning in robotics, advanced neural network applications, and image processing and 3D reconstruction.

Manolis Savva has a number of frequently cited recent publications, including:

  • ShapeNet: An Information-Rich 3D Model Repository, 2023, published in Zenodo (CERN European Organization for Nuclear Research)
  • ObjectNav Revisited: On Evaluation of Embodied Agents Navigating to Objects, 2020, arXiv (Cornell University)
  • Rearrangement: A Challenge for Embodied AI, 2020, arXiv (Cornell University)
  • MultiON: Benchmarking Semantic Map Memory using Multi-Object Navigation, 2020, arXiv (Cornell University)
  • Habitat-Matterport 3D Dataset (HM3D): 1000 Large-scale 3D Environments for Embodied AI, 2021, arXiv (Cornell University)

Research collaborations are an important aspect of Savva's work. Frequent co-authors include Anne Lynn S. Chang, Dhruv Batra, Erik Wijmans, Hanxiao Jiang, and Ali Mahdavi-Amiri.

Publication venues where Manolis Savva has often published include:

  • arXiv (Cornell University)
  • Computer Graphics Forum
  • Zenodo (CERN European Organization for Nuclear Research)
  • AI Matters
  • 2021 IEEE/CVF International Conference on Computer Vision (ICCV)

Best Publications

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

    Angela Dai;Angel X. Chang;Manolis Savva;Maciej Halber

  • ShapeNet: An Information-Rich 3D Model Repository

    Angel X. Chang;Thomas A. Funkhouser;Leonidas J. Guibas;Pat Hanrahan

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

    Angel Chang;Angela Dai;Thomas Funkhouser;Maciej Halber

  • Semantic Scene Completion from a Single Depth Image

    Shuran Song;Fisher Yu;Andy Zeng;Angel X. Chang

  • Habitat: A Platform for Embodied AI Research

    Manolis Savva;Jitendra Malik;Devi Parikh;Dhruv Batra

  • ScanNet: Richly-annotated 3D Reconstructions of Indoor Scenes

    Angela Dai;Angel X. Chang;Manolis Savva;Maciej Halber

  • On Evaluation of Embodied Navigation Agents

    Peter Anderson;Angel X. Chang;Devendra Singh Chaplot;Alexey Dosovitskiy

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

    Angel Chang;Angela Dai;Thomas Funkhouser;Maciej Halber

  • The Replica Dataset: A Digital Replica of Indoor Spaces.

    Julian Straub;Thomas Whelan;Lingni Ma;Yufan Chen

  • Example-based synthesis of 3D object arrangements

    Matthew Fisher;Daniel Ritchie;Manolis Savva;Thomas Funkhouser

  • Habitat: A Platform for Embodied AI Research

    Manolis Savva;Abhishek Kadian;Oleksandr Maksymets;Yili Zhao

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

    Manolis Savva;Nicholas Kong;Arti Chhajta;Li Fei-Fei

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

    Yinda Zhang;Shuran Song;Ersin Yumer;Manolis Savva

  • MINOS: Multimodal Indoor Simulator for Navigation in Complex Environments

    Manolis Savva;Angel X. Chang;Alexey Dosovitskiy;Thomas A. Funkhouser

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

    Erik Wijmans;Abhishek Kadian;Ari Morcos;Stefan Lee

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

    Armen Avetisyan;Manuel Dahnert;Angela Dai;Manolis Savva

  • Characterizing structural relationships in scenes using graph kernels

    Matthew Fisher;Manolis Savva;Pat Hanrahan

  • Deep convolutional priors for indoor scene synthesis

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

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

    Kai Wang;Yu-An Lin;Ben Weissmann;Manolis Savva

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

    Abhishek Kadian;Joanne Truong;Aaron Gokaslan;Alexander Clegg

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

    Dhruv Batra;Aaron Gokaslan;Aniruddha Kembhavi;Oleksandr Maksymets

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

    Kevin Chen;Christopher B. Choy;Manolis Savva;Angel X. Chang

Frequent Co-Authors

Angel X. Chang
Angel X. Chang Simon Fraser University
Thomas Funkhouser
Thomas Funkhouser Google (United States)
Dhruv Batra
Dhruv Batra Georgia Institute of Technology
Pat Hanrahan
Pat Hanrahan Stanford University
Shuran Song
Shuran Song Stanford University
Vladlen Koltun
Vladlen Koltun Apple (United States)
Christopher D. Manning
Christopher D. Manning Stanford University
Jitendra Malik
Jitendra Malik University of California, Berkeley
Stefan Lee
Stefan Lee Oregon State University
Angela Dai
Angela Dai Technical University of Munich

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