Savva, Manolis

ScanNet: Richly-Annotated 3D Reconstructions of Indoor Scenes

Dai, A., Chang, A. X., Savva, M., Halber, M., Funkhouser, T., & Niessner, M. (2017) · 2017 IEEE Conference on Computer Vision and Pattern Recognition (CVPR)

3D Shape Modeling and Analysis3D Surveying and Cultural Heritage

Cited by 4,368

ShapeNet: An Information-Rich 3D Model Repository

Chang, A. X., Funkhouser, T., Guibas, L., Hanrahan, P., Huang, Q., Li, Z., Savarese, S., Savva, M., Song, S., Su, H., et al. (2015) · arXiv

3D Shape Modeling and AnalysisImage Processing and 3D Reconstruction

Cited by 2,330

Matterport3D: Learning from RGB-D Data in Indoor Environments

Chang, A., Dai, A., Funkhouser, T., Halber, M., Niebner, M., Savva, M., Song, S., Zeng, A., & Zhang, Y. (2017) · 2017 International Conference on 3D Vision (3DV)

3D Surveying and Cultural Heritage3D Shape Modeling and Analysis

Cited by 1,858

Habitat: A Platform for Embodied AI Research

Savva, M., Kadian, A., Maksymets, O., Zhao, Y., Wijmans, E., Jain, B., Straub, J., Liu, J., Koltun, V., Malik, J., et al. (2019) · 2019 IEEE/CVF International Conference on Computer Vision (ICCV)

Reinforcement Learning in RoboticsRobotics and Sensor-Based Localization

Cited by 1,237

On evaluation of embodied navigation agents

Anderson, P., Chang, A., Chaplot, D. S., Dosovitskiy, A., Gupta, S., Koltun, V., Kosecka, J., Malik, J., Mottaghi, R., Savva, M., et al. (2018) · arXiv

Reinforcement Learning in RoboticsRobotic Path Planning Algorithms

Cited by 622

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

Kadian, A., Truong, J., Gokaslan, A., Clegg, A., Wijmans, E., Lee, S., Savva, M., Chernova, S., & Batra, D. (2020) · IEEE Robotics and Automation Letters

Reinforcement Learning in RoboticsRobotics and Sensor-Based Localization

Cited by 201

ObjectNav Revisited: On Evaluation of Embodied Agents Navigating to Objects

Batra, D., Gokaslan, A., Kembhavi, A., Maksymets, O., Mottaghi, R., Savva, M., Toshev, A., & Wijmans, E. (2020) · arXiv

Reinforcement Learning in RoboticsRobot Manipulation and Learning

Cited by 177

Habitat 2.0: Training home assistants to rearrange their habitat

Szot, A., Clegg, A., Undersander, E., Wijmans, E., Zhao, Y., Turner, J., Maestre, N., Mukadam, M., Chaplot, D., Maksymets, O., et al. (2021) · arXiv

Reinforcement Learning in RoboticsRobot Manipulation and Learning

Cited by 143

Rearrangement: A Challenge for Embodied AI

Batra, D., Chang, A. X., Chernova, S., Davison, A. J., Deng, J., Koltun, V., Levine, S., Malik, J., Mordatch, I., Mottaghi, R., et al. (2020) · arXiv

Robot Manipulation and LearningReinforcement Learning in Robotics

Cited by 109

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

Ramakrishnan, S. K., Gokaslan, A., Wijmans, E., Maksymets, O., Clegg, A., Turner, J., Undersander, E., Galuba, W., Westbury, A., Chang, A. X., et al. (2021) · arXiv

3D Shape Modeling and Analysis3D Surveying and Cultural Heritage

Cited by 106

Habitat-Matterport 3D Semantics Dataset

Yadav, K., Ramrakhya, R., Ramakrishnan, S. K., Gervet, T., Turner, J., Gokaslan, A., Maestre, N., Chang, A. X., Batra, D., Savva, M., et al. (2023) · 2023 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)

3D Shape Modeling and AnalysisReinforcement Learning in Robotics

Cited by 92

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

Khanna, M., Mao, Y., Jiang, H., Haresh, S., Shacklett, B., Batra, D., Clegg, A., Undersander, E., Chang, A. X., & Savva, M. (2024) · 2024 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)

Reinforcement Learning in RoboticsSpatial Cognition and Navigation

Cited by 63

Multion: Benchmarking semantic map memory using multi-object navigation

Wani, S., Patel, S., Jain, U., Chang, A. X., & Savva, M. (2020) · arXiv

Reinforcement Learning in RoboticsSpatial Cognition and Navigation

Cited by 56

Sceneseer:3d scene design with natural language.

Chang, A. X., Eric, M., Savva, M., & Manning, C. D. (2017) · arXiv

3D Shape Modeling and AnalysisComputer Graphics and Visualization Techniques

Cited by 38

Plan2Scene: Converting Floorplans to 3D Scenes

Vidanapathirana, M., Wu, Q., Furukawa, Y., Chang, A. X., & Savva, M. (2021) · 2021 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)

3D Shape Modeling and Analysis3D Surveying and Cultural Heritage

Cited by 32

Emergence of Maps in the Memories of Blind Navigation Agents

Wijmans, E., Savva, M., Essa, I., Lee, S., Morcos, A. S., & Batra, D. (2023) · AI Matters

Spatial Cognition and NavigationMemory and Neural Mechanisms

Cited by 17

Ego-Exo4D: Understanding Skilled Human Activity from First- and Third-Person Perspectives

Grauman, K., Westbury, A., Torresani, L., Kitani, K., Malik, J., Afouras, T., Ashutosh, K., Baiyya, V., Bansal, S., Boote, B., et al. (2025) · International Journal of Computer Vision

Human Pose and Action RecognitionContext-Aware Activity Recognition Systems

Cited by 3

Emergence of Maps in the Memories of Blind Navigation Agents

Wijmans, E., Savva, M., Essa, I., Lee, S., Morcos, A. S., & Batra, D. (2023) · arXiv

Spatial Cognition and NavigationReinforcement Learning in Robotics

Cited by 1