Mottaghi, Roozbeh

Target-driven visual navigation in indoor scenes using deep reinforcement learning

Zhu, Y., Mottaghi, R., Kolve, E., Lim, J. J., Gupta, A., Fei-Fei, L., & Farhadi, A. (2017) · 2017 IEEE International Conference on Robotics and Automation (ICRA)

Reinforcement Learning in RoboticsRobotics and Sensor-Based Localization

Cited by 1,533

The Role of Context for Object Detection and Semantic Segmentation in the Wild

Mottaghi, R., Chen, X., Liu, X., Cho, N.-G., Lee, S.-W., Fidler, S., Urtasun, R., & Yuille, A. (2014) · 2014 IEEE Conference on Computer Vision and Pattern Recognition

Advanced Neural Network ApplicationsAdvanced Image and Video Retrieval Techniques

Cited by 1,438

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

Detect What You Can: Detecting and Representing Objects Using Holistic Models and Body Parts

Chen, X., Mottaghi, R., Liu, X., Fidler, S., Urtasun, R., & Yuille, A. (2014) · 2014 IEEE Conference on Computer Vision and Pattern Recognition

Advanced Neural Network ApplicationsAdvanced Image and Video Retrieval Techniques

Cited by 605

AI2-THOR: An Interactive 3D Environment for Visual AI

Kolve, E., Mottaghi, R., Han, W., VanderBilt, E., Weihs, L., Herrasti, A., Deitke, M., Ehsani, K., Gordon, D., Zhu, Y., et al. (2017) · arXiv

Reinforcement Learning in RoboticsRobot Manipulation and Learning

Cited by 578

ALFRED: A Benchmark for Interpreting Grounded Instructions for Everyday Tasks

Shridhar, M., Thomason, J., Gordon, D., Bisk, Y., Han, W., Mottaghi, R., Zettlemoyer, L., & Fox, D. (2020) · 2020 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)

Multimodal Machine Learning ApplicationsRobot Manipulation and Learning

Cited by 540

RoboTHOR: An Open Simulation-to-Real Embodied AI Platform

Deitke, M., Han, W., Herrasti, A., Kembhavi, A., Kolve, E., Mottaghi, R., Salvador, J., Schwenk, D., VanderBilt, E., Wallingford, M., et al. (2020) · 2020 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)

Reinforcement Learning in RoboticsRobot Manipulation and Learning

Cited by 220

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

Simple but Effective: CLIP Embeddings for Embodied AI

Khandelwal, A., Weihs, L., Mottaghi, R., & Kembhavi, A. (2022) · 2022 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)

Reinforcement Learning in RoboticsMultimodal Machine Learning Applications

Cited by 172

ProcTHOR: Large-Scale Embodied AI Using Procedural Generation

Deitke, M., VanderBilt, E., Herrasti, A., Weihs, L., Salvador, J., Ehsani, K., Han, W., Kolve, E., Farhadi, A., Kembhavi, A., et al. (2022) · arXiv

Artificial Intelligence in GamesReinforcement Learning in Robotics

Cited by 155

Unified-IO: A Unified Model for Vision, Language, and Multi-Modal Tasks

Lu, J., Clark, C., Zellers, R., Mottaghi, R., & Kembhavi, A. (2022) · arXiv

Multimodal Machine Learning ApplicationsAdvanced Neural Network Applications

Cited by 145

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

Visual Room Rearrangement

Weihs, L., Deitke, M., Kembhavi, A., & Mottaghi, R. (2021) · 2021 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)

Robot Manipulation and LearningReinforcement Learning in Robotics

Cited by 98

ManipulaTHOR: A Framework for Visual Object Manipulation

Ehsani, K., Han, W., Herrasti, A., VanderBilt, E., Weihs, L., Kolve, E., Kembhavi, A., & Mottaghi, R. (2021) · 2021 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)

Robot Manipulation and LearningReinforcement Learning in Robotics

Cited by 81

GOAT: GO to Any Thing

Chang, M., Gervet, T., Khanna, M., Yenamandra, S., Shah, D., Min, S., Shah, K., Paxton, C., Gupta, S., Batra, D., et al. (2024) · Robotics: Science and Systems XX

Robot Manipulation and LearningRobotics and Sensor-Based Localization

Cited by 53

Navigating to Objects Specified by Images

Krantz, J., Gervet, T., Yadav, K., Wang, A., Paxton, C., Mottaghi, R., Batra, D., Malik, J., Lee, S., & Singh Chaplot, D. (2023) · 2023 IEEE/CVF International Conference on Computer Vision (ICCV)

Reinforcement Learning in RoboticsRobotics and Sensor-Based Localization

Cited by 34

Contrasting Contrastive Self-Supervised Representation Learning Pipelines

Kotar, K., Ilharco, G., Schmidt, L., Ehsani, K., & Mottaghi, R. (2021) · 2021 IEEE/CVF International Conference on Computer Vision (ICCV)

Domain Adaptation and Few-Shot LearningAdvanced Neural Network Applications

Cited by 28

GOAT-Bench: A Benchmark for Multi-Modal Lifelong Navigation

Khanna, M., Ramrakhya, R., Chhablani, G., Yenamandra, S., Gervet, T., Chang, M., Kira, Z., Chaplot, D. S., Batra, D., & Mottaghi, R. (2024) · 2024 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)

Reinforcement Learning in RoboticsRobot Manipulation and Learning

Cited by 23

Habitat 3.0: A Co-Habitat for Humans, Avatars, and Robots

Puig, X., Undersander, E., Szot, A., Cote, M. D., Yang, T.-Y., Partsey, R., Desai, R., Clegg, A. W., Hlavac, M., Min, S. Y., et al. (2023) · arXiv

Robot Manipulation and LearningSocial Robot Interaction and HRI

Cited by 15

PARTNR: A Benchmark for Planning and Reasoning in Embodied Multi-agent Tasks

Chang, M., Chhablani, G., Clegg, A., Cote, M. D., Desai, R., Hlavac, M., Karashchuk, V., Krantz, J., Mottaghi, R., Parashar, P., et al. (2024) · arXiv

Robot Manipulation and LearningAI-based Problem Solving and Planning

Cited by 0