Roozbeh Mottaghi
Roozbeh Mottaghi
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Target-driven Visual Navigation in Indoor Scenes using Deep Reinforcement Learning
Y Zhu, R Mottaghi, E Kolve, JJ Lim, A Gupta, L Fei-Fei, A Farhadi
arXiv preprint arXiv:1609.05143, 2016
The Role of Context for Object Detection and Semantic Segmentation in the Wild
R Mottaghi, X Chen, X Liu, NG Cho, SW Lee, S Fidler, R Urtasun, A Yuille
Beyond pascal: A benchmark for 3D object detection in the wild
Y Xiang, R Mottaghi, S Savarese
IEEE Winter Conference on Applications of Computer Vision (WACV), 2014
AI2-THOR: An Interactive 3D Environment for Visual AI
E Kolve, R Mottaghi, D Gordon, Y Zhu, A Gupta, A Farhadi
arXiv preprint arXiv:1712.05474, 2017
OK-VQA: A Visual Question Answering Benchmark Requiring External Knowledge
K Marino, M Rastegari, A Farhadi, R Mottaghi
Proceedings of the IEEE Conference on Computer Vision and Pattern …, 2019
On Evaluation of Embodied Navigation Agents
P Anderson, A Chang, DS Chaplot, A Dosovitskiy, S Gupta, V Koltun, ...
arXiv preprint arXiv:1807.06757, 2018
Detect What You Can: Detecting and Representing Objects using Holistic Models and Body Parts
X Chen, R Mottaghi, X Liu, S Fidler, R Urtasun, A Yuille
ALFRED: A Benchmark for Interpreting Grounded Instructions for Everyday Tasks
M Shridhar, J Thomason, D Gordon, Y Bisk, W Han, R Mottaghi, ...
arXiv preprint arXiv:1912.01734, 2019
ObjectNet3D: A Large Scale Database for 3D Object Recognition
Y Xiang, W Kim, W Chen, J Ji, C Choy, H Su, R Mottaghi, L Guibas, ...
European Conference on Computer Vision, 160-176, 2016
Visual Semantic Navigation using Scene Priors
W Yang, X Wang, A Farhadi, A Gupta, R Mottaghi
arXiv preprint arXiv:1810.06543, 2018
Unified-IO: A Unified Model for Vision, Language, and Multi-Modal Tasks
J Lu, C Clark, R Zellers, R Mottaghi, A Kembhavi
arXiv preprint arXiv:2206.08916, 2022
Learning to Learn How to Learn: Self-Adaptive Visual Navigation Using Meta-Learning
M Wortsman, K Ehsani, M Rastegari, A Farhadi, R Mottaghi
arXiv preprint arXiv:1812.00971, 2018
A-OKVQA: A Benchmark for Visual Question Answering using World Knowledge
D Schwenk, A Khandelwal, C Clark, K Marino, R Mottaghi
arXiv preprint arXiv:2206.01718, 2022
RoboTHOR: An Open Simulation-to-Real Embodied AI Platform
M Deitke, W Han, A Herrasti, A Kembhavi, E Kolve, R Mottaghi, J Salvador, ...
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2020
ObjectNav Revisited: On Evaluation of Embodied Agents Navigating to Objects
D Batra, A Gokaslan, A Kembhavi, O Maksymets, R Mottaghi, M Savva, ...
arXiv preprint arXiv:2006.13171, 2020
Bottom-up segmentation for top-down detection
S Fidler, R Mottaghi, A Yuille, R Urtasun
Computer Vision and Pattern Recognition (CVPR), 2013 IEEE Conference on …, 2013
Simple but Effective: CLIP Embeddings for Embodied AI
A Khandelwal, L Weihs, R Mottaghi, A Kembhavi
arXiv preprint arXiv:2111.09888, 2021
SeGAN: Segmenting and Generating the Invisible
K Ehsani, R Mottaghi, A Farhadi
arXiv preprint arXiv:1703.10239, 2017
Rearrangement: A Challenge for Embodied AI
D Batra, AX Chang, S Chernova, AJ Davison, J Deng, V Koltun, S Levine, ...
arXiv preprint arXiv:2011.01975, 2020
Newtonian Image Understanding: Unfolding the Dynamics of Objects in Static Images
R Mottaghi, H Bagherinezhad, M Rastegari, A Farhadi
arXiv preprint arXiv:1511.04048, 2015
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