Roozbeh Mottaghi
Roozbeh Mottaghi
Allen Institute for Artificial Intelligence
在 cs.stanford.edu 的电子邮件经过验证 - 首页
标题
引用次数
引用次数
年份
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
9682016
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
857*
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
6062014
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
398*
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
2292017
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
2212016
On Evaluation of Embodied Navigation Agents
P Anderson, A Chang, DS Chaplot, A Dosovitskiy, S Gupta, V Koltun, ...
arXiv preprint arXiv:1807.06757, 2018
2002018
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
1662013
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
131*2015
Visual Semantic Planning using Deep Successor Representations
Y Zhu, D Gordon, E Kolve, D Fox, L Fei-Fei, A Gupta, R Mottaghi, ...
arXiv preprint arXiv:1705.08080, 2017
1022017
Visual Semantic Navigation using Scene Priors
W Yang, X Wang, A Farhadi, A Gupta, R Mottaghi
arXiv preprint arXiv:1810.06543, 2018
882018
" What happens if..." Learning to Predict the Effect of Forces in Images
R Mottaghi, M Rastegari, A Gupta, A Farhadi
arXiv preprint arXiv:1603.05600, 2016
862016
A Coarse-to-Fine Model for 3D Pose Estimation and Sub-category Recognition
R Mottaghi, Y Xiang, S Savarese
arXiv preprint arXiv:1504.02764, 2015
792015
SeGAN: Segmenting and Generating the Invisible
K Ehsani, R Mottaghi, A Farhadi
arXiv preprint arXiv:1703.10239, 2017
652017
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
642019
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
622018
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
602019
Analyzing Semantic Segmentation Using Hybrid Human-Machine CRFs
R Mottaghi, S Fidler, J Yao, R Urtasun, D Parikh
Computer Vision and Pattern Recognition (CVPR), 2013 IEEE Conference on …, 2013
442013
Monocular multiview object tracking with 3d aspect parts
Y Xiang, C Song, R Mottaghi, S Savarese
Computer Vision–ECCV 2014, 220-235, 2014
392014
Who Let The Dogs Out? Modeling Dog Behavior From Visual Data
K Ehsani, H Bagherinezhad, J Redmon, R Mottaghi, A Farhadi
arXiv preprint arXiv:1803.10827, 2018
322018
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