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Roozbeh Mottaghi
 
I am no longer at Stanford. I have joined AI2 as a Research Scientist.


Postdoctoral Researcher
Computer Science Department
Stanford University

Email: roozbehm [at( allenai.org

Curriculum Vitae


Education

2008-2013    PhD, Computer Science, University of California, Los Angeles, Los Angeles, CA.
Advisor: Alan L. Yuille  
2006-2008    MSc, Computer Science, Georgia Institute of Technology, Atlanta, GA.  
2003-2006    MSc, Engineering Science (Electrical & Computer Engineering), Simon Fraser University, Burnaby, BC, Canada.  
1999-2003    BSc, Computer Engineering, Sharif University of Technology, Tehran, Iran. 

News

Jul, 2016    Our papers on "learning the effect of forces in images" and "a large-scale dataset for 3D object recognition" have been accepted to ECCV 2016.
 
May, 2016    We have released the code and the dataset for our "Newtonian Image Understanding" paper.
 
Mar, 2016    Our papers on "understanding the dynamics of objects" and "task-driven recognition" have been accepted to CVPR 2016.
 
May, 2015    Our paper on complexity analysis of compositional object models and their connection to deep neural nets has been accepted to Journal of Machine Learning Research (JMLR), Special Issue on Representation Learning.
 

Publications   (in reverse chronological order)

"What happens if..." Learning to Predict the Effect of Forces in Images [pdf]
Roozbeh Mottaghi, Mohammad Rastegari, Abhinav Gupta, Ali Farhadi
European Conference on Computer Vision (ECCV), 2016.

ObjectNet3D: A Large Scale Database for 3D Object Recognition [pdf][supplementary material]
Yu Xiang, Wonhui Kim, Wei Chen, Jingwei Ji, Christopher Choy, Hao Su, Roozbeh Mottaghi, Leonidas Guibas, Silvio Savarese
European Conference on Computer Vision (ECCV), 2016.

Newtonian Image Understanding: Unfolding the Dynamics of Objects in Static Images [pdf] [supplementary material][dataset and source code]
Roozbeh Mottaghi, Hessam Bagherinezhad, Mohammad Rastegari, Ali Farhadi
IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 2016.

A Task-oriented Approach for Cost-sensitive Recognition [pdf][supplementary material][dataset]
Roozbeh Mottaghi, Hannaneh Hajishirzi, Ali Farhadi
IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 2016.

Human-Machine CRFs for Identifying Bottlenecks in Scene Understanding [pdf][supp. material]
Roozbeh Mottaghi, Sanja Fidler, Alan Yuille, Raquel Urtasun, and Devi Parikh
IEEE Transactions on Pattern Analysis and Machine Intelligence (TPAMI), 38(1):74-87, 2016.

Complexity of Representation and Inference in Compositional Models with Part Sharing [pdf]
Alan Yuille and Roozbeh Mottaghi
Journal of Machine Learning Research (JMLR), 17(11):1-28, 2016.

A Coarse-to-Fine Model for 3D Pose Estimation and Sub-category Recognition [pdf][supp. material][dataset][CAD models]
Roozbeh Mottaghi, Yu Xiang, and Silvio Savarese
IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 2015.

Monocular Multiview Object Tracking with 3D Aspect Parts [pdf]
Yu Xiang*, Changkyu Song*, Roozbeh Mottaghi and Silvio Savarese (* equal contribution)
European Conference on Computer Vision (ECCV), 2014.

Beyond PASCAL: A Benchmark for 3D Object Detection in the Wild [pdf] [PASCAL3D+ dataset]
Yu Xiang, Roozbeh Mottaghi, and Silvio Savarese
IEEE Winter Conference on Applications of Computer Vision (WACV), 2014.

The Role of Context for Object Detection and Semantic Segmentation in the Wild [pdf][errata][PASCAL Context dataset v1.0]
Roozbeh Mottaghi, Xianjie Chen, Xiaobai Liu, Nam-Gyu Cho, Seong-Whan Lee, Sanja Fidler, Raquel Urtasun, Alan Yuille
IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 2014.

Detect What You Can: Detecting and Representing Objects using Holistic Models and Body Parts [pdf][PASCAL Parts dataset]
Xianjie Chen, Roozbeh Mottaghi, Xiaobai Liu, Sanja Fidler, Raquel Urtasun, Alan Yuille
IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 2014.
Complexity of Representation and Inference in Compositional Models with Part Sharing [pdf] [reviews] (Oral)
Alan Yuille and Roozbeh Mottaghi
International Conference on Learning Representations (ICLR), 2013.
Analyzing Semantic Segmentation Using Hybrid Human-Machine CRFs [pdf] [supp. material]
Roozbeh Mottaghi, Sanja Fidler, Jian Yao, Raquel Urtasun, Devi Parikh
IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 2013.
Bottom-up Segmentation for Top-down Detection [pdf] [project page]
Sanja Fidler, Roozbeh Mottaghi, Alan Yuille, Raquel Urtasun
IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 2013.
Augmenting Deformable Part Models with Irregular-shaped Object Patches [pdf] [supp. material]
Roozbeh Mottaghi
IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 2012.
A Compositional Approach to Learning Part-based Models of Objects [pdf]
Roozbeh Mottaghi, Ananth Ranganathan, and Alan Yuille
Workshop on 3D Representation and Recognition, held with the International Conference on Computer Vision, (ICCV), 2011.
The code for extraction of HOG Bundles is available here.
Graph-based Planning Using Local Information for Unknown Outdoor Environments [pdf]
Jinhan Lee, Roozbeh Mottaghi, Charles Pippin, and Tucker Balch
International Conference on Robotics and Automation (ICRA), 2009.
Place Recognition-based Fixed-lag Smoothing for Environments with Unreliable GPS [pdf]
Roozbeh Mottaghi, Michael Kaess, Ananth Ranganathan, Richard Roberts, and Frank Dellaert
International Conference on Robotics and Automation (ICRA), 2008.
Related Video Clip
An Integrated Particle Filter and Potential Field Method Applied to Multi-Robot Target Tracking [pdf]
Roozbeh Mottaghi, and Richard Vaughan
Autonomous Robots Journal, 23(1):19-35, 2007.
Related Video Clips: clip 1 and clip 2
An Integrated Particle Filter & Potential Field Method for Cooperative Robot Target Tracking [pdf]
Roozbeh Mottaghi and Richard Vaughan
International Conference on Robotics and Automation (ICRA), 2006.
An Overview of a Probabilistic Tracker for Multiple Cooperative Tracking Agents [pdf]
Roozbeh Mottaghi and Shahram Payandeh
International Conference on Advanced Robotics (ICAR), 2005.
Coordination of Multiple Agents for Probabilistic Object Tracking [pdf]
Roozbeh Mottaghi and Shahram Payandeh
Canadian Conference on Computer and Robot Vision (CRV), 2005.
SharifCESR Small Size Robocup Team [pdf]
Mohammad T. Manzuri, Hamid R. Chitsaz, Reza Ghorbani, Pooya Karimian, Alireza Mirazi, Mehran Motamed, Roozbeh Mottaghi and Payam Sabzmeydani
A. Birk, S. Coradeschi and S. Tadokoro editors
Robocup 2001: Robot Soccer World Cup V. Lecture Notes in Artificial Intelligence 2377, Springer-Verlag, Berlin, 2002.
Other Projects


Map of SFU TASC I buliding built by our Pioneer robot. Click on the image to enlarge.

The source code and the results for re-implementation of Online Selection of Discriminative Tracking Features by R. Collins et al. are available here.

I worked on the Small Size Soccer-playing robots project as an undergraduate research assistant. Photos: Seattle, USA 2001 competitions and Fukuoka, Japan 2002 competitions

Teaching

Winter 2010    TA, Introduction to Computer Science I, UCLA 
Fall 2009    TA, Introduction to Computer Science I, UCLA 
Fall 2008    TA, Computer Network Fundamentals, UCLA 
Fall 2005    TA, Computer Architecture, Simon Fraser University 
Spring 2001    TA, Assembly Language & System Programming, Sharif University of Technology  
Spring 2001    TA, Pascal Programming, Sharif University of Technology  

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