Arsalan Mousavian

Address:

Department of Computer Science
George Mason University
4400 University Dr
Fairfax, Virginia, USA

Email:

amousavi AT gmu DOT edu


2004 - 2010	2010 - 2013	June-Aug 2015	June-Aug 2016	June-Aug 2017	Aug 2017 - May 2018	2013 - 2018

I graduated from PhD at Computer Science department of George Mason University. I worked under supervision of Jana Kosecka. My research interests are computer vision, deep learning, and robotics. I worked on semantic and 3D understanding of the scene and how to use it to navigate in indoor environments. In my research, I have worked on Learning based navigation in indoor environments, 3D pose estimation, Semantic Segmentation, Depth Estimation, Instance detection, and Image based localization. I have done internship in StreetSmart team of Google inc and in perception team of Zoox inc where I worked with great team of researchers and engineers solving real computer vision problems for autonomous driving. I spent the last year of my PhD at Google Brain Robotics team where I worked on learning to navigate in indoor environments. Prior to my PhD, I got my masters in Robotics and Artificial Intelligence in University of Tehran.

News:

June 2018: I defended my dissertation and graduated from PhD program.
May 2018: Received outstanding graduate student award in CS department.
I will be joining Google Brain team as visiting researcher for academic year of 2017.
April 2017: Our paper got accepted to RSS 2017 conference.
February 2017: Our paper is covered by IEEE Spectrum and Forbes.
February 2017: Our paper got accepted to CVPR 2017 conference.
September 2016: Two papers got accepted in 3DV 2016 conference.
March 2016: Second place in Computer Science PhD Symposium of George Mason University.

Publications:

		Visual Represenatations for Semantic Target Driven Navigation Arsalan Mousavian, Alexander Toshev, Marek Fiser, Jana Kosecka, James Davidson arXiv 2018 [Paper] [bibtex]

		Synthesizing Training Data for Object Detection in Indoor Scenes Georgios Georgakis, Arsalan Mousavian, Alexander C. Berg, Jana Kosecka Robotics: Science and Systems Conference (RSS), Cambridge MA, 2017 [Paper] [bibtex]

		3D Bounding Box Estimation Using Deep Learning and Geometry Arsalan Mousavian, Dragomir Anguelov, John Flynn, Jana Kosecka IEEE Conference on Computer Vision and Pattern Recognition (CVPR), Honolulu HI, 2017 [Paper] [Supplementary Material] [bibtex] [IEEE Spectrum][Forbes] Estimated 3D Boxes on the split of 3DVP: [Download Link]

		Joint Semantic Segmentation and Depth Estimation with Deep Convolutional Networks Arsalan Mousavian, Hamed Pirsiavash, Jana Kosecka International Conference on 3DVision(3DV), Stanford CA, 2016 [Paper] [bibtex]

		Multiview RGB-D Dataset for Object Instance Detection Georgios Georgakis, Md Alimoor Reza, Arsalan Mousavian, Phi-Hung Le, Jana Kosecka International Conference on 3DVision(3DV), Stanford CA, 2016 [Paper] [Dataset Link] [bibtex]

		Semantic Image Based Geolocation Given a Map Arsalan Mousavian, Jana Kosecka arXiv 2016 [Paper]

		Deep Convolutional Features for Image Based Retrieval and Scene Categorization Arsalan Mousavian, Jana Kosecka arXiv 2015 [Paper] [bibtex]

		Semantically Guided Location Recognition for Outdoors Scenes Arsalan Mousavian, Jana Kosecka, Jyh-Ming Lien. International Conference on Automation and Robotics (ICRA), Seattle WA, 2015 [Paper] [bibtex]

		Semantically Aware Bag-of-words for Localization Arsalan Mousavian, Jana Kosecka. Computer Vision and Pattern Recognition 2015 workshop on Semantic for Visual Reconstruction, Localization, and Mapping (CVPRW), Boston, MA, 2015 [Paper] [bibtex]

Relevant Coursework:

CSI 747- Nonlinear Optimization, A
CS 685- Autonomous Robotics, A
CS 689- Planning Motions of Robots, A+
CS 600- Theory of Computation, A
CS 583- Analysis of Algorithms I, A
UT- Computer Vision, A+
UT- Pattern Recognition, A
UT- Machine Learning, A
UT- Advanced Robotics, A+
UT- Social Network Analysis, A