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	2018 - now

I joined NVIDIA Robotics Lab in Seattle.
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:

August 2018: Joined NVIDIA Robotics lab as Research Scientist.
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 ECCV Workshop (ECCVw) on Visual Learning and Embodied Agents in Simulation Environments, Munich, Germany, 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