Arsalan Mousavian

Address:

NVIDIA
4545 Roosevelt Way, 6th Floor
Seattle, WA, 98105

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

Since August 2018, I am a research scientist at NVIDIA robotics research lab in Seattle. My research interests lies in using 3D perception for robotics tasks. These days, I am mainly working on model-free object manipulation in unconstrained environments and 3D understanding of the scene from RGB-D images. Prior to that, I graduated with a PhD from the Computer Science department at George Mason University where I was working under the supervision of Prof. Jana Kosecka. During my PhD, I worked on a variety of computer vision problems for robot perception such as: vision based navigation, object pose estimation, object detection, semantic segmentation and image based localization. I was fortunate to work with amazing collaborators in different research groups in industry. I did internships at Google Brain Robotics, Zoox, and Google StreetView during my PhD.

News:

September 2019: Our paper on instance segmentation for unknown object got accepted to CoRL 2019.
July 2019: Our paper on 6-DOF grasping of unknown objects got accepted to ICCV 2019.
May 2019: Our paper got accepted to RSS 2019.
January 2019: Our paper got accepted to ICRA 2019.
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:

		The Best of Both Modes: Separately Leveraging RGB and Depth for Unseen Object Instance Segmentation Christopher Xie, Yu Xiang, Arsalan Mousavian, Dieter Fox Conference on Robot Learning (CoRL), Osaka, Japan, 2019 [Paper] [Video] [Projet Page] [bibtex]

		6-DOF GraspNet: Variational Grasp Generation for Object Manipulation Arsalan Mousavian, Clemens Eppner, Dieter Fox International Conference on Computer Vision (ICCV), Seoul, South Korea, 2019 [Paper] [Video] [bibtex]

		PoseRBPF: A Rao-Blackwellized Particle Filter for 6D Object Pose Tracking Xinke Deng, Arsalan Mousavian, Yu Xiang, Fei Xia, Tim Bretl, Dieter Fox Robotics: Science and Systems Conference (RSS) Freiburg, Germany, 2019 [Paper] [Video] [TechXplore Article] [bibtex]

		Visual Represenatations for Semantic Target Driven Navigation Arsalan Mousavian, Alexander Toshev, Marek Fiser, Jana Kosecka, James Davidson International Conference on Robotics and Automation (ICRA) Montreal, Canada, 2019 [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]