Soumyadip Sengupta

I am a Postdoctoral Research Associate in Computer Science & Engineering at University of Washington. I am working with Prof. Steve Seitz, Prof. Brian Curless and Prof. Ira Kemelmacher-Shlizerman in the UW Reality Lab and GRAIL.

I completed my Ph.D. (Aug 2013 - Jan 2019) from University of Maryland, College Park (UMD), advised by Prof. David Jacobs and my undergraduate degree (2009-2013) in ECE from Jadavpur University, Kolkata, India.

I also had the pleasure to work with:

Jinwei Gu, Kihwan Kim, Guilin Liu and Jan Kautz at NVIDIA Research (April-Nov 2018)
Linjie Luo and Chen Cao at Snapchat Research (May-Aug 2017)
Prof. Tom Goldstein at UMD (2015-2017)
Prof. Ronen Basri at Faculty of Mathematics and Computer Science, The Weizmann Institute of Science, Israel (June 2015 - June 2016)
Prof. Günter Rudolph at TU Dortmund, Germany, under DAAD schoalrship (May-Aug 2012).

Resume/CV

Contact

Email: soumya91 at cs.washington.edu
Website: Google Scholar
Office: CSE2 267, The Bill & Melinda Gates Center
Mail: Paul G. Allen School of Computer Science & Engineering,
niversity of Washington, Seattle

Research Interest

My interest lies at the intersection of Computer Vision, Computer Graphics and Machine Learning. My research deals with the problem of Inverse Graphics, i.e. recovering the underlying geometry, reflectance and illumination properties of a scene, from a limited number of observations. I am interested in using physics-based vision and large amount of labeled synthetic and unlabeled real world images in a learning based framework. I am also excited to produce really cool Augmented and Virtual Reality experiences using these ideas.

Selected Publications

Computer Vision and Machine Learning:

	Neural Inverse Rendering of an Indoor Scene from a Single Image Soumyadip Sengupta, Jinwei Gu, Kihwan Kim, Guilin Liu, David Jacobs, Jan Kautz (Accepted ICCV 2019) [Paper]
	SfSNet : Learning Shape, Reflectance and Illuminance of Faces in the Wild Soumyadip Sengupta, Angjoo Kanazawa, Carlos D. Castillo, David Jacobs. CVPR 2018 [Spotlight]. [Paper] [Project Page / Code]
	A New Rank Constraint on Multi-view Fundamental Matrices, and its Application to Camera Location Recovery Soumyadip Sengupta, Tal Amir, Meirav Galun, Amit Singer, Tom Goldstein, David Jacobs, Ronen Basri. CVPR 2017 [Spotlight]. [Paper] [Code]
	Solving Uncalibrated Photometric Stereo Using Fewer Images by Jointly Optimizing Low-rank Matrix Completion and Integrability Soumyadip Sengupta, Hao Zhou, Walter Forkel, Ronen Basri, Tom Goldstein, David Jacobs. Journal of Mathematical Imaging and Vision (JMIV), 2018. [Paper]
	Frontal to Profile Face Verification in the Wild Soumyadip Sengupta, Jun-Cheng Chen, Carlos D. Castillo, Vishal M. Patel, Rama Chellappa, David Jacobs. WACV 2016. [Project Page] , [Paper]
	A Frequency Domain Approach to Silhouette Based Gait Recognition Soumyadip Sengupta, Udit Halder, Rameshwar Panda, Ananda S Chowdhury. NCVPRIPG 2013. [Paper]

Multi-objective Optimization:

“An evolutionary multiobjective sleep-scheduling scheme for differentiated coverage in wireless sensor networks”, Soumyadip Sengupta, Swagatam Das, Md Nasir, AV Vasilakos, Witold Pedrycz, IEEE Transactions Systems, Men and Cybernetics - Part C, 2012. [Paper]
“A dynamic neighborhood learning based particle swarm optimizer for global numerical optimization”, Md Nasir, Swagatam Das, Dipankar Maity, Soumyadip Sengupta, Udit Halder, PN Suganthan, Elsevier Information Sciences, 2012. [Paper]
“Evenly spaced pareto front approximations for tricriteria problems based on triangulation”, Günter Rudolph, Heike Trautmann, Soumyadip Sengupta, Oliver Schütze, Evolutionary Multi-Criterion Optimization, 2013.[Paper]

Teaching

Teaching Assistant: ENEE 222 Spring 2014 : Elements of Discrete Signal Analysis
Teaching Assistant: ENEE 420 Fall 2013 : Communications Systems