Sohil Shah

"If I have the belief that I can do it, I shall surely acquire the capacity to do it, even if I may not have it at the beginning" - Mahatma Gandhi

Currently, I am a Research Scientist at Intel's Embodied AI Lab (previously Intelligent Systems Lab under Vladlen Koltun). Prior to this, I received my Doctorate from department of ECE at University of Maryland, College Park in 2018. My thesis titled "Optimization Algorithms Using Priors in Computer Vision" was co-advised by Prof. Tom Goldstein and Prof. Larry S. Davis. The thesis won ECE's Distinguished Dissertation Award - given to best dissertation for the year 2018. Since 2017, I continue to serve as reviewer for - TPAMI, CVPR, ECCV, ICCV, NeurIPS, ICLR, ICML, & AAAI.

During the course of my PhD at UMD, I was fortunate to intern at Xerox Labs and Intel Labs. Earlier, I worked as a Systems Design, Staff-I Engineer at Broadcom Corporation, Bangalore, India, in Mobile and Wireless group and a Design Engineer at Beceem Communications Pvt. Ltd in PHY-SW group. I obtained my Masters Degree in Electrical Engineering from IIT Bombay, India. During my masters, I was advised by Prof. Vikram Gadre at TI-DSP Research Lab. I graduated with bachelor's degree in Electrical and Communication Engineering from MIT, Anna University.

My research interest lies at the intersection of theoretical Machine Learning and practical Computer Vision. The problems in Computer Vision and Computationally Biology involving Generative Models, Graph Modeling, Numerical Optimization and Deep Neural Network interest me. In the past I have also researched on topics in Error Correcting Codes, Wireless and Green Energy Communication.


  • Received Outstanding Reviewer Award for CVPR 2019!

  • Joined Intel Labs as Research Scientist.

  • Attending ICLR 2018 at Vancouver, BC.

  • Defended PhD Dissertation successfully. My dissertation presentation slides can be downloaded from here.

  • Selected as winner of University of Maryland ECE Distinguished Dissertation Fellowship Award (2018). (given to outstanding PhD students in the ECE department)

  • One paper accepted at ICLR 2018.

  • The code for Robust Continuous Clustering is now online.

  • My work on Clustering with Vladlen Koltun from Intel Labs is accepted for publication in PNAS 2017.

  • Starting April 2017 - Advanced to candidacy.

  • Xerox awarded Travel grant of $2000 for ECCV 2016.

  • US Patent Application 15225936 filed for "Method and System for Multimedia Processing to identify Concepts in Multimedia."

  • Two papers accepted at ECCV 2016.

  • One paper accepted at CVPR 2016.

  • Summer and Fall 2016 - Interned at Intel Visual Computing Labs at Santa Clara.

  • Summer 2015 - Interned at Xerox Research Center India, Bangalore.


Molecular Conformation

  • Sohil Shah, and Vladlen Koltun, "ConfFlow: Conformation Generation using Transformer Flows", under review.

Graph Synthesis

Semantic Segmentation

Generative Adversarial Networks (GANs)

Continuous Clustering

Video Understanding

Semidefinite Programming

Block Sparsity