Saksham Suri

I am a third year Ph.D student in the department of Computer Science at University of Maryland (UMD), College Park, advised by Dr. Abhinav Shrivastava. My research lies in the field of computer vision and machine learning.

I completed my undergrad at IIIT Delhi (2015 - 2019) majoring in Computer Science and Engineering where I worked at IAB Lab and Precog. During the summer of 2018 I got the chance to intern at MCL at USC Viterbi Shool of Engineering. Post my graduation, I went for a short internship at IBM Research.

In the past, I have been fortunate to have worked with Rama Chellappa, Mayank Vatsa, Richa Singh, Ponnurangam Kumaraguru, C. -C. Jay Kuo, Anush Sankaran and many other super-talented people!

Email  /  CV  /  Google Scholar

I am interested in solving problems using less supervision. To this end my current research focuses on sparsely annotated object detection where images have missing object annotations.

Proposed an iterative algorithm for discovering images generated from GANs in an open world setup. Also show applications in an online never ending discovery.

We propose a novel framework which disentangles spatial and style information for image synthesis. A latent spatial layout for the target image is generated, which is used to produce per-pixel style modulation parameters for the final synthesis..

Incorporating task agnostic color, shape, texture and symmetry attributes to task specific deep learning classifiers for face recognition.

Propose a non deep learning based approach to handwritten digit synthesis which is more interpretable and does not require back-propogation.

Analyzing and identifying the presence of fake tech support accounts on twitter.

A novel approach to perform face recognition in the presence of plastic surgery and disguise.

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