I’m a final year graduate student in the MS/PhD programme at the UMass Computer Vision Lab. I am primarily advised by Prof. Erik Learned-Miller, and co-advised by Profs. Liangliang Cao and Subhransu Maji.

My broad interests are in label-efficient approaches to learning, focusing on leveraging contextual cues such as temporal continuity in videos or object co-occurrences in scenes. I have worked on projects spanning unsupervised domain adaptation, object detection, fine-grained recognition and face recognition. Please check my Publications page for more details on my research.

I am on the job market. Here is a link to my [CV].

I maintain the website for FDDB - a benchmark for detecting faces. I have been a reviewer for CVPR, ICCV, NIPS/NeurIPS and the journals TPAMI and CVIU. At UMass I help organize the Machine Learning and Friends Lunch (MLFL) seminar series. Earlier, I was involved in GRiD, a multidisciplinary graduate student organisation for data science.

This summer (2019) I am going to intern with NEC Labs in San Jose. Earlier, I spent two happy summers in 2017 and 2014 interning at The Mathworks Inc. with the Computer Vision Toolbox team.

In the past I had worked on scene text detection and handwriting recognition at the Indian Statistical Institute, Kolkata. My mentors there had been Profs Ujjwal Bhattacharya and Swapan K Parui.