Agrim Gupta


I am a second year master's student at Stanford University. At Stanford I am working with the SNAP group under Prof. Jure Leskovec and Stanford Vision Lab headed by Prof. Fei-Fei Li. I did B.E. in Electrical and Electronics Engineering from Birla Institute of Technology and Science, Pilani after which I worked for a year at Intel, Bangalore as a Graphics Hardware Engineer. I am interested in deep learning and its applications to computer vision.


Projects

Pedestrian Attribute Detection using CNN
Agrim Gupta* & Jayanth Ramesh*
[pdf] [poster]

Social Recommendation System Leveraging Heterogeneity of Relations in a Social Network
Pulkit Agrawal*, Jayanth Ramesh* & Agrim Gupta*
[pdf] [poster]

Community Detection based on Music Listening Habits
Agrim Gupta*, Karan Rai* & Nehal Bhandari*
[pdf]

* Equal contribution


Research Experience

Research Assistant, SNAP Group
As a research assistant I have been working on adding features to SNAP library (C++). Some of the projects I have worked on are:

  • Temporal Cascade Detection [pdf] [code]
  • Miner Bio Dataset [code]
  • 64-Bit SNAP : Making SNAP 64-bit compliant

Independent Researcher, Stanford Vision Lab
I am working with the Vision Lab at Stanford on neural style transfer. Stay tuned for more info.

Research Intern, University of Southern California
As a research intern I developed a parameterized Image Convolution architecture which was optimized for energy efficiency by using memory scheduling and reduction in latency by increased parallelism. [pdf]