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Graduate Student

Carnegie Mellon University

Biography

I am a first year graduate student at The Robotics Institute (MSR), Carnegie Mellon University working with Prof. Katerina Fragkiadaki. I am interested in Computer Vision, Natural Language Processing and Embodied Learning. Previously, I received B.E. in Computer Science from BITS Pilani, Pilani Campus where I spent one year working with Prof. Katerina Fragkiadaki as a research assistant in Machine Learning Department, Carnegie Mellon University.

Interests

  • Computer Vision
  • Natural Language Processing

Education

  • Masters in Robotics, 2021-Present

    Carnegie Mellon University

  • B.E. in Computer Science, 2017-21

    BITS PILANI, Pilani Campus

News

[Aug 2021] I’ll be starting my Masters in Robotics at Carnegie Mellon University. I will also continue as a Research Assistant with Prof. Katerina Fragkiadaki.

[Aug 2020] I’ll be attending Google Research India’s AI Summer School (Computer Vision track) from August 20-22, 2020!

[May 2020] Joined Prof. Katerina Fragkiadaki’s Lab as Research Associate at Carnegie Mellon University.

Recent Publications

Language Modulated Detection and Detection Modulated Language Grounding in 2D and 3D Scenes

Existing language grounding models often use object proposal bottlenecks: a pre-trained detector …
In Submission. Arxiv and Code to be released soon.

Mapping Instructions to Goals for Robot Manipulation via Graph-Structured Energy-Based Concept Models

We propose a framework for robot instruction that maps language instructions to goal scene …
In Submission. Arxiv Version to be released soon.

Move to See Better: Towards Self-Improving Embodied Object Detection

Humans learn to better understand the world by moving around their environment to get more …
BMVC 2021.

AI-enabled Object Detection in Unmanned Aerial Vehicles for Edge Computing Applications

Unmanned Aerial Vehicles (UAVs) are emerging as a powerful tool for various industrial and smart …
IEEE Network. 2021.

VisDrone-DET2020: The Vision Meets Drone Object Detection in Image Challenge Results

The Vision Meets Drone Object Detection in Image Challenge (VisDrone-DET 2020) is the third annual …
ECCV 2020 Workshop.

Experience

 
 
 
 
 

Research Associate

Carnegie Mellon University

May 2020 – Jul 2021 Pittsburgh, Pennsylvania, USA
Under the supervision of Prof. Katerina Fragkiadaki, I worked on enabling an embodied agent to learn about objects without ground truth supervision in an unseen 3D environment just by moving around. I am currently working on embodied language grounding under weak supervision.
 
 
 
 
 

Research Assistant

BITS PILANI

Aug 2019 – Apr 2020 Rajasthan, India
As a research assistant, I worked under the guidance of Prof. Pratik Narang in computer vision. My team and I proposed a novel architectural design that improved the performance of previous methods by a substantial margin.

Projects

Towards Learning Spatial Common Sense Through Weak Supervision : A Comparitive Study

Reviewed, compared and analysed three recent papers proposed in generalising to novel views through the use of view-prediction …

ABB Robot Simulation

Built simulation of various tasks like writing a cursive and block alphabets on a paper and building complex curved designs using …

Named Entity Recognition from scratch

Built multilayer perceptron network for Named Entity Recognition on CONLL2003 dataset from scratch, implementing backpropagation and …

Compiler Construction

erplag-cc is a compiler for the custom language ERPLAG, written in C. The compiler generates assembly code that can be run on a Linux …

AI Minesweeper

An artificially agent created to play Minesweepers. external_link.

Earthquake Prediction and Management

Implemented Rundle et al.’s research paper for probabilistic prediction of earthquake based on nowcasting. Using the previous …

Teaching and Mentoring

I have served as a teaching assistant for the following courses at BITS Pilani:

  • CS F407 Artificial Intelligence, Fall 2020
  • CS F464 Machine Learning, Spring 2020
  • CS F111 Computer Programming, Spring 2019 and Fall 2019