Shivang Chopra

Shivang Chopra

CS Ph.D. Student

Georgia Institute of Technology

About Me

I am a Ph.D. student in Computer Science at the Robotics Perception and Learning Lab (RIPL), Georgia Institute of Technology, advised by Prof. Zsolt Kira. My research focuses on theoretical machine learning and computer vision, with an emphasis on enhancing the adaptability and generalization capabilities of foundation models.

Prior to this, I completed a Masters by Research in Computer Science at Georgia Tech, where my thesis explored efficient and robust fine-tuning of Vision-Language Models. During my Master’s program, I also gained industry experience as a Computer Vision Research Intern at the Sony R&D Center, Switzerland (Fall 2023 - Spring 2024) and as an Applied Scientist Intern at Amazon Science, Seattle (Summer 2023).

Before my time at Georgia Tech, I worked at Microsoft Research India (MSRI) under the supervision of Dr. Venkat Padmanabhan (Managing Director, MSRI), where I contributed to Project HyWay.

Interests
  • Robustness
  • Efficiency
  • Distribution Shift
  • Vision Language Models
  • Diffusion Models
  • Computer Vision
Education
  • Ph.D. in Computer Science, 2028

    Georgia Institute of Technology

  • Master's in Computer Science, 2024

    Georgia Institute of Technology

  • B.Tech. in Computer Science, 2020

    Delhi Technological University

Recent News

  • January 2025: Started my Ph.D. in Computer Science at Georgia Institute of Technology.
  • December 2024: Successfully defended my Masters thesis.
  • Sept 2023: Started working as a Computer Vision Research Intern at Sony R&D Center, Switzerland.
  • Aug 2023: Full paper titled “Learning to Discern: Imitating Heterogeneous Human Demonstrations with Preference and Representation Learning” accepted at CORL 2023.
  • May 2023: Started working as an Applied Scientist Intern at Amazon, Seattle.
  • April 2023: Full paper titled “HyWay: Enabling Unstructured Conversations in the New Hybrid World” accepted at UbiComp 2023 (IMWUT).
  • April 2023: Workshop paper titled “Symbiotic Artificial Intelligence: Order Picking and Ambient Sensing” accepted at the Ambient AI Workshop in ICASSP 2023.
  • August 2022: Started my Master’s in Computer Science at Georgia Institute of Technology.
  • July 2022: Workshop paper titled “Active Data Discovery: Mining Unknown Data using Submodular Information Measures” accepted at the Real World ML Workshop in ICLM 2022.
  • May 2022: Started my research internship in Team HyWay at Microsoft Research Lab, India.
  • July 2021: Started my research internship at the Faryabi Lab at University of Pennsylvania.
  • June 2020: Started my research internship at IBM Research Lab, India.
  • May 2024: Successfully defended my Bachelors thesis.
  • January 2020: Highlight paper titled “Attention-based Sketch Recognition using Transformers” accepted at ECAI 2020.
  • December 2019: Short paper titled “Utilizing Temporal Psycholinguistic Cues for Suicidal Intent Estimation” accepted at ECIR 2020.
  • November 2019: Full paper titled “Hindi-English Hate Speech Detection: Author Profiling, Debiasing, and Practical Perspectives” accepted at AAAI 2020.
  • Aug 2019: Started my research internship at MIDAS Lab, IIIT Delhi.

Selected Publications

(2024). CRAFT: Curriculum Rank Adversarial Fine-Tuning for Robust Vision Language Models. Under review at the IEEE/CVF Conference on computer vision and pattern recognition (CVPR), 2025.

(2024). Directional Gradient Projection for Robust Fine-tuning of Foundation Models. Under review at the International Conference on Learning Representations (ICLR), 2025.

(2024). FRAMES-VQA: Benchmarking Fine-Tuning Robustness across Multi-Modal Shifts in Visual Question Answering. Under review at the IEEE/CVF Conference on computer vision and pattern recognition (CVPR), 2025.

(2024). Refining Text-to-Image Generation: Towards Accurate Training-Free Glyph-Enhanced Image Generation. Proceedings of the IEEE/CVF Winter Conference on Applications of Computer Vision (WACV), 2025.

PDF

(2022). Learning to Discern: Imitating Heterogeneous Human Demonstrations with Preference and Representation Learning. Proceedings of the 7th Annual Conference on Robot Learning (CoRL).

PDF DOI

Experience

 
 
 
 
 
Sony R&D
Computer Vision Research Intern
September 2023 – April 2024 Zurich, Switzerland
I worked for eight months in the Advanced Sensors & Modelling Group at Sony R&D Lab on real-time ball tracking and spin estimation using Event-based Vision Sensors (EVS) for a Table Tennis robot.
 
 
 
 
 
Amazon Science
Applied Scientist Intern
May 2023 – August 2023 Seattle, WA
I worked for three months as an applied scientist intern in the Amazon Selection and Catalog Systems (ASCS) team at Amazon Science where I developed a product recommendation system for newly onboarded products on Amazon.com.
 
 
 
 
 
Microsoft Research Lab, India
Research Intern
May 2022 – August 2022 Bangalore, India
I worked as a research intern at Microsoft Research Lab, India in project HyWay, a computer vision based video conferencing system for hybrid workplaces.
 
 
 
 
 
University of Texas, Dallas
Research Assistant
March 2022 – July 2022 Remote
I worked as a research assistant at CARAML Lab at UT Dallas on the problem of unknown class data discovery using Active Learning.
 
 
 
 
 
Codenation Innovation Labs
Software Engineer
September 2020 – April 2022 Bangalore, India
I worked as a full-time Software Engineer at CodeNation Innovation Labs for two years, contributing to multiple projects, including web-based applications built with React and Android/iOS applications developed using Kotlin and Swift.
 
 
 
 
 
IBM Research Lab
Research Intern
June 2020 – August 2020 Delhi, India
I worked as a research intern at IBM Research Lab, India on the problem of real-time explicit content detection in videos.

Contact

  • You can reach me at shivangchopra11 [at] gatech [dot] edu
  • CODA Building, S1106C, 11th Floor, 756 West Peachtree St NW, Atlanta, GA 30332