Sudarshan Rajagopalan

I am a second-year PhD student in the Vision and Image Understanding (VIU) Lab at Johns Hopkins University, advised by Prof. Vishal Patel. My research focuses on computer vision, specifically algorithms for image restoration leveraging recent advancements such as latent diffusion models, visual in-context learning, parameter-efficient fine-tuning, and vision-language models.

I completed my undergraduate studies at the Madras Institute of Technology, Anna University. I received the DAAD WISE scholarship for an internship with Prof. Eckehard Steinbach at TUM, Germany. I also worked with Prof. Kaushik Mitra at the Computational Imaging Lab, IIT Madras, on deep learning-based image restoration problems.

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News

December, 2024: One Paper accepted at AAAI 2025.

August, 2023: Joined VIU Lab, JHU as a PhD student.

December, 2022: One Paper accepted at AAAI Workshop 2023.

November, 2022: One Paper accepted at ICVGIP 2022 (spotlight).

Publications

Low-rank Adaptation-based All-Weather Removal for Autonomous Navigation

Sudarshan Rajagopalan, Vishal M. Patel

GenDeg: Diffusion-Based Degradation Synthesis for Generalizable All-in-One Image Restoration

Sudarshan Rajagopalan, Nithin Gopalakrishnan Nair, Jay N. Paranjape, Vishal M. Patel

AWRaCLe: All-Weather Image Restoration using Visual In-Context Learning

Sudarshan Rajagopalan, Vishal M. Patel

Remote Task-oriented Grasp Area Teaching By Non-Experts through Interactive Segmentation and Few-Shot Learning

Furkan Kaynar*, Sudarshan Rajagopalan*, Shaobo Zhou, Eckehard Steinbach

Spectrum-inspired Low-light Image Translation for Saliency Detection

Kitty Varghese, Sudarshan Rajagopalan, Mohit Lamba, Kaushik Mitra

Design and source code from Jon Barron's website