Jun 2024 – Feb 2025 · 8 mos · Bengaluru, Karnataka, India · On-site

May 2023 – Jul 2023 · 2 mos · Munich, Bavaria, Germany · On-site

• Formulated a generative model, seamlessly linking Optoacoustic Sensing to Imaging to generate 3D RSOM Image Volumes.
• Led the development of diffusion models(LDM, DDPMs) on Nerve Filament data for robust transformation.
• Adapted the generative model from 2D to 3D domain to efficiently generate small-scale medical datasets.

May 2022 – Jul 2022 · 2 mos

Nov 2021 – Nov 2022 · 1 yr

• Worked on Generative Adversarial Networks (GANs) under the supervision of Prof. R Venkatesh Babu at IISc, Bangalore, addressing the problem of class-specific mode collapse and class confusion in long-tailed data distributions in Computer Vision.
• Developed augmentation strategies based on contrastive self-supervised learning in the conditional latent space to mitigate class confusion, outperforming previous methods by 19% on FID.
• Introduced Intra-FID metric to assess image quality for class confusion & mode collapse in long-tailed data.
• Work published at CVPR 2023.

May 2021 – Jul 2021 · 2 mos · Hyderabad, Telangana, India

• Worked on the topic of Semantic Segmentation on Remote Sensing Images under the guidance of Prof. C Krishna Mohan in the Visual Learning and Intelligence (VIGIL) Lab at IITH.