Meenakshi Subhash Chippa

About me

I hold a master's degree in Applied Artificial Intelligence from Luleå University of Technology, Sweden (2024). My research interests include computer vision, representation learning, robust AI, agentic AI, and vision language models.

My master's thesis, "Robust Representation Learning for Mitigating Perspective Distortions," introduced Log Conformal Maps (LCM), a novel and computationally efficient approach for synthesizing perspective distortions and improving the robustness of visual representation learning. The work demonstrated state-of-the-art performance across multiple perspective distortion benchmarks and was subsequently accepted at the Asian Conference on Computer Vision (ACCV 2024).

Master Thesis: https://www.diva-portal.org/smash/record.jsf?pid=diva2%3A1902739&dswid=-30

Publications

LCM: Log Conformal Maps for Robust Representation Learning to Mitigate Perspective Distortion
Meenakshi Subhash Chippa, Prakash Chandra Chhipa, Kanjar De, Marcus Liwicki, Rajkumar Saini
Asian Conference on Computer Vision (ACCV), 2024 , pp. 3275–3291

Möbius Transform for Mitigating Perspective Distortions in Representation Learning
Meenakshi Subhash Chippa, Prakash Chandra Chhipa, Kanjar De, Marcus Liwicki, Rajkumar Saini
European Conference on Computer Vision (ECCV)