Blind Single Image Reflection Suppression for Face Images using Deep Generative Priors. - Paramanand Chandramouli; Kanchana Vaishnavi Gandikota (ICCV Workshops, 2019)

A Simple Domain Shifting Network for Generating Low Quality Images. - Guruprasad M. Hegde; Avinash Nittur Ramesh; Kanchana Vaishnavi Gandikota; Roman Obermaisser; Michael Moeller 001 (ICPR, 2020)

Generative Models for Generic Light Field Reconstruction. - Paramanand Chandramouli; Kanchana Vaishnavi Gandikota; Andreas Görlitz; Andreas Kolb 001; Michael Moeller 001 (CoRR, 2020)

Training or Architecture? How to Incorporate Invariance in Neural Networks. - Kanchana Vaishnavi Gandikota; Jonas Geiping; Zorah Lähner; Adam Czaplinski; Michael Möller 001 (CoRR, 2021)

A Simple Strategy to Provable Invariance via Orbit Mapping. - Kanchana Vaishnavi Gandikota; Jonas Geiping; Zorah Lähner; Adam Czaplinski; Michael Möller 001 (ACCV (5), 2022)

LDEdit: Towards Generalized Text Guided Image Manipulation via Latent Diffusion Models. - Paramanand Chandramouli; Kanchana Vaishnavi Gandikota (BMVC, 2022)

On Adversarial Robustness of Deep Image Deblurring. - Kanchana Vaishnavi Gandikota; Paramanand Chandramouli; Michael Möller 001 (ICIP, 2022)

A Generative Model for Generic Light Field Reconstruction. - Paramanand Chandramouli; Kanchana Vaishnavi Gandikota; Andreas Görlitz; Andreas Kolb 001; Michael Möller 001 (IEEE Trans. Pattern Anal. Mach. Intell., 2022)

On the unreasonable vulnerability of transformers for image restoration - and an easy fix. - Shashank Agnihotri; Kanchana Vaishnavi Gandikota; Julia Grabinski; Paramanand Chandramouli; Margret Keuper (ICCV (Workshops), 2023)

Evaluating Adversarial Robustness of Low dose CT Recovery. - Kanchana Vaishnavi Gandikota; Paramanand Chandramouli; Hannah Dröge; Michael Möller 001 (MIDL, 2023)

Text-Guided Explorable Image Super-Resolution. - Kanchana Vaishnavi Gandikota; Paramanand Chandramouli (CVPR, 2024)

Robustness and Exploration of Variational and Machine Learning Approaches to Inverse Problems: An Overview. - Alexander Auras; Kanchana Vaishnavi Gandikota; Hannah Dröge; Michael Moeller 001 (CoRR, 2024)

On the robustness and generalization of deep learning approaches for image classification and reconstruction. - Kanchana Vaishnavi Gandikota (2024)

Training Data Reconstruction: Privacy due to Uncertainty? - Christina Runkel; Kanchana Vaishnavi Gandikota; Jonas Geiping; Carola-Bibiane Schönlieb; Michael Moeller 001 (CVPR Workshops, 2025)

Direct Image Classification from Fourier Ptychographic Microscopy Measurements without Reconstruction. - Navya Sonal Agarwal; Jan Philipp Schneider; Kanchana Vaishnavi Gandikota; Syed Muhammad Kazim; John Meshreki; Ivo Ihrke; Michael Möller 001 (CoRR, 2025)