Kanchana Vaishnavi Gandikota

According to our database, Kanchana Vaishnavi Gandikota authored at least 13 papers between 2019 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2024

On the robustness and generalization of deep learning approaches for image classification and reconstruction.

Kanchana Vaishnavi Gandikota

PhD thesis, 2024

Text-guided Explorable Image Super-resolution.

Kanchana Vaishnavi Gandikota, Paramanand Chandramouli

CoRR, 2024

Robustness and Exploration of Variational and Machine Learning Approaches to Inverse Problems: An Overview.

Alexander Auras, Kanchana Vaishnavi Gandikota, Hannah Dröge, Michael Moeller

CoRR, 2024

2023

Evaluating Adversarial Robustness of Low dose CT Recovery.

Kanchana Vaishnavi Gandikota, Paramanand Chandramouli, Hannah Dröge, Michael Möller

Proceedings of the Medical Imaging with Deep Learning, 2023

On the unreasonable vulnerability of transformers for image restoration - and an easy fix.

Shashank Agnihotri, Kanchana Vaishnavi Gandikota, Julia Grabinski, Paramanand Chandramouli, Margret Keuper

Proceedings of the IEEE/CVF International Conference on Computer Vision, 2023

2022

A Generative Model for Generic Light Field Reconstruction.

Paramanand Chandramouli, Kanchana Vaishnavi Gandikota, Andreas Görlitz, Andreas Kolb, Michael Möller

IEEE Trans. Pattern Anal. Mach. Intell., 2022

On Adversarial Robustness of Deep Image Deblurring.

Kanchana Vaishnavi Gandikota, Paramanand Chandramouli, Michael Möller

Proceedings of the 2022 IEEE International Conference on Image Processing, 2022

LDEdit: Towards Generalized Text Guided Image Manipulation via Latent Diffusion Models.

Paramanand Chandramouli, Kanchana Vaishnavi Gandikota

Proceedings of the 33rd British Machine Vision Conference 2022, 2022

A Simple Strategy to Provable Invariance via Orbit Mapping.

Kanchana Vaishnavi Gandikota, Jonas Geiping, Zorah Lähner, Adam Czaplinski, Michael Möller

Proceedings of the Computer Vision - ACCV 2022, 2022

2021

Training or Architecture? How to Incorporate Invariance in Neural Networks.

Kanchana Vaishnavi Gandikota, Jonas Geiping, Zorah Lähner, Adam Czaplinski, Michael Möller

CoRR, 2021

2020

Generative Models for Generic Light Field Reconstruction.

Paramanand Chandramouli, Kanchana Vaishnavi Gandikota, Andreas Görlitz, Andreas Kolb, Michael Moeller

CoRR, 2020

A Simple Domain Shifting Network for Generating Low Quality Images.

Guruprasad M. Hegde, Avinash Nittur Ramesh, Kanchana Vaishnavi Gandikota, Roman Obermaisser, Michael Moeller

Proceedings of the 25th International Conference on Pattern Recognition, 2020

2019

Blind Single Image Reflection Suppression for Face Images using Deep Generative Priors.

Paramanand Chandramouli, Kanchana Vaishnavi Gandikota

Proceedings of the 2019 IEEE/CVF International Conference on Computer Vision Workshops, 2019