Kanchana Vaishnavi Gandikota

Publication Activity (10 Years)

Years Active: 2019-2024
Publications (10 Years): 18

Top Topics

Ionizing Radiation

Diffusion Models

Top Venues

Publications

Alexander Auras, Kanchana Vaishnavi Gandikota, Hannah Dröge, Michael Moeller
Robustness and Exploration of Variational and Machine Learning Approaches to Inverse Problems: An Overview. CoRR (2024)
Kanchana Vaishnavi Gandikota, Paramanand Chandramouli, Hannah Dröge, Michael Moeller
Evaluating Adversarial Robustness of Low dose CT Recovery. CoRR (2024)
Kanchana Vaishnavi Gandikota, Paramanand Chandramouli
Text-guided Explorable Image Super-resolution. CoRR (2024)
Shashank Agnihotri, Kanchana Vaishnavi Gandikota, Julia Grabinski, Paramanand Chandramouli, Margret Keuper
On the unreasonable vulnerability of transformers for image restoration - and an easy fix. ICCV (Workshops) (2023)
Shashank Agnihotri, Kanchana Vaishnavi Gandikota, Julia Grabinski, Paramanand Chandramouli, Margret Keuper
On the unreasonable vulnerability of transformers for image restoration - and an easy fix. CoRR (2023)
Kanchana Vaishnavi Gandikota, Paramanand Chandramouli, Hannah Dröge, Michael Möller
Evaluating Adversarial Robustness of Low dose CT Recovery. MIDL (2023)
Kanchana Vaishnavi Gandikota, Paramanand Chandramouli, Michael Moeller
On Adversarial Robustness of Deep Image Deblurring. CoRR (2022)
Kanchana Vaishnavi Gandikota, Paramanand Chandramouli, Michael Möller
On Adversarial Robustness of Deep Image Deblurring. ICIP (2022)
Kanchana Vaishnavi Gandikota, Jonas Geiping, Zorah Lähner, Adam Czaplinski, Michael Möller
A Simple Strategy to Provable Invariance via Orbit Mapping. ACCV (5) (2022)
Paramanand Chandramouli, Kanchana Vaishnavi Gandikota, Andreas Görlitz, Andreas Kolb, Michael Möller
A Generative Model for Generic Light Field Reconstruction. IEEE Trans. Pattern Anal. Mach. Intell. 44 (4) (2022)
Kanchana Vaishnavi Gandikota, Jonas Geiping, Zorah Lähner, Adam Czaplinski, Michael Möller
A Simple Strategy to Provable Invariance via Orbit Mapping. CoRR (2022)
Paramanand Chandramouli, Kanchana Vaishnavi Gandikota
LDEdit: Towards Generalized Text Guided Image Manipulation via Latent Diffusion Models. BMVC (2022)
Paramanand Chandramouli, Kanchana Vaishnavi Gandikota
LDEdit: Towards Generalized Text Guided Image Manipulation via Latent Diffusion Models. CoRR (2022)
Kanchana Vaishnavi Gandikota, Jonas Geiping, Zorah Lähner, Adam Czaplinski, Michael Möller
Training or Architecture? How to Incorporate Invariance in Neural Networks. CoRR (2021)
Guruprasad M. Hegde, Avinash Nittur Ramesh, Kanchana Vaishnavi Gandikota, Roman Obermaisser, Michael Moeller
A Simple Domain Shifting Network for Generating Low Quality Images. ICPR (2020)
Guruprasad M. Hegde, Avinash Nittur Ramesh, Kanchana Vaishnavi Gandikota, Roman Obermaisser, Michael Moeller
A Simple Domain Shifting Network for Generating Low Quality Images. CoRR (2020)
Paramanand Chandramouli, Kanchana Vaishnavi Gandikota, Andreas Görlitz, Andreas Kolb, Michael Moeller
Generative Models for Generic Light Field Reconstruction. CoRR (2020)
Paramanand Chandramouli, Kanchana Vaishnavi Gandikota
Blind Single Image Reflection Suppression for Face Images using Deep Generative Priors. ICCV Workshops (2019)