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Kanchana Vaishnavi Gandikota
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2020 – today
- 2024
- [b1]Kanchana Vaishnavi Gandikota:
On the robustness and generalization of deep learning approaches for image classification and reconstruction. University of Siegen, Germany, 2024 - [c8]Kanchana Vaishnavi Gandikota, Paramanand Chandramouli:
Text-Guided Explorable Image Super-Resolution. CVPR 2024: 25900-25911 - [i10]Kanchana Vaishnavi Gandikota, Paramanand Chandramouli, Hannah Dröge, Michael Moeller:
Evaluating Adversarial Robustness of Low dose CT Recovery. CoRR abs/2402.11557 (2024) - [i9]Alexander Auras, Kanchana Vaishnavi Gandikota, Hannah Dröge, Michael Moeller:
Robustness and Exploration of Variational and Machine Learning Approaches to Inverse Problems: An Overview. CoRR abs/2402.12072 (2024) - [i8]Kanchana Vaishnavi Gandikota, Paramanand Chandramouli:
Text-guided Explorable Image Super-resolution. CoRR abs/2403.01124 (2024) - 2023
- [c7]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: 3709-3719 - [c6]Kanchana Vaishnavi Gandikota, Paramanand Chandramouli, Hannah Dröge, Michael Möller:
Evaluating Adversarial Robustness of Low dose CT Recovery. MIDL 2023: 1545-1563 - [i7]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 abs/2307.13856 (2023) - 2022
- [j1]Paramanand Chandramouli
, Kanchana Vaishnavi Gandikota
A Generative Model for Generic Light Field Reconstruction. IEEE Trans. Pattern Anal. Mach. Intell. 44(4): 1712-1724 (2022) - [c5]Kanchana Vaishnavi Gandikota
A Simple Strategy to Provable Invariance via Orbit Mapping. ACCV (5) 2022: 387-405 - [c4]Paramanand Chandramouli, Kanchana Vaishnavi Gandikota:
LDEdit: Towards Generalized Text Guided Image Manipulation via Latent Diffusion Models. BMVC 2022: 267 - [c3]Kanchana Vaishnavi Gandikota
On Adversarial Robustness of Deep Image Deblurring. ICIP 2022: 3161-3165 - [i6]Kanchana Vaishnavi Gandikota, Jonas Geiping, Zorah Lähner, Adam Czaplinski, Michael Möller:
A Simple Strategy to Provable Invariance via Orbit Mapping. CoRR abs/2209.11916 (2022) - [i5]Paramanand Chandramouli, Kanchana Vaishnavi Gandikota:
LDEdit: Towards Generalized Text Guided Image Manipulation via Latent Diffusion Models. CoRR abs/2210.02249 (2022) - [i4]Kanchana Vaishnavi Gandikota, Paramanand Chandramouli, Michael Moeller:
On Adversarial Robustness of Deep Image Deblurring. CoRR abs/2210.02502 (2022) - 2021
- [i3]Kanchana Vaishnavi Gandikota, Jonas Geiping, Zorah Lähner, Adam Czaplinski, Michael Möller:
Training or Architecture? How to Incorporate Invariance in Neural Networks. CoRR abs/2106.10044 (2021) - 2020
- [c2]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: 3963-3968 - [i2]Paramanand Chandramouli, Kanchana Vaishnavi Gandikota, Andreas Görlitz, Andreas Kolb, Michael Moeller:
Generative Models for Generic Light Field Reconstruction. CoRR abs/2005.06508 (2020) - [i1]Guruprasad M. Hegde, Avinash Nittur Ramesh, Kanchana Vaishnavi Gandikota, Roman Obermaisser, Michael Moeller:
A Simple Domain Shifting Network for Generating Low Quality Images. CoRR abs/2006.16621 (2020)
2010 – 2019
- 2019
- [c1]Paramanand Chandramouli, Kanchana Vaishnavi Gandikota:
Blind Single Image Reflection Suppression for Face Images using Deep Generative Priors. ICCV Workshops 2019: 3315-3323
Coauthor Index
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