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Kanchana Vaishnavi Gandikota
Kanchana Vaishnavi Gandikota
Post-doc, Computer Vision Group, University of Siegen
Verified email at uni-siegen.de - Homepage
Title
Cited by
Cited by
Year
A generative model for generic light field reconstruction
P Chandramouli, KV Gandikota, A Goerlitz, A Kolb, M Moeller
IEEE Transactions on Pattern Analysis and Machine Intelligence 44 (4), 1712-1724, 2020
112020
Ldedit: Towards generalized text guided image manipulation via latent diffusion models
P Chandramouli, KV Gandikota
British Machine Vision Conference (BMVC) 2022, 2022
102022
A Simple Strategy to Provable Invariance via Orbit Mapping
K Vaishnavi Gandikota, J Geiping, Z Lähner, A Czapliński, M Moeller
Proceedings of the Asian Conference on Computer Vision, 2022
10*2022
On adversarial robustness of deep image deblurring
KV Gandikota, P Chandramouli, M Moeller
2022 IEEE International Conference on Image Processing (ICIP), 3161-3165, 2022
92022
Blind single image reflection suppression for face images using deep generative priors
P Chandramouli, K Vaishnavi Gandikota
Proceedings of the IEEE/CVF International Conference on Computer Vision …, 2019
42019
On the unreasonable vulnerability of transformers for image restoration-and an easy fix
S Agnihotri, KV Gandikota, J Grabinski, P Chandramouli, M Keuper
Proceedings of the IEEE/CVF International Conference on Computer Vision …, 2023
22023
Robustness and Exploration of Variational and Machine Learning Approaches to Inverse Problems: An Overview
A Auras, KV Gandikota, H Droege, M Moeller
arXiv:2402.12072, 2024
2024
Exploring Open Domain Image Super-Resolution through Text
KV Gandikota, P Chandramouli
ICML 2023 Workshop on Artificial Intelligence & Human-Computer Interaction, 2023
2023
Evaluating Adversarial Robustness of Low dose CT Recovery
KV Gandikota, P Chandramouli, H Dröge, M Moeller
Medical Imaging with Deep Learning, 2023
2023
A Simple Domain Shifting Network for Generating Low Quality Images
G Hegde, AN Ramesh, KV Gandikota, R Obermaisser, M Moeller
2020 25th International Conference on Pattern Recognition (ICPR), 3963-3968, 2021
2021
Supplementary Material: A Simple Strategy to Provable Invariance via Orbit Mapping
KV Gandikota, J Geiping, Z Lähner, A Czaplinski, M Möller
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Articles 1–11