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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
LDEdit: Towards Generalized Text Guided Image Manipulation via Latent Diffusion Models
P Chandramouli, KV Gandikota
British Machine Vision Conference, 2022
21*2022
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
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
Evaluating Adversarial Robustness of Low dose CT Recovery
KV Gandikota, P Chandramouli, H Dröge, M Moeller
Medical Imaging with Deep Learning, 2023
12023
Text-guided Explorable Image Super-resolution
K Vaishnavi Gandikota, P Chandramouli
arXiv e-prints, arXiv: 2403.01124, 2024
2024
On the robustness and generalization of deep learning approaches for image classification and reconstruction
KV Gandikota
2024
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
Training or Architecture? How to Incorporate Invariance in Neural Networks
K Vaishnavi Gandikota, J Geiping, Z Lähner, A Czapliński, M Moeller
arXiv e-prints, arXiv: 2106.10044, 2021
2021
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 1–14