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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
122020
On adversarial robustness of deep image deblurring
KV Gandikota, P Chandramouli, M Moeller
2022 IEEE International Conference on Image Processing (ICIP), 3161-3165, 2022
112022
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
11*2022
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
32023
Evaluating Adversarial Robustness of Low dose CT Recovery
KV Gandikota, P Chandramouli, H Dröge, M Moeller
Medical Imaging with Deep Learning, 2023
22023
Text-guided Explorable Image Super-resolution
K Vaishnavi Gandikota, P Chandramouli
arXiv e-prints, arXiv: 2403.01124, 2024
1*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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