LDEdit: Towards Generalized Text Guided Image Manipulation via Latent Diffusion Models P Chandramouli, KV Gandikota British Machine Vision Conference, 2022 | 21* | 2022 |
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 | 12* | 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 | 12 | 2020 |
On adversarial robustness of deep image deblurring KV Gandikota, P Chandramouli, M Moeller 2022 IEEE International Conference on Image Processing (ICIP), 3161-3165, 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 | 4 | 2019 |
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 | 3 | 2023 |
Evaluating Adversarial Robustness of Low dose CT Recovery KV Gandikota, P Chandramouli, H Dröge, M Moeller Medical Imaging with Deep Learning, 2023 | 2 | 2023 |
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 | | |