Our paper on generative models for generic light field reconstruction got accepted to IEEE TPAMI
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Our paper ‘A Simple Strategy to Provable Invariance via Orbit Mapping’ was accepted at ACCV 2022!
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Our paper on text guided image manipulation using latent diffusion models is accepted at BMVC 2022 preprint
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Our paper investigating adversarial robustness of image deblurring networks is accepted at ICIP 2022 preprint
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Our paper investigating adversarial robustness of computer tomography reconstruction methods is accepted at MIDL 2023 link
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Our paper on text-guided explorable super-resolution of open domain images is accepted at ICML 2023 workshop on Artificial Intelligence and Human Computer Interaction link
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Our new work investigating adversarial robustness of Transformers for restoration is accepted at ICCV 2023 Workshop on Adversarial Robustness In the Real Worldpreprint
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I successfully defended my PhD !!
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portfolio
publications
Blind Single Image Reflection Suppression for Face Images using Deep Generative Priors
Published in IEEE/CVF International Conference on Computer Vision Workshops, 2019
Paramanand Chandramouli, Kanchana Vaishnavi Gandikota
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A Simple Domain Shifting Network for Generating Low Quality Images
Published in IEEE International Conference on Pattern Recognition, 2020
Guruprasad Hegde, Avinash Nittur Ramesh, Kanchana Vaishnavi Gandikota*,Roman Obermaisser, Michael Moeller
A Generative Model for Generic Light Field Reconstruction
Published in IEEE Transactions on Pattern Analysis \& Machine Intelligence, 2022
Paramanand Chandramouli, Kanchana Vaishnavi Gandikota, Andreas Goerlitz, Andreas Kolb, Michael Moeller
A Simple Strategy to Provable Invariance via Orbit Mapping
Published in Asian Conference on Computer Vision (ACCV), 2022
Kanchana Vaishnavi Gandikota, Jonas Geiping, Zorah Lähner, Adam Czapliński, Michael Moeller
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On Adversarial Robustness of Deep Image Deblurring
Published in IEEE International Conference on Image Processing (ICIP), 2022
Kanchana Vaishnavi Gandikota, Paramanand Chandramouli, Michael Moeller
LDEdit: Towards Generalized Text Guided Image Manipulation via Latent Diffusion Models
Published in British Machine Vision Conference (BMVC), 2022
Paramanand Chandramouli, Kanchana Vaishnavi Gandikota
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Evaluating Adversarial Robustness of Low dose CT Recovery
Published in Medical Imaging with Deep Learning (MIDL), 2023
Kanchana Vaishnavi Gandikota, Paramanand Chandramouli, Hannah Droege, Michael Moeller
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Exploring Open Domain Image Super-Resolution through Text
Published in ICML 2023 Workshop on Artificial Intelligence & Human-Computer Interaction, 2023
Kanchana Vaishnavi Gandikota, Paramanand Chandramouli
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On the unreasonable vulnerability of transformers for image restoration–and an easy fix
Published in ICCV 2023 Workshop on Adversarial Robustness In the Real World, 2023
Shashank Agnihotri, Kanchana Vaishnavi Gandikota, Julia Grabinski, Paramanand Chandramouli, Margret Keuper
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Text-guided Explorable Image Super-resolution
Published in IEEE / CVF Computer Vision and Pattern Recognition Conference (CVPR), 2024
Kanchana Vaishnavi Gandikota,Paramanand Chandramouli
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Robustness and exploration of variational and machine learning approaches to inverse problems: An overview
Published in Wiley GAMM-Mitteilungen, 2024
Alexander Auras, Kanchana Vaishnavi Gandikota, Hannah Droege, Michael Moeller
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