My DFG project proposal on light fields got accepted. Funding starts from September 2020
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Our paper on generative models for generic light field reconstruction got accepted to IEEE TPAMI
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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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Check out our new work on adversarial robustness of Transformers for restoration preprint.
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portfolio
Scene Inference
Publications
publications
Efficient geometric matching with higher-order features
Published in 19th International Conference on Pattern Recognition, 2008
Paramanand Chandramouli, Ambasamudram N Rajagopalan
Image matching with higher-order geometric features
Published in Optical Society of America, 2010
Paramanand Chandramouli, Ambasamudram N Rajagopalan’
Unscented transformation for depth from motion-blur in videos
Published in IEEE Conference on Computer Vision and Pattern Recognition-Workshops, 2010
Paramanand Chandramouli, Ambasamudram Narayanan Rajagopalan
Inferring Image Transformation and Structure from Motion-Blurred Images
Published in British Machine Vision Conference, 2010
Paramanand Chandramouli, Ambasamudram Narayanan Rajagopalan
Depth from motion and optical blur with an unscented Kalman filter
Published in IEEE Transactions on Image Processing, 2012
Paramanand Chandramouli, Ambasamudram Narayanan Rajagopalan
HDR imaging under non-uniform blurring
Published in European Conference on Computer Vision Workshops, 2012
Vijay Channarayapatna Shivaram, Paramanand Chandramouli, Ambasamudram Narayanan Rajagopalan
Non-uniform motion deblurring for bilayer scenes
Published in Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2013
Paramanand Chandramouli, Ambasamudram Narayanan Rajagopalan
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Motion blur for motion segmentation
Published in IEEE International Conference on Image Processing, 2013
Paramanand Chandramouli, Ambasamudram Narayanan Rajagopalan
Non-Uniform Deblurring in HDR Image Reconstruction
Published in IEEE Transactions on Image Processing, 2013
Vijay Channarayapatna Shivaram, Paramanand Chandramouli, Ambasamudram Narayanan Rajagopalan, Rama Chellappa
Shape from Sharp and Motion-Blurred Image Pair
Published in International Journal of Computer Vision, 2013
Paramanand Chandramouli, Ambasamudram N Rajagopalan
HDR imaging in the presence of motion blur
Published in Motion Deblurring: Algorithms and Systems, Cambridge University Press (Book Chapter), 2014
Vijay Channarayapatna Shivaram, Paramanand Chandramouli, Ambasamudram N Rajagopalan
Bilayer Blind Deconvolution With the Light Field Camera
Published in IEEE International Conference on Computer Vision Workshops, 2015
Meiguang Jin, Paramanand Chandramouli, Paolo Favaro
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Convnet-based depth estimation, reflection separation and deblurring of plenoptic images
Published in Asian Conference on Computer Vision, 2016
Paramanand Chandramouli, Mehdi Noroozi, Paolo Favaro
Motion Deblurring in the Wild
Published in German Conference on Pattern Recognition, 2017
Mehdi Noroozi, Paramanand Chandramouli, Paolo Favaro
Plenoptic Image Motion Deblurring
Published in IEEE Transactions on Image Processing, 2018
Paramanand Chandramouli, Meiguang Jin, Daniele Perrone, Paolo Favaro
A Bit Too Much? High Speed Imaging from Sparse Photon Counts
Published in IEEE International Conference on Computational Photography (ICCP), 2019
Paramanand Chandramouli, Samuel Burri, Claudio Bruschini, Edoardo Charbon, Andreas Kolb
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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Light Field Implicit Representation for Flexible Resolution Reconstruction
Published in arxiv, 2021
Paramanand Chandramouli, Hendrik Sommerhof, Andreas Kolb
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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
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*
Download here
studentprojects
teaching
Image Signal Processing
Theory and Practial course for Master students in Electrical Engineering, Indian Institute of Technology, Madras, 2008
Teaching assistant (tutor) for exercises and practical sessions.
Image Signal Processing
Theory and Practial course for Master students in Electrical Engineering, Indian Institute of Technology, Madras, 2009
Teaching assistant (tutor) for exercises and practical sessions.
Image Signal Processing
Theory and Practial course for Master students in Electrical Engineering, Indian Institute of Technology, Madras, 2010
Teaching assistant (tutor) for exercises and practical sessions.
Digital Signal Processing
Theory course for Master students in Electrical Engineering, Indian Institute of Technology, Madras, 2010
Teaching assistant (tutor) for course and exercises.
Image Signal Processing
Theory and Practial course for Master students in Electrical Engineering, Indian Institute of Technology, Madras, 2011
Teaching assistant (tutor) for exercises and practical sessions.
Communication Engineering Lab
Practial course for Master students in Electrical Engineering, Indian Institute of Technology, Madras, 2011
Teaching assistant for practical laboratory sessions.
Image Signal Processing
Theory and Practial course for Master students in Electrical Engineering, Indian Institute of Technology, Madras, 2012
Co-instructed theory and handled practical sessions.
Image Signal Processing
Theory and Practial course for Master students in Electrical Engineering, Indian Institute of Technology, Madras, 2013
Co-instructed theory and handled practical sessions.
Computer Vision Seminar
Research Seminar for Computer Science students, University of Bern, 2014
Supervised students on topics related to computer vision and computational imaging.
Computer Vision Seminar
Research Seminar for Computer Science students, University of Bern, 2015
Supervised students on topics related to computer vision and computational imaging.
Computer Vision Seminar
Research Seminar for Computer Science students, University of Bern, 2016
Supervised students on topics related to computer vision and computational imaging.
Recent Advances in Machine Learning
Practical course for Computer Science and Mechanical Engineering Master students, University of Siegen, 2019
Supervision of projects “High Speed Imaging from Sparse Photon Counts”, “Deep learning for Blind Image Deblurring”, supervised ~3 students.
Recent Advances in Machine Learning
Practical course for Computer Science and Mechanical Engineering Master students, University of Siegen, 2021
Supervision of project “Generative Priors for Image Reconstruction”, supervised ~6 students.