Vignesh Srinivasan
Vignesh Srinivasan
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Learning the invisible: a hybrid deep learning-shearlet framework for limited angle computed tomography
TA Bubba, G Kutyniok, M Lassas, M März, W Samek, S Siltanen, ...
Inverse Problems 35 (6), 064002, 2019
A recurrent convolutional neural network approach for sensorless force estimation in robotic surgery
A Marban, V Srinivasan, W Samek, J Fernández, A Casals
Biomedical Signal Processing and Control 50, 134-150, 2019
Interpretable human action recognition in compressed domain
V Srinivasan, S Lapuschkin, C Hellge, KR Müller, W Samek
2017 IEEE International Conference on Acoustics, Speech and Signal …, 2017
Robustifying Models Against Adversarial Attacks by Langevin Dynamics
V Srinivasan, C Rohrer, A Marban, KR Müller, W Samek, S Nakajima
Neural Networks 137, 1-17, 2021
Multi-kernel prediction networks for denoising of burst images
T Marinč, V Srinivasan, S Gül, C Hellge, W Samek
2019 IEEE International Conference on Image Processing (ICIP), 2404-2408, 2019
Estimation of interaction forces in robotic surgery using a semi-supervised deep neural network model
A Marban, V Srinivasan, W Samek, J Fernández, A Casals
2018 IEEE/RSJ International Conference on Intelligent Robots and Systems …, 2018
Estimating position & velocity in 3d space from monocular video sequences using a deep neural network
A Marban, V Srinivasan, W Samek, J Fernández, A Casals
Proceedings of the IEEE International Conference on Computer Vision …, 2017
On the robustness of action recognition methods in compressed and pixel domain
V Srinivasan, S Gul, S Bosse, JT Meyer, T Schierl, C Hellge, W Samek
2016 6th European Workshop on Visual Information Processing (EUVIP), 1-6, 2016
Analyzing tweets to aid situational awareness
TLM van Kasteren, B Ulrich, V Srinivasan, ME Niessen
European Conference on Information Retrieval, 700-705, 2014
Benign examples: Imperceptible changes can enhance image translation performance
V Srinivasan, KR Müller, W Samek, S Nakajima
Proceedings of the AAAI Conference on Artificial Intelligence 34 (04), 5842-5850, 2020
Air Quality Monitoring and Data Management in Germany-Status Quo and Suggestions for Improvement
L Petry, H Herold, G Meinel, T Meiers, I Müller, E Kalusche, T Erbertseder, ...
The International Archives of the Photogrammetry, Remote Sensing and Spatial …, 2020
Black-Box Decision based Adversarial Attack with Symmetric α-stable Distribution
V Srinivasan, EE Kuruoglu, KR Müller, W Samek, S Nakajima
2019 27th European Signal Processing Conference (EUSIPCO), 1-5, 2019
Langevin Cooling for Unsupervised Domain Translation
V Srinivasan, KR Müller, W Samek, S Nakajima
IEEE Transactions on Neural Networks and Learning Systems, 2022
On the Robustness of Pretraining and Self-Supervision for a Deep Learning-based Analysis of Diabetic Retinopathy
V Srinivasan, N Strodthoff, J Ma, A Binder, KR Müller, W Samek
arXiv preprint arXiv:2106.13497, 2021
Defense against adversarial attacks by langevin dynamics
V Srinivasan, A Marban, KR Müller, W Samek, S Nakajima
arXiv preprint arXiv:1805.12017, 2019
Sharing hash codes for multiple purposes
W Pronobis, D Panknin, J Kirschnick, V Srinivasan, W Samek, V Markl, ...
Japanese Journal of Statistics and Data Science 1 (1), 215-246, 2018
Shot aggregating strategy for near-duplicate video retrieval
V Srinivasan, F Lefebvre, A Ozerov
2015 23rd European Signal Processing Conference (EUSIPCO), 1825-1829, 2015
Towards robustifying deep neural networks against adversarial, fringe and distorted examples
V Srinivasan
A Scrutinized study on DoS attacks in Wireless Sensor Networks and need of SDN in Mitigating DoS attacks
A Sarkunavathi, V Srinivasan
2021 International Conference on Computer Communication and Informatics …, 2021
Learning the Invisible: Limited Angle Tomography, Shearlets and Deep Learning
TA Bubba, G Kutyniok, M Lassas, M März, W Samek, S Siltanen, ...
Numerical Computations: Theory and Algorithms NUMTA 2019, 103, 2019
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