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Vignesh Srinivasan
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2020 – today
- 2023
- [j4]Vignesh Srinivasan
, Klaus-Robert Müller
Langevin Cooling for Unsupervised Domain Translation. IEEE Trans. Neural Networks Learn. Syst. 34(10): 7675-7688 (2023) - 2022
- [b1]Vignesh Srinivasan:
Towards robustifying deep neural networks against adversarial, fringe and distorted examples. Technical University of Berlin, Germany, 2022 - 2021
- [j3]Vignesh Srinivasan
Robustifying models against adversarial attacks by Langevin dynamics. Neural Networks 137: 1-17 (2021) - [c11]Vignesh Srinivasan, K. Chandrasekaran:
Data Aggregation Of Tweets And Topic Modelling Based On The Twitter Dataset. BDET 2021: 15-20 - [i8]Vignesh Srinivasan, Nils Strodthoff, Jackie Ma, Alexander Binder, Klaus-Robert Müller, Wojciech Samek:
On the Robustness of Pretraining and Self-Supervision for a Deep Learning-based Analysis of Diabetic Retinopathy. CoRR abs/2106.13497 (2021) - 2020
- [c10]Vignesh Srinivasan, Klaus-Robert Müller
Benign Examples: Imperceptible Changes Can Enhance Image Translation Performance. AAAI 2020: 5842-5850 - [i7]Vignesh Srinivasan, Klaus-Robert Müller, Wojciech Samek, Shinichi Nakajima:
Langevin Cooling for Domain Translation. CoRR abs/2008.13723 (2020)
2010 – 2019
- 2019
- [j2]Arturo Marbán, Vignesh Srinivasan, Wojciech Samek, Josep Fernández, Alicia Casals
A recurrent convolutional neural network approach for sensorless force estimation in robotic surgery. Biomed. Signal Process. Control. 50: 134-150 (2019) - [c9]Vignesh Srinivasan, Ercan E. Kuruoglu
Black-Box Decision based Adversarial Attack with Symmetric α-stable Distribution. EUSIPCO 2019: 1-5 - [c8]Talmaj Marinc, Vignesh Srinivasan, Serhan Gül
Multi-Kernel Prediction Networks for Denoising of Burst Images. ICIP 2019: 2404-2408 - [i6]Talmaj Marinc, Vignesh Srinivasan, Serhan Gül, Cornelius Hellge, Wojciech Samek:
Multi-Kernel Prediction Networks for Denoising of Burst Images. CoRR abs/1902.05392 (2019) - [i5]Vignesh Srinivasan, Ercan E. Kuruoglu, Klaus-Robert Müller, Wojciech Samek, Shinichi Nakajima:
Black-Box Decision based Adversarial Attack with Symmetric α-stable Distribution. CoRR abs/1904.05586 (2019) - 2018
- [c7]Arturo Marbán, Vignesh Srinivasan, Wojciech Samek, Josep Fernández, Alicia Casals
Estimation of Interaction Forces in Robotic Surgery using a Semi-Supervised Deep Neural Network Model. IROS 2018: 761-768 - [i4]Arturo Marbán, Vignesh Srinivasan, Wojciech Samek, Josep Fernández, Alicia Casals:
A Recurrent Convolutional Neural Network Approach for Sensorless Force Estimation in Robotic Surgery. CoRR abs/1805.08545 (2018) - [i3]Vignesh Srinivasan, Arturo Marbán, Klaus-Robert Müller, Wojciech Samek, Shinichi Nakajima:
Counterstrike: Defending Deep Learning Architectures Against Adversarial Samples by Langevin Dynamics with Supervised Denoising Autoencoder. CoRR abs/1805.12017 (2018) - [i2]Tatiana A. Bubba, Gitta Kutyniok, Matti Lassas, Maximilian März, Wojciech Samek, Samuli Siltanen, Vignesh Srinivasan:
Learning The Invisible: A Hybrid Deep Learning-Shearlet Framework for Limited Angle Computed Tomography. CoRR abs/1811.04602 (2018) - 2017
- [j1]Joanna Abraham, Thomas George Kannampallil
Measuring content overlap during handoff communication using distributional semantics: An exploratory study. J. Biomed. Informatics 65: 132-144 (2017) - [c6]Vignesh Srinivasan, Sebastian Lapuschkin
Interpretable human action recognition in compressed domain. ICASSP 2017: 1692-1696 - [c5]Arturo Marbán, Vignesh Srinivasan, Wojciech Samek, Josep Fernández, Alicia Casals
Estimating Position & Velocity in 3D Space from Monocular Video Sequences Using a Deep Neural Network. ICCV Workshops 2017: 1460-1469 - 2016
- [c4]Vignesh Srinivasan, Thomas George Kannampallil, Trevor Cohen, Joanna Abraham:
Analyzing Similarities in Handoff Communication Content between Residents and Nurses. AMIA 2016 - [c3]Vignesh Srinivasan, Serhan Gul
On the robustness of action recognition methods in compressed and pixel domain. EUVIP 2016: 1-6 - [i1]Wikor Pronobis, Danny Panknin, Johannes Kirschnick, Vignesh Srinivasan, Wojciech Samek, Volker Markl, Manohar Kaul
Sharing Hash Codes for Multiple Purposes. CoRR abs/1609.03219 (2016) - 2015
- [c2]Vignesh Srinivasan, Frédéric Lefèbvre, Alexey Ozerov:
Shot aggregating strategy for near-duplicate video retrieval. EUSIPCO 2015: 1825-1829 - 2014
- [c1]Tim van Kasteren, Birte Ulrich, Vignesh Srinivasan, Maria E. Niessen:
Analyzing Tweets to Aid Situational Awareness. ECIR 2014: 700-705
Coauthor Index
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