Vignesh Srinivasan

According to our database, Vignesh Srinivasan authored at least 21 papers between 2014 and 2023.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2023

Langevin Cooling for Unsupervised Domain Translation.

Vignesh Srinivasan, Klaus-Robert Müller, Wojciech Samek, Shinichi Nakajima

IEEE Trans. Neural Networks Learn. Syst., October, 2023

2022

Towards robustifying deep neural networks against adversarial, fringe and distorted examples.

Vignesh Srinivasan

PhD thesis, 2022

2021

Robustifying models against adversarial attacks by Langevin dynamics.

Vignesh Srinivasan, Csaba Rohrer, Arturo Marbán, Klaus-Robert Müller, Wojciech Samek, Shinichi Nakajima

Neural Networks, 2021

On the Robustness of Pretraining and Self-Supervision for a Deep Learning-based Analysis of Diabetic Retinopathy.

Vignesh Srinivasan, Nils Strodthoff, Jackie Ma, Alexander Binder, Klaus-Robert Müller, Wojciech Samek

CoRR, 2021

Data Aggregation Of Tweets And Topic Modelling Based On The Twitter Dataset.

Vignesh Srinivasan, K. Chandrasekaran

Proceedings of the BDET 2021: The 3rd International Conference on Big Data Engineering and Technology, 2021

2020

Langevin Cooling for Domain Translation.

Vignesh Srinivasan, Klaus-Robert Müller, Wojciech Samek, Shinichi Nakajima

CoRR, 2020

Benign Examples: Imperceptible Changes Can Enhance Image Translation Performance.

Vignesh Srinivasan, Klaus-Robert Müller, Wojciech Samek, Shinichi Nakajima

Proceedings of the Thirty-Fourth AAAI Conference on Artificial Intelligence, 2020

2019

A recurrent convolutional neural network approach for sensorless force estimation in robotic surgery.

Arturo Marbán, Vignesh Srinivasan, Wojciech Samek, Josep Fernández, Alicia Casals

Biomed. Signal Process. Control., 2019

Multi-Kernel Prediction Networks for Denoising of Burst Images.

Talmaj Marinc, Vignesh Srinivasan, Serhan Gül, Cornelius Hellge, Wojciech Samek

Proceedings of the 2019 IEEE International Conference on Image Processing, 2019

Black-Box Decision based Adversarial Attack with Symmetric α-stable Distribution.

Vignesh Srinivasan, Ercan E. Kuruoglu, Klaus-Robert Müller, Wojciech Samek, Shinichi Nakajima

Proceedings of the 27th European Signal Processing Conference, 2019

2018

Learning The Invisible: A Hybrid Deep Learning-Shearlet Framework for Limited Angle Computed Tomography.

Tatiana A. Bubba, Gitta Kutyniok, Matti Lassas, Maximilian März, Wojciech Samek, Samuli Siltanen, Vignesh Srinivasan

CoRR, 2018

Counterstrike: Defending Deep Learning Architectures Against Adversarial Samples by Langevin Dynamics with Supervised Denoising Autoencoder.

Vignesh Srinivasan, Arturo Marbán, Klaus-Robert Müller, Wojciech Samek, Shinichi Nakajima

CoRR, 2018

Estimation of Interaction Forces in Robotic Surgery using a Semi-Supervised Deep Neural Network Model.

Arturo Marbán, Vignesh Srinivasan, Wojciech Samek, Josep Fernández, Alicia Casals

Proceedings of the 2018 IEEE/RSJ International Conference on Intelligent Robots and Systems, 2018

2017

Measuring content overlap during handoff communication using distributional semantics: An exploratory study.

Joanna Abraham, Thomas George Kannampallil, Vignesh Srinivasan, William L. Galanter, Gail Tagney, Trevor Cohen

J. Biomed. Informatics, 2017

Estimating Position & Velocity in 3D Space from Monocular Video Sequences Using a Deep Neural Network.

Arturo Marbán, Vignesh Srinivasan, Wojciech Samek, Josep Fernández, Alicia Casals

Proceedings of the 2017 IEEE International Conference on Computer Vision Workshops, 2017

Interpretable human action recognition in compressed domain.

Vignesh Srinivasan, Sebastian Lapuschkin, Cornelius Hellge, Klaus-Robert Müller, Wojciech Samek

Proceedings of the 2017 IEEE International Conference on Acoustics, 2017

2016

Sharing Hash Codes for Multiple Purposes.

Wikor Pronobis, Danny Panknin, Johannes Kirschnick, Vignesh Srinivasan, Wojciech Samek, Volker Markl, Manohar Kaul, Klaus-Robert Müller, Shinichi Nakajima

CoRR, 2016

On the robustness of action recognition methods in compressed and pixel domain.

Vignesh Srinivasan, Serhan Gul, Sebastian Bosse, Jan Timo Meyer, Thomas Schierl, Cornelius Hellge, Wojciech Samek

Proceedings of the 6th European Workshop on Visual Information Processing, 2016

Analyzing Similarities in Handoff Communication Content between Residents and Nurses.

Vignesh Srinivasan, Thomas George Kannampallil, Trevor Cohen, Joanna Abraham

Proceedings of the AMIA 2016, 2016

2015

Shot aggregating strategy for near-duplicate video retrieval.

Vignesh Srinivasan, Frédéric Lefèbvre, Alexey Ozerov

Proceedings of the 23rd European Signal Processing Conference, 2015

2014

Analyzing Tweets to Aid Situational Awareness.

Tim van Kasteren, Birte Ulrich, Vignesh Srinivasan, Maria E. Niessen

Proceedings of the Advances in Information Retrieval, 2014