Vignesh Srinivasan

Publication Activity (10 Years)

Years Active: 2014-2023
Publications (10 Years): 22

Top Topics

Action Recognition

Surgical Training

Top Venues

Biomed. Signal Process. Control.

IEEE Trans. Neural Networks Learn. Syst.

Publications

Vignesh Srinivasan, Klaus-Robert Müller, Wojciech Samek, Shinichi Nakajima
Langevin Cooling for Unsupervised Domain Translation. IEEE Trans. Neural Networks Learn. Syst. 34 (10) (2023)
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 (2021)
Vignesh Srinivasan, Csaba Rohrer, Arturo Marbán, Klaus-Robert Müller, Wojciech Samek, Shinichi Nakajima
Robustifying models against adversarial attacks by Langevin dynamics. Neural Networks 137 (2021)
Vignesh Srinivasan, Chandrasekaran
Data Aggregation Of Tweets And Topic Modelling Based On The Twitter Dataset. BDET (2021)
Vignesh Srinivasan, Klaus-Robert Müller, Wojciech Samek, Shinichi Nakajima
Langevin Cooling for Domain Translation. CoRR (2020)
Vignesh Srinivasan, Klaus-Robert Müller, Wojciech Samek, Shinichi Nakajima
Benign Examples: Imperceptible Changes Can Enhance Image Translation Performance. AAAI (2020)
Talmaj Marinc, Vignesh Srinivasan, Serhan Gül, Cornelius Hellge, Wojciech Samek
Multi-Kernel Prediction Networks for Denoising of Burst Images. CoRR (2019)
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 (2019)
Vignesh Srinivasan, Ercan E. Kuruoglu, Klaus-Robert Müller, Wojciech Samek, Shinichi Nakajima
Black-Box Decision based Adversarial Attack with Symmetric α-stable Distribution. EUSIPCO (2019)
Vignesh Srinivasan, Ercan E. Kuruoglu, Klaus-Robert Müller, Wojciech Samek, Shinichi Nakajima
Black-Box Decision based Adversarial Attack with Symmetric α-stable Distribution. CoRR (2019)
Talmaj Marinc, Vignesh Srinivasan, Serhan Gül, Cornelius Hellge, Wojciech Samek
Multi-Kernel Prediction Networks for Denoising of Burst Images. ICIP (2019)
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 (2018)
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 (2018)
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)
Arturo Marbán, Vignesh Srinivasan, Wojciech Samek, Josep Fernández, Alicia Casals
A Recurrent Convolutional Neural Network Approach for Sensorless Force Estimation in Robotic Surgery. CoRR (2018)
Vignesh Srinivasan, Sebastian Lapuschkin, Cornelius Hellge, Klaus-Robert Müller, Wojciech Samek
Interpretable human action recognition in compressed domain. ICASSP (2017)
Joanna Abraham, Thomas George Kannampallil, Vignesh Srinivasan, William L. Galanter, Gail Tagney, Trevor Cohen
Measuring content overlap during handoff communication using distributional semantics: An exploratory study. J. Biomed. Informatics 65 (2017)
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)
Wikor Pronobis, Danny Panknin, Johannes Kirschnick, Vignesh Srinivasan, Wojciech Samek, Volker Markl, Manohar Kaul, Klaus-Robert Müller, Shinichi Nakajima
Sharing Hash Codes for Multiple Purposes. CoRR (2016)
Vignesh Srinivasan, Thomas George Kannampallil, Trevor Cohen, Joanna Abraham
Analyzing Similarities in Handoff Communication Content between Residents and Nurses. AMIA (2016)
Vignesh Srinivasan, Serhan Gul, Sebastian Bosse, Jan Timo Meyer, Thomas Schierl, Cornelius Hellge, Wojciech Samek
On the robustness of action recognition methods in compressed and pixel domain. EUVIP (2016)
Vignesh Srinivasan, Frédéric Lefèbvre, Alexey Ozerov
Shot aggregating strategy for near-duplicate video retrieval. EUSIPCO (2015)
Tim van Kasteren, Birte Ulrich, Vignesh Srinivasan, Maria E. Niessen
Analyzing Tweets to Aid Situational Awareness. ECIR (2014)