| 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 | 102 | 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 | 47 | 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 | 33 | 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 | 21* | 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 | 19 | 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 | 12 | 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 | 8 | 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 | 7 | 2016 |
| Analyzing tweets to aid situational awareness TLM van Kasteren, B Ulrich, V Srinivasan, ME Niessen European Conference on Information Retrieval, 700-705, 2014 | 5 | 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 | 3 | 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 | 3 | 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 | 3 | 2019 |
| Langevin Cooling for Unsupervised Domain Translation V Srinivasan, KR Müller, W Samek, S Nakajima IEEE Transactions on Neural Networks and Learning Systems, 2022 | 1 | 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 | 1 | 2021 |
| Defense against adversarial attacks by langevin dynamics V Srinivasan, A Marban, KR Müller, W Samek, S Nakajima arXiv preprint arXiv:1805.12017, 2019 | 1 | 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 | 1 | 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 | 1 | 2015 |
| Towards robustifying deep neural networks against adversarial, fringe and distorted examples V Srinivasan | | 2022 |
| 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 | | 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 | | 2019 |
Wojciech SamekProfessor at TU Berlin, Head of AI Department at Fraunhofer HHI, BIFOLD FellowVerified email at hhi.fraunhofer.de
