Nikhil Kapoor

16 papers B 1C 1Journal 8Unranked 5
YearRankTypeTitle / Venue / Authors
2025 — —
Improving Robustness of Perception DNNs in Various Domains.
Nikhil Kapoor
2025 C conf
Optimizing Cloud Deployment: Blending of IaaS and FaaS for Microservice Architecture.
CloudCom
Nikhil Kapoor, Sougata Mukherjea
2023 — conf
Sensitivity analysis of AI-based algorithms for autonomous driving on optical wavefront aberrations induced by the windshield.
ICCV (Workshops)
Dominik Werner Wolf, Markus Ulrich, Nikhil Kapoor
2023 J jnl
Sensitivity analysis of AI-based algorithms for autonomous driving on optical wavefront aberrations induced by the windshield.
CoRR
Dominik Werner Wolf, Markus Ulrich, Nikhil Kapoor
2022 — conf
User-Guided Variable Rate Learned Image Compression.
CVPR Workshops
Rushil Gupta, Suryateja BV, Nikhil Kapoor, Rajat Jaiswal, Sharmila Nangi, Kuldeep Kulkarni
2021 — conf
An Unsupervised Temporal Consistency (TC) Loss To Improve the Performance of Semantic Segmentation Networks.
CVPR Workshops
Serin Varghese, Sharat Gujamagadi, Marvin Klingner, Nikhil Kapoor, Andreas Bär, Jan David Schneider, Kira Maag, Peter Schlicht, Fabian Hüger, Tim Fingscheidt
2021 B conf
From a Fourier-Domain Perspective on Adversarial Examples to a Wiener Filter Defense for Semantic Segmentation.
IJCNN
Nikhil Kapoor, Andreas Bär, Serin Varghese, Jan David Schneider, Fabian Hüger, Peter Schlicht, Tim Fingscheidt
2021 J jnl
Inspect, Understand, Overcome: A Survey of Practical Methods for AI Safety.
CoRR
Sebastian Houben, Stephanie Abrecht, Maram Akila, Andreas Bär, Felix Brockherde, Patrick Feifel, Tim Fingscheidt, Sujan Sai Gannamaneni, Seyed Eghbal Ghobadi, Ahmed Hammam, Anselm Haselhoff, Felix Hauser, Christian Heinzemann, Marco Hoffmann, Nikhil Kapoor, Falk Kappel, Marvin Klingner, Jan Kronenberger, Fabian Küppers, Jonas Löhdefink, Michael Mlynarski, Michael Mock, Firas Mualla, Svetlana Pavlitskaya, Maximilian Poretschkin, Alexander Pohl, Varun Ravi Kumar, Julia Rosenzweig, Matthias Rottmann, Stefan Rüping, Timo Sämann, Jan David Schneider, Elena Schulz, Gesina Schwalbe, Joachim Sicking, Toshika Srivastava, Serin Varghese, Michael Weber, Sebastian Wirkert, Tim Wirtz, Matthias Woehrle
2021 J jnl
The Vulnerability of Semantic Segmentation Networks to Adversarial Attacks in Autonomous Driving: Enhancing Extensive Environment Sensing.
CoRR
Andreas Bär, Jonas Löhdefink, Nikhil Kapoor, Serin J. Varghese, Fabian Hüger, Peter Schlicht, Tim Fingscheidt
2021 J jnl
The Vulnerability of Semantic Segmentation Networks to Adversarial Attacks in Autonomous Driving: Enhancing Extensive Environment Sensing.
IEEE Signal Process. Mag.
Andreas Bär, Jonas Löhdefink, Nikhil Kapoor, Serin Varghese, Fabian Hüger, Peter Schlicht, Tim Fingscheidt
2020 — conf
A Self-Supervised Feature Map Augmentation (FMA) Loss and Combined Augmentations Finetuning to Efficiently Improve the Robustness of CNNs.
CSCS
Nikhil Kapoor, Chun Yuan, Jonas Löhdefink, Roland Zimmermann, Serin Varghese, Fabian Hüger, Nico M. Schmidt, Peter Schlicht, Tim Fingscheidt
2020 J jnl
A Self-Supervised Feature Map Augmentation (FMA) Loss and Combined Augmentations Finetuning to Efficiently Improve the Robustness of CNNs.
CoRR
Nikhil Kapoor, Chun Yuan, Jonas Löhdefink, Roland Zimmermann, Serin Varghese, Fabian Hüger, Nico M. Schmidt, Peter Schlicht, Tim Fingscheidt
2020 J jnl
From a Fourier-Domain Perspective on Adversarial Examples to a Wiener Filter Defense for Semantic Segmentation.
CoRR
Nikhil Kapoor, Andreas Bär, Serin Varghese, Jan David Schneider, Fabian Hüger, Peter Schlicht, Tim Fingscheidt
2020 J jnl
Risk Assessment for Machine Learning Models.
CoRR
Paul Schwerdtner, Florens Greßner, Nikhil Kapoor, Felix Assion, René Sass, Wiebke Günther, Fabian Hüger, Peter Schlicht
2020 — conf
Unsupervised Temporal Consistency Metric for Video Segmentation in Highly-Automated Driving.
CVPR Workshops
Serin Varghese, Yasin Bayzidi, Andreas Bär, Nikhil Kapoor, Sounak Lahiri, Jan David Schneider, Nico M. Schmidt, Peter Schlicht, Fabian Hüger, Tim Fingscheidt
2009 J jnl
A Secure Multi-Party Computation Protocol for Malicious Computation Prevention for preserving privacy during Data Mining
CoRR
Durgesh Kumar Mishra, Neha Koria, Nikhil Kapoor, Ravish Bahety