Nishant Kumar

According to our database, Nishant Kumar authored at least 13 papers between 2019 and 2024.

Collaborative distances:

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

2024

Robust Reconstruction of the Void Fraction from Noisy Magnetic Flux Density Using Invertible Neural Networks.

Nishant Kumar, Lukas Krause, Thomas Wondrak, Sven Eckert, Kerstin Eckert, Stefan Gumhold

Sensors, February, 2024

FusionINN: Invertible Image Fusion for Brain Tumor Monitoring.

Nishant Kumar, Ziyan Tao, Jaikirat Singh, Yang Li, Peiwen Sun, Binghui Zhao, Stefan Gumhold

CoRR, 2024

FusionINN: Decomposable Image Fusion for Brain Tumor Monitoring.

Nishant Kumar, Ziyan Tao, Jaikirat Singh, Yang Li, Peiwen Sun, Binghui Zhao, Stefan Gumhold

Proceedings of the Trustworthy Artificial Intelligence for Healthcare, 2024

Towards Computational Performance Engineering for Unsupervised Concept Drift Detection: Complexities, Benchmarking, Performance Analysis.

Elias Werner, Nishant Kumar, Matthias Lieber, Sunna Torge, Stefan Gumhold, Wolfgang E. Nagel

Proceedings of the 13th International Conference on Data Science, 2024

Quantile-Based Maximum Likelihood Training for Outlier Detection.

Masoud Taghikhah, Nishant Kumar, Sinisa Segvic, Abouzar Eslami, Stefan Gumhold

Proceedings of the Thirty-Eighth AAAI Conference on Artificial Intelligence, 2024

2023

Learning to reconstruct the bubble distribution with conductivity maps using Invertible Neural Networks and Error Diffusion.

Nishant Kumar, Lukas Krause, Thomas Wondrak, Sven Eckert, Kerstin Eckert, Stefan Gumhold

CoRR, 2023

Computational Performance Aware Benchmarking of Unsupervised Concept Drift Detection.

Elias Werner, Nishant Kumar, Sunna Torge, Matthias Lieber, Arunima Raj, Stefan Gumhold, Wolfgang E. Nagel

CoRR, 2023

Normalizing Flow based Feature Synthesis for Outlier-Aware Object Detection.

Nishant Kumar, Sinisa Segvic, Abouzar Eslami, Stefan Gumhold

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2023

2022

Enhancing Fairness of Visual Attribute Predictors.

Tobias Hänel, Nishant Kumar, Dmitrij Schlesinger, Mengze Li, Erdem Ünal, Abouzar Eslami, Stefan Gumhold

Proceedings of the Computer Vision - ACCV 2022, 2022

2021

InFlow: Robust outlier detection utilizing Normalizing Flows.

Nishant Kumar, Pia Hanfeld, Michael Hecht, Michael Bussmann, Stefan Gumhold, Nico Hoffmann

CoRR, 2021

2020

FuseVis: Interpreting Neural Networks for Image Fusion Using Per-Pixel Saliency Visualization.

Nishant Kumar, Stefan Gumhold

Comput., 2020

Visualisation of Medical Image Fusion and Translation for Accurate Diagnosis of High Grade Gliomas.

Nishant Kumar, Nico Hoffmann, Matthias Kirsch, Stefan Gumhold

Proceedings of the 17th IEEE International Symposium on Biomedical Imaging, 2020

2019

Structural Similarity Based Anatomical and Functional Brain Imaging Fusion.

Nishant Kumar, Nico Hoffmann, Martin Oelschlägel, Edmund Koch, Matthias Kirsch, Stefan Gumhold

Proceedings of the Multimodal Brain Image Analysis and Mathematical Foundations of Computational Anatomy, 2019