Welcome
I'm Nishant, a soon-to-graduate PhD student in the CGV group at the Faculty of Computer Science, TU Dresden in Dresden, Germany, supervised by Prof. Dr. Stefan Gumhold. My PhD work focuses on Out-of-Distribution Detection, 2D Generative Modelling, and solving Inverse Problems using Invertible Neural Networks.
Before my PhD, I completed a Master's in Electrical Engineering at TU Dresden, Germany, graduating with the highest distinction. I earned my Bachelor's in Electronics and Communication Engineering at Dr. MGR Educational and Research Institute, Chennai, India, where I was the university topper and a gold medallist.
I have worked as a data engineer at HCL Technologies in Chennai, India, and as a software engineer at Samsung India Electronics in Noida, India. At TU Dresden, I secured research funding from the German federal government and led a research group on an industrial project focused on reliable machine learning in collaboration with Carl Zeiss Meditec AG, Germany.
Reviewing Activities: IEEE Sensors and MICCAI.
News
[Jan 2024] Our paper was accepted at AAAI 2024.
[Mar 2023] Our paper was selected as a highlight at CVPR 2023, placing it in the top 10% of accepted papers.
[Sep 2022] Our paper was accepted at ACCV 2022.
[Jan 2021] I secured 100,000 € funding from BMBF to lead an AI project in collaboration with Carl Zeiss Meditec AG.
[Jan 2020] Our paper was accepted at ISBI 2020.
Publications
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For a full overview of my publications, visit my Google Scholar page.
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FusionINN: Decomposable Image Fusion for Brain Tumor Monitoring
Nishant Kumar, Ziyan Tao, Jaikirat Singh, Yang Li, Peiwen Sun, Binghui Zhao, Stefan Gumhold
IJCAI Workshop 2024 (Oral)
[arXiv] [DOI] [Code] [Slides] -
Quantile-based Maximum Likelihood Training for Outlier Detection
Masoud Taghikhah*, Nishant Kumar*, Siniša Šegvić, Abouzar Eslami, Stefan Gumhold
AAAI 2024, *Joint First Author
[arXiv] [DOI] [Code] [Poster] -
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 2024
[DOI] -
Normalizing Flow based Feature Synthesis for Outlier-Aware Object Detection
Nishant Kumar, Siniša Šegvić, Abouzar Eslami, Stefan Gumhold
CVPR 2023 (Highlight)
[arXiv] [DOI] [Code] [Poster] [Slides] [Video] -
Enhancing Fairness of Visual Attribute Predictors
Tobias Hänel, Nishant Kumar, Dmitrij Schlesinger, Mengze Li, Erdem Ünal, Abouzar Eslami, Stefan Gumhold
ACCV 2022
[arXiv] [DOI] [Code] [Poster] [Video] -
FuseVis: Interpreting Neural Networks for Image Fusion Using Per-Pixel Saliency Visualization
Nishant Kumar, Stefan Gumhold
Computers 2020
[arXiv] [DOI] [Code] [Video] -
Visualisation of Medical Image Fusion and Translation for Accurate Diagnosis of High Grade Gliomas
Nishant Kumar, Nico Hoffmann, Matthias Kirsch, Stefan Gumhold
ISBI 2020
[arXiv] [DOI] [Code] -
Structural Similarity based Anatomical and Functional Brain Imaging Fusion
Nishant Kumar, Nico Hoffmann, Martin Oelschlägel, Edmund Koch, Matthias Kirsch, Stefan Gumhold
MICCAI Workshop 2019
[arXiv] [DOI] [Code] [Poster] -
Multimodal Medical Image Fusion by Optimizing Learned Pixel Weights Using Structural Similarity Index
Nishant Kumar, Nico Hoffmann, Martin Oelschlägel, Edmund Koch, Matthias Kirsch, Stefan Gumhold
EMBC 1-Page Paper 2019
[Paper] [Poster] [Code]
Education
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PhD in Advanced Artificial Intelligence
July 2019 - July 2024 (Expected)
Chair of Computer Graphics and Visualization, TU Dresden, Germany
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Master's in Nanoelectronic Systems
October 2015 - April 2018
Faculty of Electrical and Computer Engineering, TU Dresden, Germany
[Thesis] [Code] -
Bachelor's in Electronics and Communication
2008 - 2012
Dr MGR Educational and Research Institute, Chennai, India
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Higher Secondary School
2008
Somerville School, Greater Noida, India
Experience
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Scientific Research Assistant
June 2018 - July 2024
Chair of Computer Graphics and Visualization, TU Dresden, Germany
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Student Research Assistant
May 2016 - May 2017
Fraunhofer IIS, Dresden, Germany
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Data Engineer
October 2013 - September 2015
HCL Technologies, Chennai, India
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Software Engineer
August 2012 - September 2013
Samsung India Electronics, Noida, India
Teaching
I organized the following courses during my PhD studies at TU Dresden:- Complex Lab (Winter Semester 2018/19) The task was the development of an Augmented Reality application to visualize the interior of real-world objects. I supervised five Master's students for this coursework. [Link]
- Complex Lab (Summer Semester 2020) The task was to develop a Virtual Reality application for immersive visualization of the human brain using Tractography data. I supervised around eight Master's and Bachelor's students for this coursework. [Link]
- Advanced Seminar (Summer Semester 2023) The seminar dealt with Recent Trends in Generative AI, where students performed an extensive literature study of popular Generative AI approaches. I directly supervised six students and managed the complete coursework during the semester. [Link]
- Advanced Seminar in the Summer Semesters of 2018, 2019, 2020, 2022, and 2023.
- Advanced Seminar in the Winter Semester of 2019
- Six Master's theses
- Three Bachelor's theses
- Four Research Projects
Awards
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Secured 100,000 € Research Funding
2021
Federal Ministry of Education and Research (BMBF), Germany
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Gold Medallist and University Topper (Bachelor Studies)
2012
Dr. MGR Educational and Research Institute, Chennai, India
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CV Raman Academic Medal
2012
Institute of Engineering and Technology (IET), India/UK
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All India Rank Holder in National IT Aptitude Test
2012
National Institute of Information Technology (NIIT), India
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Rank 1 in Mathematics (High School)
2006
Somerville School, Greater Noida, India
Certifications
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Summer School for Machine Learning in Natural and Life Sciences
2019
Heidelberg University, Heidelberg, Germany
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Certification in Machine Learning
2017
Non-credit online course by Stanford University on Coursera
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Certification in Robotics
2011-2012
Onsite course by Lema Labs, IIT Madras, Chennai, India
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Certification in Business Management
2010 - 2012
Online course by SJMSOM, IIT Bombay, India