Homepage von Nishant Kumar
© Ludwig Schmutzler
Wissenschaftlicher Mitarbeiter
NameHerr Nishant Kumar M.Sc.
Eine verschlüsselte E-Mail über das SecureMail-Portal versenden (nur für TUD-externe Personen).
Professur für Computergraphik und Visualisierung
Professur für Computergraphik und Visualisierung
Besuchsadresse:
Andreas-Pfitzmann-Bau, 2108 Nöthnitzer Str. 46
01187 Dresden
CV
|
July 2019- July 2024 |
PhD Student, CGV, TU Dresden |
| July 2018- July 2024 | Wissenschaftlicher Mitarbeiter, CGV, TU Dresden |
| Oct 2015- Apr 2018 |
Masters degree: Nanoelectronic Systems, TU Dresden Thesis: Enhancing intraoperative neuroimaging by incorporating spatial regularization into semiparametric regression models |
| Oct 2013- Sept 2015 | Data Engineer, HCL Technologies Ltd, Chennai, India |
| Aug 2012- Sept 2013 |
Software Engineer, Samsung India Electronics Ltd, Noida, India |
| 2012 | CV Raman Academic Medal, Institute of Engineering and Technology (IET), India/UK |
| 2011-2012 | Kaizen Robotics Program, Lema Labs, IIT Madras, India |
| 2010-2012 | CPBM, Shailesh J Mehta School of Management, IIT Bombay, India |
|
2008- 2012 |
Bachelors degree: Electronics and Communication Engineering, Dr. MGR Educational and Research Institute, Chennai (Rank 2 out of 360 students) Thesis: FPGA based dynamic information flow architecture for Windows security and its implementation through mutex- semaphore mechanism. |
| 2008 | Rank 1 in Mathematics,
All India Senior School Certificate Examination, Somerville School, Greater Noida, India |
This page is no longer maintained. Please find my Personal Website here
Research interests
Reliable Machine Learning, Inverse Problems, Explainable AI, Ethical AI, AutoML
Completed Research projects
- NeuroFusion (with Faculty of Medicine Carl Gustav Carus) (Link)
- DiscoRet (with Carl Zeiss Meditec AG) (Link)
- AI for Current Tomography (with Institute of Fluid Dynamics, HZDR) (Link)
- ClinicalFusion (with Shanghai Tenth People's Hospital, Tongji University) (Link)
Research works
Personal Website Google Scholar Github
- Nishant Kumar, Siniša Šegvić, Abouzar Eslami, Stefan Gumhold. Normalizing Flow based Feature Synthesis for Outlier-Aware Object Detection. CVPR 2023 Highlight. arXiv DOI Poster Slides Code Video
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Tobias Hänel, Nishant Kumar, Dmitrij Schlesinger, Mengze Li, Erdem Ünal, Abouzar Eslami, Stefan Gumhold. Enhancing Fairness of Visual Attribute Predictors. ACCV 2022. arXiv DOI Poster Code Video
- Nishant Kumar, Pia Hanfeld, Michael Hecht, Michael Bussmann, Stefan Gumhold and Nico Hoffmann. InFlow: Robust outlier detection utilizing Normalizing Flows. arXiv Code
- Nishant Kumar and Stefan Gumhold. FuseVis: Interpreting Neural Networks for Image Fusion Using Per-Pixel Saliency Visualization. MDPI Computers 2020. arXiv DOI Code Video
- Nishant Kumar, Nico Hoffmann, Matthias Kirsch and Stefan Gumhold. Visualisation of Medical Image Fusion and Translation for Accurate Diagnosis of High Grade Gliomas. IEEE ISBI 2020. arXiv DOI Code
- Nishant Kumar, Nico Hoffmann, Martin Oelschlägel, Edmund Koch, Matthias Kirsch, and Stefan Gumhold. Structural Similarity based Anatomical and Functional Brain Imaging Fusion. MBIA@MICCAI 2019. arXiv DOI Poster Code
- Nishant Kumar, Nico Hoffmann, Martin Oelschlägel, Edmund Koch, Matthias Kirsch, and Stefan Gumhold. Multimodal Medical Image Fusion by Optimizing Learned Pixel Weights Using Structural Similarity Index. EMBC 2019. Paper Poster Code
- Nishant Kumar. Enhancing intraoperative neuroimaging by incorporating spatial regularization into semiparametric regression models. Master Thesis Code
Reviewing activities
- Medical Image Computing and Computer Assisted Interventions (MICCAI)
- IEEE Sensors Journal
- IEEE Transactions on Circuits and Systems for Video Technology
Teaching
- Hauptseminar: SS 2018, SS 2019, WS 2019, SS 2020, SS 2022, SS 2023
- Komplexpraktikum: WS 2018, SS 2020