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Qadeer Khan
PhD StudentTechnical University of MunichDepartment of Informatics
Informatics 9
Boltzmannstrasse 3
85748 Garching
Germany
Tel: +49-89-289-17750
Fax: +49-89-289-17757
Office: 02.09.060
Mail: qadeer.khan@tum.de
Courses
- SS20: Practical course Learning For Self-Driving Cars and Intelligent Systems with Patrick Wenzel.
- WS19/20: Practical course Learning For Self-Driving Cars and Intelligent Systems with Yuesong Shen and Patrick Wenzel.
- SS19: Practical course Hands-on Deep Learning for Computer Vision and Biomedicine with Vladimir Golkov and Patrick Wenzel.
Offered Projects
In case you are interested in doing an IDP, Guided Research, Bachelor/Master thesis, in the areas of Graphical neural networks, active learning, vehicle control feel free to send your application including resume and transcripts and a short description of the area of interest.
Ongoing Projects
- Optimal Brain Damage: Model Pruning for faster inference
- Deep Active learning on Graphical networks for semantic segmentation.
- Unsupervised multi-view image synthesis.
Completed Projects
- Self-Supervised Vehicle Control on Sparse 3D point clouds [Bachelor Thesis, Florian Müller]
- IMU based pose estimation using deep neural networks [IDP, Nicholas Gao]
Publications
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Journal Articles
2020
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GN-Net: The Gauss-Newton Loss for Multi-Weather Relocalization , In IEEE Robotics and Automation Letters (RA-L), volume 5, 2020. ([arxiv][video][project page][supplementary])
Conference and Workshop Papers
2020
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4Seasons: A Cross-Season Dataset for Multi-Weather SLAM in Autonomous Driving , In Proceedings of the German Conference on Pattern Recognition (GCPR), 2020. ([arXiv][video])
2019
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Towards Generalizing Sensorimotor Control Across Weather Conditions , In Proceedings of the IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS), 2019. ([arxiv])
2018
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Modular Vehicle Control for Transferring Semantic Information Between Weather Conditions Using GANs , In Conference on Robot Learning (CoRL), 2018. ([arXiv][videos][poster])
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q-Space Deep Learning for Alzheimer's Disease Diagnosis: Global Prediction and Weakly-Supervised Localization , In International Society for Magnetic Resonance in Medicine (ISMRM) Annual Meeting, 2018.
2017
[] Establishment of an interdisciplinary workflow of machine learning-based Radiomics in sarcoma patients , In 23. Jahrestagung der Deutschen Gesellschaft für Radioonkologie (DEGRO), 2017.
