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Qadeer Khan
PhD StudentTechnical University of MunichSchool of Computation, Information and Technology
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
- SS23: Practical course Learning For Self-Driving Cars and Intelligent Systems with Mariia Gladkova.
- WS22: Practical course Learning For Self-Driving Cars and Intelligent Systems with Mariia Gladkova.
- SS22: Practical course Learning For Self-Driving Cars and Intelligent Systems with Mariia Gladkova.
- WS21/22: Practical course Learning For Self-Driving Cars and Intelligent Systems with Mariia Gladkova.
- SS21: Practical course Learning For Self-Driving Cars and Intelligent Systems
- WS20/21: Practical course Learning For Self-Driving Cars and Intelligent Systems
- SS20: Practical course Learning For Self-Driving Cars and Intelligent Systems with News.
- WS19/20: Practical course Learning For Self-Driving Cars and Intelligent Systems with Yuesong Shen and News.
- SS19: Practical course Hands-on Deep Learning for Computer Vision and Biomedicine with golkov and News.
Offered Projects
In case you are interested in doing an IDP, Guided Research, Bachelor/Master thesis, in the areas of Multi-modal deep learning, 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
- Diffusion Models for Novel View Synthesis
- Facial Reenactment with Nerf's.
- Economic load dispatch of power generation.
Completed Projects
- Augmented Pseudo-LiDAR for Self-Supervised Vehicle Control [IDP, Jonathan Schmidt]
- Learning robust vehicle Control from multiple images. [IDP, Idil Sülö]
- Offline Reinforcement Learning for vehicle control. [IDP, Samuel Weber]
- VentriloquistNet: Leveraging Speech Cues to Generate Naturalistic Talking Head Motions. [Master Thesis, Deepan Das]
- 3D Spatial Motion Estimation of Image Pixels. [Guided Research, Tong Yan Chan]
- Active Learning For Reducing The Labelling Effort in Semantic Segmentation. [Application Project, Mohab Ghanem]
- Self-supervised Novel View Image Synthesis for Improving Performance of Driving Algorithms.[Master Thesis, Yiu Ting Tang]
- Relative Pose Estimation using Novel View Synthesis for Relocalization.[Guided Research, Melis Öcal]
- Deep Active learning on Graphical networks for semantic segmentation.[Master Thesis, Viktor Drobnyi]
- Model Pruning for faster inference [Guided Research, Paul Ursulean]
- 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
2024
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Multi-vehicle trajectory prediction and control at intersections using state and intention information , In Neurocomputing, Elsevier, 2024. ([link][project page][code][pre-print])
2023
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Robust Autonomous Vehicle Pursuit without Expert Steering Labels , In IEEE Robotics and Automation Letters (RA-L), volume 8, 2023. ([arXiv][code])
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Learning vision based autonomous lateral vehicle control without supervision , In Applied Intelligence, Springer, 2023. ([paper][github])
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
2024
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Enhancing Multimodal Compositional Reasoning of Visual Language Models with Generative Negative Mining , In IEEE Winter Conference on Applications of Computer Vision (WACV, 2024. ([arXiv][project page][code])
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Improving the Detection of Air-Voids and Aggregates in Images of Concrete Using Generative AI , In GNI Symposium on AI for the Built World, 2024.
2023
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Multi Agent Navigation in Unconstrained Environments Using a Centralized Attention Based Graphical Neural Network Controller , In IEEE 26th International Conference on Intelligent Transportation Systems, 2023. ([project page][code])
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LiDAR View Synthesis for Robust Vehicle Navigation Without Expert Labels , In IEEE 26th International Conference on Intelligent Transportation Systems, 2023. ([project page][arxiv][code])
2022
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Ventriloquist-Net: Leveraging Speech Cues for Emotive Talking Head Generation , In IEEE International Conference on Image Processing, 2022.
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Biologically Inspired Neural Path Finding , In Brain Informatics, Springer International Publishing, 2022. ([code])
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Lateral Ego-Vehicle Control Without Supervision Using Point Clouds , In Pattern Recognition and Artificial Intelligence, Springer International Publishing, 2022.
2021
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Self-Supervised Steering Angle Prediction for Vehicle Control Using Visual Odometry , In International Conference on Artificial Intelligence and Statistics (AISTATS), 2021. ([arXiv])
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. ([project page][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.
