Mahdi Saleh

Contact Information

Mahdi Saleh, M.Sc. Chair for Computer Aided Medical Procedures & Augmented Reality Fakultät für Informatik Technische Universität München Boltzmannstr. 3 85748 Garching bei München Office: 13.03.040 Map Phone: +49 89 289 17077 Email:

Research Interests

• 3D computer vision and deep learnnig
• Point cloud processing
• 3D object detection and semantic segmentation
• Object pose estimation

If you are looking for an IDP, guided research or master thesis around these topics please contact me.

Teaching

• Lab Course / Praktikum Advanced Topics in 3D Computer Vision (2020WiSe)
• Hauptseminar Computer Vision and Deep Learning for Autonomous Driving (2020WiSe)
• Lab Course / Praktikum Perception and Learning in Robotics and Augmented Reality (2020SuSe)
• Hauptseminar Computer Vision and Deep Learning for Autonomous Driving (2019WiSe)
• Hauptseminar Recent Trends in 3D Computer Vision and Deep Learning (2019WiSe)
• Hauptseminar Deep Learning for Medical Applications (2019WiSe)
• Hauptseminar Computer Vision for Augmented Reality (2019SoSe)
• Hauptseminar Deep Generative Models (2019SoSe)
• Lab Course / Praktikum Advanced Topics in 3D Computer Vision (2018WiSe)
• Hauptseminar Recent Trends in 3D Computer Vision and Deep Learning (2018WiSe)
• Lab Course / Praktikum Project Management and Software Development for Medical Applications (2018SoSe)

Student Projects

Here is a list of current and previously supervised projects:


Semester	Type	Topic	By	Material
2020/21 WS	Master's IDP	3D Object Detection and Flow Estimation in Dynamic Surgical Enviroments	D. Gokay, E. Simsar
2020/21 WS	Hiwi	3D Pedestrian Detection from LiDAR Point Clouds	Ch. Yeshwanth
2020 SS	Guided Research	3D Object Detection from Multi-scale Point Clouds Features	N. Danis
2020 SS	Practical Project	Tabletop Object Trajectory Augmentation using 3D Point Clouds	A. Mehrfard, I. Chan, R. Fok
2019/20 WS	Master's IDP	Graph-based Point Cloud Registration for Tool Tracking	Shervin Dehghani
2019/20 WS	Hiwi Project	Visual Assistance with 3D captioning	HyunJun Jung
2018/19 WS	Practical Project	Autonomous Garbage Collector using 3D Computer Vision and Reinforcement Learning	HyunJun Jung Damian Bogunowicz Sangram Gupta	Final Presentation Video Welcome.AI
2018/19 WS	Practical Project	3D Reconstruction and Semantic Segmentation for Furniture Replacement	Vasiliki Sideri Shervin Dehghani Tam Tran	Final Presentation
2018/19 WS	Bachelor's Thesis	Deep Reinforcement Learning Simulation for Path Planning	Tobias Valinski
2018/19 SS	Lab Course	3d Joint Motion Visualization for Sports or Physical Therapy	Sri Divya Vajapeyajula
2018/19 SS	Lab Course	Live Avatar of 3D Human Pose Tracking	Arturo Diaz Coca
2018 SS	Bachelor's IDP	Implementation of Mobile Robot Communication Interface and Sensor Control	Krist S.

Publications

2020
	M. Saleh, S. Dehghani, B. Busam, N. Navab, F. Tombari Graphite: Graph-Induced feaTure Extraction for Point Cloud Registration 3DV Oral 2020 (bib)
	S. Denner, A. Khakzar, M. Sajid, M. Saleh, Z. Spiclin, S.T. Kim, N. Navab Spatio-temporal learning from longitudinal data for multiple sclerosis lesion segmentation The first two authors contributed equally. BrainLes? at International Conference on Medical Image Computing and Computer-Assisted Intervention. (bib)