The paper "HEGN: Hierarchical Equivariant Graph Neural Network for 9DoF Point Cloud Registration" authored by Adam Misik, Driton Salihu, Xin Su, Heike Brock, and Eckehard Steinbach has been selected as a finalist for the IEEE ICRA Best Paper Award in Robot Vision. At the same time, the paper has…

The Summer School 2024, organized through the collaboration of FAU, TUM and the University of Stuttgart, offers this year the a course with the title "Deep Learning in Image and Video Processing" Deadline for registration is 01.05.2024. Please…

Dr.-Ing. Andreas Noll has been awarded the prestigious VDE Award 2023 for his outstanding dissertation at LMT, titled "Vibrotactile Communication: Signal Compression, Quality Assessment and Enhancement, Actuator Equalization."

Dr.-Ing. Jingyi Xu received, at the Graduation celebration of the School for Computation, Information and Technology (CIT) on the 10th of November, the 2023 Walter-Gademann-Promotionspreis for her dissertation “Modeling Nonplanar Frictional Surface Contacts for Robust Robot Grasping".

Prof. Chang Wen Chen from the Hong Kong Polytechnic University will hold a talk at LMT, Thursday, October 12 at 14:00 in Room 0406

Dr.-Ing. Christopher Kuhn receives the 2023 IEEE ITSS Best Dissertation Award - Second Prize from the IEEE Intelligent Transportation Systems Society for his dissertation “Failure Prediction for Autonomous Systems".

Furkan Kaynar received the Antonio Picariello Best Student Opponent Award at the 24th IEEE International Symposium on Multimedia (ISM 2022)

The paper „Robust Depth Estimation in Foggy Environments Combining RGB Images and mmWave Radar“ co-authored by Mengchen Xiong, Xiao Xu, Dong Yang and Eckehard Steinbach, has received the Best Student Paper Award at the 25th IEEE International Symposium on Multimedia (IEEE ISM)

The paper „Bounding Box Disparity: 3D Metrics For Object Detection With Full Degree of Freedom“ co-authored by Michael Adam, Martin Piccolrovazzi, Sebastian Eger and Eckehard Steinbach, has received the Best Paper 1st Runner-Up Award at the 29th IEEE International Conference on Image Processing…

This talk is about usage of object-level augmentations on a light-weight neural network within an indoor-scale scene.