Showing results (1-10 of 44) with videos related to

Sort By:
Pageof 5
Sensors (Basel, Switzerland)|November 26, 2022
INV-Flow2PoseNet: Light-Resistant Rigid Object Pose from Optical Flow of RGB-D Images Using Images, Normals and VerticesTorben Fetzer, Gerd Reis, Didier Stricker
Sensors (Basel, Switzerland)|May 21, 2020
Real-Time Energy Efficient Hand Pose Estimation: A Case StudyMhd Rashed Al Koutayni, Vladimir Rybalkin, Jameel Malik, et al.
Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual International Conference|January 19, 2012
Introducing a modular activity monitoring systemAttila Reiss, Didier Stricker
Journal of Imaging|October 26, 2022
Advanced Scene Perception for Augmented RealityJason Rambach, Didier Stricker
Sensors (Basel, Switzerland)|April 13, 2023
PLG-ViT: Vision Transformer with Parallel Local and Global Self-AttentionNikolas Ebert, Didier Stricker, Oliver Wasenmüller
Computers in Biology and Medicine|April 20, 2025
Enhancing robustness and generalization in microbiological few-shot detection through synthetic data generation and contrastive learningNikolas Ebert, Didier Stricker, Oliver Wasenmüller
Sensors (Basel, Switzerland)|September 5, 2019
WHSP-Net: A Weakly-Supervised Approach for 3D Hand Shape and Pose Recovery from a Single Depth ImageJameel Malik, Ahmed Elhayek, Didier Stricker
IEEE Transactions on Pattern Analysis and Machine Intelligence|August 15, 2018
Flow Fields: Dense Correspondence Fields for Highly Accurate Large Displacement Optical Flow EstimationChristian Bailer, Bertram Taetz, Didier Stricker
Sensors (Basel, Switzerland)|February 15, 2022
Nonlinear Optimization of Light Field Point CloudYuriy Anisimov, Jason Raphael Rambach, Didier Stricker
Sensors (Basel, Switzerland)|January 20, 2021
SynPo-Net-Accurate and Fast CNN-Based 6DoF Object Pose Estimation Using Synthetic TrainingYongzhi Su, Jason Rambach, Alain Pagani, et al.
Pageof 5