|Phone:||+49 631 20575-5097|
Pramod Murthy received his Masters from TU Kaiserslautern, Germany. He completed Masters thesis titled Spatio-Temporal Convolutional Neural Network based Human Pose estimation in May 2016. Prior to pursuing masters, he professionally worked on various mobile application platforms for over 5 years.
His research interests are Computer Vision, Natural Language Processing and machine learning.
In the Augmented Vision group, he currently focuses on deep neural network architectures for human motion capture (tracking) in 2D / 3D using monocular camera images.
Please visit my website for more information.
Magnetometer Robust Deep Human Pose Regression With Uncertainty Prediction Using Sparse Body Worn Magnetic Inertial Measurement Units
IEEE Access (IEEE) 9 Seiten 36657-36673 IEEE 2/2021 .
Learning 3D joint constraints from vision-based motion capture datasets
MVA 2019. IAPR Conference on Machine Vision Applications (MVA-2019) May 27-31 Tokyo Japan Springer 2019 .
Inertial Motion Capture Using Adaptive Sensor Fusion and Joint Angle Drift Correction
22nd International Conference on Information Fusion (Fusion-2019), IEEE. International Conference on Information Fusion (FUSION-2019) July 2-5 Ottawa Ontario Canada IEEE 2019 .
Intelligent Sensor Fusion with Online Distributed MIMU Calibration for Wearable Motion Capture
22nd International Conference on Information Fusion (Fusion-2019), IEEE. International Conference on Information Fusion (FUSION-2019) July 2-5 Ottawa Ontario Canada IEEE 7/2019 .
Fully Automatic Multi-person Human Motion Capture for VR Applications
EuroVR (EuroVR-2018), October 22-23, London, United Kingdom
3D Human Pose Tracking inside Car using Single RGB Spherical Camera
ACM Chapters Computer Science in Cars Symposium (CSCS-17), July 6, Munich, Germany