Name: Debaditya Acharya
Type: User
Company: The University of Melbourne
Bio: I'm a PhD student at the University of Melbourne. My research interests are deep learning, computer vision, indoor positioning and indoor modelling.
Location: Melbourne, VIC, Australia
Debaditya Acharya's Projects
A model-based visual tracking approach for indoor localisation using a 3D building model
This is the code in MATLAB for the works related to the paper "Real-time detection and tracking of pedestrians in CCTV images using a deep convolutional neural network"
This is the implementation of "Acharya, D., Yan, W., & Khoshelham, K. (2018) Real-time image-based parking occupancy detection using deep learning. In the proceedings of the 5th Annual Conference of Research@Locate, Adelaide, Australia, CEUR Workshop Proceedings, 2087: 33-40"
This is an implementation of Recurrent BIM-PoseNet for camera pose regression related to our upcoming work. More details will be available soon.
Testing