ECE graduate student Vishwanath Sindagi and Assistant Professor Vishal Patel paper have won the best paper award at the 2017 IEEE International Conference on Advanced Video and Signal-based Surveillance (AVSS) held in Lecce, Italy for their paper titled "CNN-based cascaded multi-task learning of high-level prior and density estimation for crowd counting." In this paper, the authors have developed a cascaded convolutional neural network (CNN) that can accurately estimate the crowd count from a single image with arbitrary crowd density.
Vishwanath Sindagi and Vishal Patel win best paper award at the 2017 IEEE International Conference on Advanced Video and Signal-based Surveillance
AVSS is the premier annual international conference in the field of video and signal-based surveillance that brings together experts from academia, industry, and government to advance theories, methods, systems, and applications related to surveillance. AVSS is sponsored by the IEEE and, in particular, by its two societies, the Signal Processing Society and the IEEE Computer Society and the best paper award includes a prize of 1000 Euros.
Congratulations on this achievement Vishwanath and Vishal!