This episode features Sudhakar Kumawat, a Research Scholar at the Indian Institute of Technology Gandhinagar and advised by Shanmuganathan Raman. His paper "LP-3DCNN: Unveiling Local Phase in 3D Convolutional Neural Networks" proposes a Rectified Local Phase Volume (ReLPV) block, a better alternative to the standard 3D conventional layer.
This episode is a live recording of Kumawat presenting his paper during the CVPR poster session. He discussed his project in detail and how his proposed method was able to achieve state-of-the-art results in his research and testing. View full transcripts at Robin.ly: http://bit.ly/32kHjvI