1 code implementation • 29 Feb 2020 • Hardik Uppal, Alireza Sepas-Moghaddam, Michael Greenspan, Ali Etemad
A novel attention aware method is proposed to fuse two image modalities, RGB and depth, for enhanced RGB-D facial recognition.
1 code implementation • 3 Jan 2021 • Hardik Uppal, Alireza Sepas-Moghaddam, Michael Greenspan, Ali Etemad
Our novel attention mechanism directs the deep network "where to look" for visual features in the RGB image by focusing the attention of the network using depth features extracted by a Convolution Neural Network (CNN).
1 code implementation • ICCV 2021 • Hardik Uppal, Alireza Sepas-Moghaddam, Michael Greenspan, Ali Etemad
Moreover, face recognition experiments demonstrate that our hallucinated depth along with the input RGB images boosts performance across various architectures when compared to a single RGB modality by average values of +1. 2%, +2. 6%, and +2. 6% for IIIT-D, EURECOM, and LFW datasets respectively.