20 citations · 32 across the 8 of their papers we have counts for
4 papers · 2 filters
Unconstrained Still/Video-Based Face Verification with Deep Convolutional Neural Networks
Jun-Cheng Chen, Rajeev Ranjan, Swami Sankaranarayanan +5
Over the last five years, methods based on Deep Convolutional Neural Networks (DCNNs) have shown impressive performance improvements for object detection and recognition problems.…
Head Pose Estimation of Occluded Faces using Regularized Regression
Amit Kumar, Rishabh Bindal, Soumya Indela +1
This paper presents regression methods for estimation of head pose from occluded 2-D face images. The process primarily involves reconstructing a face from its occluded image, foll…
Face Alignment by Local Deep Descriptor Regression
Amit Kumar, Rajeev Ranjan, Vishal Patel +1
We present an algorithm for extracting key-point descriptors using deep convolutional neural networks (CNN). Unlike many existing deep CNNs, our model computes local features aroun…
Towards the Design of an End-to-End Automated System for Image and Video-based Recognition
Rama Chellappa, Jun-Cheng Chen, Rajeev Ranjan +4
Over many decades, researchers working in object recognition have longed for an end-to-end automated system that will simply accept 2D or 3D image or videos as inputs and output th…