Project title


Submitted to:

  • Dr. Tapas Badal

Submitted By:

  1. Vishweswar Mohapatra
  2. Lebbar Mohammed Abdul Rahman
  3. Aajad Chauhan
  4. Baizel Kurian Varghese

Project Description

Face detection and alignment in unconstrained environment are challenging due to various poses, illuminations and occlusions. We propose a deep cascaded multi-task framework which boost up the detection performance. In particular, our framework leverages a cascaded architecture with three stages of carefully designed deep convolutional networks to predict face and landmark location in a coarse-to-fine manner.

Project Poster

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