Machine Learning and Computer Vision | Department of Computer Science and Engineering

Machine Learning and Computer Vision

The Machine Learning and Computer Vision group works in the following areas:

RGB-D Video Content Analysis

  • Sceneflow Estimation
  • Human activity recognition in RGB-D videos

Human Activity and Event Recognition

  • Human activity and event analysis
  • Action and Event recognition in egocentric videos

Image/ Video Quality Assessment and Enhancement

  • Image/ Video Dehazing
  • Assessment of Artistic Quality of Photographs
  • Image Quality Assessment

Video Summarisation

Faculty: 
Snehasis Mukherjee