Courses by faculty members of the group
CS698N: Recent Advances in Computer Vision
Computer Vision has rapidly progressed in recent years and is starting to appear in products used in
day to day life. The progress has been driven by both improvements in algorithms and computing
resources. Knowledge of such methods and technology is valued both in industy and academia.
In this course, we will look at topics in at least three exciting sub-areas of research in
Computer Vision among the following.
- Human Analysis eg. pose estimation, facial analysis, attribute recognition, pedestrian
- Language and Vision eg. image captioning, visual question answering
- 3D computer vision eg. shape representation, reconstruction, affordance estimation
- Image segmentation eg. semantic segmentation and multi resolution edge estimation, instance
The course would contain a significant project component addressing some of the main problems in
computer vision. The course would aim to equip the students with a moderately advanced understanding
of vision problems to prepare for a career oriented towards industrial or academic research.
The students wishing to participate in the course should have good foundations in basic maths and
probability. Good programming skills are also required for the project. Knowledge of machine
learning or willingness to learn the basics quickly are also needed.
EE698G-- Probabilistic Mobile Robotics
This will be an advanced course on theory and applications of probabilistic methods and
algorithms for autonomous mobile robotics. This course will introduce to the students the
state-of-the-art algorithms for robot vision (using a variety of sensors: cameras, lasers etc),
recursive state estimation, mapping, localization, and path planning. There will be regular
programming assignments that will help students to apply the theory learned in the class into some
EE 604: Digital Image processing
Tanaya Guha (Sem I, July-Nov 2016-17)
Visual perception, sampling and quantization, spatial filtering, frequency domain filtering, image
restoration, image compression, image segmentation, image representation and description.
Undergraduate projects and Masters' thesis