FUTURE STUDENTS

Dr. Nidhi Chahal

Faculty, Dr. Nidhi Chahal - NIIT University

Designation:

Assistant Professor

Area:

Computer Science and Engineering

Qualification:

M.Tech (JIIT Noida), Ph.D (IIT Delhi)

Teaching Field:

Computer Vision, Digital Image Processing, Computer Graphics

Experiences:

Visiting faculty at DTU (formerly DCE)

Research Areas:

Machine Learning, Image Processing

Research Focus:

3D, Smart cameras, Vehicle Navigation

Other Interests:

Badminton

Email-Id:

Nidhi.Chahal@niituniversity.in

Information of Research Publications

 

 

Research Publication Details (From 2011 to 2016):

International Conferences:

  1. Nidhi Chahal and Santanu Chaudhury, “Stereo Pair Generation by Introducing Bokeh in Single 2D Images”, PerMIn 2015, In ACM, Proceedings of the 2nd International Conference on Perception and Machine Intelligence, pages 224-229.
  2. Nidhi Chahal and Santanu Chaudhury, “Fixed Point Learning Based 3D Conversion of 2D Videos”, In Springer, Pattern Recognition and Machine Intelligence, 2015, Volume 9124, pp 85-94.
  3. Nidhi Chahal and Santanu Chaudhury, “2D to 3D Conversion of Videos using Fixed Point Learning Approach”, In IEEE, 9th International Conference on Electrical and Computer Engineering (ICECE), pages 8-13, 20 Dec - 22 Dec 2016.
  4. National Conferences:

  1. Nidhi Chahal and Santanu Chaudhury, “High Quality Depth Map Estimation by Kinect Upsampling and Hole Filling using RGB Features and Mutual Information,” In IEEE, Fourth National Conference on Computer Vision, Pattern Recognition, Image Processing and Graphics (NCVPRIPG), pages 1-4, Dec. 2013.
  2. Nidhi Chahal, Meghna Pippal and Santanu Chaudhury, “Automated Conversion of 2D to 3D Image using Manifold Learning”, In IEEE, Fifth National Conference on Computer Vision, Pattern Recognition, Image Processing and Graphics (NCVPRIPG), pages 1-4, Dec. 2015.
  3. Nidhi Chahal, Meghna Pippal, Santanu Chaudhury, “Depth Estimation from Single Image using Machine Learning Techniques”, In ACM, Tenth Indian Conference on Computer Vision, Graphics and Image Processing, ISBN: 978-1-4503-4753-2, 18 – 22 December 2016, Indian Institute of Technology Guwahati.

 

 

Nidhi has earned her Ph.D in Computer Vision and Machine Learning from Electrical Engineering department, IIT Delhi. She has received Master of Technology from Jaypee Institute of Information Technology Noida and Bachelor of Technology from MDU Rohtak. The central component of her research has been machine learning and image processing, more specifically in area of 3D applications. The target applications of her research are next generation 3D smart camera devices, vehicle navigation using computer vision techniques. In her last endeavour, she has worked as a research associate at Indian Institute of Technology Delhi in projects funded by DST. Earlier, she has worked as visiting faculty at Delhi Technological University (formerly DCE). She has 6 publications in national and international conferences.