CONTACT

maan.jaspreetpitho@gmail.com

JaspreetSinghMaan

Jaspreet Singh

INTERESTS

  • Computer Vision

  • Equivariant/Invariant Neural Networks

  • Image Processing

  • 3D Computer Vision

  • Philosophy

EDUCATION

  • PhD (Computer Science)
  • M.Phil (Computer Science)
  • MCA (Computer Science)

Digital System to Measure Wheat Biomass and LAI

ABOUT

Presently, I am working as a Post Doctoral Research Associate (PDRA) in 3D Computer Vision and Deep Learning at the Lincoln Institute of Agri-Food Technology, University of Lincoln , UK under UKRI Project Titled: From Nitrogen Use Efficiency To Farm Profitability (NUE-Profits). I worked as a Project Officer at ACTDPL, Punjabi University, Patiala, India from 2022-2023.. I have finished my PhD in Computer Vision and Machine Learning at the Department of Computer Science, Punjabi University, Patiala, India. I have been working on designing the equivariant/invariant neural networks for various computer vision tasks (classification, regression, segmentation, etc.). My research interests include 2D/3D computer vision, reconstruction, equivariant/invariant neural networks, image processing, and philosophy.

List of Publications

  1. Jaspreet Singh, and Grzegorz Cielniak. Non-Destructive Biomass Estimation Based on 3D Reconstruction From A Handheld Camera . 2024 IEEE 20th International Conference on Automation Science and Engineering (CASE). IEEE, 2024.
  2. Jaspreet Singh, Chandan Singh, Color Object Classification using Zernike Moments-Based Rotation Invariant Bag-of-Visual-Words and Deep Convolutional Neural Networks , Information Fusion 97 (2023): 101823.
  3. Jaspreet Singh, Chandan Singh, Exploiting Equivariance and Invariance Representations in Neural Networks, IEEE/CVF Winter Conference on Applications of Computer Vision (WACV)-2023 to be held in Hawaii, USA.
  4. Jaspreet Singh, Chandan Singh, Learning Invariant Representations for Equivariant Neural Networks Using Orthogonal Moments, IEEE International Joint Conference on Neural Networks 2022, Padova, Italy (In-person)
  5. Jaspreet Singh, Chandan Singh, Bag of Groups of Convolutional Features Model for Visual Object Recognition. IEEE International Workshop On Machine Learning For Signal Processing 2021 held in Australia (virtual) .(Top 15% of the accepted papers)
  6. Chandan Singh, Jaspreet Singh, A survey on rotation invariance of orthogonal moments and transforms, Signal Processing, (Status: Accepted). (Elsevier SCI: Impact factor: 4.662)
  7. Chandan Singh, Jaspreet Singh, Geometrically invariant color, shape and texture features for object recognition using multiple kernel learning classification approach, Information Sciences, 484 (2019), 135-152. (Elsevier SCI: Impact factor: 6.795).
  8. Chandan Singh, Jaspreet Singh, Multi-channel versus quaternion orthogonal rotation invariant moments for color image representation, Digital Signal Processing, 78 (2018), 376-392. (Elsevier SCI: Impact factor: 3.867).
  9. Chandan Singh, Jaspreet Singh, Quaternion generalized Chebyshev-Fourier and pseudo-Jacobi-Fourier moments for color object recognition, Optics & Laser Technology, 106 (2018), 234-250. (Elsevier SCI: Impact factor: 3.233).
  10. Jaspreet Singh, Chandan Singh, Multi-channel generalized pseudo-Jacobi-Fourier moments for color image reconstruction and object recognition, In: IEEE Conference on International Conference on Advances in Pattern Recognition (ICAPR), held at ISI, Bangalore (India), from 27 to 30 Dec, 2017.