Jasmeet Singh's CV

Academic Qualification

Bachelor of Engineering in Electronics and Communication
Bennett University
Aggregate/CGPA: 7.93 August 2023

Work Experience

Research Intern at IIT KGP (KLIV)

Feb 2023 – Jun 2023

Implemented and analyzed computer vision techniques to reconstruct 3D scenes from 2D images and videos.
Conducted comprehensive research and experimentation on state-of-the-art techniques.
Synthesized findings into concise block diagrams and tables for presentation.

Deep Learning Research Intern at Bennett University, Greater Noida

Mar 2022 - Dec 2022

Utilized Python libraries for data visualization, generating interactive 3D pose points.
Conducted a study on Image Super Resolution models and evaluated PSNR, SSIM scores.

Academic Projects

Arduino Health Care System for COVID-19

Team size: 2
Developed a sensor-based system using Arduino to gather and analyze user health data.
Implemented classifiers to enhance system accuracy and effectiveness.

RGB to Hyperspectral Imaging

Team size: 3
GitHub Link
Developed an 8-Layer 2D Convolved autoencoder model for image transformation.
Assessed model performance using key metrics.

Domain Adaptation with CycleGAN

GitHub Link
Created a CycleGAN-based project for domain adaptation with adversarial training.

Pix2Pix Image Generation

GitHub Link
Implemented a Pix2Pix project for realistic image generation from sketches.

Neural Style Transfer

GitHub Link
Developed a project using VGG19 for blending styles with original content images.

Paper Submission

1. Track Name: Archives of Computational Methods in Engineering.

Paper Title: Deep learning based Single Image Super-Resolution: A comprehensive survey.

Description: This paper reviews deep learning-based algorithms for single image super-resolution (SISR), highlighting key components, learning strategies, datasets, and quality assessment metrics. Future insights are presented for improved performance with low computational cost.

Authors: Ankit Shukla (Primary), Avinash Upadhyay, Jasmeet Singh, Manoj Sharma.

2. Track Name: ICCV2023

Paper Title: Absolute 3D Pose Estimation from Multi-View Synchronized Videos Using Transformer-based 3D Pose Baseline for Temporal and Spatial Coherence.

Primary Subject: Human pose/shape estimation.

Authors: Avinash Upadhyay (Primary), Ankit Shukla, Udyan Sharma, Jasmeet Singh, Manoj Sharma.

Skills

Technical Skills

Languages: Python, SQL, MATLAB, C, C++, HTML

Libraries and Packages:

Machine Learning and Deep Learning: ScikitLearn, Pandas, Numpy, Pytorch, Keras, Tensorflow
Data Visualization: Matplotlib, Seaborn, Plotly, pythreejs
Image Processing: OpenCV, Pillow, ScikitImage
Others: Tkinter, BeautifulSoup, pymysql, Selenium

Tools: VS code, Jupyter Notebook, Tableau, MS Excel, Power BI, GitHub, PopSQL

Jasmeet Singh