Umair Haroon

PhD student under Prof. Petia Radeva & Co. Prof. Ricardo Marques working on "3D Reconstruction & Object Volume Estimation"

Profile summary

Umair is a Predoctoral scholar at the Mathematics and Computer Sciences Department of the University of Barcelona, specializing in computer vision and deep learning. He holds a Master's Degree in Software Convergence from Sejong University, Seoul, South Korea. My expertise lies in conceptualizing and implementing advanced Deep Learning techniques for diverse computer vision tasks. In addition to his Master's research, he has developed a range of Machine Learning and Deep Learning models, including 2D-CNNs, 3D-CNNs, autoencoders, LSTM and its variants, and GRU for applications such as Action, Interaction, and Activity Recognition, Object Detection, Anomaly Detection, Image Retrieval, Surveillance Video Summarization, and Electricity Consumption Prediction. Currently, his focus is on leveraging Food and Nutrition data for Neural Radiance Field (NeRF), 3D Reconstruction, and Food Volume Estimation projects.

Latest publications

Umair Haroon has 6 publications on Google Scholar.
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Pre-NeRF 360: Enriching Unbounded Appearances for Neural Radiance Fields

2023   |   Ahmad AlMughrabi, Umair Haroon, Ricardo Marques, Petia Radeva   |   arXiv preprint arXiv:2303.12234, 2023

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Intelligent dual stream CNN and echo state network for anomaly detection

2022   |   Waseem Ullah, Tanveer Hussain, Zulfiqar Ahmad Khan, Umair Haroon, Sung Wook Baik   |   Knowledge-Based Systems 253, 109456, 2022

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A multi-stream sequence learning framework for human interaction recognition

2022   |   Umair Haroon, Amin Ullah, Tanveer Hussain, Waseem Ullah, Muhammad Sajjad, Khan Muhammad, Mi Young Lee, Sung Wook Baik   |   IEEE Transactions on Human-Machine Systems 52 (3), 435-444, 2022

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Deep Learning Assists Surveillance Experts: Toward Video Data Prioritization

2022   |   Tanveer Hussain, Fath U Min Ullah, Samee Ullah Khan, Amin Ullah, Umair Haroon, Khan Muhammad, Sung Wook Baik, Victor Hugo C de Albuquerque   |   IEEE Transactions on Industrial Informatics, 2022

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A Study of Human Interaction Recognition based on Dual-Stream Sequence Learning Framework

2022   |   Umair Haroon

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A comparative analysis of efficient CNN-based brain tumor classification models

2021   |   Tanveer Hussain, Amin Ullah, Umair Haroon, Khan Muhammad, Sung Wook Baik   |   Generalization with deep learning: for improvement on sensing capability …, 2021

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