PhD student under Prof. Petia Radeva & Co. Prof. Ricardo Marques working on "3D Reconstruction & Object Volume Estimation"
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.
Umair Haroon has 6 publications on Google Scholar.
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2023 | Ahmad AlMughrabi, Umair Haroon, Ricardo Marques, Petia Radeva | arXiv preprint arXiv:2303.12234, 2023
2022 | Waseem Ullah, Tanveer Hussain, Zulfiqar Ahmad Khan, Umair Haroon, Sung Wook Baik | Knowledge-Based Systems 253, 109456, 2022
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
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
2022 | Umair Haroon
2021 | Tanveer Hussain, Amin Ullah, Umair Haroon, Khan Muhammad, Sung Wook Baik | Generalization with deep learning: for improvement on sensing capability …, 2021