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Ali Hassan
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Ali Hassan

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Ali Hassan is a Research Assistant in Computer Vision Lab (cvlab ) at LUMS Syed Babar Ali School of Science and Engineering. Research Interest My main areas of interest are Computer Vision, Machine Learning and Robotics.  I am primarily interested in Human Motion Analysis. I am currently working on “Human Body Pose Estimation from Monocular…

Deep Learning

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Deep Learning is a hierarchical learning methodology based on artificial neural networks which are algorithms inspired by the structure and function of the brain. It has applications in wide-range of industries these days such as face-recognisers working at massive scales, robotics, speech translation, text analysis, improving customer experience, autonomous vehicles etc. In this course we…

AAAI2023 – Spatio-Temporal driven Attention Graph Neural Network with Block Adjacency matrix (STAG-NN-BA) for Remote Land-use Change Detection
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AAAI2023 – Spatio-Temporal driven Attention Graph Neural Network with Block Adjacency matrix (STAG-NN-BA) for Remote Land-use Change Detection

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Usman Nazir, Wadood Islam, Sara Khalid, Murtaza Taj Abstract: Land-use monitoring is fundamental for spatial planning, particularly in view of compound impacts of growing global populations and climate change. Despite existing applications of deep learning in land use monitoring, standard convolutional kernels in deep neural networks limit the applications of these networks to the Euclidean…

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