Ali Pourramezan Fard

About

Dedicated and innovative Machine Learning Engineer with extensive experience in computer vision, natural language processing, and generative models. Proficient in developing and implementing advanced algorithms for pattern recognition, depth estimation, 3D reconstruction, medical image analysis, and facial analysis. Demonstrated expertise in leveraging deep learning techniques, including convolutional neural networks (CNNs), generative adversarial networks (GANs), and transformers. Proven track record of leading impactful research projects and delivering high-performance solutions in both academic and industry settings. Skilled in collaborating with cross-functional teams to integrate cutting-edge computer vision technologies into real-world applications, ensuring robust and scalable results.

Projects

GANalyzer

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Analysis and Manipulation of GANs Latent Space for Controllable Face Synthesis

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InFo-Loss

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Linguistic-Based Mild Cognitive Impairment Detection Using Informative Loss

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PoseNet

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Sagittal Cervical Spine Landmark Point Detection in X-Ray Images

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ASMNet

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a Lightweight Deep Neural Network for Face Alignment and Pose Estimation

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KD-Loss

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Facial Landmark Points Detection Using Knowledge Distillation-Based Neural Networks

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ACR-Loss

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Adaptive Coordinate-based Regression Loss for Face Alignment

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Ad-Corre

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Adaptive Correlation-Based Loss for Facial Expression Recognition in the Wild

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