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Farhad Pakdaman

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Channel-wise Feature Decorrelation for Enhanced Learned Image Compression

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Mar 16, 2024
Farhad Pakdaman, Moncef Gabbouj

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Joint End-to-End Image Compression and Denoising: Leveraging Contrastive Learning and Multi-Scale Self-ONNs

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Feb 08, 2024
Yuxin Xie, Li Yu, Farhad Pakdaman, Moncef Gabbouj

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Pixel-Wise Color Constancy via Smoothness Techniques in Multi-Illuminant Scenes

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Feb 05, 2024
Umut Cem Entok, Firas Laakom, Farhad Pakdaman, Moncef Gabbouj

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Perceptual Learned Image Compression via End-to-End JND-Based Optimization

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Feb 05, 2024
Farhad Pakdaman, Sanaz Nami, Moncef Gabbouj

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Panoramic Image Inpainting With Gated Convolution And Contextual Reconstruction Loss

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Feb 05, 2024
Li Yu, Yanjun Gao, Farhad Pakdaman, Moncef Gabbouj

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Efficient Bitrate Ladder Construction using Transfer Learning and Spatio-Temporal Features

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Jan 06, 2024
Ali Falahati, Mohammad Karim Safavi, Ardavan Elahi, Farhad Pakdaman, Moncef Gabbouj

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Comprehensive Complexity Assessment of Emerging Learned Image Compression on CPU and GPU

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Dec 11, 2022
Farhad Pakdaman, Moncef Gabbouj

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BLINC: Lightweight Bimodal Learning for Low-Complexity VVC Intra Coding

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Jan 19, 2022
Farhad Pakdaman, Mohammad Ali Adelimanesh, Mahmoud Reza Hashemi

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