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Farhad Pakdaman

2 accepted papers

2024

Panoramic Image Inpainting with Gated Convolution and Contextual Reconstruction Loss

ICASSP 2024accepted

Deep learning-based methods have demonstrated encouraging results in tackling the task of panoramic image inpainting. However, it is challenging for existing methods to distinguish valid pixels from invalid pixels and find suitable references for corrupted areas, thus leading to artifacts in the inp…

Cited by 0SourceScholar
2023

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

ICASSP 2023accepted

Learned Compression (LC) is the emerging technology for compressing image and video content, using deep neural networks. Despite being new, LC methods have already gained a compression efficiency comparable to state-of-the-art image compression, such as HEVC or even VVC. However, the existing soluti…

Cited by 0SourceScholar