GitHub

Towards Unified Image Deblurring using a Mixture-of-Experts Decoder

TLDR. We present the first all-in-one deblurring method, enabled by the strong similarity we observed in the network weights for handling different blur degradations. This is the official ...
GitHub

Can We Get Rid of Handcrafted Feature Extractors? SparseViT: Nonsemantics-Centered, Parameter-Efficient Image Manipulation Localization through Spare-Coding Transformer

Official repository for the AAAI2025 paper Can We Get Rid of Handcrafted Feature Extractors? SparseViT: Nonsemantics-Centered, Parameter-Efficient Image Manipulation Localization through Spare-Coding ...
IEEE

Unsupervised Deblurring Algorithm Based on Deep Image Prior for Vehicle Detection Systems

Abstract: Radiation imaging vehicle inspection systems are widely employed in public security applications. However, at high inspection speeds, the resulting radiation images often become blurry and ...
WPBF

FBI releases images of masked suspect at Nancy Guthrie’s door, gun carried in 'bizarre' front position

WPBF 25 NEWS STARTS WITH BREAKING NEWS. OUR BREAKING NEWS FIRST AT SIX. THE STARTLING NEW PICTURES AND VIDEOS OF A MASKED PERSON WITH A GUN. NANCY GUTHRIE’S FRONT DOOR THE NIGHT SHE DISAPPEARED. FBI ...
IEEE

Deep Convolutional Primal-Dual Network for Image Deblurring

Abstract: Image deblurring is a challenging image task, which is regarded as a classical inverse problem. Deep primal-dual proximal network (DeepPDNet) is recently proposed which unrolls the Condat-V ...