4 papers
FedKLPR: KL-Guided Pruning-Aware Federated Learning for Person Re-Identification
Po-Hsien Yu, Yu-Syuan Tseng, Shao-Yi Chien
Person re-identification (re-ID) is a fundamental task in intelligent surveillance and public safety. Federated learning (FL) provides a privacy-preserving paradigm for collaborati…
FGFP: A Fractional Gaussian Filter and Pruning for Deep Neural Networks Compression
Kuan-Ting Tu, Po-Hsien Yu, Yu-Syuan Tseng +1
Network compression techniques have become increasingly important in recent years because the loads of Deep Neural Networks (DNNs) are heavy for edge devices in real-world applicat…
Efficient Concertormer for Image Deblurring and Beyond
Pin-Hung Kuo, Jinshan Pan, Shao-Yi Chien +1
The Transformer architecture has achieved remarkable success in natural language processing and high-level vision tasks over the past few years. However, the inherent complexity of…
Pomo3D: 3D-Aware Portrait Accessorizing and More
Tzu-Chieh Liu, Chih-Ting Liu, Shao-Yi Chien
We propose Pomo3D, a 3D portrait manipulation framework that allows free accessorizing by decomposing and recomposing portraits and accessories. It enables the avatars to attain ou…