80 citations · 174 across the 24 of their papers we have counts for
5 papers · 1 filter
Motion Transfer-Driven intra-class data augmentation for Finger Vein Recognition
Xiu-Feng Huang, Lai-Man Po, Wei-Feng Ou
Finger vein recognition (FVR) has emerged as a secure biometric technique because of the confidentiality of vascular bio-information. Recently, deep learning-based FVR has gained i…
Modeling Dual-Exposure Quad-Bayer Patterns for Joint Denoising and Deblurring
Yuzhi Zhao, Lai-Man Po, Xin Ye +2
Image degradation caused by noise and blur remains a persistent challenge in imaging systems, stemming from limitations in both hardware and methodology. Single-image solutions fac…
FedRepOpt: Gradient Re-parametrized Optimizers in Federated Learning
Kin Wai Lau, Yasar Abbas Ur Rehman, Pedro Porto Buarque de Gusmão +3
Federated Learning (FL) has emerged as a privacy-preserving method for training machine learning models in a distributed manner on edge devices. However, on-device models face inhe…
SBoRA: Low-Rank Adaptation with Regional Weight Updates
Lai-Man Po, Yuyang Liu, Haoxuan Wu +5
This paper introduces Standard Basis LoRA (SBoRA), a novel parameter-efficient fine-tuning approach for Large Language Models that builds upon the pioneering works of Low-Rank Adap…
AudioRepInceptionNeXt: A lightweight single-stream architecture for efficient audio recognition
Kin Wai Lau, Yasar Abbas Ur Rehman, Lai-Man Po
Recent research has successfully adapted vision-based convolutional neural network (CNN) architectures for audio recognition tasks using Mel-Spectrograms. However, these CNNs have…