Federated Learning based Base Station Selection using LiDAR
Base station (BS) selection is important in establishing reliable communication links in millimeter-wave (mmWave) systems. The selection procedure typically requires each BS […]
Antenna Technologies for 6G – Advances and Challenges
Learning Binary-Antithetical Information Bottleneck for Generalizable Face Anti-Spoofing
We investigate generalizable face anti-spoofing (FAS) using information bottleneck theory. As generalizable FAS aims to detect spoofing in unseen scenarios, it has […]
Low-Complexity Cramér-Rao Lower Bound and Sum Rate Optimization in ISAC Systems
While Cramér-Rao lower bound is an important metric in sensing functions in integrated sensing and communications (ISAC) designs, its optimization usually involves […]
Gaze-GZ: Generalized Gaze Estimation with Multi-scale Gaze Zone Prediction
MSRFormer: Hybrid Scale Self-Attention and Local Fast Convolution Transformer for Facial Expression Recognition
Simplified Augmented Real-Valued Time-Delay Neural Network for Digital Predistortion
Deep Learning for Cross-Domain Few-Shot Visual Recognition: A Survey
While deep learning excels in computer vision tasks with abundant labeled data, its performance diminishes significantly in scenarios with limited labeled samples. […]
Exploring Facial Kinship Verification through Contactless Heart Activity Analysis
Facial Kinship Verification (FKV) aims at automatically determining whether two subjects have a kinship relation based on human faces. It has potential […]
Global Cross-Entropy Loss for Deep Face Recognition
Contemporary deep face recognition techniques predominantly utilize the Softmax loss function, designed based on the similarities between sample features and class prototypes. […]