Learning with Limited Data for Face Analysis -- FAPN: Face Alignment Propagation Network for Face Video Super-Resolution -- Micro-expression recognition using a shallow ConvLSTM-based network -- Adversarial Machine Learning towards Advanced Vision Systems -- ADVFilter: Adversarial Example Generated by Perturbing Optical Path -- Enhancing Federated Learning Robustness Through clustering Non-IID Features -- Towards Improving the Anti-attack Capability of the RangeNet++ -- Computer Vision for Medical Computing -- Ensemble Model of Visual Transformer and CNN Helps BA Diagnosis for Doctors in Underdeveloped Areas -- Understanding Tumor Micro Environment using Graph theory -- Handling Domain Shift for Lesion Detection via Semi-Supervised Domain Adaptation -- Photorealistic Facial Wrinkles Removal -- Improving Segmentation of Breast Arterial Calcifications from Digital Mammography: Good Annotation Is All You Need -- Machine Learning and Computing for Visual Semantic Analysis -- Towards Scene Understanding for Autonomous Operations on Airport Aprons -- Lightweight Hyperspectral Image Reconstruction Network with Deep Feature Hallucination -- A Transformer-based Model for Preoperative Early Recurrence Prediction of Hepatocellular Carcinoma with Muti-p -- CaltechFN: Distorted and Partially Occluded Digits -- Temporal Extension Topology Learning for Video-based Person Re-Identification -- Deep RGB-driven Learning Network for Unsupervised Hyperspectral Image Super-resolution -- Gift from nature: Potential Energy Minimization for explainable dataset distillation -- Object Centric Point Sets Feature Learning with Matrix Decomposition -- Aerial Image Segmentation via Noise Dispelling and Content Distilling -- Vision Transformers Theory and Applications -- Temporal Cross-attention for Action Recognition -- Transformer Based Motion In-Betweening -- Convolutional point Transformer -- Cross-Attention Transformer for Video Interpolation -- Deep Learning-Based Small Object Detection from Images and Videos -- Evaluating and Bench-marking Object Detection Models for Traffic Sign and Traffic Light Datasets -- Exploring Spatial-temporal Instance Relationships In an Intermediate Domain For Image-to-video Object Detection.