Report on Academic Paper: “Sample Correlation for Fingerprinting Deep Face Recognition” Background and Research Problem In recent years, the rapid advancements in deep learning technologies have significantly propelled the development of face recognition. However, commercial face recognition models face increasing intellectual property (IP) threats...

The Academic Report on Low-Frame-Rate Multi-Object Tracking Introduction and Research Background In recent years, multi-object tracking (MOT) has been widely applied in intelligent video surveillance, autonomous driving, and robotics vision. However, traditional MOT methods are predominantly designed for high-frame-rate videos and face significant ...

Research Highlights: Low-Light Activity Recognition Based on Pseudo-Supervision and Adaptive Audio-Visual Fusion Academic Context This paper investigates the challenges of recognizing activities under low-light conditions. While existing activity recognition technologies perform well in well-lit environments, they often fail when dealing with low-l...

EfficientDeRain+: A High-Efficiency Image Deraining Method Enhanced by RainMix Augmentation Background Rain significantly affects the quality of images and videos captured by computer vision systems, with raindrops and streaks impairing clarity and degrading performance in tasks like pedestrian detection, object tracking, and semantic segmentation....

Feature Matching Based on Graph Clustering: Implementation and Application of Local Affine Consensus Academic Background and Motivation Feature matching is a fundamental problem in computer vision, playing a critical role in various tasks such as 3D reconstruction, image retrieval, image registration, and simultaneous localization and mapping (SLAM...