5 citations · 5 across the 4 of their papers we have counts for
4 papers
Extracting and Understanding the Superficial Knowledge in Alignment
Runjin Chen, Gabriel Jacob Perin, Xuxi Chen +5
Alignment of large language models (LLMs) with human values and preferences, often achieved through fine-tuning based on human feedback, is essential for ensuring safe and responsi…
Efficient License Plate Recognition in Videos Using Visual Rhythm and Accumulative Line Analysis
Victor Nascimento Ribeiro, Nina S. T. Hirata
Video-based Automatic License Plate Recognition (ALPR) involves extracting vehicle license plate text information from video captures. Traditional systems typically rely heavily on…
Combining YOLO and Visual Rhythm for Vehicle Counting
Victor Nascimento Ribeiro, Nina S. T. Hirata
Video-based vehicle detection and counting play a critical role in managing transport infrastructure. Traditional image-based counting methods usually involve two main steps: initi…
Efficient Video-Based ALPR System Using YOLO and Visual Rhythm
Victor Nascimento Ribeiro, Nina S. T. Hirata
Automatic License Plate Recognition (ALPR) involves extracting vehicle license plate information from image or a video capture. These systems have gained popularity due to the wide…