1 citations · 1 across the 7 of their papers we have counts for
7 papers
Real-Time Compressed Sensing for Joint Hyperspectral Image Transmission and Restoration for CubeSat
Chih-Chung Hsu, Chih-Yu Jian, Eng-Shen Tu +2
This paper addresses the challenges associated with hyperspectral image (HSI) reconstruction from miniaturized satellites, which often suffer from stripe effects and are computatio…
Progressive Alignment with VLM-LLM Feature to Augment Defect Classification for the ASE Dataset
Chih-Chung Hsu, Chia-Ming Lee, Chun-Hung Sun +1
Traditional defect classification approaches are facing with two barriers. (1) Insufficient training data and unstable data quality. Collecting sufficient defective sample is expen…
MISS: Memory-efficient Instance Segmentation Framework By Visual Inductive Priors Flow Propagation
Chih-Chung Hsu, Chia-Ming Lee
Instance segmentation, a cornerstone task in computer vision, has wide-ranging applications in diverse industries. The advent of deep learning and artificial intelligence has under…
Augment Before Copy-Paste: Data and Memory Efficiency-Oriented Instance Segmentation Framework for Sport-scenes
Chih-Chung Hsu, Chia-Ming Lee, Ming-Shyen Wu
Instance segmentation is a fundamental task in computer vision with broad applications across various industries. In recent years, with the proliferation of deep learning and artif…
OCR is All you need: Importing Multi-Modality into Image-based Defect Detection System
Chih-Chung Hsu, Chia-Ming Lee, Chun-Hung Sun +1
Automatic optical inspection (AOI) plays a pivotal role in the manufacturing process, predominantly leveraging high-resolution imaging instruments for scanning purposes. It detects…
Simple 2D Convolutional Neural Network-based Approach for COVID-19 Detection
Chih-Chung Hsu, Chia-Ming Lee, Yang Fan Chiang +4
This study explores the use of deep learning techniques for analyzing lung Computed Tomography (CT) images. Classic deep learning approaches face challenges with varying slice coun…