54 citations · 60 across the 43 of their papers we have counts for
15 papers · 1 filter
PromptHSI: Universal Hyperspectral Image Restoration with Vision-Language Modulated Frequency Adaptation
Chia-Ming Lee, Ching-Heng Cheng, Yu-Fan Lin +5
Recent advances in All-in-One (AiO) RGB image restoration have demonstrated the effectiveness of prompt learning in handling multiple degradations within a single model. However, e…
Self-supervised Fusarium Head Blight Detection with Hyperspectral Image and Feature Mining
Yu-Fan Lin, Ching-Heng Cheng, Bo-Cheng Qiu +3
Fusarium Head Blight (FHB) is a serious fungal disease affecting wheat (including durum), barley, oats, other small cereal grains, and corn. Effective monitoring and accurate detec…
Revisiting Vision-Language Features Adaptation and Inconsistency for Social Media Popularity Prediction
Chih-Chung Hsu, Chia-Ming Lee, Yu-Fan Lin +3
Social media popularity (SMP) prediction is a complex task involving multi-modal data integration. While pre-trained vision-language models (VLMs) like CLIP have been widely adopte…
CSAKD: Knowledge Distillation with Cross Self-Attention for Hyperspectral and Multispectral Image Fusion
Chih-Chung Hsu, Chih-Chien Ni, Chia-Ming Lee +1
Hyperspectral imaging, capturing detailed spectral information for each pixel, is pivotal in diverse scientific and industrial applications. Yet, the acquisition of high-resolution…
GRACE: Graph-Regularized Attentive Convolutional Entanglement with Laplacian Smoothing for Robust DeepFake Video Detection
Chih-Chung Hsu, Shao-Ning Chen, Mei-Hsuan Wu +3
As DeepFake video manipulation techniques escalate, posing profound threats, the urgent need to develop efficient detection strategies is underscored. However, one particular issue…
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…
A Closer Look at Spatial-Slice Features Learning for COVID-19 Detection
Chih-Chung Hsu, Chia-Ming Lee, Yang Fan Chiang +4
Conventional Computed Tomography (CT) imaging recognition faces two significant challenges: (1) There is often considerable variability in the resolution and size of each CT scan,…
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…
The Ninth NTIRE 2024 Efficient Super-Resolution Challenge Report
Bin Ren, Yawei Li, Nancy Mehta +129
This paper provides a comprehensive review of the NTIRE 2024 challenge, focusing on efficient single-image super-resolution (ESR) solutions and their outcomes. The task of this cha…
NTIRE 2024 Challenge on Image Super-Resolution (x4): Methods and Results
Zheng Chen, Zongwei Wu, Eduard Zamfir +85
This paper reviews the NTIRE 2024 challenge on image super-resolution (4), highlighting the solutions proposed and the outcomes obtained. The challenge involves generating…
DRCT: Saving Image Super-resolution away from Information Bottleneck
Chih-Chung Hsu, Chia-Ming Lee, Yi-Shiuan Chou
In recent years, Vision Transformer-based approaches for low-level vision tasks have achieved widespread success. Unlike CNN-based models, Transformers are more adept at capturing…
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…