54 citations · 56 across the 9 of their papers we have counts for
9 papers
Towards Robust DeepFake Detection under Unstable Face Sequences: Adaptive Sparse Graph Embedding with Order-Free Representation and Explicit Laplacian Spectral Prior
Chih-Chung Hsu, Shao-Ning Chen, Chia-Ming Lee +2
Ensuring the authenticity of video content remains challenging as DeepFake generation becomes increasingly realistic and robust against detection. Most existing detectors implicitl…
Anchoring Trends: Mitigating Social Media Popularity Prediction Drift via Feature Clustering and Expansion
Chia-Ming Lee, Bo-Cheng Qiu, Cheng-Jun Kang +5
Predicting online video popularity faces a critical challenge: prediction drift, where models trained on historical data rapidly degrade due to evolving viral trends and user behav…
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…
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…
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,…
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…
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…