most citedArbitrary-Resolution and Arbitrary-Scale Face Super-Resolution with Implicit Representation Networks

6 citations · 13 across the 5 of their papers we have counts for

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cs.CV2026

Dynamic self-ensemble on multi-exit residual vision transformer for small-data image classification

Stephen Ekaputra Limantoro, Yan-Kai Wang, Ching-Chun Huang +4

Vision Transformer (ViT) has garnered increased attention for image classification in recent years. However, ViT is notorious for its data-hungry problem as it achieves high-perfor…

cs.CV2026

IDAG-Edit: Multi-Object Video Editing via Instance-Decoupled Attention and Guidance

Yuan-Zhih Lin, Huu-Thang Nguyen, Huu-Phu Do +2

Diffusion-based video editing has made significant progress; however, achieving precise and temporally consistent object-level control, especially in multi-object scenarios, remain…

cs.CV2025

COACH: Collaborative Agents for Contextual Highlighting -- A Multi-Agent Framework for Sports Video Analysis

Tsz-To Wong, Ching-Chun Huang, Hong-Han Shuai

Intelligent sports video analysis demands a comprehensive understanding of temporal context, from micro-level actions to macro-level game strategies. Existing end-to-end models oft…

cs.CV2025

DNA: Dual-branch Network with Adaptation for Open-Set Online Handwriting Generation

Tsai-Ling Huang, Nhat-Tuong Do-Tran, Ngoc-Hoang-Lam Le +2

Online handwriting generation (OHG) enhances handwriting recognition models by synthesizing diverse, human-like samples. However, existing OHG methods struggle to generate unseen c…

cs.CV2025★ 6 cited

DetailSemNet: Elevating Signature Verification through Detail-Semantic Integration

Meng-Cheng Shih, Tsai-Ling Huang, Yu-Heng Shih +4

Offline signature verification (OSV) is a frequently utilized technology in forensics. This paper proposes a new model, DetailSemNet, for OSV. Unlike previous methods that rely on…

cs.CV2025★ 6 cited

Arbitrary-Resolution and Arbitrary-Scale Face Super-Resolution with Implicit Representation Networks

Yi Ting Tsai, Yu Wei Chen, Hong-Han Shuai +1

Face super-resolution (FSR) is a critical technique for enhancing low-resolution facial images and has significant implications for face-related tasks. However, existing FSR method…