activity
20222025
most citedA Simple yet Effective Network based on Vision Transformer for Camouflaged Object and Salient Object Detection

3 citations · 9 across the 8 of their papers we have counts for

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14 papers · 1 filter

cs.CV2025

DSDNet: Raw Domain Demoiréing via Dual Color-Space Synergy

Qirui Yang, Fangpu Zhang, Yeying Jin +4

With the rapid advancement of mobile imaging, capturing screens using smartphones has become a prevalent practice in distance learning and conference recording. However, moiré arti…

cs.CV2024

Learning Adaptive Lighting via Channel-Aware Guidance

Qirui Yang, Peng-Tao Jiang, Hao Zhang +4

Learning lighting adaptation is a crucial step in achieving good visual perception and supporting downstream vision tasks. Current research often addresses individual light-related…

cs.CV2024

Learning Differential Pyramid Representation for Tone Mapping

Qirui Yang, Yinbo Li, Yihao Liu +5

Existing tone mapping methods operate on downsampled inputs and rely on handcrafted pyramids to recover high-frequency details. These designs typically fail to preserve fine textur…

cs.CV2024

Zero-Shot Video Restoration and Enhancement Using Pre-Trained Image Diffusion Model

Cong Cao, Huanjing Yue, Xin Liu +1

Diffusion-based zero-shot image restoration and enhancement models have achieved great success in various tasks of image restoration and enhancement. However, directly applying the…

cs.CV2024

DeeDSR: Towards Real-World Image Super-Resolution via Degradation-Aware Stable Diffusion

Chunyang Bi, Xin Luo, Sheng Shen +3

Diffusion models, known for their powerful generative capabilities, play a crucial role in addressing real-world super-resolution challenges. However, these models often focus on i…

cs.CV2024

AUFormer: Vision Transformers are Parameter-Efficient Facial Action Unit Detectors

Kaishen Yuan, Zitong Yu, Xin Liu +3

Facial Action Units (AU) is a vital concept in the realm of affective computing, and AU detection has always been a hot research topic. Existing methods suffer from overfitting iss…