Huanjing Yue

papers

298

total citations

papers (11)

Supervised Raw Video Denoising With a Benchmark Dataset on Dynamic Scenes

CVPR 2020arXiv

137

citations

Implicit Transformer Network for Screen Content Image Continuous Super-Resolution

NEURIPS 2021arXiv

citations

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

ECCV 2024arXiv

citations

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

AAAI 2025arXiv

citations

Incomplete Multi-modal Brain Tumor Segmentation via Learnable Sorting State Space Model

CVPR 2025

citations

Spatio-temporal Contrastive Domain Adaptation for Action Recognition

CVPR 2021

citations

TMFormer: Token Merging Transformer for Brain Tumor Segmentation with Missing Modalities

AAAI 2024

citations

Dec-Adapter: Exploring Efficient Decoder-Side Adapter for Bridging Screen Content and Natural Image Compression

ICCV 2023

citations

Huanjing Yue

papers (11)

Supervised Raw Video Denoising With a Benchmark Dataset on Dynamic Scenes

Implicit Transformer Network for Screen Content Image Continuous Super-Resolution

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

Real-RawVSR: Real-World Raw Video Super-Resolution with a Benchmark Dataset

Learning Adaptive Lighting via Channel-Aware Guidance

KeDuSR: Real-World Dual-Lens Super-resolution via Kernel-Free Matching

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

Incomplete Multi-modal Brain Tumor Segmentation via Learnable Sorting State Space Model

Spatio-temporal Contrastive Domain Adaptation for Action Recognition

TMFormer: Token Merging Transformer for Brain Tumor Segmentation with Missing Modalities

Dec-Adapter: Exploring Efficient Decoder-Side Adapter for Bridging Screen Content and Natural Image Compression

papers (11)

Supervised Raw Video Denoising With a Benchmark Dataset on Dynamic Scenes

Implicit Transformer Network for Screen Content Image Continuous Super-Resolution

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

Real-RawVSR: Real-World Raw Video Super-Resolution with a Benchmark Dataset

Learning Adaptive Lighting via Channel-Aware Guidance

KeDuSR: Real-World Dual-Lens Super-resolution via Kernel-Free Matching

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

Incomplete Multi-modal Brain Tumor Segmentation via Learnable Sorting State Space Model

Spatio-temporal Contrastive Domain Adaptation for Action Recognition

TMFormer: Token Merging Transformer for Brain Tumor Segmentation with Missing Modalities

Dec-Adapter: Exploring Efficient Decoder-Side Adapter for Bridging Screen Content and Natural Image Compression