37 citations · 113 across the 20 of their papers we have counts for
13 papers · 1 filter
RASR: Retrieval-Augmented Super Resolution for Practical Reference-based Image Restoration
Jiaqi Yan, Shuning Xu, Xiangyu Chen +5
Reference-based Super Resolution (RefSR) improves upon Single Image Super Resolution (SISR) by leveraging high-quality reference images to enhance texture fidelity and visual reali…
AnomalyR1: A GRPO-based End-to-end MLLM for Industrial Anomaly Detection
Yuhao Chao, Jie Liu, Jie Tang +1
Industrial Anomaly Detection (IAD) poses a formidable challenge due to the scarcity of defective samples, making it imperative to deploy models capable of robust generalization to…
RASA: Replace Anyone, Say Anything -- A Training-Free Framework for Audio-Driven and Universal Portrait Video Editing
Tianrui Pan, Lin Liu, Jie Liu +4
Portrait video editing focuses on modifying specific attributes of portrait videos, guided by audio or video streams. Previous methods typically either concentrate on lip-region re…
CATANet: Efficient Content-Aware Token Aggregation for Lightweight Image Super-Resolution
Xin Liu, Jie Liu, Jie Tang +1
Transformer-based methods have demonstrated impressive performance in low-level visual tasks such as Image Super-Resolution (SR). However, its computational complexity grows quadra…
AutoLUT: LUT-Based Image Super-Resolution with Automatic Sampling and Adaptive Residual Learning
Yuheng Xu, Shijie Yang, Xin Liu +3
In recent years, the increasing popularity of Hi-DPI screens has driven a rising demand for high-resolution images. However, the limited computational power of edge devices poses a…
GTPT: Group-based Token Pruning Transformer for Efficient Human Pose Estimation
Haonan Wang, Jie Liu, Jie Tang +4
In recent years, 2D human pose estimation has made significant progress on public benchmarks. However, many of these approaches face challenges of less applicability in the industr…
Sketch and Refine: Towards Fast and Accurate Lane Detection
Chao Chen, Jie Liu, Chang Zhou +2
Lane detection is to determine the precise location and shape of lanes on the road. Despite efforts made by current methods, it remains a challenging task due to the complexity of…
Robust Object Modeling for Visual Tracking
Yidong Cai, Jie Liu, Jie Tang +1
Object modeling has become a core part of recent tracking frameworks. Current popular tackers use Transformer attention to extract the template feature separately or interactively…
Lightweight Super-Resolution Head for Human Pose Estimation
Haonan Wang, Jie Liu, Jie Tang +1
Heatmap-based methods have become the mainstream method for pose estimation due to their superior performance. However, heatmap-based approaches suffer from significant quantizatio…
Video Frame Interpolation with Densely Queried Bilateral Correlation
Chang Zhou, Jie Liu, Jie Tang +1
Video Frame Interpolation (VFI) aims to synthesize non-existent intermediate frames between existent frames. Flow-based VFI algorithms estimate intermediate motion fields to warp t…
From Coarse to Fine: Hierarchical Pixel Integration for Lightweight Image Super-Resolution
Jie Liu, Chao Chen, Jie Tang +1
Image super-resolution (SR) serves as a fundamental tool for the processing and transmission of multimedia data. Recently, Transformer-based models have achieved competitive perfor…
NTIRE 2022 Challenge on Efficient Super-Resolution: Methods and Results
Yawei Li, Kai Zhang, Radu Timofte +108
This paper reviews the NTIRE 2022 challenge on efficient single image super-resolution with focus on the proposed solutions and results. The task of the challenge was to super-reso…
Simple and Lightweight Human Pose Estimation
Zhe Zhang, Jie Tang, Gangshan Wu
Recent research on human pose estimation has achieved significant improvement. However, most existing methods tend to pursue higher scores using complex architecture or computation…