61 citations · 112 across the 27 of their papers we have counts for
21 papers
PromptCIR: Blind Compressed Image Restoration with Prompt Learning
Bingchen Li, Xin Li, Yiting Lu +5
Blind Compressed Image Restoration (CIR) has garnered significant attention due to its practical applications. It aims to mitigate compression artifacts caused by unknown quality f…
NTIRE 2024 Challenge on Short-form UGC Video Quality Assessment: Methods and Results
Xin Li, Kun Yuan, Yajing Pei +65
This paper reviews the NTIRE 2024 Challenge on Shortform UGC Video Quality Assessment (S-UGC VQA), where various excellent solutions are submitted and evaluated on the collected da…
VisualCritic: Making LMMs Perceive Visual Quality Like Humans
Zhipeng Huang, Zhizheng Zhang, Yiting Lu +3
At present, large multimodal models (LMMs) have exhibited impressive generalization capabilities in understanding and generating visual signals. However, they currently still lack…
Diagnosis-oriented Medical Image Compression with Efficient Transfer Learning
Guangqi Xie, Xin Li, Xiaohan Pan +1
Remote medical diagnosis has emerged as a critical and indispensable technique in practical medical systems, where medical data are required to be efficiently compressed and transm…
FreqAlign: Excavating Perception-oriented Transferability for Blind Image Quality Assessment from A Frequency Perspective
Xin Li, Yiting Lu, Zhibo Chen
Blind Image Quality Assessment (BIQA) is susceptible to poor transferability when the distribution shift occurs, e.g., from synthesis degradation to authentic degradation. To mitig…
GraphAdapter: Tuning Vision-Language Models With Dual Knowledge Graph
Xin Li, Dongze Lian, Zhihe Lu +3
Adapter-style efficient transfer learning (ETL) has shown excellent performance in the tuning of vision-language models (VLMs) under the low-data regime, where only a few additiona…