8 citations · 16 across the 7 of their papers we have counts for
7 papers
PTM-VQA: Efficient Video Quality Assessment Leveraging Diverse PreTrained Models from the Wild
Kun Yuan, Hongbo Liu, Mading Li +6
Video quality assessment (VQA) is a challenging problem due to the numerous factors that can affect the perceptual quality of a video, \eg, content attractiveness, distortion type,…
Reconstructed Convolution Module Based Look-Up Tables for Efficient Image Super-Resolution
Guandu Liu, Yukang Ding, Mading Li +3
Look-up table(LUT)-based methods have shown the great efficacy in single image super-resolution (SR) task. However, previous methods ignore the essential reason of restricted recep…
Quality-aware Pre-trained Models for Blind Image Quality Assessment
Kai Zhao, Kun Yuan, Ming Sun +2
Blind image quality assessment (BIQA) aims to automatically evaluate the perceived quality of a single image, whose performance has been improved by deep learning-based methods in…
Aesthetic Photo Collage with Deep Reinforcement Learning
Mingrui Zhang, Mading Li, Li Chen +1
Photo collage aims to automatically arrange multiple photos on a given canvas with high aesthetic quality. Existing methods are based mainly on handcrafted feature optimization, wh…
Progressive Spatial Recurrent Neural Network for Intra Prediction
Yueyu Hu, Wenhan Yang, Mading Li +1
Intra prediction is an important component of modern video codecs, which is able to efficiently squeeze out the spatial redundancy in video frames. With preceding pixels as the con…
Joint Enhancement and Denoising Method via Sequential Decomposition
Xutong Ren, Mading Li, Wen-Huang Cheng +1
Many low-light enhancement methods ignore intensive noise in original images. As a result, they often simultaneously enhance the noise as well. Furthermore, extra denoising procedu…