266 citations · 476 across the 8 of their papers we have counts for
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Burst Image Quality Assessment: A New Benchmark and Unified Framework for Multiple Downstream Tasks
Xiaoye Liang, Lai Jiang, Minglang Qiao +6
In recent years, the development of burst imaging technology has improved the capture and processing capabilities of visual data, enabling a wide range of applications. However, th…
Rethinking Diffusion Model-Based Video Super-Resolution: Leveraging Dense Guidance from Aligned Features
Jingyi Xu, Meisong Zheng, Ying Chen +3
Diffusion model (DM) based Video Super-Resolution (VSR) approaches achieve impressive perceptual quality. However, they suffer from error accumulation, spatial artifacts, and a tra…
NTIRE 2022 Challenge on Super-Resolution and Quality Enhancement of Compressed Video: Dataset, Methods and Results
Ren Yang, Radu Timofte, Meisong Zheng +75
This paper reviews the NTIRE 2022 Challenge on Super-Resolution and Quality Enhancement of Compressed Video. In this challenge, we proposed the LDV 2.0 dataset, which includes the…
Progressive Training of A Two-Stage Framework for Video Restoration
Meisong Zheng, Qunliang Xing, Minglang Qiao +4
As a widely studied task, video restoration aims to enhance the quality of the videos with multiple potential degradations, such as noises, blurs and compression artifacts. Among v…
Joint Learning of Visual-Audio Saliency Prediction and Sound Source Localization on Multi-face Videos
Minglang Qiao, Yufan Liu, Mai Xu +4
Visual and audio events simultaneously occur and both attract attention. However, most existing saliency prediction works ignore the influence of audio and only consider vision mod…
Learning to Predict Salient Faces: A Novel Visual-Audio Saliency Model
Yufan Liu, Minglang Qiao, Mai Xu +3
Recently, video streams have occupied a large proportion of Internet traffic, most of which contain human faces. Hence, it is necessary to predict saliency on multiple-face videos,…
Predicting Head Movement in Panoramic Video: A Deep Reinforcement Learning Approach
Yuhang Song, Mai Xu, Jianyi Wang +3
Panoramic video provides immersive and interactive experience by enabling humans to control the field of view (FoV) through head movement (HM). Thus, HM plays a key role in modelin…
Predicting Video Saliency with Object-to-Motion CNN and Two-layer Convolutional LSTM
Lai Jiang, Mai Xu, Zulin Wang
Over the past few years, deep neural networks (DNNs) have exhibited great success in predicting the saliency of images. However, there are few works that apply DNNs to predict the…