1 code implementation • 10 Jan 2024 • Yucheng Han, Na Zhao, Weiling Chen, Keng Teck Ma, Hanwang Zhang
Our DPKE enriches the knowledge of limited training data, particularly unlabeled data, from two perspectives: data-perspective and feature-perspective.
no code implementations • 7 Mar 2023 • Hongan Wei, Jiaqi Liu, Bo Chen, Liqun Lin, Weiling Chen, Tiesong Zhao
Second, we extend our 2D-JND model to SJND by jointly exploiting latitude projection and field of view during 360$^\circ$ display.
no code implementations • 6 Feb 2023 • Yanling Qiu, Qianxue Feng, Boqin Cai, Hongan Wei, Weiling Chen
To assist underwater object detection for better performance, image enhancement technology is often used as a pre-processing step.
no code implementations • 3 Jan 2023 • Liqun Lin, Yang Zheng, Weiling Chen, Chengdong Lan, Tiesong Zhao
In this paper, we investigate the influence of four spatial PEAs (i. e. blurring, blocking, bleeding, and ringing) and two temporal PEAs (i. e. flickering and floating) on video quality.
1 code implementation • 10 Oct 2022 • Junhong Lin, Nanfeng Jiang, Zhentao Zhang, Weiling Chen, Tiesong Zhao
Secondly, we design a Mask Query Transformer (MQFormer) to remove snow with the coarse mask, where we use two parallel encoders and a hybrid decoder to learn extensive snow features under lightweight requirements.
Ranked #1 on Snow Removal on SRRS
no code implementations • 19 May 2022 • Yannan Zheng, Weiling Chen, Rongfu Lin, Tiesong Zhao
In addition, we have also established a large-scale UIE database with subjective scores, namely Underwater Image Enhancement Database (UIED), which is utilized as a benchmark to compare all objective metrics.
no code implementations • 7 May 2022 • Weiling Chen, Rongfu Lin, Honggang Liao, Tiesong Zhao, Ke Gu, Patrick Le Callet
Based on this task, we build an Underwater Image Utility Database (UIUD) and a learning-based Underwater Image Utility Measure (UIUM).
no code implementations • 7 May 2022 • Liqun Lin, Zheng Wang, Jiachen He, Weiling Chen, Yiwen Xu, Tiesong Zhao
In this work, a semi-automatic labeling method is adopted to build a large-scale compressed video quality database, which allows us to label a large number of compressed videos with manageable human workload.
no code implementations • 7 May 2022 • Keke Zhang, Tiesong Zhao, Weiling Chen, Yuzhen Niu, Jinsong Hu
By combining the quality scores and their weights, we propose a unified SPQE metric for SR-IQA.
no code implementations • 13 Jan 2022 • Weiling Chen, Sheng Lun Benjamin Chua, Stefan Winkler, See-Kiong Ng
To tackle the issue, we have organized the Trusted Media Challenge (TMC) to explore how Artificial Intelligence (AI) technologies could be leveraged to combat fake media.
no code implementations • 16 Dec 2020 • Tiesong Zhao, YuTing Lin, Yiwen Xu, Weiling Chen, Zhou Wang
Image Super-Resolution (SR) techniques improve visual quality by enhancing the spatial resolution of images.