no code implementations • 27 Nov 2023 • Lei Wang, Qingbo Wu, Desen Yuan, King Ngi Ngan, Hongliang Li, Fanman Meng, Linfeng Xu
Learning based image quality assessment (IQA) models have obtained impressive performance with the help of reliable subjective quality labels, where mean opinion score (MOS) is the most popular choice.
no code implementations • 10 Oct 2023 • Zhaofeng Shi, Qingbo Wu, Fanman Meng, Linfeng Xu, Hongliang Li
Audio-Visual Segmentation (AVS) aims to extract the sounding object from a video frame, which is represented by a pixel-wise segmentation mask.
no code implementations • 24 Aug 2023 • Zhifei Li, Yan Liang, Linfeng Xu
Under the consensus scheme, a distributed WLS filter over a realistic network with ``naive'' node is developed by proper weighting of the priors and measurements.
1 code implementation • 26 Jan 2023 • Linfeng Xu, Qingbo Wu, Lili Pan, Fanman Meng, Hongliang Li, Chiyuan He, Hanxin Wang, Shaoxu Cheng, Yu Dai
However, the deficiency of related dataset hinders the development of multi-modal deep learning for egocentric activity recognition.
1 code implementation • 15 Sep 2022 • Rui Ma, Qingbo Wu, King Ngi Ngan, Hongliang Li, Fanman Meng, Linfeng Xu
More specifically, we develop a dynamic parameter isolation strategy to sequentially update the task-specific parameter subsets, which are non-overlapped with each other.
1 code implementation • 3 Jan 2022 • Zihuan Qiu, Zhichuan Wang, Miaomiao Zhang, Ziyong Xu, Jie Fan, Linfeng Xu
However, due to the different sizes of polyps and the unclear boundary between polyps and their surrounding mucosa, it is challenging to segment polyps accurately.
Ranked #20 on Medical Image Segmentation on Kvasir-SEG
no code implementations • 3 Nov 2021 • Zhifei Li, Yan Liang, Linfeng Xu, Shuli Ma
This work aims to design a distributed extended object tracking (EOT) system over a realistic network, where both the extent and kinematics are required to retain consensus within the entire network.
1 code implementation • 5 Apr 2021 • Haoran Wei, Qingbo Wu, Hui Li, King Ngi Ngan, Hongliang Li, Fanman Meng, Linfeng Xu
In this paper, we propose a Non-Homogeneous Haze Removal Network (NHRN) via artificial scene prior and bidimensional graph reasoning.
no code implementations • IEEE TRANSACTIONS ON INSTRUMENTATION AND MEASUREMENT, VOL. 70, 2021 2020 • Hongtao Wang, Linfeng Xu, Anastasios Bezerianos, Chuangquan Chen, Zhiguo Zhang
Finally, the critical brain regions and connections for driving fatigue detection were investigated through the dynamically learned adjacency matrix. Index Terms— Attention-based multiscale convolutional neural network (CNN), driving fatigue, dynamical graph convolution network (GCN), electroencephalography (EEG), spatiotemporalstructure.
no code implementations • 26 Sep 2019 • Qingbo Wu, Lei Wang, King N. Ngan, Hongliang Li, Fanman Meng, Linfeng Xu
Then, a subjective study is conducted on our DQA database, which collects the subject-rated scores of all de-rained images.