44 citations · 210 across the 14 of their papers we have counts for
14 papers
Low Rank Properties for Estimating Microphones Start Time and Sources Emission Time
Faxian Cao, Yongqiang Cheng, Adil Mehmood Khan +2
Uncertainty in timing information pertaining to the start time of microphone recordings and sources' emission time pose significant challenges in various applications, such as join…
Justices for Information Bottleneck Theory
Faxian Cao, Yongqiang Cheng, Adil Mehmood Khan +1
This study comes as a timely response to mounting criticism of the information bottleneck (IB) theory, injecting fresh perspectives to rectify misconceptions and reaffirm its valid…
Are Microphone Signals Alone Sufficient for Self-Positioning?
Faxian Cao, Yongqiang Cheng, Adil Mehmood Khan +1
In an era where asynchronous environments pose challenges to traditional self-positioning methods, we propose a new transformation to the existing paradigm. Traditionally, time of…
DnSwin: Toward Real-World Denoising via Continuous Wavelet Sliding-Transformer
Hao Li, Zhijing Yang, Xiaobin Hong +4
Real-world image denoising is a practical image restoration problem that aims to obtain clean images from in-the-wild noisy inputs. Recently, the Vision Transformer (ViT) has exhib…
Heterogeneous Semantic Transfer for Multi-label Recognition with Partial Labels
Tianshui Chen, Tao Pu, Lingbo Liu +3
Multi-label image recognition with partial labels (MLR-PL), in which some labels are known while others are unknown for each image, may greatly reduce the cost of annotation and th…
AIM 2020 Challenge on Real Image Super-Resolution: Methods and Results
Pengxu Wei, Hannan Lu, Radu Timofte +68
This paper introduces the real image Super-Resolution (SR) challenge that was part of the Advances in Image Manipulation (AIM) workshop, held in conjunction with ECCV 2020. This ch…
Unsupervised Multi-view Clustering by Squeezing Hybrid Knowledge from Cross View and Each View
Junpeng Tan, Yukai Shi, Zhijing Yang +2
Multi-view clustering methods have been a focus in recent years because of their superiority in clustering performance. However, typical traditional multi-view clustering algorithm…
NTIRE 2020 Challenge on Perceptual Extreme Super-Resolution: Methods and Results
Kai Zhang, Shuhang Gu, Radu Timofte +60
This paper reviews the NTIRE 2020 challenge on perceptual extreme super-resolution with focus on proposed solutions and results. The challenge task was to super-resolve an input im…
DDet: Dual-path Dynamic Enhancement Network for Real-World Image Super-Resolution
Yukai Shi, Haoyu Zhong, Zhijing Yang +2
Different from traditional image super-resolution task, real image super-resolution(Real-SR) focus on the relationship between real-world high-resolution(HR) and low-resolution(LR)…
Conditioning Optimization of Extreme Learning Machine by Multitask Beetle Antennae Swarm Algorithm
Xixian Zhang, Zhijing Yang, Faxian Cao +3
Extreme learning machine (ELM) as a simple and rapid neural network has been shown its good performance in various areas. Different from the general single hidden layer feedforward…
Sparse Representation Based Augmented Multinomial Logistic Extreme Learning Machine with Weighted Composite Features for Spectral Spatial Hyperspectral Image Classification
Faxian Cao, Zhijing Yang, Jinchang Ren +1
Although extreme learning machine (ELM) has been successfully applied to a number of pattern recognition problems, it fails to pro-vide sufficient good results in hyperspectral ima…
Linear vs Nonlinear Extreme Learning Machine for Spectral-Spatial Classification of Hyperspectral Image
Faxian Cao, Zhijing Yang, Jinchang Ren +2
As a new machine learning approach, extreme learning machine (ELM) has received wide attentions due to its good performances. However, when directly applied to the hyperspectral im…
Does Normalization Methods Play a Role for Hyperspectral Image Classification?
Faxian Cao, Zhijing Yang, Jinchang Ren +2
For Hyperspectral image (HSI) datasets, each class have their salient feature and classifiers classify HSI datasets according to the class's saliency features, however, there will…
Extreme Sparse Multinomial Logistic Regression: A Fast and Robust Framework for Hyperspectral Image Classification
Faxian Cao, Zhijing Yang, Jinchang Ren +1
Although the sparse multinomial logistic regression (SMLR) has provided a useful tool for sparse classification, it suffers from inefficacy in dealing with high dimensional feature…