3 citations · 5 across the 5 of their papers we have counts for
5 papers
Dual-Branch Residual Network for Cross-Domain Few-Shot Hyperspectral Image Classification with Refined Prototype
Anyong Qin, Chaoqi Yuan, Qiang Li +3
Convolutional neural networks (CNNs) are effective for hyperspectral image (HSI) classification, but their 3D convolutional structures introduce high computational costs and limite…
Towards Student Actions in Classroom Scenes: New Dataset and Baseline
Zhuolin Tan, Chenqiang Gao, Anyong Qin +4
Analyzing student actions is an important and challenging task in educational research. Existing efforts have been hampered by the lack of accessible datasets to capture the nuance…
Low-Rank Matrix Recovery from Noise via an MDL Framework-based Atomic Norm
Anyong Qin, Lina Xian, Yongliang Yang +2
The recovery of the underlying low-rank structure of clean data corrupted with sparse noise/outliers is attracting increasing interest. However, in many low-level vision problems,…
Learning a Deep Part-based Representation by Preserving Data Distribution
Anyong Qin, Zhaowei Shang, Zhuolin Tan +2
Unsupervised dimensionality reduction is one of the commonly used techniques in the field of high dimensional data recognition problems. The deep autoencoder network which constrai…
A Multiscale Image Denoising Algorithm Based On Dilated Residual Convolution Network
Chang Liu, Zhaowei Shang, Anyong Qin
Image denoising is a classical problem in low level computer vision. Model-based optimization methods and deep learning approaches have been the two main strategies for solving the…