42 citations · 75 across the 11 of their papers we have counts for
11 papers
Exploring the Coordination of Frequency and Attention in Masked Image Modeling
Jie Gui, Tuo Chen, Minjing Dong +4
Recently, masked image modeling (MIM), which learns visual representations by reconstructing the masked patches of an image, has dominated self-supervised learning in computer visi…
A Novel Underwater Image Enhancement and Improved Underwater Biological Detection Pipeline
Zheng Liu, Yaoming Zhuang, Pengrun Jia +2
For aquaculture resource evaluation and ecological environment monitoring, automatic detection and identification of marine organisms is critical. However, due to the low quality o…
Locality Constrained Analysis Dictionary Learning via K-SVD Algorithm
Kun Jiang, Zhaoli Liu, Zheng Liu +1
Recent years, analysis dictionary learning (ADL) and its applications for classification have been well developed, due to its flexible projective ability and low classification com…
Robust W-GAN-Based Estimation Under Wasserstein Contamination
Zheng Liu, Po-Ling Loh
Robust estimation is an important problem in statistics which aims at providing a reasonable estimator when the data-generating distribution lies within an appropriately defined ba…
Shuffle and Learn: Minimizing Mutual Information for Unsupervised Hashing
Fangrui Liu, Zheng Liu
Unsupervised binary representation allows fast data retrieval without any annotations, enabling practical application like fast person re-identification and multimedia retrieval. I…
All at Once: Temporally Adaptive Multi-Frame Interpolation with Advanced Motion Modeling
Zhixiang Chi, Rasoul Mohammadi Nasiri, Zheng Liu +3
Recent advances in high refresh rate displays as well as the increased interest in high rate of slow motion and frame up-conversion fuel the demand for efficient and cost-effective…
OD-GCN: Object Detection Boosted by Knowledge GCN
Zheng Liu, Zidong Jiang, Wei Feng +1
Classical CNN based object detection methods only extract the objects' image features, but do not consider the high-level relationship among objects in context. In this article, th…
Robustifying deep networks for image segmentation
Zheng Liu, Jinnian Zhang, Varun Jog +2
Purpose: The purpose of this study is to investigate the robustness of a commonly-used convolutional neural network for image segmentation with respect to visually-subtle adversari…
Generic Model-Agnostic Convolutional Neural Network for Single Image Dehazing
Zheng Liu, Botao Xiao, Muhammad Alrabeiah +2
Haze and smog are among the most common environmental factors impacting image quality and, therefore, image analysis. This paper proposes an end-to-end generative method for image…
Efficient Traffic-Sign Recognition with Scale-aware CNN
Yuchen Yang, Shuo Liu, Wei Ma +2
The paper presents a Traffic Sign Recognition (TSR) system, which can fast and accurately recognize traffic signs of different sizes in images. The system consists of two well-desi…
Multi-Channel CNN-based Object Detection for Enhanced Situation Awareness
Shuo Liu, Zheng Liu
Object Detection is critical for automatic military operations. However, the performance of current object detection algorithms is deficient in terms of the requirements in militar…