activity
20172022
most citedReview on Optical Image Hiding and Watermarking Techniques

166 citations · 250 across the 13 of their papers we have counts for

collaborators

13 papers

cs.CV2022

A Class-wise Non-salient Region Generalized Framework for Video Semantic Segmentation

Yuhang Zhang, Shishun Tian, Muxin Liao +3

Video semantic segmentation (VSS) is beneficial for dealing with dynamic scenes due to the continuous property of the real-world environment. On the one hand, some methods alleviat…

cs.CV2022

Self-Calibrated Efficient Transformer for Lightweight Super-Resolution

Wenbin Zou, Tian Ye, Weixin Zheng +3

Recently, deep learning has been successfully applied to the single-image super-resolution (SISR) with remarkable performance. However, most existing methods focus on building a mo…

eess.IV2021★ 8 cited

SDWNet: A Straight Dilated Network with Wavelet Transformation for Image Deblurring

Wenbin Zou, Mingchao Jiang, Yunchen Zhang +3

Image deblurring is a classical computer vision problem that aims to recover a sharp image from a blurred image. To solve this problem, existing methods apply the Encode-Decode arc…

cs.CV2021★ 1 cited

DPR-CAE: Capsule Autoencoder with Dynamic Part Representation for Image Parsing

Canqun Xiang, Zhennan Wang, Wenbin Zou +1

Parsing an image into a hierarchy of objects, parts, and relations is important and also challenging in many computer vision tasks. This paper proposes a simple and effective capsu…

cs.CV2020

Temporal Pyramid Network for Pedestrian Trajectory Prediction with Multi-Supervision

Rongqin Liang, Yuanman Li, Xia Li +3

Predicting human motion behavior in a crowd is important for many applications, ranging from the natural navigation of autonomous vehicles to intelligent security systems of video…

cs.LG2020★ 7 cited

MMA Regularization: Decorrelating Weights of Neural Networks by Maximizing the Minimal Angles

Zhennan Wang, Canqun Xiang, Wenbin Zou +1

The strong correlation between neurons or filters can significantly weaken the generalization ability of neural networks. Inspired by the well-known Tammes problem, we propose a no…

cs.CV2019★ 1 cited

SAIS: Single-stage Anchor-free Instance Segmentation

Canqun Xiang, Shishun Tian, Wenbin Zou +1

In this paper, we propose a simple yet efficientinstance segmentation approach based on the single-stage anchor-free detector, termed SAIS. In our approach, the instancesegmentatio…

eess.IV2019★ 2 cited

Quality Assessment of DIBR-synthesized views: An Overview

Shishun Tian, Lu Zhang, Wenbin Zou +4

The Depth-Image-Based-Rendering (DIBR) is one of the main fundamental technique to generate new views in 3D video applications, such as Multi-View Videos (MVV), Free-Viewpoint Vide…

cs.CV2019

PR Product: A Substitute for Inner Product in Neural Networks

Zhennan Wang, Wenbin Zou, Chen Xu

In this paper, we analyze the inner product of weight vector w and data vector x in neural networks from the perspective of vector orthogonal decomposition and prove that the direc…

eess.IV2018★ 3 cited

Compression of phase-only holograms with JPEG standard and deep learning

Shuming Jiao, Zhi Jin, Chenliang Chang +3

It is a critical issue to reduce the enormous amount of data in the processing, storage and transmission of a hologram in digital format. In photograph compression, the JPEG standa…

cs.CV2018★ 166 cited

Review on Optical Image Hiding and Watermarking Techniques

Shuming Jiao, Changyuan Zhou, Yishi Shi +2

Information security is a critical issue in modern society and image watermarking can effectively prevent unauthorized information access. Optical image watermarking techniques gen…

cs.CV2018★ 59 cited

An End-to-End Deep Learning Histochemical Scoring System for Breast Cancer Tissue Microarray

Jingxin Liu, Bolei Xu, Chi Zheng +7

One of the methods for stratifying different molecular classes of breast cancer is the Nottingham Prognostic Index Plus (NPI+) which uses breast cancer relevant biomarkers to stain…

cs.CV2017★ 3 cited

Kernalised Multi-resolution Convnet for Visual Tracking

Di Wu, Wenbin Zou, Xia Li +1

Visual tracking is intrinsically a temporal problem. Discriminative Correlation Filters (DCF) have demonstrated excellent performance for high-speed generic visual object tracking.…