11 citations · 16 across the 6 of their papers we have counts for
6 papers
Improved CNN Prediction Based Reversible Data Hiding
Yingqiang Qiu, Wanli Peng, Xiaodan Lin +2
This letter proposes an improved CNN predictor (ICNNP) for reversible data hiding (RDH) in images, which consists of a feature extraction module, a pixel prediction module, and a c…
MHR-Net: Multiple-Hypothesis Reconstruction of Non-Rigid Shapes from 2D Views
Haitian Zeng, Xin Yu, Jiaxu Miao +1
We propose MHR-Net, a novel method for recovering Non-Rigid Shapes from Motion (NRSfM). MHR-Net aims to find a set of reasonable reconstructions for a 2D view, and it also selects…
PR-RRN: Pairwise-Regularized Residual-Recursive Networks for Non-rigid Structure-from-Motion
Haitian Zeng, Yuchao Dai, Xin Yu +2
We propose PR-RRN, a novel neural-network based method for Non-rigid Structure-from-Motion (NRSfM). PR-RRN consists of Residual-Recursive Networks (RRN) and two extra regularizatio…
Deep Coarse-to-fine Dense Light Field Reconstruction with Flexible Sampling and Geometry-aware Fusion
Jing Jin, Junhui Hou, Jie Chen +3
A densely-sampled light field (LF) is highly desirable in various applications, such as 3-D reconstruction, post-capture refocusing and virtual reality. However, it is costly to ac…
Vehicle Re-identification Using Quadruple Directional Deep Learning Features
Jianqing Zhu, Huanqiang Zeng, Jingchang Huang +4
In order to resist the adverse effect of viewpoint variations for improving vehicle re-identification performance, we design quadruple directional deep learning networks to extract…
Deep Hybrid Similarity Learning for Person Re-identification
Jianqing Zhu, Huanqiang Zeng, Shengcai Liao +3
Person Re-IDentification (Re-ID) aims to match person images captured from two non-overlapping cameras. In this paper, a deep hybrid similarity learning (DHSL) method for person Re…