31 citations · 106 across the 14 of their papers we have counts for
9 papers · 1 filter
MNet: Multilevel, Mixed and Multistage Attention Network for Salient Object Detection
Yao Yuan, Pan Gao, XiaoYang Tan
Most existing salient object detection methods mostly use U-Net or feature pyramid structure, which simply aggregates feature maps of different scales, ignoring the uniqueness and…
ProxyFormer: Proxy Alignment Assisted Point Cloud Completion with Missing Part Sensitive Transformer
Shanshan Li, Pan Gao, Xiaoyang Tan +1
Problems such as equipment defects or limited viewpoints will lead the captured point clouds to be incomplete. Therefore, recovering the complete point clouds from the partial ones…
Deep Robust Multilevel Semantic Cross-Modal Hashing
Ge Song, Jun Zhao, Xiaoyang Tan
Hashing based cross-modal retrieval has recently made significant progress. But straightforward embedding data from different modalities into a joint Hamming space will inevitably…
Pornographic Image Recognition via Weighted Multiple Instance Learning
Jin Xin, Wang Yuhui, Tan Xiaoyang
In the era of Internet, recognizing pornographic images is of great significance for protecting children's physical and mental health. However, this task is very challenging as the…
A Unified Gender-Aware Age Estimation
Qing Tian, Songcan Chen, Xiaoyang Tan
Human age estimation has attracted increasing researches due to its wide applicability in such as security monitoring and advertisement recommendation. Although a variety of method…
Face Alignment In-the-Wild: A Survey
Xin Jin, Xiaoyang Tan
Over the last two decades, face alignment or localizing fiducial facial points has received increasing attention owing to its comprehensive applications in automatic face analysis.…
Bayesian Neighbourhood Component Analysis
Dong Wang, Xiaoyang Tan
Learning a good distance metric in feature space potentially improves the performance of the KNN classifier and is useful in many real-world applications. Many metric learning algo…
Tri-Subject Kinship Verification: Understanding the Core of A Family
Xiaoqian Qin, Xiaoyang Tan, Songcan Chen
One major challenge in computer vision is to go beyond the modeling of individual objects and to investigate the bi- (one-versus-one) or tri- (one-versus-two) relationship among mu…
Unsupervised Feature Learning with C-SVDDNet
Dong Wang, Xiaoyang Tan
In this paper, we investigate the problem of learning feature representation from unlabeled data using a single-layer K-means network. A K-means network maps the input data into a…