activity
20142024
most citedMNet: Multilevel, Mixed and Multistage Attention Network for Salient Object Detection

11 citations · 23 across the 6 of their papers we have counts for

collaborators

6 papers

cs.LG2024

Transductive Off-policy Proximal Policy Optimization

Yaozhong Gan, Renye Yan, Xiaoyang Tan +2

Proximal Policy Optimization (PPO) is a popular model-free reinforcement learning algorithm, esteemed for its simplicity and efficacy. However, due to its inherent on-policy nature…

cs.CV202311 cited

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…

cs.CV20235 cited

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…

cs.LG2023

Contextual Conservative Q-Learning for Offline Reinforcement Learning

Ke Jiang, Jiayu Yao, Xiaoyang Tan

Offline reinforcement learning learns an effective policy on offline datasets without online interaction, and it attracts persistent research attention due to its potential of prac…

cs.CV20164 cited

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.…

cs.CV20143 cited

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…