Wangpeng An

Orcid: 0000-0002-1869-1837

According to our database1, Wangpeng An authored at least 15 papers between 2016 and 2023.

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Bibliography

2023
MovePose: A High-performance Human Pose Estimation Algorithm on Mobile and Edge Devices.
CoRR, 2023

OmniDataComposer: A Unified Data Structure for Multimodal Data Fusion and Infinite Data Generation.
CoRR, 2023

Joint Coordinate Regression and Association For Multi-Person Pose Estimation, A Pure Neural Network Approach.
CoRR, 2023

Parameter-Free Channel Attention for Image Classification and Super-Resolution.
CoRR, 2023

Joint Coordinate Regression and Association For Multi-Person Pose Estimation, A Pure Neural Network Approach.
Proceedings of the ACM Multimedia Asia 2023, 2023

2020
PID Controller-Based Stochastic Optimization Acceleration for Deep Neural Networks.
IEEE Trans. Neural Networks Learn. Syst., 2020

A sematic and prior-knowledge-aided monocular localization method for construction-related entities.
Comput. Aided Civ. Infrastructure Eng., 2020

Faster Healthcare Time Series Classification for Boosting Mortality Early Warning System.
Proceedings of the IEEE/RSJ International Conference on Intelligent Robots and Systems, 2020

2019
Sparse, collaborative, or nonnegative representation: Which helps pattern classification?
Pattern Recognit., 2019

Semi-Supervised Self-Growing Generative Adversarial Networks for Image Recognition.
CoRR, 2019

2018
A deep learning-based method for detecting non-certified work on construction sites.
Adv. Eng. Informatics, 2018

A PID Controller Approach for Stochastic Optimization of Deep Networks.
Proceedings of the 2018 IEEE Conference on Computer Vision and Pattern Recognition, 2018

2017
Exponential decay sine wave learning rate for fast deep neural network training.
Proceedings of the 2017 IEEE Visual Communications and Image Processing, 2017

Student-t Process Regression with Student-t Likelihood.
Proceedings of the Twenty-Sixth International Joint Conference on Artificial Intelligence, 2017

2016
Fast and Accurate Image Denoising via a Deep Convolutional-Pairs Network.
Proceedings of the Advances in Multimedia Information Processing - PCM 2016, 2016


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