Yongcheng Liu

According to our database1, Yongcheng Liu authored at least 16 papers between 2017 and 2023.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

Legend:

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PhD thesis 
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Links

On csauthors.net:

Bibliography

2023
TranSkeleton: Hierarchical Spatial-Temporal Transformer for Skeleton-Based Action Recognition.
IEEE Trans. Circuits Syst. Video Technol., August, 2023

Deep Learning Aided Two-Stage Multi-Finger Beam Training in Millimeter-Wave Communication.
IEEE Wirel. Commun. Lett., 2023

2022
The Effects of a Performance Enhancing Proxy on TCP Congestion Control over a Satellite Network.
Proceedings of the IEEE International Performance, 2022

Transtl: Spatial-Temporal Localization Transformer for Multi-Label Video Classification.
Proceedings of the IEEE International Conference on Acoustics, 2022

W-ART: Action Relation Transformer for Weakly-Supervised Temporal Action Localization.
Proceedings of the IEEE International Conference on Acoustics, 2022

2021
Differentiable Convolution Search for Point Cloud Processing.
Proceedings of the 2021 IEEE/CVF International Conference on Computer Vision, 2021

2020
3D PostureNet: A unified framework for skeleton-based posture recognition.
Pattern Recognit. Lett., 2020

Deep Space Probing for Point Cloud Analysis.
Proceedings of the 25th International Conference on Pattern Recognition, 2020

PointSpherical: Deep Shape Context for Point Cloud Learning in Spherical Coordinates.
Proceedings of the 25th International Conference on Pattern Recognition, 2020

Development and Application of Electric Peeling Tool for Distribution Work Operation Robot.
Proceedings of the ICITEE2020: The 3rd International Conference on Information Technologies and Electrical Engineering, 2020

Decoupled Representation Learning for Skeleton-Based Gesture Recognition.
Proceedings of the 2020 IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2020

2019
DensePoint: Learning Densely Contextual Representation for Efficient Point Cloud Processing.
Proceedings of the 2019 IEEE/CVF International Conference on Computer Vision, 2019

Relation-Shape Convolutional Neural Network for Point Cloud Analysis.
Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2019

2018
Semantic Labeling in Very High Resolution Images via a Self-Cascaded Convolutional Neural Network.
CoRR, 2018

Multi-Label Image Classification via Knowledge Distillation from Weakly-Supervised Detection.
Proceedings of the 2018 ACM Multimedia Conference on Multimedia Conference, 2018

2017
Context-aware cascade network for semantic labeling in VHR image.
Proceedings of the 2017 IEEE International Conference on Image Processing, 2017


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