Le Yang

Orcid: 0000-0001-5922-877X

Affiliations:
  • Northwestern Polytechnical University, School of Automation, Xi'an, China


According to our database1, Le Yang authored at least 15 papers between 2017 and 2024.

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

Timeline

Legend:

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Bibliography

2024
Temporal Action Localization in the Deep Learning Era: A Survey.
IEEE Trans. Pattern Anal. Mach. Intell., April, 2024

2023
Equivalent Classification Mapping for Weakly Supervised Temporal Action Localization.
IEEE Trans. Pattern Anal. Mach. Intell., March, 2023

Cross-Spatial Pixel Integration and Cross-Stage Feature Fusion-Based Transformer Network for Remote Sensing Image Super-Resolution.
IEEE Trans. Geosci. Remote. Sens., 2023

Revisiting Long-tailed Image Classification: Survey and Benchmarks with New Evaluation Metrics.
CoRR, 2023

2022
Background-Click Supervision for Temporal Action Localization.
IEEE Trans. Pattern Anal. Mach. Intell., 2022

Structured Attention Composition for Temporal Action Localization.
CoRR, 2022

Colar: Effective and Efficient Online Action Detection by Consulting Exemplars.
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2022

2021
POLO: Learning Explicit Cross-Modality Fusion for Temporal Action Localization.
IEEE Signal Process. Lett., 2021

SODA: Weakly Supervised Temporal Action Localization Based on Astute Background Response and Self-Distillation Learning.
Int. J. Comput. Vis., 2021

2020
Revisiting Anchor Mechanisms for Temporal Action Localization.
IEEE Trans. Image Process., 2020

SPFTN: A Joint Learning Framework for Localizing and Segmenting Objects in Weakly Labeled Videos.
IEEE Trans. Pattern Anal. Mach. Intell., 2020

2019
Learning Sparse 2D Temporal Adjacent Networks for Temporal Action Localization.
CoRR, 2019

2018
Segmentation in Weakly Labeled Videos via a Semantic Ranking and Optical Warping Network.
IEEE Trans. Image Process., 2018

Reinforcement Cutting-Agent Learning for Video Object Segmentation.
Proceedings of the 2018 IEEE Conference on Computer Vision and Pattern Recognition, 2018

2017
SPFTN: A Self-Paced Fine-Tuning Network for Segmenting Objects in Weakly Labelled Videos.
Proceedings of the 2017 IEEE Conference on Computer Vision and Pattern Recognition, 2017


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