Hongsheng Li

Orcid: 0000-0002-9929-4023

Affiliations:
  • Xidian University, School of Computer Science and Technology, Xi'an, China


According to our database1, Hongsheng Li authored at least 13 papers between 2020 and 2024.

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

Timeline

Legend:

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PhD thesis 
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Links

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Bibliography

2024
Scene Graph Generation: A comprehensive survey.
Neurocomputing, January, 2024

DailyDVS-200: A Comprehensive Benchmark Dataset for Event-Based Action Recognition.
CoRR, 2024

The two-way knowledge interaction interface between humans and neural networks.
CoRR, 2024

Flowmind2Digital: The First Comprehensive Flowmind Recognition and Conversion Approach.
CoRR, 2024

2023
Exploring Spatio-Temporal Graph Convolution for Video-Based Human-Object Interaction Recognition.
IEEE Trans. Circuits Syst. Video Technol., October, 2023

UE4-NeRF: Neural Radiance Field for Real-Time Rendering of Large-Scale Scene.
Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023

2022
Spatial Parsing and Dynamic Temporal Pooling networks for Human-Object Interaction detection.
Proceedings of the International Joint Conference on Neural Networks, 2022

2021
Spatio-Temporal Interaction Graph Parsing Networks for Human-Object Interaction Recognition.
Proceedings of the MM '21: ACM Multimedia Conference, Virtual Event, China, October 20, 2021

2020
Topology-learnable graph convolution for skeleton-based action recognition.
Pattern Recognit. Lett., 2020

Color vision deficiency datasets & recoloring evaluation using GANs.
Multim. Tools Appl., 2020

Structure-Feature based Graph Self-adaptive Pooling.
Proceedings of the WWW '20: The Web Conference 2020, Taipei, Taiwan, April 20-24, 2020, 2020

Graph-Temporal LSTM Networks for Skeleton-Based Action Recognition.
Proceedings of the Pattern Recognition and Computer Vision - Third Chinese Conference, 2020

Nonlinear Temporal Correlation Based Network for Action Recognition.
Proceedings of the Pattern Recognition. ICPR International Workshops and Challenges, 2020


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