Yachuan Li

Orcid: 0000-0002-4516-5576

According to our database1, Yachuan Li authored at least 15 papers between 2023 and 2026.

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

Timeline

Legend:

Book  In proceedings  Article  PhD thesis  Dataset  Other 

Links

On csauthors.net:

Bibliography

2026
A new baseline for edge detection: Make encoder-decoder great again.
Signal Process. Image Commun., 2026

2025
PiDiNeXt: Lightweight parallel pixel difference networks for edge detection.
Multim. Tools Appl., August, 2025

Compact twice fusion network for edge detection.
Multim. Syst., February, 2025

A Doubly Decoupled Network for edge detection.
Neurocomputing, 2025

EDMB: Edge Detector with Mamba.
Proceedings of the IEEE/CVF Winter Conference on Applications of Computer Vision, 2025

AVIR: Adaptive Visual In-Document Retrieval for Efficient Multi-Page Document Question Answering.
Proceedings of the 7th ACM International Conference on Multimedia in Asia, 2025

2024
ODDF-Net: Multi-object segmentation in 3D retinal OCTA using optical density and disease features.
Knowl. Based Syst., 2024

Differential Graph Convolution Network for point cloud understanding.
Neurocomputing, 2024

SF-MCTS: Score Feedback Monte Carlo Tree Search for Digital Curling in Continuous State Space.
Proceedings of the Advanced Intelligent Computing Technology and Applications, 2024

2023
Policy decision of curling in real competition scenes.
Complex Intell. Syst., 2023

KDED: A Knowledge Distillation Based Edge Detector.
Proceedings of the PRICAI 2023: Trends in Artificial Intelligence, 2023

PiDiNeXt: An Efficient Edge Detector Based on Parallel Pixel Difference Networks.
Proceedings of the Pattern Recognition and Computer Vision - 6th Chinese Conference, 2023

Joint Point Clouds Semantic and Instance Segmentation by Local Aggregation and Clustering.
Proceedings of the 15th International Conference on Digital Image Processing, 2023

Tiny and Efficient Model for the Edge Detection Generalization.
Proceedings of the IEEE/CVF International Conference on Computer Vision, 2023

SS-Net: 3D Spatial-Spectral Network for Cerebrovascular Segmentation in TOF-MRA.
Proceedings of the Artificial Neural Networks and Machine Learning, 2023


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