Yunfan Ye

Orcid: 0000-0001-5723-9627

According to our database1, Yunfan Ye authored at least 30 papers between 2015 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
StarBurst: Aiding Design Ideation Through AI-Generated Remote Associations.
Int. J. Hum. Comput. Interact., July, 2026

StyleGallery: Training-free and Semantic-aware Personalized Style Transfer from Arbitrary Image References.
CoRR, March, 2026

Non-Local Guided Neural Fields for 4D CT Reconstruction.
IEEE Trans. Circuits Syst. Video Technol., February, 2026

HOCA-Bench: Beyond Semantic Perception to Predictive World Modeling via Hegelian Ontological-Causal Anomalies.
CoRR, February, 2026

Video plot segmentation.
Expert Syst. Appl., 2026

PIDINet-MC: Real-Time Multi-Class Edge Detection with PiDiNet.
Comput. Mater. Continua, 2026

2025
RAG-Adapter: A Plug-and-Play RAG-enhanced Framework for Long Video Understanding.
CoRR, March, 2025

Integrating conceptual and visual representations with domain expertise for scalable visual plagiarism detection.
Expert Syst. Appl., 2025

DeblurTomo: Self-Supervised Computed Tomography Reconstruction from Blurry Images.
Comput. Mater. Continua, 2025

Where Watermark Meets Beauty: Expert-Guided Aesthetic Visible Watermarking for Digital Artworks.
Proceedings of the 33rd ACM International Conference on Multimedia, 2025

HumanSAM: Classifying Human-Centric Forgery Videos in Human Spatial, Appearance, and Motion Anomaly.
Proceedings of the IEEE/CVF International Conference on Computer Vision, 2025

ROICtrl: Boosting Instance Control for Visual Generation.
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2025

Spatiotemporal-Aware Neural Fields for Dynamic CT Reconstruction.
Proceedings of the Thirty-Ninth AAAI Conference on Artificial Intelligence, 2025

ALLVB: All-in-One Long Video Understanding Benchmark.
Proceedings of the Thirty-Ninth AAAI Conference on Artificial Intelligence, 2025

2024
STEdge: Self-Training Edge Detection With Multilayer Teaching and Regularization.
IEEE Trans. Neural Networks Learn. Syst., November, 2024

Learning accurate template matching with differentiable coarse-to-fine correspondence refinement.
Comput. Vis. Media, April, 2024

Fixing the Double Agent Vulnerability of Deep Watermarking: A Patch-Level Solution Against Artwork Plagiarism.
IEEE Trans. Circuits Syst. Video Technol., March, 2024

Learning Cross-hand Policies for High-DOF Reaching and Grasping.
CoRR, 2024

FedStyle: Style-Based Federated Learning Crowdsourcing Framework for Art Commissions.
Proceedings of the IEEE International Conference on Multimedia and Expo, 2024

Large Scale Self-Supervised Pretraining for Active Speaker Detection.
Proceedings of the IEEE International Conference on Acoustics, 2024

Learning Cross-Hand Policies of High-DOF Reaching and Grasping.
Proceedings of the Computer Vision - ECCV 2024, 2024

DiffusionEdge: Diffusion Probabilistic Model for Crisp Edge Detection.
Proceedings of the Thirty-Eighth AAAI Conference on Artificial Intelligence, 2024

2023
Image captioning for cultural artworks: a case study on ceramics.
Multim. Syst., December, 2023

Delving Into Crispness: Guided Label Refinement for Crisp Edge Detection.
IEEE Trans. Image Process., 2023

Artificial Intelligence-Based Image Reconstruction for Computed Tomography: A Survey.
Intell. Autom. Soft Comput., 2023

NEF: Neural Edge Fields for 3D Parametric Curve Reconstruction from Multi-View Images.
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2023

2022
STEdge: Self-training Edge Detection with Multi-layer Teaching and Regularization.
CoRR, 2022

2020
EdgeFed: Optimized Federated Learning Based on Edge Computing.
IEEE Access, 2020

2016
Analysis of Energy-Efficiency in Ultra-Dense Networks: Determining FAP-to-UE Ratio via Stochastic Geometry.
KSII Trans. Internet Inf. Syst., 2016

2015
Dynamic Min-Cut Clustering for Energy Savings in Ultra-Dense Networks.
Proceedings of the IEEE 82nd Vehicular Technology Conference, 2015


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