Jiewen Yang

Orcid: 0009-0004-1500-1556

According to our database1, Jiewen Yang authored at least 24 papers between 2021 and 2025.

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

Timeline

Legend:

Book 
In proceedings 
Article 
PhD thesis 
Dataset
Other 

Links

On csauthors.net:

Bibliography

2025
AI-Enabled Accurate Non-Invasive Assessment of Pulmonary Hypertension Progression via Multi-Modal Echocardiography.
CoRR, May, 2025

DeepSparse: A Foundation Model for Sparse-View CBCT Reconstruction.
CoRR, May, 2025

TKR-FSOD: Fetal Anatomical Structure Few-Shot Detection Utilizing Topological Knowledge Reasoning.
IEEE J. Biomed. Health Informatics, January, 2025

Test-Time Domain Generalization via Universe Learning: A Multi-Graph Matching Approach for Medical Image Segmentation.
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2025

Anatomical Knowledge Mining and Matching for Semi-supervised Medical Multi-structure Detection.
Proceedings of the AAAI-25, Sponsored by the Association for the Advancement of Artificial Intelligence, February 25, 2025

Leveraging Anatomical Consistency for Multi-Object Detection in Ultrasound Images via Source-free Unsupervised Domain Adaptation.
Proceedings of the AAAI-25, Sponsored by the Association for the Advancement of Artificial Intelligence, February 25, 2025

2024
MFISN: Modality Fuzzy Information Separation Network for Disease Classification.
IEEE Trans. Fuzzy Syst., October, 2024

HFSCCD: A Hybrid Neural Network for Fetal Standard Cardiac Cycle Detection in Ultrasound Videos.
IEEE J. Biomed. Health Informatics, May, 2024

3D human pose estimation with single image and inertial measurement unit (IMU) sequence.
Pattern Recognit., 2024

Video-based face outline recognition.
Pattern Recognit., 2024

C^2RV: Cross-Regional and Cross-View Learning for Sparse-View CBCT Reconstruction.
CoRR, 2024

Bidirectional Recurrence for Cardiac Motion Tracking with Gaussian Process Latent Coding.
Proceedings of the Advances in Neural Information Processing Systems 38: Annual Conference on Neural Information Processing Systems 2024, 2024

Unsupervised Domain Adaptation for Anatomical Structure Detection in Ultrasound Images.
Proceedings of the Forty-first International Conference on Machine Learning, 2024

CardiacNet: Learning to Reconstruct Abnormalities for Cardiac Disease Assessment from Echocardiogram Videos.
Proceedings of the Computer Vision - ECCV 2024, 2024

M<sup>3</sup>-UDA: A New Benchmark for Unsupervised Domain Adaptive Fetal Cardiac Structure Detection.
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2024

C<sup>2</sup>RV: Cross-Regional and Cross-View Learning for Sparse-View CBCT Reconstruction.
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2024

2023
DiffCMR: Fast Cardiac MRI Reconstruction with Diffusion Probabilistic Models.
Proceedings of the Statistical Atlases and Computational Models of the Heart. Regular and CMRxRecon Challenge Papers, 2023

A Video Face Recognition Leveraging Temporal Information Based on Vision Transformer.
Proceedings of the Pattern Recognition and Computer Vision - 6th Chinese Conference, 2023

GL-Fusion: Global-Local Fusion Network for Multi-view Echocardiogram Video Segmentation.
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2023, 2023

GraphEcho: Graph-Driven Unsupervised Domain Adaptation for Echocardiogram Video Segmentation.
Proceedings of the IEEE/CVF International Conference on Computer Vision, 2023

2022
Recurring the Transformer for Video Action Recognition.
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2022

Abandoning the Bayer-Filter to See in the Dark.
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2022

2021
Towards High-Quality Temporal Action Detection with Sparse Proposals.
CoRR, 2021

Semantic Recognition and Location of Cracks by Fusing Cracks Segmentation and Deep Learning.
Complex., 2021


  Loading...