Weibing Zhao

Orcid: 0000-0002-2819-990X

According to our database1, Weibing Zhao authored at least 17 papers between 2019 and 2024.

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

Timeline

Legend:

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Links

On csauthors.net:

Bibliography

2024
Block-Diagonal Guided DBSCAN Clustering.
IEEE Trans. Knowl. Data Eng., November, 2024

Spatio-Temporal Contextual Learning for Single Object Tracking on Point Clouds.
IEEE Trans. Neural Networks Learn. Syst., July, 2024

Segmentation and Completion of Human Motion Sequence via Temporal Learning of Subspace Variety Model.
IEEE Trans. Image Process., 2024

Block-Diagonal Guided DBSCAN Clustering.
CoRR, 2024

A Delta-Sigma-Based Computing-In-Memory Macro Targeting Edge Computation.
Proceedings of the IEEE International Symposium on Circuits and Systems, 2024

Unsupervised Action Segmentation via Fast Learning of Semantically Consistent Actoms.
Proceedings of the Thirty-Eighth AAAI Conference on Artificial Intelligence, 2024

2023
A 10b 700 MS/s Single-Channel 1b/Cycle SAR ADC Using a Monotonic-Specific Feedback SAR Logic With Power-Delay-Optimized Unbalanced N/P-MOS Sizing.
IEEE Trans. Circuits Syst. I Regul. Pap., December, 2023

CPU: Codebook Lookup Transformer with Knowledge Distillation for Point Cloud Upsampling.
Proceedings of the 31st ACM International Conference on Multimedia, 2023

2022
A Robust Hybrid CT/DT 0-2 MASH DSM with Passive Noise-Shaping SAR ADC.
Proceedings of the IEEE International Symposium on Circuits and Systems, 2022

2021
Geometric Morphology Based Irrelevant Vessels Removal For Accurate Coronary Artery Segmentation.
Proceedings of the 18th IEEE International Symposium on Biomedical Imaging, 2021

PointLIE: Locally Invertible Embedding for Point Cloud Sampling and Recovery.
Proceedings of the Thirtieth International Joint Conference on Artificial Intelligence, 2021

Box-Aware Feature Enhancement for Single Object Tracking on Point Clouds.
Proceedings of the 2021 IEEE/CVF International Conference on Computer Vision, 2021

2020
Characterizing Label Errors: Confident Learning for Noisy-Labeled Image Segmentation.
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2020, 2020

An Efficient Hybrid Model for Kidney Tumor Segmentation in CT Images.
Proceedings of the 17th IEEE International Symposium on Biomedical Imaging, 2020

Progressive Abdominal Segmentation with Adaptively Hard Region Prediction and Feature Enhancement.
Proceedings of the 17th IEEE International Symposium on Biomedical Imaging, 2020

Towards Content-Independent Multi-Reference Super-Resolution: Adaptive Pattern Matching and Feature Aggregation.
Proceedings of the Computer Vision - ECCV 2020, 2020

2019
3D Enhanced Multi-scale Network for Thoracic Organs Segmentation.
Proceedings of the 2019 Challenge on Segmentation of THoracic Organs at Risk in CT Images, 2019


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