Zhuowei Li

Orcid: 0000-0001-9400-9900

Affiliations:
  • Rutgers University, New Brunswick, NJ, USA
  • SenseTime Research, Beijing, China (former)
  • Columbia University, Department of Electrical Engineering, New York, NY, USA (former)


According to our database1, Zhuowei Li authored at least 13 papers between 2019 and 2024.

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

Timeline

Legend:

Book 
In proceedings 
Article 
PhD thesis 
Dataset
Other 

Links

Online presence:

On csauthors.net:

Bibliography

2024
Implicit In-context Learning.
CoRR, 2024

Steering Prototypes with Prompt-tuning for Rehearsal-free Continual Learning.
Proceedings of the IEEE/CVF Winter Conference on Applications of Computer Vision, 2024

2023
Training Like a Medical Resident: Universal Medical Image Segmentation via Context Prior Learning.
CoRR, 2023

Steering Prototype with Prompt-tuning for Rehearsal-free Continual Learning.
CoRR, 2023

DeFormer: Integrating Transformers with Deformable Models for 3D Shape Abstraction from a Single Image.
Proceedings of the IEEE/CVF International Conference on Computer Vision, 2023

2022
Contrastive and Selective Hidden Embeddings for Medical Image Segmentation.
IEEE Trans. Medical Imaging, 2022

Contrastive and Selective Hidden Embeddings for Medical Image Segmentation.
CoRR, 2022

Towards Self-Supervised and Weight-preserving Neural Architecture Search.
Proceedings of the Computer Vision - ECCV 2022 Workshops, 2022

2021
Few-Shot Learning by a Cascaded Framework With Shape-Constrained Pseudo Label Assessment for Whole Heart Segmentation.
IEEE Trans. Medical Imaging, 2021

Self-Ensembling Contrastive Learning for Semi-Supervised Medical Image Segmentation.
CoRR, 2021

A Deep Reinforced Tree-Traversal Agent for Coronary Artery Centerline Extraction.
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2021 - 24th International Conference, Strasbourg, France, September 27, 2021

2020
Segmentation to Label: Automatic Coronary Artery Labeling from Mask Parcellation.
Proceedings of the Machine Learning in Medical Imaging - 11th International Workshop, 2020

2019
One-Shot Learning for Function-Specific Region Segmentation in Mouse Brain.
Proceedings of the 16th IEEE International Symposium on Biomedical Imaging, 2019


  Loading...