Jie Liu

Jie Liu

Ph.D. Student

University of Amsterdam

VISLAB

About me

I am a third-year Ph.D. student in the VISLAB at the University of Amsterdam supervised by Efstratios Gavves and Jan-Jakob Sonke. I'm also from the POPAART LAB co-founded by University of Amsterdam, ELEKTA, and Netherlands Cancer Institute and focus on medical AI.

My current research focuses on: Medical segmentation, Few-shot learning, vision-language model, and diffusion model.

News

  • [Oct 2023] One paper was accepted in NeurIPS2023 Workshop on Diffusion Models.
  • [Sep 2023] One paper was accepted in 3DV2024.
  • [June 2023] One paper was accepted in ICCV2023 VCL workshop.
  • [Sep 2022] One paper was accepted to BMVC2022.
  • [June 2022] One paper was accepted to ACM MM 2022.
  • [March 2022] One paper was accepted to CVPR 2022.
  • [Sep 2021] I joined in VISLAB as a Phd candidate.

Publications

Dynamic Transformer for Few-shot Instance Segmentation
ACM MM, 2022
We propose Dynamic Transformer Network for few-shot instance segmentation
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Dynamic Prototype Convolution Network for Few-Shot Semantic Segmentation
CVPR, 2022
We propose a dynamic prototype convolutional network for few-shot segmentation.
None
Scale-Aware Graph Neural Network for Few-Shot Semantic Segmentation
CVPR, 2021
We propose a scale-aware graph neural network for few-shot segmentation.
None
Few-Shot Semantic Segmentation With Cyclic Memory Network
ICCV, 2021
We propose a cycle-memory network for few-shot segmentation.
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