I am a fourth-year ELLIS Ph.D. candidate at VISLAB, University of Amsterdam (UvA), the Netherlands. I am fortunate to be supervised by Prof. Efstratios Gavves and Prof. Jan-Jakob Sonke. I also work closely with Prof. Pan Zhou.

My research aims to develop human-centered machines that augment human capabilities in perception, reasoning, and interaction with the world. To achieve this, I am focusing on the following topics:

• Human-AI Interaction: interactive segmentation, embodied multi-agent cooperation and reasoning

• Foundation Models: vision-language models, multi-modal large language models, probabilistic modeling

• Generative Models: human-scene interaction motion synthesis, diffusion models, autoregressive models

I'm a sports enthusiast with a passion for snowboarding and badminton. I also hold a 2nd-degree black belt in Taekwondo. Whether on the slopes, the court, or in training, I love pushing my limits and shaping my skills.

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  Probabilistic Prototype Calibration of Vision-language Models for Generalized Few-shot Semantic Segmentation
  Jie Liu, Jiayi Shen, Pan Zhou, Jan-Jakob Sonke, Efstratios Gavves
  International Conference on Computer Vision (ICCV), 2025
  A probabilistic prototype calibration method of vision-language models for generalized few-shot segmentation to improve model generalization without forgetting.
  [Project] [Paper] [Code]
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  NPISeg3D: Probabilistic Interactive 3D Segmentation with Hierarchical Neural Processes
  Jie Liu, Pan Zhou, Zehao Xiao, Jiayi Shen, Wenzhe Yin, Jan-Jakob Sonke, Efstratios Gavves
  International Conference on Machine Learning (ICML), 2025
  A probabilistic method for interactive 3D segmentation to facilitate uncertainty estimation and few-shot generalization.
  [Project] [Paper] [Code]
• 

  CaPo: Cooperative Plan Optimization for Efficient Embodied Multi-agent Cooperation
  Jie Liu, Pan Zhou, Yingjun Du, Ah-Hwee Tan, Cees GM Snoek, Jan-Jakob Sonke, Efstratios Gavves
  International Conference on Learning Representations (ICLR), 2025
  An efficient plan optimization method with LLMs for embodied multi-agent cooperation.
  [Paper] [Code]
• 

  CPlot: Click Prompt Learning with Optimal Transport for Interactive Segmentation
  Jie Liu, Haochen Wang, Wenzhe Yin, Jan-Jakob Sonke, Efstratios Gavves
  European Conference on Computer Vision (ECCV), 2024
  A click prompt learning method with optimal transport for interactive segmentation to improve interaction efficiency.
  [Project] [Paper] [Code]
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  Dynamic Prototype Adaptation with Distillation for Few-shot Point Cloud Segmentation
  Jie Liu, Wenzhe Yin, Haochen Wang, Yunlu Chen, Jan-Jakob Sonke, Efstratios Gavves
  International Conference on 3D Vision (3DV), 2024
  A prototype adaptation method for few-shot point cloud segmentation.
  [Paper] [Code]
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  Few-shot Semantic Segmentation with Support-Induced Graph Convolutional Network
  Jie Liu, Yanqi Bao, Haochen Wang, Wenzhe Yin, Jan-Jakob Sonke, Efstratios Gavves
  British Machine Vision Conference (BMVC), 2022
  A graph convolutional network for few-shot semantic segmentation with support-induced structure.
  [Paper] [Code]
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  Dynamic Prototype Convolution Network for Few-shot Semantic Segmentation
  Jie Liu, Yanqi Bao, Guosen Xie, Huan Xiong, Jan-Jakob Sonke, E Gavves
  Conference on Computer Vision and Pattern Recognition (CVPR), 2022
  A dynamic prototype convolution network for few-shot semantic segmentation to improve model generalization.
  [Paper] [Code]
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  Domain Adaptation with Cauchy-Schwarz Divergence
  Wenzhe Yin, Shujian Yu, Yicong Lin, Jie Liu, Jan-Jakob Sonke, Efstratios Gavves
  Conference on Uncertainty in Artificial Intelligence (UAI), 2024
  [Paper] [Code]
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  PiClick: Picking the Desired Mask in Click-based Interactive Segmentation
  Cilin Yan, Haochen Wang, Jie Liu, Xiaolong Jiang, Yao Hu, Xu Tang, Guoliang Kang, Efstratios Gavves
  IEEE Transactions on Multimedia (TMM), 2023
  [Paper] [Code]
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  Dynamic Transformer for Few-shot Instance Segmentation
  Haochen Wang, Jie Liu, Yongtuo Liu, Subhransu Maji, Jan-Jakob Sonke, Efstratios Gavves
  Proceedings of the 30th ACM International Conference on Multimedia (ACM MM), 2022
  [Paper] [Code]
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  Scale-aware Graph Neural Network for Few-shot Semantic Segmentation
  Guo-senXie*, Jie Liu*, HuanXiong, LingShao
  Conference on Computer Vision and Pattern Recognition (CVPR), 2021
  [Paper] [Code]