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Chuan Yan

Postdoc Researcher
Stanford University
chuanyan@stanford.edu


About Me

I am a Postdoctoral Researcher at Stanford University, working with Maneesh Agrawala in the Brown Institute for Media Innovation. My research focuses on human vision, human-AI collaboration, and creative design. I obtained my Ph.D. from George Mason University, advised by Yotam Gingold, and my Bachelor’s in Communication Technology from Southwest Jiaotong University.

Research Interests

News

Publications

Selected Publications

  1. SIGGAPH 2025
    Generating Past and Future in Digital Painting Processes
    Lvmin Zhang, Chuan Yan, Yuwei Guo, Jinbo Xing, Maneesh Agrawala
    ACM Transactions on Graphics
    PDF Code Project Page BibTex

  2. SIGGRAPH 2025
    Instance Segmentation of Scene Sketches Using Natural Image Priors
    Mia Tang, Yael Vinker, Chuan Yan, Lvmin Zhang, Maneesh Agrawala
    Proceedings of the Special Interest Group on Computer Graphics and Interactive Techniques Conference Conference Papers
    PDF Code Project Page BibTex

  3. SIGGRAPH 2024
    Deep Sketch Vectorization via Implicit Surface Extraction
    Chuan Yan*, Yong Li, Deepali Aneja, Matthew Fisher, Edgar Simo-Serra, Yotam Gingold (*Corresponding author)
    ACM Transactions on Graphics (TOG) 43(4)
    PDF Code BibTex

  4. UIST 2024
    ShadowMagic: Designing Human-AI Collaborative Support for Comic Professionals' Shadowing
    Amrita Ganguly*, Chuan Yan, John Joon Young Chung, Tong Steven Sun, Yoon Kiheon, Yotam Gingold, Sungsoo Ray Hong (*Corresponding author)
    The ACM Symposium on User Interface Software and Technology 2024

  5. CHI 2022
    FlatMagic: Improving Flat Colorization through AI-driven Design for Digital Comic Professionals
    Chuan Yan, John Joon Young Chung, Kiheon Yoon, Yotam Gingold, Eytan Adar, Sungsoo Ray Hong* (*Corresponding author)
    ACM CHI Conference on Human Factors in Computing Systems 2022
    PDF Code BibTex

  6. SIGGRAPH Asia 2020
    A Benchmark for Rough Sketch Cleanup
    Chuan Yan, David Vanderhaeghe, Yotam Gingold* (*Corresponding author)
    ACM Transactions on Graphics (TOG) 39(6)
    PDF Code BibTex

Other Publications

  1. IVC 2025
    Self-ensembling for 3D point cloud domain adaptation
    Qing Li*, Xiaojiang Peng, Chuan Yan, Pan Gao, Qi Hao
    Image and Vision Computing
    PDF BibTex

  2. ICML 2025
    SmokeSAM: Vehicle Black Smoke Segmentation Based on SAM and LoRA Fine-Tuning
    Zeyu Dong, Qing Li, Chuan Yan, Xiaojiang Peng
    2025 6th International Conference on Machine Learning and Computer Application (ICMLCA)
    PDF BibTex

  3. IIICASSP 2025
    Enhancing 6D Pose Estimation with Cross-modal Fusion Network and Density-peak Keypoint Localization
    Liming Zhang, Qing Li, Zhenhong Chen, Chuan Yan, Xiaojiang Peng
    ICASSP 2025 - 2025 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP)
    PDF BibTex

  4. PR 2024
    Graph Attentive Dual Ensemble learning for Unsupervised Domain Adaptation on point clouds
    Qing Li*, Chuan Yan, Qi Hao, Xiaojiang Peng, Li Liu
    Pattern Recognition
    PDF BibTex

  5. VAMR 2024
    Mixed-Integer Programming for Adaptive VR Workflow Training
    Yongqi Zhang, Chuan Yan, Haikun Huang, Simon Su, Lap-Fai Yu
    Virtual, Augmented and Mixed Reality
    PDF BibTex

  6. ITAI 2024
    Global Attention-Guided Dual-Domain Point Cloud Feature Learning for Classification and Segmentation
    Zihao Li, Pan Gao, Kang You, Chuan Yan, Manoranjan Paul
    IEEE Transactions on Artificial Intelligence
    PDF BibTex

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