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Fan Yue

Research Engineer
Genmo.ai
fan (at) genmo.ai


Short Bio

I am a Research Engineer at Genmo.ai, working with Ajay Jain and Paras Jain on video generation. Before that, I was a Ph.D. student in Computer Vision and Machine Learning group at Max Planck Institute for Informatics, advised by Prof. Bernt Schiele. My research involves close collaborations with Dr. Dengxin Dai. During my PhD, I was a student researcher at Google Zurich, working with Dr. Yongqin Xian, Dr. Xiaohua Zhai (DeepMind), Dr. Alexander A. Kolesnikov (DeepMind), and Prof. Federico Tombari. Prior to this, I obtained my Master’s degree from Saarland University.

News

Publications

  1. ICLR Spotlight
    TokenFormer: Rethinking Transformer Scaling with Tokenized Model Parameters
    Yue Fan, Haiyang Wang, Muhammad Ferjad Naeem, Yongqin Xian, Jan Eric Lenssen, Liwei Wang, Federico Tombari, Bernt Schiele
    The Thirteenth International Conference on Learning Representations (ICLR Spotlight), 2025.
    PDF Code

  2. CVPR Workshop Oral
    Toward a Diffusion-Based Generalist for Dense Vision Tasks
    Yue Fan, Yongqin Xian, Xiaohua Zhai, Alexander Kolesnikov, Muhammad Ferjad Naeem, Bernt Schiele, Federico Tombari
    IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR Workshop Oral), 2024.
    PDF

  3. ICCV
    SSB: Simple but Strong Baseline for Boosting Performance of Open-Set Semi-Supervised Learning
    Yue Fan, Anna Kukleva, Dengxin Dai, Bernt Schiele
    IEEE/CVF International Conference on Computer Vision (ICCV), 2023.
    PDF Code

  4. ICLR
    Softmatch: Addressing the quantity-quality trade-off in semi-supervised learning
    Hao Chen, Ran Tao, Yue Fan, Yidong Wang, Jindong Wang, Bernt Schiele, Xing Xie, Bhiksha Raj, Marios Savvides
    The Eleventh International Conference on Learning Representations (ICLR), 2023.
    PDF Code

  5. ICLR
    FreeMatch: Self-adaptive Thresholding for Semi-supervised Learning
    Yidong Wang, Hao Chen, Qiang Heng, Wenxin Hou, Yue Fan, Zhen Wu, Jindong Wang, Marios Savvides, Takahiro Shinozaki, Bhiksha Raj, Bernt Schiele, Xing Xie
    The Eleventh International Conference on Learning Representations (ICLR), 2023.
    PDF Code

  6. NeurIPS
    Usb: A unified semi-supervised learning benchmark for classification
    Yidong Wang*, Hao Chen*, Yue Fan*, SUN Wang, Ran Tao, Wenxin Hou, Renjie Wang, Linyi Yang, Zhi Zhou, Lan-Zhe Guo, Heli Qi, Zhen Wu, Yu-Feng Li, Satoshi Nakamura, Wei Ye, Marios Savvides, Bhiksha Raj, Takahiro Shinozaki, Bernt Schiele, Jindong Wang, Xing Xie, Yue Zhang
    (* Equal contribution)
    Advances in Neural Information Processing Systems (NeurIPS), 2022.
    PDF Code

  7. CVPR
    CoSSL: Co-Learning of Representation and Classifier for Imbalanced Semi-Supervised Learning
    Yue Fan, Dengxin Dai, Anna Kukleva, Bernt Schiele
    IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR), 2022.
    PDF Code

  8. IJCV
    Revisiting consistency regularization for semi-supervised learning
    Yue Fan, Anna Kukleva, Dengxin Dai, Bernt Schiele
    International Journal of Computer Vision (IJCV) 2023.
    PDF

  9. GCPR
    Analyzing the dependency of convnets on spatial information
    Yue Fan, Yongqin Xian, Max Maria Losch, Bernt Schiele
    Pattern Recognition, 42nd DAGM German Conference, DAGM GCPR (GCPR) 2020.
    PDF

  10. Parameter-free spatial attention network for person re-identification
    Haoran Wang*, Yue Fan*, Zexin Wang, Licheng Jiao, Bernt Schiele
    (* Equal contribution)
    arXiv 2018.
    PDF

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Contact

Address: Genmo.ai
Office Location: 144 2nd StSan Francisco, CA 94105
Email: fan (at) genmo.ai