publications

publications by categories in reversed chronological order. generated by jekyll-scholar. * indicates equal contribution.

2026

  1. Adapting Self-Supervised Representations as a Latent Space for Efficient Generation
    Adapting Self-Supervised Representations as a Latent Space for Efficient Generation
    Ming Gui*, Johannes Schusterbauer*, Timy Phan, and 4 more authors
    In The Fourteenth International Conference on Learning Representations (ICLR), Apr 2026
    arXiv Code
  2. Denoising, Fast and Slow: Difficulty-Aware Adaptive Sampling for Image Generation
    Denoising, Fast and Slow: Difficulty-Aware Adaptive Sampling for Image Generation
    Johannes Schusterbauer*, Ming Gui*, Yusong Li, and 3 more authors
    In Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR), Jun 2026
    arXiv Project page
  3. Diffusion models and representation learning: A survey
    Michael Fuest, Pingchuan Ma, Ming Gui, and 3 more authors
    IEEE Transactions on Pattern Analysis and Machine Intelligence, 2026
    arXiv Code
  4. Contrastive-Augmented Flow Matching for Style-Content Disentanglement
    Yusong Li, Pingchuan Ma, Ming Gui, and 2 more authors
    arXiv preprint arXiv:2607.12404, 2026
    arXiv Code
  5. Guiding Token-Sparse Diffusion Models
    Felix Krause, Stefan Andreas Baumann, Johannes Schusterbauer, and 4 more authors
    In Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR), Jun 2026
    arXiv Project page

2025

  1. TREAD: Token Routing for Efficient Architecture-agnostic Diffusion Training
    TREAD: Token Routing for Efficient Architecture-agnostic Diffusion Training
    Felix Krause, Timy Phan, Ming Gui, and 3 more authors
    In Proceedings of the IEEE/CVF International Conference on Computer Vision (ICCV), Oct 2025
    arXiv Project page
  2. DepthFM: Fast Generative Monocular Depth Estimation with Flow Matching
    DepthFM: Fast Generative Monocular Depth Estimation with Flow Matching
    Ming Gui*, Johannes Schusterbauer*, Ulrich Prestel, and 6 more authors
    In Proceedings of the AAAI Conference on Artificial Intelligence, 2025
    Oral arXiv Project page
  3. Diff2Flow: Training Flow Matching Models via Diffusion Model Alignment
    Johannes Schusterbauer*, Ming Gui*, Frank Fundel, and 1 more author
    In Proceedings of the Computer Vision and Pattern Recognition Conference (CVPR), 2025
    arXiv Code
  4. DisMo: Disentangled Motion Representations for Open-World Motion Transfer
    Thomas Ressler-Antal, Frank Fundel*, Malek Ben Alaya*, and 4 more authors
    In Advances in Neural Information Processing Systems (NeurIPS), 2025
    Spotlight arXiv Code Project page
  5. SCFlow: Implicitly Learning Style and Content Disentanglement with Flow Models
    Pingchuan Ma*, Xiaopei Yang*, Yusong Li, and 4 more authors
    In Proceedings of the IEEE/CVF International Conference on Computer Vision (ICCV), Oct 2025
    arXiv Code Project page
  6. Stochastic Interpolants for Revealing Stylistic Flows across the History of Art
    Pingchuan Ma*, Ming Gui*, Johannes Schusterbauer, and 4 more authors
    In Proceedings of the IEEE/CVF International Conference on Computer Vision (ICCV), Oct 2025
    Code Project page

2024

  1. FMBoost: Boosting Latent Diffusion with Flow Matching
    FMBoost: Boosting Latent Diffusion with Flow Matching
    Johannes Schusterbauer*, Ming Gui*, Pingchuan Ma*, and 4 more authors
    In European Conference on Computer Vision (ECCV), 2024
    Oral arXiv Project page
  2. ZigMa: A DiT-style Zigzag Mamba Diffusion Model
    Vincent Tao Hu, Stefan Andreas Baumann, Ming Gui, and 4 more authors
    In European Conference on Computer Vision (ECCV), 2024
    arXiv Project page

2022

  1. Block-based novel haptic data reduction for time-delayed teleoperation
    Ming Gui, Xiao Xu, and Eckehard Steinbach
    In 2022 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS), 2022
    Paper
  2. Svit: Hybrid vision transformer models with scattering transform
    Tianming Qiu, Ming Gui, Cheng Yan, and 2 more authors
    In 2022 IEEE 32nd International Workshop on Machine Learning for Signal Processing (MLSP), 2022
    Paper Code
  3. Laplace Approximation for Real-Time Uncertainty Estimation in Object Detection
    Ming Gui, Tianming Qiu, Fridolin Bauer, and 1 more author
    In 2022 IEEE 25th International Conference on Intelligent Transportation Systems (ITSC), 2022
    Paper

2021

  1. Laplace Approximation with Diagonalized Hessian for Over-parameterized Neural Networks
    Ming Gui, Ziqing Zhao, Tianming Qiu, and 1 more author
    In NeurIPS Workshop on Bayesian Deep Learning, 2021
    PDF

2020

  1. Adaptive packet rate control for the mitigation of bursty haptic traffic in teleoperation systems
    Ming Gui, Xiao Xu, and Eckehard Steinbach
    In 2020 IEEE Haptics Symposium (HAPTICS), 2020
    Paper