Adaptive Packet Rate Control for the Mitigation of Bursty Haptic Traffic in Teleoperation Systems. - Ming Gui; Xiao Xu 001; Eckehard G. Steinbach (HAPTICS, 2020)

Block-based Novel Haptic Data Reduction for Time-delayed Teleoperation. - Ming Gui; Xiao Xu 001; Eckehard G. Steinbach (IROS, 2022)

Laplace Approximation for Real-Time Uncertainty Estimation in Object Detection. - Ming Gui; Tianming Qiu; Fridolin Bauer; Hao Shen 002 (ITSC, 2022)

SVIT: Hybrid Vision Transformer Models with Scattering Transform. - Tianming Qiu; Ming Gui; Cheng Yan; Ziqing Zhao; Hao Shen 002 (MLSP, 2022)

Boosting Latent Diffusion with Flow Matching. - Johannes S. Fischer; Ming Gui; Pingchuan Ma 006; Nick Stracke; Stefan Andreas Baumann; Björn Ommer (CoRR, 2023)

ZigMa: A DiT-style Zigzag Mamba Diffusion Model. - Vincent Tao Hu; Stefan Andreas Baumann; Ming Gui; Olga Grebenkova; Pingchuan Ma 006; Johannes S. Fischer; Björn Ommer (ECCV (21), 2024)

FMBoost: Boosting Latent Diffusion with Flow Matching. - Johannes Schusterbauer; Ming Gui; Pingchuan Ma 006; Nick Stracke; Stefan Andreas Baumann; Vincent Tao Hu; Björn Ommer (ECCV (61), 2024)

DepthFM: Fast Monocular Depth Estimation with Flow Matching. - Ming Gui; Johannes S. Fischer; Ulrich Prestel; Pingchuan Ma 006; Dmytro Kotovenko; Olga Grebenkova; Stefan Andreas Baumann; Vincent Tao Hu; Björn Ommer (CoRR, 2024)

Diffusion Models and Representation Learning: A Survey. - Michael Fuest; Pingchuan Ma 006; Ming Gui; Johannes S. Fischer; Vincent Tao Hu; Björn Ommer (CoRR, 2024)

DepthFM: Fast Generative Monocular Depth Estimation with Flow Matching. - Ming Gui; Johannes Schusterbauer; Ulrich Prestel; Pingchuan Ma 006; Dmytro Kotovenko; Olga Grebenkova; Stefan Andreas Baumann; Vincent Tao Hu; Björn Ommer (AAAI, 2025)

Diff2Flow: Training Flow Matching Models via Diffusion Model Alignment. - Johannes Schusterbauer; Ming Gui; Frank Fundel; Björn Ommer (CVPR, 2025)