Pingchuan Ma

According to our database, Pingchuan Ma authored at least 7 papers between 2019 and 2024.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of four.

2024

ZigMa: A DiT-style Zigzag Mamba Diffusion Model.

Vincent Tao Hu, Stefan Andreas Baumann, Ming Gui, Olga Grebenkova, Pingchuan Ma, Johannes S. Fischer, Björn Ommer

CoRR, 2024

DepthFM: Fast Monocular Depth Estimation with Flow Matching.

Ming Gui, Johannes S. Fischer, Ulrich Prestel, Pingchuan Ma, Dmytro Kotovenko, Olga Grebenkova, Stefan Andreas Baumann, Vincent Tao Hu, Björn Ommer

CoRR, 2024

2023

Motion Flow Matching for Human Motion Synthesis and Editing.

Vincent Tao Hu, Wenzhe Yin, Pingchuan Ma, Yunlu Chen, Basura Fernando, Yuki M. Asano, Efstratios Gavves, Pascal Mettes, Björn Ommer, Cees G. M. Snoek

CoRR, 2023

Boosting Latent Diffusion with Flow Matching.

Johannes S. Fischer, Ming Gui, Pingchuan Ma, Nick Stracke, Stefan Andreas Baumann, Björn Ommer

CoRR, 2023

Cross-Image-Attention for Conditional Embeddings in Deep Metric Learning.

Dmytro Kotovenko, Pingchuan Ma, Timo Milbich, Björn Ommer

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2023

2022

Improving Deep Metric Learning by Divide and Conquer.

Artsiom Sanakoyeu, Pingchuan Ma, Vadim Tschernezki, Björn Ommer

IEEE Trans. Pattern Anal. Mach. Intell., 2022

2019

A Content Transformation Block for Image Style Transfer.

Dmytro Kotovenko, Artsiom Sanakoyeu, Pingchuan Ma, Sabine Lang, Björn Ommer

Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2019