Pingchuan Ma

Publication Activity (10 Years)

Years Active: 2019-2024
Publications (10 Years): 9

Top Topics

Diffusion Model

Metric Learning

Top Venues

IEEE Trans. Pattern Anal. Mach. Intell.

Publications

Michael Fuest, Pingchuan Ma, Ming Gui, Johannes S. Fischer, Vincent Tao Hu, Björn Ommer
Diffusion Models and Representation Learning: A Survey. CoRR (2024)
Ming Gui, Johannes S. Fischer, Ulrich Prestel, Pingchuan Ma, Dmytro Kotovenko, Olga Grebenkova, Stefan Andreas Baumann, Vincent Tao Hu, Björn Ommer
DepthFM: Fast Monocular Depth Estimation with Flow Matching. CoRR (2024)
Vincent Tao Hu, Stefan Andreas Baumann, Ming Gui, Olga Grebenkova, Pingchuan Ma, Johannes S. Fischer, Björn Ommer
ZigMa: A DiT-style Zigzag Mamba Diffusion Model. CoRR (2024)
Johannes S. Fischer, Ming Gui, Pingchuan Ma, Nick Stracke, Stefan A. Baumann, Björn Ommer
Boosting Latent Diffusion with Flow Matching. CoRR (2023)
Dmytro Kotovenko, Pingchuan Ma, Timo Milbich, Björn Ommer
Cross-Image-Attention for Conditional Embeddings in Deep Metric Learning. CVPR (2023)
Artsiom Sanakoyeu, Pingchuan Ma, Vadim Tschernezki, Björn Ommer
Improving Deep Metric Learning by Divide and Conquer. IEEE Trans. Pattern Anal. Mach. Intell. 44 (11) (2022)
Artsiom Sanakoyeu, Pingchuan Ma, Vadim Tschernezki, Björn Ommer
Improving Deep Metric Learning by Divide and Conquer. CoRR (2021)
Dmytro Kotovenko, Artsiom Sanakoyeu, Pingchuan Ma, Sabine Lang, Björn Ommer
A Content Transformation Block For Image Style Transfer. CoRR (2020)
Dmytro Kotovenko, Artsiom Sanakoyeu, Pingchuan Ma, Sabine Lang, Björn Ommer
A Content Transformation Block for Image Style Transfer. CVPR (2019)