Ma, Pingchuan

30 publications

AAAI 2025 DepthFM: Fast Generative Monocular Depth Estimation with Flow Matching Ming Gui, Johannes Schusterbauer, Ulrich Prestel, Pingchuan Ma, Dmytro Kotovenko, Olga Grebenkova, Stefan Andreas Baumann, Vincent Tao Hu, Björn Ommer
AAAI 2025 Does VLM Classification Benefit from LLM Description Semantics? Pingchuan Ma, Lennart Rietdorf, Dmytro Kotovenko, Vincent Tao Hu, Björn Ommer
CoRL 2025 Fabrica: Dual-Arm Assembly of General Multi-Part Objects via Integrated Planning and Learning Yunsheng Tian, Joshua Jacob, Yijiang Huang, Jialiang Zhao, Edward Li Gu, Pingchuan Ma, Annan Zhang, Farhad Javid, Branden Romero, Sachin Chitta, Shinjiro Sueda, Hui Li, Wojciech Matusik
NeurIPS 2025 MoME: Mixture of Matryoshka Experts for Audio-Visual Speech Recognition Umberto Cappellazzo, Minsu Kim, Pingchuan Ma, Honglie Chen, Xubo Liu, Stavros Petridis, Maja Pantic
CVPR 2025 ROICtrl: Boosting Instance Control for Visual Generation Yuchao Gu, Yipin Zhou, Yunfan Ye, Yixin Nie, Licheng Yu, Pingchuan Ma, Kevin Qinghong Lin, Mike Zheng Shou
ICCV 2025 SCFlow: Implicitly Learning Style and Content Disentanglement with Flow Models Pingchuan Ma, Xiaopei Yang, Yusong Li, Ming Gui, Felix Krause, Johannes Schusterbauer, Björn Ommer
ICCV 2025 Stochastic Interpolants for Revealing Stylistic Flows Across the History of Art Pingchuan Ma, Ming Gui, Johannes Schusterbauer, Xiaopei Yang, Olga Grebenkova, Vincent Tao Hu, Björn Ommer
ICLR 2025 TopoGaussian: Inferring Internal Topology Structures from Visual Clues Xiaoyu Xiong, Changyu Hu, Chunru Lin, Pingchuan Ma, Chuang Gan, Tao Du
ECCV 2024 FMBoost: Boosting Latent Diffusion with Flow Matching Johannes S Fischer, Ming Gui, Pingchuan Ma, Nick Stracke, Stefan Andreas Baumann, Vincent Tao Hu, Björn Ommer
ICML 2024 LLM and Simulation as Bilevel Optimizers: A New Paradigm to Advance Physical Scientific Discovery Pingchuan Ma, Tsun-Hsuan Wang, Minghao Guo, Zhiqing Sun, Joshua B. Tenenbaum, Daniela Rus, Chuang Gan, Wojciech Matusik
NeurIPSW 2024 LLM and Simulation as Bilevel Optimizers: A New Paradigm to Advance Physical Scientific Discovery Pingchuan Ma, Tsun-Hsuan Wang, Minghao Guo, Zhiqing Sun, Joshua B. Tenenbaum, Daniela Rus, Chuang Gan, Wojciech Matusik
NeurIPS 2024 NeuralFluid: Nueral Fluidic System Design and Control with Differentiable Simulation Yifei Li, Yuchen Sun, Pingchuan Ma, Eftychios Sifakis, Tao Du, Bo Zhu, Wojciech Matusik
NeurIPS 2024 Physically Compatible 3D Object Modeling from a Single Image Minghao Guo, Bohan Wang, Pingchuan Ma, Tianyuan Zhang, Crystal Elaine Owens, Chuang Gan, Joshua B. Tenenbaum, Kaiming He, Wojciech Matusik
ECCV 2024 WaSt-3D: Wasserstein-2 Distance for Scene-to-Scene Stylization on 3D Gaussians Dmytro Kotovenko, Olga Grebenkova, Nikolaos Sarafianos, Avinash Paliwal, Pingchuan Ma, Omid Poursaeed, Sreyas Mohan, Yuchen Fan, Yilei Li, Rakesh Ranjan, Bjorn Ommer
ECCV 2024 ZigMa: A DiT-Style Zigzag Mamba Diffusion Model Vincent Tao Hu, Stefan A Baumann, Ming Gui, Olga Grebenkova, Pingchuan Ma, Johannes S Fischer, Bjorn Ommer
ICMLW 2024 ZigMa: A DiT-Style Zigzag Mamba Diffusion Model Vincent Tao Hu, Stefan Andreas Baumann, Ming Gui, Olga Grebenkova, Pingchuan Ma, Johannes Schusterbauer, Björn Ommer
CVPR 2023 Cross-Image-Attention for Conditional Embeddings in Deep Metric Learning Dmytro Kotovenko, Pingchuan Ma, Timo Milbich, Björn Ommer
NeurIPS 2023 DiffuseBot: Breeding Soft Robots with Physics-Augmented Generative Diffusion Models Tsun-Hsuan Johnson Wang, Juntian Zheng, Pingchuan Ma, Yilun Du, Byungchul Kim, Andrew Spielberg, Josh Tenenbaum, Chuang Gan, Daniela Rus
NeurIPS 2023 Explain Any Concept: Segment Anything Meets Concept-Based Explanation Ao Sun, Pingchuan Ma, Yuanyuan Yuan, Shuai Wang
ICLR 2023 Jointly Learning Visual and Auditory Speech Representations from Raw Data Alexandros Haliassos, Pingchuan Ma, Rodrigo Mira, Stavros Petridis, Maja Pantic
ICML 2023 Learning Neural Constitutive Laws from Motion Observations for Generalizable PDE Dynamics Pingchuan Ma, Peter Yichen Chen, Bolei Deng, Joshua B. Tenenbaum, Tao Du, Chuang Gan, Wojciech Matusik
ICLR 2023 SoftZoo: A Soft Robot Co-Design Benchmark for Locomotion in Diverse Environments Tsun-Hsuan Wang, Pingchuan Ma, Andrew Everett Spielberg, Zhou Xian, Hao Zhang, Joshua B. Tenenbaum, Daniela Rus, Chuang Gan
CVPR 2023 SynthVSR: Scaling up Visual Speech Recognition with Synthetic Supervision Xubo Liu, Egor Lakomkin, Konstantinos Vougioukas, Pingchuan Ma, Honglie Chen, Ruiming Xie, Morrie Doulaty, Niko Moritz, Jachym Kolar, Stavros Petridis, Maja Pantic, Christian Fuegen
ECML-PKDD 2023 Towards Practical Federated Causal Structure Learning Zhaoyu Wang, Pingchuan Ma, Shuai Wang
ICML 2022 Fast Aquatic Swimmer Optimization with Differentiable Projective Dynamics and Neural Network Hydrodynamic Models Elvis Nava, John Z Zhang, Mike Yan Michelis, Tao Du, Pingchuan Ma, Benjamin F. Grewe, Wojciech Matusik, Robert Kevin Katzschmann
ICLR 2022 RISP: Rendering-Invariant State Predictor with Differentiable Simulation and Rendering for Cross-Domain Parameter Estimation Pingchuan Ma, Tao Du, Joshua B. Tenenbaum, Wojciech Matusik, Chuang Gan
WACV 2021 Lip-Reading with Densely Connected Temporal Convolutional Networks Pingchuan Ma, Yujiang Wang, Jie Shen, Stavros Petridis, Maja Pantic
ICML 2020 Efficient Continuous Pareto Exploration in Multi-Task Learning Pingchuan Ma, Tao Du, Wojciech Matusik
IJCAI 2020 Metamorphic Testing and Certified Mitigation of Fairness Violations in NLP Models Pingchuan Ma, Shuai Wang, Jin Liu
ICML 2020 Prediction-Guided Multi-Objective Reinforcement Learning for Continuous Robot Control Jie Xu, Yunsheng Tian, Pingchuan Ma, Daniela Rus, Shinjiro Sueda, Wojciech Matusik