Fu, Xiao

25 publications

ICLR 2025 3DTrajMaster: Mastering 3D Trajectory for Multi-Entity Motion in Video Generation Xiao Fu, Xian Liu, Xintao Wang, Sida Peng, Menghan Xia, Xiaoyu Shi, Ziyang Yuan, Pengfei Wan, Di Zhang, Dahua Lin

ICLR 2025 Content-Style Learning from Unaligned Domains: Identifiability Under Unknown Latent Dimensions Sagar Shrestha, Xiao Fu

NeurIPS 2025 Diverse Influence Component Analysis: A Geometric Approach to Nonlinear Mixture Identifiability Hoang-Son Nguyen, Xiao Fu

ICML 2025 Diversified Flow Matching with Translation Identifiability Sagar Shrestha, Xiao Fu

IJCAI 2025 Enhancing Multimodal Model Robustness Under Missing Modalities via Memory-Driven Prompt Learning Yihan Zhao, Wei Xi, Xiao Fu, Jizhong Zhao

ICCV 2025 ReCamMaster: Camera-Controlled Generative Rendering from a Single Video Jianhong Bai, Menghan Xia, Xiao Fu, Xintao Wang, Lianrui Mu, Jinwen Cao, Zuozhu Liu, Haoji Hu, Xiang Bai, Pengfei Wan, Di Zhang

ECCV 2024 GeoWizard: Unleashing the Diffusion Priors for 3D Geometry Estimation from a Single Image Xiao Fu, Wei Yin, Mu Hu, Kaixuan Wang, Yuexin Ma, Ping Tan, Shaojie Shen, Dahua Lin, Xiaoxiao Long

NeurIPS 2024 Identifiable Shared Component Analysis of Unpaired Multimodal Mixtures Subash Timilsina, Sagar Shrestha, Xiao Fu

NeurIPS 2024 Noisy Label Learning with Instance-Dependent Outliers: Identifiability via Crowd Wisdom Tri Nguyen, Shahana Ibrahim, Xiao Fu

ICLR 2024 Towards Identifiable Unsupervised Domain Translation: A Diversified Distribution Matching Approach Sagar Shrestha, Xiao Fu

ICML 2023 Deep Clustering with Incomplete Noisy Pairwise Annotations: A Geometric Regularization Approach Tri Nguyen, Shahana Ibrahim, Xiao Fu

ICLR 2023 Deep Learning from Crowdsourced Labels: Coupled Cross-Entropy Minimization, Identifiability, and Regularization Shahana Ibrahim, Tri Nguyen, Xiao Fu

CVPR 2023 OmniObject3D: Large-Vocabulary 3D Object Dataset for Realistic Perception, Reconstruction and Generation Tong Wu, Jiarui Zhang, Xiao Fu, Yuxin Wang, Jiawei Ren, Liang Pan, Wayne Wu, Lei Yang, Jiaqi Wang, Chen Qian, Dahua Lin, Ziwei Liu

ICML 2023 Under-Counted Tensor Completion with Neural Incorporation of Attributes Shahana Ibrahim, Xiao Fu, Rebecca Hutchinson, Eugene Seo

ICML 2022 On Finite-Sample Identifiability of Contrastive Learning-Based Nonlinear Independent Component Analysis Qi Lyu, Xiao Fu

NeurIPS 2022 Provable Subspace Identification Under Post-Nonlinear Mixtures Qi Lyu, Xiao Fu

ICLR 2022 Understanding Latent Correlation-Based Multiview Learning and Self-Supervision: An Identifiability Perspective Qi Lyu, Xiao Fu, Weiran Wang, Songtao Lu

ICML 2021 Crowdsourcing via Annotator Co-Occurrence Imputation and Provable Symmetric Nonnegative Matrix Factorization Shahana Ibrahim, Xiao Fu

AAAI 2021 StatEcoNet: Statistical Ecology Neural Networks for Species Distribution Modeling Eugene Seo, Rebecca A. Hutchinson, Xiao Fu, Chelsea Li, Tyler A. Hallman, John Kilbride, W. Douglas Robinson

NeurIPS 2019 Crowdsourcing via Pairwise Co-Occurrences: Identifiability and Algorithms Shahana Ibrahim, Xiao Fu, Nikolaos Kargas, Kejun Huang

ICML 2019 Detecting Overlapping and Correlated Communities Without Pure Nodes: Identifiability and Algorithm Kejun Huang, Xiao Fu

ICML 2018 Learning Hidden Markov Models from Pairwise Co-Occurrences with Application to Topic Modeling Kejun Huang, Xiao Fu, Nicholas Sidiropoulos

AAAI 2018 On Convergence of Epanechnikov Mean Shift Kejun Huang, Xiao Fu, Nicholas D. Sidiropoulos

ICML 2017 Towards K-Means-Friendly Spaces: Simultaneous Deep Learning and Clustering Bo Yang, Xiao Fu, Nicholas D. Sidiropoulos, Mingyi Hong

NeurIPS 2016 Anchor-Free Correlated Topic Modeling: Identifiability and Algorithm Kejun Huang, Xiao Fu, Nikolaos D. Sidiropoulos