multi-view data

Learning View-invariant World Models for Visual Robotic Manipulation ICLR 2025 LightSwitch: Multi-view Relighting with Material-guided Diffusion ICCV 2025 MANTA: A Large-Scale Multi-View and Visual-Text Anomaly Detection Dataset for Tiny Objects CVPR 2025 SEED4D: A Synthetic Ego-Exo Dynamic 4D Data Generator Driving Dataset and Benchmark WACV 2025 A Non-parametric Graph Clustering Framework for Multi-View Data AAAI 2024 Atomic Recovery Property for Multi-view Subspace-Preserving Recovery IJCAI 2024 Bridging Gaps: Federated Multi-View Clustering in Heterogeneous Hybrid Views NeurIPS 2024 LRM: Large Reconstruction Model for Single Image to 3D ICLR 2024 Jointly Imputing Multi-View Data with Optimal Transport AAAI 2023 D-GCCA: Decomposition-based Generalized Canonical Correlation Analysis for Multi-view High-dimensional Data JMLR 2022 Interpretable Representation Learning from Temporal Multi-view Data ACML 2022 ME-GAN: Learning Panoptic Electrocardio Representations for Multi-view ECG Synthesis Conditioned on Heart Diseases ICML 2022 Integrative Generalized Convex Clustering Optimization and Feature Selection for Mixed Multi-View Data JMLR 2021 mvlearn: Multiview Machine Learning in Python JMLR 2021 A Spatial Missing Value Imputation Method for Multi-view Urban Statistical Data IJCAI 2020 Robust Multi-View Representation Learning (Student Abstract) AAAI 2020 Multi-View Anomaly Detection: Neighborhood in Locality Matters AAAI 2019 Multi-View Information-Theoretic Co-Clustering for Co-Occurrence Data AAAI 2019 Multi-view Anomaly Detection via Robust Probabilistic Latent Variable Models NeurIPS 2016 Finding Linear Structure in Large Datasets with Scalable Canonical Correlation Analysis ICML 2015 Convex Multi-view Subspace Learning NeurIPS 2012 Predictive Subspace Learning for Multi-view Data: a Large Margin Approach NeurIPS 2010