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Xiangyu Sun

9 papers · 2021–2026 · 4 venues · across top CS/AI venues

Authors are matched by name, so researchers who share a name ("Yang Liu", "Wei Wang") appear as a single profile and their paper counts, venues and achievements are combined. How identity is handled.

Achievements

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🌍 Conference Polyglot Β· Bronze πŸƒ Academic Marathon Β· Sprint πŸŒ‰ Interdisciplinary Bridge Β· Bronze πŸ—ΊοΈ Taxonomy Completionist (16) 🐣 Hot Topic Early Bird

Venues

CVPR (5) NeurIPS (2) AISTATS (1) ECCV (1)

Top co-authors

Eunbyung Park (5) Seungtae Nam (3) Oliver Schulte (3) Gyeongjin Kang (3) Guiliang Liu (2) Pascal Poupart (2) Jong Hwan Ko (1) Byeonghyeon Lee (1) Yadan Luo (1) Usman Ali (1)

Research topics

Computer Vision (5) Deep Learning (5) Analysis (5) Artificial Intelligence (4) Machine Learning (3) Core AI (3) Architectures (2) Core Methods (2) Generation (2) Learning Types (2) Bayesian & Probabilistic (1) Domain-Specific (1) Optimization & Theory (1) Techniques (1)

Keywords

3d reconstruction (3) 3d gaussian splatting (3) novel view synthesis (2) model selection (1) information bottleneck (1) structure learning (1) causal discovery (1) self-supervised learning (1) attention mechanism (1) 3d occupancy prediction (1) gaussian splatting (1) scene representation (1) open-vocabulary recognition (1) iterative refinement (1) maximum likelihood (1) vector quantization (1) independence testing (1) cause-effect inference (1) convolutional neural network (1) decision tree (1)

Papers

iLRM: An Iterative Large 3D Reconstruction Model CVPR 2026 Test-Time 3D Occupancy Prediction CVPR 2026 Uni3R: Unified 3D Reconstruction and Semantic Understanding via Generalizable Gaussian Splatting from Unposed Multi-View Images CVPR 2026 Generative Densification: Learning to Densify Gaussians for High-Fidelity Generalizable 3D Reconstruction CVPR 2025 Compact 3D Gaussian Representation for Radiance Field CVPR 2024 Deblurring 3D Gaussian Splatting ECCV 2024 Cause-Effect Inference in Location-Scale Noise Models: Maximum Likelihood vs. Independence Testing NeurIPS 2023 NTS-NOTEARS: Learning Nonparametric DBNs With Prior Knowledge AISTATS 2023 Learning Tree Interpretation from Object Representation for Deep Reinforcement Learning NeurIPS 2021