Baorui Ma

15 papers · 2021–2026 · 6 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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🗺️ Taxonomy Completionist (26) 🌍 Conference Polyglot · Silver 🏃 Academic Marathon · Sprint 🌉 Interdisciplinary Bridge · Bronze 🐣 Hot Topic Early Bird

🔬 Deep Specialist (12) 🏆 Grand Slam 🤝 Dynamic Duo (13) ⚡ Prolific Year · Productive 🔥 Unstoppable · Bronze 💎 Century Club · Bronze 🗃️ Keyword Collector (76)

Venues

CVPR (7) AAAI (2) ICML (2) NeurIPS (2) ICCV (1) ICLR (1)

Top co-authors

Yu-Shen Liu (13) Zhizhong Han (12) Junsheng Zhou (9) Shujuan Li (3) Yi Fang (2) Wenyuan Zhang (2) Kanle Shi (2) Matthias Zwicker (2) Xinlong Wang (2) Tiejun Huang (2)

Research topics

Computer Vision (13) Analysis (13) Deep Learning (12) Machine Learning (7) Core Methods (6) Processing (6) Generation (5) Learning Types (5) Models (5) Artificial Intelligence (4) Core AI (4) Architectures (3) Optimization & Theory (2) Techniques (2) Domain-Specific (1)

Keywords

point cloud (9) surface reconstruction (7) neural network (4) signed distance function (4) 3d vision (3) unsigned distance field (3) 3d reconstruction (3) diffusion model (2) 3d computer vision (2) self-supervised learning (1) video understanding (1) 3d shape generation (1) wavelet transform (1) zero-shot learning (1) autonomous driving (1) point cloud registration (1) visuomotor learning (1) multimodal learning (1) 3d generation (1) gradient descent (1)

Papers

Chain of World: World Model Thinking in Latent Motion CVPR 2026 NeRFPrior: Learning Neural Radiance Field as a Prior for Indoor Scene Reconstruction CVPR 2025 You See it, You Got it: Learning 3D Creation on Pose-Free Videos at Scale CVPR 2025 Learning Continuous Implicit Field with Local Distance Indicator for Arbitrary-Scale Point Cloud Upsampling AAAI 2024 UDiFF: Generating Conditional Unsigned Distance Fields with Optimal Wavelet Diffusion CVPR 2024 Uni3D: Exploring Unified 3D Representation at Scale ICLR 2024 Differentiable Registration of Images and LiDAR Point Clouds with VoxelPoint-to-Pixel Matching NeurIPS 2023 Learning a More Continuous Zero Level Set in Unsigned Distance Fields through Level Set Projection ICCV 2023 Learning Signed Distance Functions from Noisy 3D Point Clouds via Noise to Noise Mapping ICML 2023 NeAF: Learning Neural Angle Fields for Point Normal Estimation AAAI 2023 Towards Better Gradient Consistency for Neural Signed Distance Functions via Level Set Alignment CVPR 2023 Learning Consistency-Aware Unsigned Distance Functions Progressively from Raw Point Clouds NeurIPS 2022 Reconstructing Surfaces for Sparse Point Clouds With On-Surface Priors CVPR 2022 Surface Reconstruction From Point Clouds by Learning Predictive Context Priors CVPR 2022 Neural-Pull: Learning Signed Distance Function from Point clouds by Learning to Pull Space onto Surface ICML 2021