Qingshan Xu
21 papers · 2019–2026 · 6 conferences · across top CS/AI conferences
Achievements
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🏃 Academic Marathon (6) 🧭 Keyword Pioneer 🌉 Interdisciplinary Bridge 🌍 Conference Polyglot (6) 🐝 Cross-Pollinator (10)
🏃
Academic Marathon
(6)
🌉
Interdisciplinary Bridge
🐝
Cross-Pollinator
(10)
🔬
Deep Specialist
(11)
🏆
Keyword Champion
(2)
👥
Mega-Team
(32)
🤝
Dynamic Duo
(10)
🔥
Unstoppable
(5)
💎
Century Club
(17)
⚡
Prolific Year
(6)
🗃️
Keyword Collector
(102)
Conferences
AAAI (8)
CVPR (5)
ICCV (3)
NIPS (3)
ECCV (1)
ICML (1)
Top co-authors
Keywords
depth estimation
(4)
multi-view stereo
(4)
3d gaussian splatting
(3)
neural radiance field
(3)
planar prior
(2)
diffusion model
(2)
multi-view consistency
(2)
novel view synthesis
(2)
geometric consistency
(2)
3d reconstruction
(2)
point cloud registration
(2)
3d geometry
(2)
geometry consistency
(2)
computational complexity
(1)
gaussian splatting
(1)
few-shot learning
(1)
scene reconstruction
(1)
video understanding
(1)
contrastive learning
(1)
image classification
(1)
Papers
Personalize Your Gaussian: Consistent 3D Scene Personalization from a Single Image
AAAI 2026
DragNeXt: Rethinking Drag-Based Image Editing
AAAI 2026
NeuSpring: Neural Spring Fields for Reconstruction and Simulation of Deformable Objects from Videos
AAAI 2026
Pushing Rendering Boundaries: Hard Gaussian Splatting
AAAI 2026
CARE Transformer: Mobile-Friendly Linear Visual Transformer via Decoupled Dual Interaction
CVPR 2025
STGC-NeRF: Spatial-Temporal Geometric Consistency for LiDAR Neural Radiance Fields in Dynamic Scenes
AAAI 2025
Boosting Adversarial Transferability through Augmentation in Hypothesis Space
CVPR 2025
RALoc: Enhancing Outdoor LiDAR Localization via Rotation Awareness
ICCV 2025
Nautilus: Locality-aware Autoencoder for Scalable Mesh Generation
ICCV 2025
On Path to Multimodal Generalist: General-Level and General-Bench
ICML 2025
Diffusion Time-step Curriculum for One Image to 3D Generation
CVPR 2024
Few-shot NeRF by Adaptive Rendering Loss Regularization
ECCV 2024
Mining and Transferring Feature-Geometry Coherence for Unsupervised Point Cloud Registration
NIPS 2024
SPEAL: Skeletal Prior Embedded Attention Learning for Cross-Source Point Cloud Registration
AAAI 2024
MVGamba: Unify 3D Content Generation as State Space Sequence Modeling
NIPS 2024
Global and Hierarchical Geometry Consistency Priors for Few-shot NeRFs in Indoor Scenes
CVPR 2024
Hierarchical Prior Mining for Non-local Multi-View Stereo
ICCV 2023
Geo-Neus: Geometry-Consistent Neural Implicit Surfaces Learning for Multi-view Reconstruction
NIPS 2022
Planar Prior Assisted PatchMatch Multi-View Stereo
AAAI 2020
Learning Inverse Depth Regression for Multi-View Stereo with Correlation Cost Volume
AAAI 2020
Multi-Scale Geometric Consistency Guided Multi-View Stereo
CVPR 2019