Ruqi Huang
15 papers · 2019–2026 · 4 venues · across top CS/AI venues
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Computer Vision
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Deep Learning
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Analysis
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Machine Learning
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Artificial Intelligence
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Learning Types Β· Deep Learning
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Learning Types Β· Machine Learning
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3d reconstruction
(3)
point cloud
(3)
3d vision
(3)
contrastive learning
(2)
non-rigid registration
(2)
non-rigid matching
(2)
shape correspondence
(2)
functional map
(2)
scene understanding
(2)
autoregressive generation
(1)
weakly supervised learning
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self-supervised learning
(1)
3d shape generation
(1)
video generation
(1)
image generation
(1)
object tracking
(1)
visual reasoning
(1)
depth estimation
(1)
geometric deep learning
(1)
point cloud registration
(1)
Papers
Animator-Centric Skeleton Generation on Objects with Fine-Grained Details
CVPR 2026
LottieGPT: Tokenizing Vector Animation for Autoregressive Generation
CVPR 2026
SIFThinker: Spatially-Aware Image Focus for Visual Reasoning
AAAI 2026
Think with 3D: Geometric Imagination Grounded Spatial Reasoning from Limited Views
CVPR 2026
ARMO: Autoregressive Rigging for Multi-Category Objects
ICCV 2025
DRiVE: Diffusion-based Rigging Empowers Generation of Versatile and Expressive Characters
CVPR 2025
DV-Matcher: Deformation-based Non-rigid Point Cloud Matching Guided by Pre-trained Visual Features
CVPR 2025
OmniSeg3D: Omniversal 3D Segmentation via Hierarchical Contrastive Learning
CVPR 2024
XScale-NVS: Cross-Scale Novel View Synthesis with Hash Featurized Manifold
CVPR 2024
Neural Intrinsic Embedding for Non-Rigid Point Cloud Matching
CVPR 2023
Non-Rigid Shape Registration via Deep Functional Maps Prior
NeurIPS 2023
RealGraph: A Multiview Dataset for 4D Real-world Context Graph Generation
ICCV 2023
Spatially and Spectrally Consistent Deep Functional Maps
ICCV 2023
ElasticMVS: Learning elastic part representation for self-supervised multi-view stereopsis
NeurIPS 2022
OperatorNet: Recovering 3D Shapes From Difference Operators
ICCV 2019