Ruqi Huang

Orcid: 0000-0001-5942-3671

According to our database1, Ruqi Huang authored at least 26 papers between 2015 and 2024.

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Bibliography

2024
GiganticNVS: Gigapixel Large-Scale Neural Rendering With Implicit Meta-Deformed Manifold.
IEEE Trans. Pattern Anal. Mach. Intell., January, 2024

Combo: Co-speech holistic 3D human motion generation and efficient customizable adaptation in harmony.
CoRR, 2024

Unsupervised Non-Rigid Point Cloud Matching through Large Vision Models.
CoRR, 2024

Beyond Talking - Generating Holistic 3D Human Dyadic Motion for Communication.
CoRR, 2024

SRIF: Semantic Shape Registration Empowered by Diffusion-based Image Morphing and Flow Estimation.
Proceedings of the SIGGRAPH Asia 2024 Conference Papers, 2024

DynamicTrack: Advancing Gigapixel Tracking in Crowded Scenes.
Proceedings of the IEEE International Conference on Multimedia and Expo, 2024

OmniSeg3D: Omniversal 3D Segmentation via Hierarchical Contrastive Learning.
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2024

XScale- NVS: Cross-Scale Novel View Synthesis with Hash Featurized Manifold.
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2024

2023
Non-Rigid Shape Registration via Deep Functional Maps Prior.
Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023

Spatially and Spectrally Consistent Deep Functional Maps.
Proceedings of the IEEE/CVF International Conference on Computer Vision, 2023

RealGraph: A Multiview Dataset for 4D Real-world Context Graph Generation.
Proceedings of the IEEE/CVF International Conference on Computer Vision, 2023

Neural Intrinsic Embedding for Non-Rigid Point Cloud Matching.
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2023

Fast Point Cloud Registration for Urban Scenes via Pillar-Point Representation.
Proceedings of the Artificial Intelligence - Third CAAI International Conference, 2023

2022
Optical Neural Ordinary Differential Equations.
CoRR, 2022

ElasticMVS: Learning elastic part representation for self-supervised multi-view stereopsis.
Proceedings of the Advances in Neural Information Processing Systems 35: Annual Conference on Neural Information Processing Systems 2022, 2022

ParseMVS: Learning Primitive-aware Surface Representations for Sparse Multi-view Stereopsis.
Proceedings of the MM '22: The 30th ACM International Conference on Multimedia, Lisboa, Portugal, October 10, 2022

Cross-Camera Deep Colorization.
Proceedings of the Artificial Intelligence - Second CAAI International Conference, 2022

2021
EFENet: Reference-Based Video Super-Resolution with Enhanced Flow Estimation.
Proceedings of the Artificial Intelligence - First CAAI International Conference, 2021

2020
Consistent ZoomOut: Efficient Spectral Map Synchronization.
Comput. Graph. Forum, 2020

2019
Limit Shapes - A Tool for Understanding Shape Differences and Variability in 3D Model Collections.
Comput. Graph. Forum, 2019

OperatorNet: Recovering 3D Shapes From Difference Operators.
Proceedings of the 2019 IEEE/CVF International Conference on Computer Vision, 2019

2018
Latent Space Representation for Shape Analysis and Learning.
CoRR, 2018

On the Stability of Functional Maps and Shape Difference Operators.
Comput. Graph. Forum, 2018

2017
Adjoint Map Representation for Shape Analysis and Matching.
Comput. Graph. Forum, 2017

2016
Two contributions to geometric data analysis: filamentary structures approximations, and stability properties of functional approaches for shape comparison. ( Deux contributions à l'analyse géométrique de données : approximation de structures filamentaires et stabilité des approches fonctionnelles pour la comparaison de formes).
PhD thesis, 2016

2015
Gromov-Hausdorff Approximation of Filamentary Structures Using Reeb-Type Graphs.
Discret. Comput. Geom., 2015


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