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2020 – today
- 2024
[j6]Guangyu Wang
, Jinzhi Zhang, Kai Zhang, Ruqi Huang, Lu Fang:
GiganticNVS: Gigapixel Large-Scale Neural Rendering With Implicit Meta-Deformed Manifold. IEEE Trans. Pattern Anal. Mach. Intell. 46(1): 338-353 (2024)- [c14]Haiyang Ying, Yixuan Yin, Jinzhi Zhang, Fan Wang, Tao Yu, Ruqi Huang, Lu Fang:
OmniSeg3D: Omniversal 3D Segmentation via Hierarchical Contrastive Learning. CVPR 2024: 20612-20622 - [c13]Guangyu Wang, Jinzhi Zhang, Fan Wang, Ruqi Huang, Lu Fang:
XScale- NVS: Cross-Scale Novel View Synthesis with Hash Featurized Manifold. CVPR 2024: 21029-21039 - [c12]Yunqi Zhao, Yuchen Guo, Zheng Cao, Kai Ni, Ruqi Huang, Lu Fang:
DynamicTrack: Advancing Gigapixel Tracking in Crowded Scenes. ICME 2024: 1-6 - [c11]Mingze Sun, Chen Guo, Puhua Jiang, Shiwei Mao, Yurun Chen, Ruqi Huang:
SRIF: Semantic Shape Registration Empowered by Diffusion-based Image Morphing and Flow Estimation. SIGGRAPH Asia 2024: 81:1-81:11 - [i16]Mingze Sun, Chao Xu, Xinyu Jiang, Yang Liu, Baigui Sun, Ruqi Huang:
Beyond Talking - Generating Holistic 3D Human Dyadic Motion for Communication. CoRR abs/2403.19467 (2024) - [i15]Guangyu Wang, Jinzhi Zhang, Fan Wang, Ruqi Huang, Lu Fang:
XScale-NVS: Cross-Scale Novel View Synthesis with Hash Featurized Manifold. CoRR abs/2403.19517 (2024) - [i14]Yunqi Zhao, Yuchen Guo, Zheng Cao, Kai Ni, Ruqi Huang, Lu Fang:
DynamicTrack: Advancing Gigapixel Tracking in Crowded Scenes. CoRR abs/2407.18637 (2024) - [i13]Zhangquan Chen, Puhua Jiang, Ruqi Huang:
Unsupervised Non-Rigid Point Cloud Matching through Large Vision Models. CoRR abs/2408.08568 (2024) - [i12]Chao Xu, Mingze Sun, Zhi-Qi Cheng, Fei Wang, Yang Liu, Baigui Sun, Ruqi Huang, Alexander Hauptmann:
Combo: Co-speech holistic 3D human motion generation and efficient customizable adaptation in harmony. CoRR abs/2408.09397 (2024) - [i11]Mingze Sun, Chen Guo, Puhua Jiang, Shiwei Mao, Yurun Chen, Ruqi Huang:
SRIF: Semantic Shape Registration Empowered by Diffusion-based Image Morphing and Flow Estimation. CoRR abs/2409.11682 (2024) - [i10]Mingze Sun, Junhao Chen, Junting Dong, Yurun Chen, Xinyu Jiang, Shiwei Mao, Puhua Jiang, Jingbo Wang, Bo Dai, Ruqi Huang:
DRiVE: Diffusion-based Rigging Empowers Generation of Versatile and Expressive Characters. CoRR abs/2411.17423 (2024) - 2023
- [c10]Siyuan Gu, Ruqi Huang:
Fast Point Cloud Registration for Urban Scenes via Pillar-Point Representation. CICAI (1) 2023: 256-268 - [c9]Puhua Jiang, Mingze Sun, Ruqi Huang:
Neural Intrinsic Embedding for Non-Rigid Point Cloud Matching. CVPR 2023: 21835-21845 - [c8]Haozhe Lin, Zequn Chen, Jinzhi Zhang, Bing Bai, Yu Wang, Ruqi Huang, Lu Fang:
RealGraph: A Multiview Dataset for 4D Real-world Context Graph Generation. ICCV 2023: 3735-3745 - [c7]Mingze Sun, Shiwei Mao, Puhua Jiang, Maks Ovsjanikov, Ruqi Huang:
Spatially and Spectrally Consistent Deep Functional Maps. ICCV 2023: 14451-14461 - [c6]Puhua Jiang, Mingze Sun, Ruqi Huang:
Non-Rigid Shape Registration via Deep Functional Maps Prior. NeurIPS 2023 - [i9]Puhua Jiang, Mingze Sun, Ruqi Huang:
Neural Intrinsic Embedding for Non-rigid Point Cloud Matching. CoRR abs/2303.01038 (2023) - [i8]Mingze Sun, Shiwei Mao, Puhua Jiang, Maks Ovsjanikov, Ruqi Huang:
Spatially and Spectrally Consistent Deep Functional Maps. CoRR abs/2308.08871 (2023) - [i7]Puhua Jiang, Mingze Sun, Ruqi Huang:
Non-Rigid Shape Registration via Deep Functional Maps Prior. CoRR abs/2311.04494 (2023) - [i6]Haiyang Ying, Yixuan Yin, Jinzhi Zhang, Fan Wang, Tao Yu, Ruqi Huang, Lu Fang:
OmniSeg3D: Omniversal 3D Segmentation via Hierarchical Contrastive Learning. CoRR abs/2311.11666 (2023) - 2022
- [c5]Yaping Zhao, Haitian Zheng, Mengqi Ji, Ruqi Huang:
Cross-Camera Deep Colorization. CICAI (1) 2022: 3-17 - [c4]Haiyang Ying, Jinzhi Zhang, Yuzhe Chen, Zheng Cao, Jing Xiao, Ruqi Huang, Lu Fang:
ParseMVS: Learning Primitive-aware Surface Representations for Sparse Multi-view Stereopsis. ACM Multimedia 2022: 6113-6124 - [c3]Jinzhi Zhang, Ruofan Tang, Zheng Cao, Jing Xiao, Ruqi Huang, Lu Fang:
ElasticMVS: Learning elastic part representation for self-supervised multi-view stereopsis. NeurIPS 2022 - [i5]Yaping Zhao, Haitian Zheng, Mengqi Ji, Ruqi Huang:
Cross-Camera Deep Colorization. CoRR abs/2209.01211 (2022) - [i4]Yun Zhao, Hang Chen, Min Lin, Haiou Zhang, Tao Yan, Xing Lin, Ruqi Huang, Qionghai Dai:
Optical Neural Ordinary Differential Equations. CoRR abs/2209.12898 (2022) - 2021
- [c2]Yaping Zhao, Mengqi Ji, Ruqi Huang, Bin Wang, Shengjin Wang:
EFENet: Reference-Based Video Super-Resolution with Enhanced Flow Estimation. CICAI 2021: 371-383 - [i3]Yaping Zhao, Mengqi Ji, Ruqi Huang, Bin Wang, Shengjin Wang:
EFENet: Reference-based Video Super-Resolution with Enhanced Flow Estimation. CoRR abs/2110.07797 (2021) - 2020
- [j5]Ruqi Huang, Jing Ren, Peter Wonka, Maks Ovsjanikov:
Consistent ZoomOut: Efficient Spectral Map Synchronization. Comput. Graph. Forum 39(5): 265-278 (2020)
2010 – 2019
- 2019
- [j4]Ruqi Huang, Panos Achlioptas, Leonidas J. Guibas, Maks Ovsjanikov:
Limit Shapes - A Tool for Understanding Shape Differences and Variability in 3D Model Collections. Comput. Graph. Forum 38(5): 187-202 (2019) - [c1]Ruqi Huang, Marie-Julie Rakotosaona, Panos Achlioptas, Leonidas J. Guibas, Maks Ovsjanikov:
OperatorNet: Recovering 3D Shapes From Difference Operators. ICCV 2019: 8587-8596 - [i2]Ruqi Huang, Marie-Julie Rakotosaona, Panos Achlioptas, Leonidas J. Guibas, Maks Ovsjanikov:
OperatorNet: Recovering 3D Shapes From Difference Operators. CoRR abs/1904.10754 (2019) - 2018
- [j3]Ruqi Huang, Frédéric Chazal, Maks Ovsjanikov:
On the Stability of Functional Maps and Shape Difference Operators. Comput. Graph. Forum 37(1): 145-158 (2018) - [i1]Ruqi Huang, Panos Achlioptas, Leonidas J. Guibas, Maks Ovsjanikov:
Latent Space Representation for Shape Analysis and Learning. CoRR abs/1806.03967 (2018) - 2017
- [j2]Ruqi Huang, Maks Ovsjanikov:
Adjoint Map Representation for Shape Analysis and Matching. Comput. Graph. Forum 36(5): 151-163 (2017) - 2016
- [b1]Ruqi Huang:
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). University of Paris-Saclay, France, 2016 - 2015
- [j1]Frédéric Chazal, Ruqi Huang, Jian Sun:
Gromov-Hausdorff Approximation of Filamentary Structures Using Reeb-Type Graphs. Discret. Comput. Geom. 53(3): 621-649 (2015)
Coauthor Index
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