Dr. Tianxin Huang 黄田鑫博士
School of Computing |
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I am currently a Research Fellow (Postdoc) in National University of Singapore (NUS), School of Computing, in which I am in collaboration with Prof. Gim Hee Lee in 3D Computer Vision. Before that, I received the Doctor's Degree at April Lab, Zhejiang University (ZJU), under the supervision of Prof. Yong Liu. I received the Bachelor degree in Mechanical Engineering from Xi'an Jiaotong University (XJTU) in 2017. My current research interests includes but not limited on:
3D Point Cloud Analysis, 3D Face Reconstruction, Neural Rendering.
Sep, 2024 | Three papers (Deface, FreeSplat, VCR-Gaus) are accepted by NeurIPS 2024! Congratulation to all the co-authors! |
March, 2024 | Two papers are accepted by CVPR 2024! |
June, 2023 | I join the group led by Gim Hee Lee as a Research Fellow (Postdoc)! |
March, 2023 | One paper is accepted by CVPR 2023! |
Zero-shot Point Cloud Completion Via 2D Priors.
Tianxin Huang, Zhiwen Yan, Yuyang Zhao, Gim Hee Lee.
Arxiv
[paper]
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3QNet: 3D Point Cloud Geometry Quantization Compression Network.
Tianxin Huang, Jiangning Zhang, Jun Chen, Zhonggan Ding, Ying Tai, Zhenyu Zhang, Chengjie Wang, Yong Liu.
Siggraph Asia'22/TOG
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Learning to Measure the Point Cloud Reconstruction Loss in a Representation Space.
Tianxin Huang, Zhonggan Ding, Jiangning Zhang, Ying Tai, Zhenyu Zhang, Mingang Chen, Chengjie Wang, Yong Liu.
CVPR-2023
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Learning to Train a Point Cloud Reconstruction Network without Matching.
Tianxin Huang, Xuemeng Yang, Jiangning Zhang, Jinhao Cui, Hao Zou, Jun Chen, Xiangrui Zhao, Yong Liu.
ECCV-2022
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Resolution-free Point Cloud Sampling Network with Data Distillation.
Tianxin Huang, Jiangning Zhang, Jun Chen, Yuang Liu, Yong Liu.
ECCV-2022
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RFNet: Recurrent Forward Network for Dense Point Cloud Completion.
Tianxin Huang, Hao Zou, Jinhao Cui, Xuemeng Yang, Mengmeng Wang, Xiangrui Zhao, Jiangning ZHang, Yi Yuan, Yifan Xu, Yong Liu.
ICCV-2021
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Adaptive Recurrent Forward Network for Dense Point Cloud Completion.
Tianxin Huang, Hao Zou, Jinhao Cui, Jiangning Zhang, Xuemeng Yang, Lin Li, Yong Liu.
IEEE Transaction on Multimedia
[paper|code]
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Fast Point Cloud Sampling Network.
Tianxin Huang, Jun Chen, Jiangning Zhang, Yong Liu, Jie Liang.
Pattern Recognition Letters
[paper|code]
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Learnable Chamfer Distance for Point Cloud Reconstruction.
Tianxin Huang, Qingyao Liu, Xiangrui Zhao, Jun Chen, Yong Liu.
Pattern Recognition Letters
[paper|code]
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Deep Residual Surrogate Model.
Tianxin Huang, Zaisheng Pan, Yong Liu.
INFORMATION SCIENCES
[paper|code]
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3D Point Cloud Geometry Compression on Deep Learning.
Tianxin Huang, Yong Liu.
ACM MM 2019 Oral
[paper]
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Feb. 2022 - Feb. 2023, Tencent Youtu.,Ltd. Internship, worked with: Dr. Zhenyu Zhang and Dr. Ying Tai |
2020-2021 | The First International Forum on 3D Optical Sensing and Applications | 3D POINT CLOUD GEOMETRY COMPRESSION BASED ON DEEP LEARNING |