Tianxin Huang

School of Computing
National University of Singapore (NUS)

Email 1: huangtx AT NUS DOT EDU DOT SG
Email 2: 21725129 AT zju DOT edu DOT cn

Biography [CV]

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.

Recent News

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!

Selected Publications [Google Scholar]

	Zero-shot Point Cloud Completion Via 2D Priors. Tianxin Huang, Zhiwen Yan, Yuyang Zhao, Gim Hee Lee. Arxiv [paper]
	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 [paper\|Code]
	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 [paper\|code]
	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 [paper]code]
	Resolution-free Point Cloud Sampling Network with Data Distillation. Tianxin Huang, Jiangning Zhang, Jun Chen, Yuang Liu, Yong Liu. ECCV-2022 [paper\|Project]
	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 [paper\|code]
	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]
	Fast Point Cloud Sampling Network. Tianxin Huang, Jun Chen, Jiangning Zhang, Yong Liu, Jie Liang. Pattern Recognition Letters [paper\|code]
	Learnable Chamfer Distance for Point Cloud Reconstruction. Tianxin Huang, Qingyao Liu, Xiangrui Zhao, Jun Chen, Yong Liu. Pattern Recognition Letters [paper\|code]
	Deep Residual Surrogate Model. Tianxin Huang, Zaisheng Pan, Yong Liu. INFORMATION SCIENCES [paper\|code]
	3D Point Cloud Geometry Compression on Deep Learning. Tianxin Huang, Yong Liu. ACM MM 2019 Oral [paper]

Experiences

Feb. 2022 - Feb. 2023, Tencent Youtu.,Ltd.
Internship, worked with: Dr. Zhenyu Zhang and Dr. Ying Tai

Professional Services

Conference Services:
IEEE Conference on Computer Vision and Pattern Recognition (CVPR)
IEEE International Conference on Computer Vision (ICCV)
Annual Conference on Neural Information Processing Systems (NeurIPS)
The British Machine Vision Conference (BMVC)
International Conference on Intelligent Robots and Systems (IROS)
ACM SIGGRAPH Asia

Journal Reviews:
IEEE Transaction on Multimedia (TMM)
IEEE Transactions on Intelligent Vehicles (TIV)
IEEE Transactions on Neural Networks and Learning Systems (TNNLS)
ACM Transactions on Multimedia Computing Communications and Applications (TOMM)
IEEE Transactions on Pattern Analysis and Machine Intelligence (TPAMI)
Journal of Field Robotics (JFR)

Talking

2020-2021

The First International Forum on 3D Optical Sensing and Applications

3D POINT CLOUD GEOMETRY COMPRESSION BASED ON DEEP LEARNING

	Zero-shot Point Cloud Completion Via 2D Priors. Tianxin Huang, Zhiwen Yan, Yuyang Zhao, Gim Hee Lee. Arxiv [paper]
	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 [paper\|Code]
	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 [paper\|code]
	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 [paper]code]
	Resolution-free Point Cloud Sampling Network with Data Distillation. Tianxin Huang, Jiangning Zhang, Jun Chen, Yuang Liu, Yong Liu. ECCV-2022 [paper\|Project]
	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 [paper\|code]
	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]
	Fast Point Cloud Sampling Network. Tianxin Huang, Jun Chen, Jiangning Zhang, Yong Liu, Jie Liang. Pattern Recognition Letters [paper\|code]
	Learnable Chamfer Distance for Point Cloud Reconstruction. Tianxin Huang, Qingyao Liu, Xiangrui Zhao, Jun Chen, Yong Liu. Pattern Recognition Letters [paper\|code]
	Deep Residual Surrogate Model. Tianxin Huang, Zaisheng Pan, Yong Liu. INFORMATION SCIENCES [paper\|code]
	3D Point Cloud Geometry Compression on Deep Learning. Tianxin Huang, Yong Liu. ACM MM 2019 Oral [paper]