Dr. Tao Hu 胡濤博士

School of Computing
National University of Singapore (NUS)

Email 1: taohu AT NUS DOT EDU DOT SG
Email 2: yihouxiang AT gmail DOT com

Biography [CV]

I am currently a Research Manager (Post-Doctor) in National University of Singapore (NUS), School of Computing, in which I am working with Prof. Gim Hee Lee in 3D Computer Vision. Before that, I received the Doctor's Degree at Computer Science & Engineering Department, The Chinese University of Hong Kong (CUHK), under the supervision of Prof. Jiaya Jia. I obtained the Master degree in Computer Science, University of Chinese Academy of Sciences (UCAS) in 2019, supervised by Prof. Honggang Qi. I received the Bachelor degree in Automation Engineering from University of Electronic Science and Technology of China (UESTC) in 2016.

Recently, I founded RealityEdge which combines Large Model with Interaction for creative work.

My current research interests includes primarily in 3D Computer Vision and Graphics, particularly focusing on:

Neural Radiance Fields (NeRF), 2D image / 3D Scene Synthesis, 3D Rendering and Reconstruction.

Recent News

April, 2024	X-Ray: We released a novel representation for 3D Generation from text or image.
Match, 2024	One paper was accepted in CVPR-2024.
October, 2023	Ref-NeuS: Our paper was selected as one of the Best Paper Candidates by ICCV PCs!
July, 2023	Ref-NeuS: One Oral paper was accepted by ICCV-2023 about 3D Object Reconstruction!
April, 2023	ReTryOn: We released the application of Virtual TryOn within 10 seconds!
March, 2023	RealityComposition: We released the source code of compositing images via Stable Diffusion!
March, 2023	CVPR-2023: Our three papers were accepted by CVPR-2023!

Selected Publications [Google Scholar]

	Boosting Image Restoration via Priors from Pre-trained Models. Xiaogang Xu, Shu Kong, Tao Hu, Zhe Liu, Hujun Bao. CVPR-2024 Poster [paper]
	Ref-NeuS: Ambiguity-Reduced Neural Implicit Surface Learning for Multi-View Reconstruction with Reflection. Wenhang Ge, Tao Hu, Haoyu Zhao, Shu Liu, Ying-Cong Chen. ICCV-2023 Oral + Best Paper Candidate [paper\|Project]
	TriVol: Point Cloud Rendering via Triple Volumes. Tao Hu, Xiaogang Xu, Ruihang Chu, Jiaya Jia. CVPR-2023 [paper\|code]
	Point2Pix: Photo-Realistic Point Cloud Rendering via Neural Radiance Fields. Tao Hu, Xiaogang Xu, Shu Liu, Jiaya. CVPR-2023 [paper]
	NeRFLix: High-Quality Neural View Synthesis by Learning a Degradation-Driven Inter-viewpoint MiXer. Zhou Kun, Wenbo Li, Yi Wang, Tao Hu, Nianjuan Jiang, Xiaoguang Han, Jiangbo Lu. CVPR-2023 [paper\|Project]
	EfficientNeRF: Efficient Neural Radiance Fields. Tao Hu, Shu Liu, Yilun Chen, Tianchen Shen, Jiaya Jia. CVPR-2022 [paper\|code]
	Self-Supervised 3D Mesh Reconstruction from Single Images. Tao Hu, Liwei Wang, Xiaogang Xu, Shu Liu, Jiaya Jia. CVPR-2021 [paper\|code]
	See better before looking closer: Weakly supervised data augmentation network for fine-grained visual classification. Tao Hu, Honggang Qi, Qingming Huang, Yu Lu. arXiv:1901.09891 [paper\|code]
	Weakly Supervised Local Attention Network for Fine-Grained Visual Classification. Tao Hu, Honggang Qi , Cong Huang , Qingming Huang ,Yan Lu ,Jizheng Xu. arXiv:1808.02152 [paper\|code]
	Facial landmarks detection by self-iterative regression based landmarks-attention network. Tao Hu, Honggang Qi, Jizheng Xu, Qingming Huang. AAAI-2018 [paper]
	UA-DETRAC 2017: Report of AVSS2017 & IWT4S challenge on advanced traffic monitoring. Siwei Lyu, Ming-Ching Chang, Dawei Du, Longyin Wen, Honggang Qi, Yuezun Li, Yi Wei, Lipeng Ke, Tao Hu, Marco Del Coco.. AVSS-2017 [paper\|Homepage]

Experiences

Jan. 2018 - Oct. 2018, Microsoft Research Asia (MSRA)
Internship, Mentor: Dr. Jizheng Xu, Dr. Yan Lu

Aug. 2019 - Mar. 2020, Tencent Co.,Ltd.
Internship, Supervisor: Dr. Shu Liu

Honors and Awards

Postgraduate Scholarship, CUHK, 2019-2023
Won the Runner-up prize in the JDD pig face recognition Challenge.
National Encouragement Scholarship, Beijing, 2013 and 2015

Professional Services

Conference Services:
IEEE Conference on Computer Vision and Pattern Recognition (CVPR’20-23)
IEEE International Conference on Computer Vision (ICCV’19,21)
European Conference on Computer Vision (ECCV’20)

Journal Reviews:
PATTERN RECOGNITION (PR)

Teaching

2021-2022	Spring	ENGG5104: Image Processing and Computer Vision
2019-2020	Fall	CSCI1130: Introduction to Computing Using Java
2019-2020	Spring	CSCI3310: Mobile Computing and Applications Development

	Boosting Image Restoration via Priors from Pre-trained Models. Xiaogang Xu, Shu Kong, Tao Hu, Zhe Liu, Hujun Bao. CVPR-2024 Poster [paper]
	Ref-NeuS: Ambiguity-Reduced Neural Implicit Surface Learning for Multi-View Reconstruction with Reflection. Wenhang Ge, Tao Hu, Haoyu Zhao, Shu Liu, Ying-Cong Chen. ICCV-2023 Oral + Best Paper Candidate [paper\|Project]
	TriVol: Point Cloud Rendering via Triple Volumes. Tao Hu, Xiaogang Xu, Ruihang Chu, Jiaya Jia. CVPR-2023 [paper\|code]
	Point2Pix: Photo-Realistic Point Cloud Rendering via Neural Radiance Fields. Tao Hu, Xiaogang Xu, Shu Liu, Jiaya. CVPR-2023 [paper]
	NeRFLix: High-Quality Neural View Synthesis by Learning a Degradation-Driven Inter-viewpoint MiXer. Zhou Kun, Wenbo Li, Yi Wang, Tao Hu, Nianjuan Jiang, Xiaoguang Han, Jiangbo Lu. CVPR-2023 [paper\|Project]
	EfficientNeRF: Efficient Neural Radiance Fields. Tao Hu, Shu Liu, Yilun Chen, Tianchen Shen, Jiaya Jia. CVPR-2022 [paper\|code]
	Self-Supervised 3D Mesh Reconstruction from Single Images. Tao Hu, Liwei Wang, Xiaogang Xu, Shu Liu, Jiaya Jia. CVPR-2021 [paper\|code]
	See better before looking closer: Weakly supervised data augmentation network for fine-grained visual classification. Tao Hu, Honggang Qi, Qingming Huang, Yu Lu. arXiv:1901.09891 [paper\|code]
	Weakly Supervised Local Attention Network for Fine-Grained Visual Classification. Tao Hu, Honggang Qi , Cong Huang , Qingming Huang ,Yan Lu ,Jizheng Xu. arXiv:1808.02152 [paper\|code]
	Facial landmarks detection by self-iterative regression based landmarks-attention network. Tao Hu, Honggang Qi, Jizheng Xu, Qingming Huang. AAAI-2018 [paper]
	UA-DETRAC 2017: Report of AVSS2017 & IWT4S challenge on advanced traffic monitoring. Siwei Lyu, Ming-Ching Chang, Dawei Du, Longyin Wen, Honggang Qi, Yuezun Li, Yi Wei, Lipeng Ke, Tao Hu, Marco Del Coco.. AVSS-2017 [paper\|Homepage]