Ying Tai(邰颖)

Ying Tai(邰颖)

I am a Researcher and Team Lead at Tencent Youtu Lab, where I work on computer vision and machine learning.

I got my Ph.D. degree from the Department of Computer Science and Engineering, Nanjing University of Science & Technology (NUST) in 2017, and my advisor is Prof. Jian Yang. In 2016, I spent 6 wonderful months as a visiting student at Prof. Xiaoming Liu's lab in Michigan State University.

Most of my works have released codes in [TencentYoutuResearch], with over 4.0K stars and 750 forks.

Email / Google Scholar / Github / Scopus / LinkedIn

Recent news

11/2022 – 3 papers accepted by CVPR'23
11/2022 – 2 papers accepted by AAAI'23 (1 Oral and 1 Poster)
09/2022 – 1 paper accepted by ACM Transactions on Graphics 2022
07/2022 – 5 papers accepted by ECCV'22
06/2022 – Our CDSR on blind super resolution is accepted by ACM MM'22, with the acceptance rate to be 27.9%
06/2022 – Our AutoGAN-Synthesizer on MRI reconstruction is accepted by MICCAI'22
05/2022 – I will be Area Chairs for WACV 2023 and FG 2023
04/2022 – Our HifiHead on high-fidelity Neural Head Synthesis is accepted by IJCAI'22, with the acceptance rate to be 15%
03/2022 – Our face recognition work CurricularFace (CVPR'20) is inlcuded in 2022 AI index report from Stanford University
03/2022 – 5 papers accepted by CVPR'22, with the acceptance rate to be 25.3%
03/2022 – First Prize of Progress in Science and Technology of Jiangsu Province (4/11), “Image restoration and robust recognition: theory and algorithms”
02/2022 – I will be an Area Chair for ECCV 2022
12/2021 – 3 papers accepted by AAAI'22 (1 Oral and 2 Posters), with the acceptance rate to be 15%
09/2021 – 2 papers on blind SR and ViT accepted by NeurIPS'21, with the acceptance rate to be 26%
07/2021 – 2 papers on crowd counting accepted by ICCV'21 (1 Oral and 1 Poster), with the acceptance rate to be 25.9%
07/2021 – Our ASFD on face detection is accepted by ACM MM'21
04/2021 – 4 papers accepted by IJCAI'21, with the acceptance rate to be 13.9%
04/2021 – Our Team Imagination is the winner of CVPR NTIRE 2021 Challenge on Video Spatial-Temporal Super-Resolution
03/2021 – 3 papers accepted by CVPR'21 (1 Oral and 2 Posters), with the acceptance rate to be 23.7%
12/2020 – 4 papers accepted by AAAI'21, with the acceptance rate to be 21%
09/2020 – Training codes of RealSR are available in Tencent official github account [Tencent-RealSR].
07/2020 – 6 papers accepted by ECCV'20, with the acceptance rate to be 27%
05/2020 – Our RealSR model (Team name: Impressionism) won both tracks of CVPR NTIRE 2020 Challenge on Real-World Super-Resolution
02/2020 – 3 papers accepted by CVPR'20, with the acceptance rate to be 22.1%
11/2019 – 2 papers (Action Proposal & Action Recognition) accepted by AAAI'20, with the acceptance rate to be 20.6%. The code of our DBG is released at [ActionDetection-DBG], which achieves Top 1 performance on ActivityNet Challenge 2019 on Temporal Action Proposals
02/2019 – Our DSFD on face detection is accepted by CVPR'19, with the acceptance rate to be 25.2%
11/2018 – 2 papers (face alignement & adaptive metric learning) accepted by AAAI'19, with the acceptance rate to be ONLY 16.2%
10/2018 – We released a novel Dual Shot Face Detector (DSFD) framework that achieves Top 1 performance on all FIVE settings of WIDER FACE (Easy/Medium/Hard) and FDDB (Discrete/Continuous) datasets
07/2018 – 1 paper accepted by ECCV'18
02/2018 – 1 paper accepted by CVPR'18 （SPOTLIGHT Presentation）
07/2017 – 1 paper accepted by ICCV'17 (SPOTLIGHT Presentation)
03/2017 – 1 paper accepted by CVPR'17

Preprints (* equal contribution, ^# corresponding author)

	CtlGAN: Few-shot Artistic Portraits Generation with Contrastive Transfer Learning Y. Wang, R. Yi, Y. Tai, C. Wang, and L. Ma. arXiv, 2022 arXiv
	STC: Spatio-Temporal Contrastive Learning for Video Instance Segmentation Z. Jiang, Z. Gu, J. Peng, H. Zhou, L. Liu, Y. Wang, Y. Tai, C. Wang, L. Zhang. arXiv, 2022 arXiv
	CFNet: Learning Correlation Functions for One-Stage Panoptic Segmentation Y. Chen, W. Chu, F. Wang, Y. Tai, R. Yi, Z. Gan, L. Yao, C. Wang and X. Li. arXiv, 2022 arXiv
	Collaborative Learning for Faster StyleGAN Embedding S. Guan, Y. Tai, B. Ni, F. Zhu, F. Huang and X. Yang. arXiv, 2020 arXiv
	Aurora Guard: Reliable Face Anti-Spoofing via Mobile Lighting System J. Zhang, Y. Tai, T. Yao, J. Meng, S. Ding, C. Wang, J. Li, F. Huang and R. Ji. arXiv, 2021 arXiv

Publications (* equal contribution, ^# corresponding author)

	High-resolution Iterative Feedback Network for Camouflaged Object Detection X. Hu, S. Wang, X. Qian, H. Dai, W. Ren, D. Luo, Y. Tai, and L. Shao AAAI Conference on Artificial Intellige (AAAI), 2023 Paper (coming soon)
	High-Resolution GAN Inversion for Degraded Images in Large Diverse Datasets Y. Wang, C. Lin, D. Luo, Y. Tai, Z. Zhang and Y. Xie AAAI Conference on Artificial Intellige (AAAI), 2023 [Oral] Paper (coming soon)
	3QNet: 3D Point Cloud Geometry Quantization Compression Network T. Huang, J. Zhang, J. Chen, Z. Ding, Y. Tai, Z. Zhang, C. Wang, and Y. Liu ACM Transactions on Graphics, 2022 Paper
	ColorFormer: Image Colorization via Color Memory assisted Hybrid-attention Transformer X. Ji, B. Jiang, D. Luo, G. Tao, W. Chu, Y. Tai^#, Z. Xie, and C. Wang^# European Conference on Computer Vision (ECCV), 2022 Paper / Supp / Code (coming soon)
	StyleFace: Towards Identity-Disentangled Face Generation on Megapixels Y. Luo, J. Yan, J. Zhu, K. He, W. Chu, Y. Tai, and C. Wang European Conference on Computer Vision (ECCV), 2022 Paper / Supp
	Designing One Unified Framework for High-Fidelity Face Reenactment and Swapping C. Xu, J. Zhang, Y. Han, G. Tian, X. Zeng, Y. Tai, Y. Wang, C. Wang, and Y. Liu European Conference on Computer Vision (ECCV), 2022 Paper / Supp / Code (coming soon)
	SeedFormer: Patch Seeds based Point Cloud Completion with Upsample Transformer H. Zhou, Y. Cao, W. Chu, J. Zhu, L. Tong, Y. Tai, and C. Wang European Conference on Computer Vision (ECCV), 2022 Paper (arXiv) / Supp / Code
	Prototypical Contrast Adaptation for Domain Adaptive Semantic Segmentation Z. Jiang, Y. Li, C. Yang, P. Gao, Y. Wang, Y. Tai, and C. Wang European Conference on Computer Vision (ECCV), 2022 Paper (arXiv) / Code
	Joint Learning Content and Degradation Aware Feature for Blind Super-Resolution Y. Zhou, C. Lin, D. Luo, Y. Liu, Mingang Chen, Y. Tai^#, and C. Wang^# ACM International Conference on Multimedia (ACM MM), 2022 Paper (arXiv)
	AutoGAN-Synthesizer: Neural Architecture Searchfor Cross-Modality MRI Synthesis X. Hu, R. Shen, D. Luo, Y. Tai, C. Wang, and B. Menze International Conference on Medical Image Computing and Computer Assisted Intervention (MICCAI), 2022 Paper (official link) / Code
	HifiHead: One-Shot High Fidelity Neural Head Synthesis with 3D Control F. Zhu, J. Zhu, W. Chu, Y. Tai^#, Z. Xie, X. Huang, and C. Wang^#. International Joint Conference on Artificial Intelligence (IJCAI), 2022 Paper
	Blind Face Restoration via Integrating Face Shape and Generative Priors F. Zhu, J. Zhu, W. Chu, X. Zhang, X. Ji, C. Wang^#, and Y. Tai^#. Computer Vision and Pattern Recognition (CVPR), 2022 Paper / Supp / Code
	IFRNet: Intermediate Feature Refine Network for Efficient Frame Interpolation L. Kong, B. Jiang, D. Luo, W. Chu, X. Huang, Y. Tai, C. Wang, and J. Yang. Computer Vision and Pattern Recognition (CVPR), 2022 Paper / Supp / Code
	Physically-guided Disentangled Implicit Rendering for 3D Face Modeling Z. Zhang, Y. Ge, Y. Tai, W. Cao, R. Chen, K. Liu, H. Tang, X. Huang, C. Wang, Z. Xie, and D. Huang. Computer Vision and Pattern Recognition (CVPR), 2022 Paper / Supp
	Learning to Restore 3D Face from In-the-Wild Degraded Images Z. Zhang, Y. Ge, Y. Tai, X. Huang, C. Wang, H. Tang, D. Huang, and Z. Xie. Computer Vision and Pattern Recognition (CVPR), 2022 Paper / Supp
	Learning to Memorize Feature Hallucination for One-Shot Image Generation Y. Xie, Y. Fu, J. Zhu, Y. Tai, Y. Cao, and C. Wang. Computer Vision and Pattern Recognition (CVPR), 2022 Paper
	DIRL: Domain-invariant Representation Learning for Generalizable Semantic Segmentation Q. Xu, L. Yao, Z. Jiang, G. Jiang, W. Chu, W. Han, W. Zhang, C. Wang, and Y. Tai^#. AAAI Conference on Artificial Intellige (AAAI), 2022 [Oral] Paper
	SCSNet: Simultaneously Image Colorization and Super-Resolution J. Zhang, C. Xu, Y. Han, J. Li, Y. Wang, Y. Tai, C. Wang, F. Huang, Z. Xie, and Y. Liu. AAAI Conference on Artificial Intellige (AAAI), 2022 Paper
	LCTR: On Awakening the Local Continuity of Transformer for Weakly Supervised Object Localization Z. Chen, C. Wang, Y. Wang, G. Jiang, Y. Shen, Y. Tai, C. Wang, W. Zhang, and L. Cao. AAAI Conference on Artificial Intellige (AAAI), 2022 Paper
	Spectrum-to-Kernel Translation for Accurate Blind Image Super-Resolution G. Tao, X. Ji, W. Wang, S. Chen, C. Lin, Y. Cao, T. Lu, D. Luo, and Y. Tai. Thirty-fifth Conference on Neural Information Processing Systems (NeurIPS), 2021 arXiv A novel framework S2K that predicts the kernel from spectrum in frequency domain
	Analogous to Evolutionary Algorithm: Designing a Unified Sequence Model J. Zhang, C. Xu, J. Li, W. Chen, Y. Wang, Y. Tai, S. Chen, C. Wang, F. Huang and R. Liu. Thirty-fifth Conference on Neural Information Processing Systems (NeurIPS), 2021 arXiv / Code An interesting viewpoint between EA and Transfomer, and propose an EA based Transformer framework for both NLP and CV tasks
	Rethinking Counting and Localization in Crowds: A Purely Point-Based Framework Q. Song, C. Wang, Z. Jiang, Y. Wang, Y. Tai, C. Wang, J. Li, F. Huang and Y. Wu. International Conference on Computer Vision (ICCV), 2021 [Oral] arXiv / Code We propose a novel simple and elegant framework for crowd counting, which directly predicts the crowd location instead of using density map estimation adopted in most previous methods.
	Uniformity in Heterogeneity: Diving Deep into Count Interval Partition for Crowd Counting C. Wang, Q. Song, B. Zhang, Y. Wang, Y. Tai, X. Hu, C. Wang, J. Li, J. Ma, and Y. Wu. International Conference on Computer Vision (ICCV), 2021 arXiv / Code
	ASFD: Automatic and Scalable Face Detector J. Li, B. Zhang, Y. Wang, Y. Tai, Z. Zhang, C. Wang, J. Li, X. Huang and Y. Xia. ACM International Conference on Multimedia (ACM MM), 2021 arXiv Ranked No. 1 on WIDER FACE
	HifiFace: 3D Shape and Semantic Prior Guided High Fidelity Face Swapping Y. Wang, X. Chen, J. Zhu, W. Chu, Y. Tai^#, C. Wang, J. Li, Y. Wu, F. Huang and R. Ji. International Joint Conference on Artificial Intelligence (IJCAI), 2021 arXiv / Project / Poster / Video (1min)
	Context-Aware Image Inpainting with Learned Semantic Priors W. Zhang, J. Zhu, Y. Tai, Y. Wang, W. Chu, B. Ni, C. Wang and X. Yang. International Joint Conference on Artificial Intelligence (IJCAI), 2021 arXiv / Extended journal version / Code (Official)
	Dual Reweighting Domain Generalization for Face Presentation Attack Detection S. Liu, K. Zhang, T. Yao, K. Sheng, S. Ding, Y. Tai, J. Li, Y. Xie and L. Ma. International Joint Conference on Artificial Intelligence (IJCAI), 2021 arXiv
	SiamRCR: Reciprocal Classification and Regression for Visual Object Tracking J. Peng, Z. Jiang, Y. Gu, Y. Wu, Y. Wang, Y. Tai, C. Wang and W. Lin. International Joint Conference on Artificial Intelligence (IJCAI)*, 2021 arXiv
	Learning to Aggregate and Personalize 3D Face from In-the-Wild Photo Collection Z. Zhang, Y. Ge, R. Chen, Y. Tai, Y. Yan, J. Yang, C. Wang, J. Li, and F. Huang. Computer Vision and Pattern Recognition (CVPR), 2021 [Oral] Paper / Code (Official)
	Learning Salient Boundary Feature for Anchor-free Temporal Action Localization C. Lin, C. Xu, D. Luo, Y. Wang, Y. Tai, C. Wang, J. Li, F. Huang and Y. Fu. Computer Vision and Pattern Recognition (CVPR), 2021 arXiv / Paper / Code (Official)
	Learning to Restore Hazy Video: A New Real-World Dataset and A New Method X. Zhang, H. Dong, J. Pan, C. Zhu, Y. Tai, C. Wang, J. Li, F. Huang and F. Wang. Computer Vision and Pattern Recognition (CVPR), 2021 Paper
	Frequency Consistent Adaptation for Real World Super Resolution X. Ji, G. Tao, Y. Cao, Y. Tai, T. Lu, C. Wang, J. Li, and F. Huang. AAAI Conference on Artificial Intelligence (AAAI), 2021 arXiv Improved version of our prior work RealSR
	Learning Comprehensive Motion Representation for Action Recognition M. Wu, B. Jiang, D. Luo, J. Yan, Y. Wang, Y. Tai, C. Wang, J. Li, F. Huang, and X. Yang. AAAI Conference on Artificial Intelligence (AAAI), 2021 arXiv / Code (Official) Extented version of our prior works TEINet and TDRL
	Generalizable Representation Learning for Mixture Domain Face Anti-Spoofing Z. Chen, T. Yao, K. Sheng, S. Ding, Y. Tai, J. Li, F. Huang, and X. Jin. AAAI Conference on Artificial Intelligence (AAAI), 2021 arXiv
	To Choose or to Fuse? Scale Selection for Crowd Counting Q. Song, C. Wang, Y. Wang, Y. Tai, C. Wang, J. Li, J. Wu, and J. Ma. AAAI Conference on Artificial Intelligence (AAAI), 2021 Paper / Code (Official)
	FAN: Feature Adaptation Network for Surveillance Face Recognition and Normalization X. Yin, Y. Tai, Y. Huang and X. Liu. Asian Conference on Computer Vision (ACCV), 2020 Paper Novel framework to improve surveillance face recognition & normalization from unpaired data
	Improving Face Recognition from Hard Samples via Distribution Distillation Loss Y. Huang, P. Shen, Y. Tai^#, S. Li^#, X. Liu, J. Li, F. Huang, and R. Ji. European Conference on Computer Vision (ECCV), 2020 arXiv / Paper (Official) / Code (Official)
	SSCGAN: Facial Attribute Editing via Style Skip Connections W. Chu, Y. Tai^#, C. Wang, J. Li, F. Huang, and R. Ji. European Conference on Computer Vision (ECCV), 2020 Paper (Official)
	Face Anti-Spoofing via Disentangled Representation Learning K. Zhang, T. Yao, J. Zhang, Y. Tai^#, S. Ding, J. Li, F. Huang, H. Song and L. Ma. European Conference on Computer Vision (ECCV), 2020 Paper (Official)
	Chained-Tracker: Chaining Paired Attentive Regression Results for End-to-End Joint Multiple-Object Detection and Tracking J. Peng, C. Wang, F. Wan, Y. Wu, Y. Wang, Y. Tai, C. Wang, J. Li, F. Huang and Y. Fu. European Conference on Computer Vision (ECCV), 2020 [Spotlight] arXiv / Paper (Official) / Code (Official)
	Temporal Distinct Representation Learning for 2D-CNN-based Action Recognition J. Weng, D. Luo, Y. Wang, Y. Tai, C. Wang, J. Li, F. Huang, X. Jiang and J. Yuan. European Conference on Computer Vision (ECCV), 2020 Paper (Official)
	Adversarial Semantic Data Augmentation for Human Pose Estimation Y. Bin, X. Cao, X. Chen, Y. Ge, Y. Tai, C. Wang, J. Li, F. Huang, C. Gao and N. Sang. European Conference on Computer Vision (ECCV), 2020 arXiv / Paper (Official) / Code (Official) State-of-the-art performance on MPII and LSP
	Real-World Super-Resolution via Kernel Estimation and Noise Injection X. Ji, Y. Cao, Y. Tai^#, C. Wang, J. Li, and F. Huang. Computer Vision and Pattern Recognition Workshop (CVPRW), 2020 Paper / Code (Tencent) / Code (Personal) / Code (NCNN-vulkan) / OpenBenchmarking.org / Challenge Report Winner of CVPR NTIRE 2020 Challenge on Real-World Super-Resolution
	CurricularFace: Adaptive Curriculum Learning Loss for Deep Face Recognition Y. Huang, Y. Wang, Y. Tai^#, X. Liu, P. Shen, S. Li^#, J. Li, and F. Huang. Computer Vision and Pattern Recognition (CVPR), 2020 Paper (Official) / Code
	Learning by Analogy: Reliable Supervision from Transformations for Unsupervised Optical Flow Estimation L. Liu, J. Zhang, Y. Liu, Y. Wang, Y. Tai, D. Luo, C. Wang, J. Li, and F. Huang. Computer Vision and Pattern Recognition (CVPR), 2020 Paper (Official) / Code
	Learning Multi-Granular Hypergraphs for Video-Based Person Re-Identification Y. Yan, J. Qin, J. Chen, L. Liu, F. Zhu, Y. Tai, and L. Shao. Computer Vision and Pattern Recognition (CVPR), 2020 Paper (Official) / Code
	Fast Learning of Temporal Action Proposal via Dense Boundary Generator C. Lin, J. Li, Y. Wang, Y. Tai, D. Luo, Z. Cui, C. Wang, J. Li, F. Huang and R. Ji. AAAI Conference on Artificial Intelligence (AAAI), 2020 arXiv / Code Ranked No. 1 on ActivityNet Challenge 2019 on Temporal Action Proposals
	TEINet: Towards an Efficient Architecture for Video Recognition Z. Liu, D. Luo, Y. Wang, L. Wang, Y. Tai, C. Wang, J. Li, F. Huang and T. Lu. AAAI Conference on Artificial Intelligence (AAAI), 2020 arXiv
	DSFD: Dual Shot Face Detector J. Li, Y. Wang, C. Wang, Y. Tai, J. Qian, J. Yang, C.e Wang, J. Li and F. Huang. Computer Vision and Pattern Recognition (CVPR), 2019 arXiv / Paper (Official) / Code Ranked No. 1 on WIDER FACE and FDDB (Until 2019.01)
	Towards Highly Accurate and Stable Face Alignment for High-Resolution Videos Y. Tai, Y. Liang, X. Liu, L. Duan, J. Li, C. Wang, F. Huang and Y. Chen. AAAI Conference on Artificial Intelligence (AAAI), 2019 arXiv / Paper (Official) / Supp / Code
	Data-Adaptive Metric Learning with Scale Alignment S. Chen, C. Gong, J. Yang, Y. Tai, L. Hui and J. Li. AAAI Conference on Artificial Intelligence (AAAI), 2019 Paper (Official)
	Person Search via A Mask-Guided Two-Stream CNN Model D. Chen, S. Zhang, W. Ouyang, J. Yang and Y. Tai. European Conference on Computer Vision (ECCV), 2018 Paper / Poster
	FSRNet: End-to-End Learning Face Super-Resolution with Facial Priors Y. Tai, Y. Chen, X. Liu, C. Shen, J. Yang. Computer Vision and Pattern Recognition (CVPR), 2018 [Spotlight] Paper (Official) / arXiv / Code / Demo / Slides / Poster
	MemNet: A Persistent Memory Network for Image Restoration Y. Tai, J. Yang, X. Liu, C. Xu. International Conference on Computer Vision (ICCV), 2017 [Spotlight] Paper / Code / Poster / '15 most influential papers' in ICCV 2017 by PaperDigest My second paper that achieves over 1,000 google scholar citations
	Image Super-Resolution via Deep Recursive Residual Network Y. Tai, J. Yang, X. Liu. Computer Vision and Pattern Recognition (CVPR), 2017 Paper / Code / Project / Poster My first paper that achieves over 1,000 google scholar citations
	Nuclear Norm based Matrix Regression with Applications to Face Recognition with Occlusion and Illumination Changes J. Yang, L. Luo, J. Qian, Y. Tai, F. Zhang and Y. Xu. IEEE Trans. on Pattern Analysis and Machine Intelligence, 2017 Paper
	Structural Orthogonal Procrustes Regression for Face Recognition with Pose Variations and Misalignment Y. Tai, J. Yang, F. Zhang, Y. Zhang, L. Luo, J. Qian. SIAM Conference on Data Mining (SDM), 2016 [Oral] Paper
	Face Recognition with Pose Variations and Misalignment via Orthogonal Procrustes Regression Y. Tai, J. Yang, Y. Zhang, L. Luo, J. Qian and Y. Chen IEEE Trans. on Image Processing, 2016 Paper
	Learning Discriminative Singular Value Decomposition Representation for Face Recognition Y. Tai, J. Yang, L. Luo, F. Zhang and J. Qian Pattern Recognition, 2016 Paper

Awards

2021 First Prize of Progress in Science and Technology of Jiangsu Province (4/11), “Image restoration and robust recognition: theory and algorithms”
2021 Winner of CVPR NTIRE 2021 Challenge on Video Super-Resolution: Spatial-Temporal (Team name: Imagination)
2020 Winner of CVPR NTIRE 2020 Challenge on Real-World Super-Resolution (Team name: Impressionism)
2018 Stars of Youtu Lab, Tencent
2018, 2019, 2020 Outstanding Staff Award, Tencent
2018 Excellent Doctoral Dissertation of Nanjing University of Science and Technology, China
ICCV'17 Student Volunteer Travel Award
2017 Outstanding Graduate
2016 National Graduate Scholarship

Professional activities

Area Chairs for ECCV 2022, WACV 2023, FG 2023
Reviewer for CVPR'(17, 18, 19, 20, 21, 22), ICCV'(17, 19, 21), ECCV'(18, 20), AAAI'(19, 20, 21, 22), ICLR'(20, 21), NIPS'(20, 21)
Reviewer for Trans. on Pattern Analysis and Machine Intelligence (TPAMI), International Journal of Computer Vision (IJCV), IEEE Trans. on Image Processing (TIP), Pattern Recognition, Pattern Recognition Letters

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