Selected Pulications

Publications (* equal contribution, * corresponding author. All publications on [Google Scholar])

	AddSR: Accelerating Diffusion-based Blind Super-Resolution with Adversarial Diffusion Distillation R. Xie, Y. Tai, K. Zhang, Z. Zhang, J. Zhou and J. Yang. arXiv:2404.01717v1, 2024 arXiv / Website / Code (coming soon)
	PortraitBooth: A Versatile Portrait Model for Fast Identity-preserved Personalization X. Peng, J. Zhu, B. Jiang, Y. Tai, D. Luo, J. Zhang, W. Lin, T. Jin, C. Wang, and R. Ji. arXiv:2312.06354v1, 2023 arXiv / Website
	Dynamic Frame Interpolation in Wavelet Domain L. Kong, B. Jiang, D. Luo, W. Chu, Y. Tai, C. Wang, and J. Yang. IEEE Trans. on Image Processing, 2023 arXiv / Evaluation code
	Learning Versatile 3D Shape Generation with Improved AR Models S. Luo, X. Qian, Y. Fu, Y. Zhang, Y. Tai, Z. Zhang, C. Wang, and X. Xue. International Conference on Computer Vision (ICCV), 2023 arXiv
	Learning Neural Proto-face Field for Disentangled 3D Face Modeling In the Wild Z. Zhang, R. Chen, W. Cao, Y. Tai, and C. Wang Computer Vision and Pattern Recognition (CVPR), 2023 Paper
	Learning to Measure the Point Cloud Reconstruction Loss in a Representation Space T. Huang, Z. Ding, J. Zhang, Y. Tai, Z. Zhang, M. Chen, C. Wang, and Y. Liu Computer Vision and Pattern Recognition (CVPR), 2023 Paper
	High-fidelity Generalized Emotional Talking Face Generation with Multi-modal Emotion Space Learning C. Xu, J. Zhang, J. Zhu, W. Chu, Y. Tai, C. Wang, and Y. Liu Computer Vision and Pattern Recognition (CVPR), 2023 Paper (arXiv)
	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 (arXiv)
	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 (arXiv)
	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
	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
	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
	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
	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) 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 1,500 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 2,000 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