Selected Publications

Publications (* equal contribution, * corresponding author. All publications on [Google Scholar]; 22*CVPR, 9*ICCV, 13*ECCV, 18*AAAI, 5*IJCAI, 4*NeurIPS, 1*ICLR)

• Describe, Don’t Dictate: Semantic Image Editing with Natural Language Intent
  En Ci, Shanyan Guan, Yanhao Ge, Yilin Zhang, Wei Li, Zhenyu Zhang, Jian Yang, Y. Tai*.
  IEEE/CVF International Conference on Computer Vision (ICCV), 2025
  arXiv

• Reverse Convolution and Its Applications to Image Restoration
  Xuhong Huang, Shiqi Liu, Kai Zhang, Ying Tai, Jian Yang, Hui Zeng, Lei Zhang
  IEEE/CVF International Conference on Computer Vision (ICCV), 2025
  arXiv

• Region-Aware Text-to-Image Generation via Hard Binding and Soft Refinement
  Zhennan Chen*, Yajie Li*, Haofan Wang, Zhibo Chen, Zhengkai Jiang, Jun Li, Qian Wang, Jian Yang, Y. Tai*.
  IEEE/CVF International Conference on Computer Vision (ICCV), 2025
  arXiv

• STAR: Spatial-Temporal Augmentation with Text-to-Video Models for Real-World Video Super-Resolution
  Rui Xie*, Yinhong Liu*, Penghao Zhou, Chen Zhao, Jun Zhou, Kai Zhang, Zhenyu Zhang, Jian Yang, Zhenheng Yang, Y. Tai*.
  IEEE/CVF International Conference on Computer Vision (ICCV), 2025
  arXiv

• StrandHead: Text to Strand-Disentangled 3D Head Avatars Using Hair Geometric Priors
  Xiaokun Sun, Zeyu Cai, Ying Tai, Jian Yang, Zhenyu Zhang.
  IEEE/CVF International Conference on Computer Vision (ICCV), 2025
  arXiv

• From Zero to Detail: Deconstructing Ultra-High-Definition Image Restoration from Progressive Spectral Perspective
  Chen Zhao, Zhizhou Chen, Yunzhe Xu, Enxuan Gu, Jian Li, Zili Yi, Qian Wang, Jian Yang, Y. Tai*.
  Computer Vision and Pattern Recognition Conference (CVPR), 2025
  Paper

• InstanceCap: Improving Text-to-Video Generation via Instance-aware Structured Caption
  Tiehan Fan, Kepan Nan, Rui Xie, Penghao Zhou, Zhenheng Yang, Chaoyou Fu, Xiang Li, Jian Yang, Y. Tai*.
  Computer Vision and Pattern Recognition Conference (CVPR), 2025
  Paper

• Towards Universal Dataset Distillation via Task-Driven Diffusion
  Ding Qi, Jian Li, Junyao Gao, Shuguang Dou, Ying Tai, Jianlong Hu, Bo Zhao, Yabiao Wang, Chengjie Wang, Cairong Zhao.
  Computer Vision and Pattern Recognition Conference (CVPR), 2025
  Paper

• OpenVid-1M: A Large-Scale Dataset for High-Quality Text-to-Video Generation
  K. Nan*, R. Xie*, P. Zhou*, T. Fan, Z. Yang, Z. Chen, X. Li, J. Yang and Y. Tai*.
  International Conference on Learning Representations, 2025
  arXiv / Website / Demo (High-res) / Dataset / Models / Code

• AddSR: Accelerating Diffusion-based Blind Super-Resolution with Adversarial Diffusion Distillation
  R. Xie, Y. Tai*, C. Zhao, K. Zhang, Z. Zhang, J. Zhou, X. Ye, Q. Wang* and J. Yang.
  arXiv:2404.01717, 2024
  arXiv / Website / Code

• Exploiting Multimodal Spatial-temporal Patterns for Video Object Tracking
  Xiantao Hu, Y. Tai*, Xu zhao, Chen Zhao, Zhenyu Zhang, Jun Li, Bineng Zhong, Jian Yang*
  AAAI Conference on Artificial Intellige (AAAI), 2025 [Oral]
  arXiv / Code

• Anywhere: A Multi-Agent Framework for User-Guided, Reliable, and Diverse Foreground-Conditioned Image Generation
  Xie Tianyidan, Rui Ma, qian Wang, Xiaoqian Ye, Feixuan Liu, Y. Tai, Zhenyu Zhang, Lanjun Wang, Zili Yi
  AAAI Conference on Artificial Intellige (AAAI), 2025
  

• Guided Real Image Dehazing Using YCbCr Color Space
  Wenxuan Fang, Junkai Fan, Yu Zheng, Jiangwei Weng, Y. Tai, Jun Li
  AAAI Conference on Artificial Intellige (AAAI), 2025
  

• Learning Generalized Residual Exchange-Correlation-Uncertain Functional for Density Functional Theory
  Sizhuo Jin, Shuo Chen, Jianjun Qian, Y. Tai, Jun Li
  AAAI Conference on Artificial Intellige (AAAI), 2025
  

• From Words to Worth: Newborn Article Impact Prediction with LLM
  Penghai Zhao, Qinghua Xing, Kairan Dou, Jinyu Tian, Y. Tai, Jian Yang, Ming-Ming Cheng, Xiang Li
  AAAI Conference on Artificial Intellige (AAAI), 2025
  

• Learning to Decouple the Lights for 3D Face Texture Modeling
  Tianxin Huang, Zhenyu Zhang, Ying Tai, Gim Hee Lee.
  Neural Information Processing Systems (NeurIPS), 2024
  arXiv

• MambaLLIE: Implicit Retinex-Aware Low Light Enhancement with Global-then-Local State Space
  Jiangwei Weng, Zhiqiang Yan, Ying Tai, Jianjun Qian, Jian Yang, Jun Li.
  Neural Information Processing Systems (NeurIPS), 2024
  arXiv

• HybridBooth: Hybrid Prompt Inversion for Efficient Subject-Driven Generation
  S. Guan*, Y. Ge*, Y. Tai*, J. Yang, W. Li and M. You*.
  European Conference on Computer Vision (ECCV), 2024
  arXiv

• FaceChain-ImagineID: Freely Crafting High-Fidelity Diverse Talking Faces from Disentangled Audio
  C. Xu, Y. Liu, J. Xing, W. Wang, M. Sun, J. Dan, T. Huang, S Li, Z. Cheng, Y. Tai, B. Sun
  Computer Vision and Pattern Recognition (CVPR), 2024
  Paper / Code

• 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.
  Computer Vision and Pattern Recognition (CVPR), 2024
  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