Xingping Dong*, Tianran Ouyang, Shengcai Liao*, and Ling Shao, “Pseudo-Labeling Based Practical Semi-Supervised Meta-Training for Few-Shot Learning,” in IEEE Transactions on Image Processing (TIP), Vol. 33, pp. 5663-5675, 20 September 2024.
Rongliang Wu, Yingchen Yu, Fangneng Zhan, Jiahui Zhang, Shengcai Liao, and Shijian Lu, “POCE: Pose-Controllable Expression Editing,” in IEEE Transactions on Image Processing (TIP), Vol. 32, pp. 6210-6222, 2023.
Yichao Yan, Jinpeng Li, Jie Qin, Shengcai Liao, and Xiaokang Yang, “Efficient Person Search: An Anchor-Free Approach,” in International Journal of Computer Vision (IJCV), Vol. 131, No. 7, pp. 1642-1661, 2023.
Wei Liu, Irtiza Hasan, and Shengcai Liao*, “Center and Scale Prediction: Anchor-free Approach for Pedestrian and Face Detection,” in Pattern Recognition (PR), Vol. 135, March 2023.
Hangzhi Jiang, Shengcai Liao, Jinpeng Li, Véronique Prinet, and Shiming Xiang, “Urban scene based Semantical Modulation for Pedestrian Detection,” in Neurocomputing, Vol. 474, pp 1-12, Feb 14, 2022.
Wenhao Wang, Fang Zhao, Shengcai Liao, and Ling Shao, “Attentive WaveBlock: Complementarity-enhanced Mutual Networks for Unsupervised Domain Adaptation in Person Re-identification and Beyond,” in IEEE Transactions on Image Processing (TIP), Vol 31, pp. 1532–1544, 2022.
Haibo Jin, Shengcai Liao*, and Ling Shao, “Pixel-in-Pixel Net: Towards Efficient Facial Landmark Detection in the Wild,” in International Journal of Computer Vision (IJCV), Vol. 129, No. 12, pp. 3174-3194, 2021.
Hongsong Wang, Shengcai Liao*, and Ling Shao, “AFAN: Augmented Feature Alignment Network for Cross-Domain Object Detection,” in IEEE Transactions on Image Processing (TIP), Vol. 30, pp. 4046-4056, April 1, 2021.
Wei Liu, Shengcai Liao*, and Weidong Hu, “Efficient Single-Stage Pedestrian Detection by Asymptotic Localization Fitting and Multi-Scale Context Encoding,” in IEEE Transactions on Image Processing (TIP), Vol. 29, pp. 1413-1425, 2019.
Wei Liu, Shengcai Liao*, and Weidong Hu, “Perceiving Motion from Dynamic Memory for Vehicle Detection in Surveillance Videos,” in IEEE Transactions on Circuits and Systems for Video Technology (TCSVT), Vol. 29, No. 12, pp. 3558-3567, 2019.
Wei Liu, Shengcai Liao*, Weidong Hu, “Towards Accurate Tiny Vehicle Detection in Complex Scenes,” in Neurocomputing, Vol. 347, pp. 24-33, 28 June 2019.
Shengcai Liao, Anil K. Jain, and Stan Z. Li, “A Fast and Accurate Unconstrained Face Detector,” in IEEE Transactions on Pattern Analysis and Machine Intelligence (TPAMI), Vol.38, No.2, pp. 211-223, February 2016. [pdf]
Jianqing Zhu, Shengcai Liao*, and Stan Z. Li. “Multi-Camera Joint Video Synopsis,” in IEEE Transaction on Circuits and Systems for Video Technology (TCSVT), Vol.26, No.6, pp. 1058-1069, June 2016.
Jianqing Zhu, Shengcai Liao*, Zhen Lei, and Stan Z. Li. “Multi-label convolutional neural network based pedestrian attribute classification.” In Image and Vision Computing (IVC), vol.58, pp. 224-229, February 2017.
Cuicui Kang, Shiming Xiang, Shengcai Liao, Changsheng Xu, Chunhong Pan, “Learning Consistent Feature Representation for Cross-Modal Multimedia Retrieval,” IEEE Transactions on Multimedia (TMM), vol.17, no.3, pp. 370-381, March 2015
Hong Han, Jianfei Zhu, Shengcai Liao, Zhen Lei, and Stan Z. Li. “Moving Object Detection Revisited: Speed and Robustness,” in IEEE Transactions on Circuits and Systems for Video Technology (TCSVT), Vol.25, No.6, pp.910-921, June 2015.
Jianqing Zhu, Shikun Feng, Dong Yi, Shengcai Liao, Zhen Lei, and Stan Z. Li. “High Performance Video Condensation System,” in IEEE Transactions on Circuits and Systems for Video Technology (TCSVT), Vol.25, No.7, pp. 1113-1124, July 2015.
Cuicui Kang, Shengcai Liao, Shiming Xiang, and Chunhong Pan. “Kernel Sparse Representation With Pixel-level and Region-level Image Feature Kernels For Face Recognition”, Neurocomputing, Volume 133, Pages 141-152, 2014. [pdf] [supplementary] [project page]
Shengcai Liao, Anil K. Jain, and Stan Z. Li, “Partial Face Recognition: Alignment Free Approach,” IEEE Transactions on Pattern Analysis and Machine Intelligence (TPAMI), Vol.35, No.5, pp. 1193-1205, May 2013. [pdf] [slides]
Zhen Lei, Shengcai Liao, Anil K. Jain, and Stan Z. Li, “Coupled Discriminant Analysis for Heterogeneous Face Recognition,” IEEE Transactions on Information Forensics and Security (TIFS), Vol.7, No.6, pp. 1707-1716, December, 2012.
Wei-Shi Zheng, JianHuang Lai, Shengcai Liao, Ran He, “Extracting Non-negative Basis Images Using Pixel Dispersion Penalty,” Pattern Recognition (PR), Vol.45, No.8, pp. 2912-2926, August 2012.
Zhen Lei, Shengcai Liao, Matti Pietikäinen, and Stan Z. Li, “Face Recognition by Exploring Information Jointly in Space, Scale and Orientation,” IEEE Transactions on Image Processing (TIP), Vol.20, No.1, pp. 247-256, January 2011. [pdf]
Stan Z. Li, RuFeng Chu, Shengcai Liao, and Lun Zhang, “Illumination Invariant Face Recognition Using Near-infrared Images,” IEEE Transactions on Pattern Analysis and Machine Intelligence (TPAMI), Vol.29, No.4, pp. 627-639, April 2007. [pdf]
Conference Papers
Guian Fang, Wenbiao Yan, Yuanfan Guo, Jianhua Han, Zutao Jiang, Hang Xu, Shengcai Liao, Xiaodan Liang, “HumanRefiner: Benchmarking Abnormal Human Generation and Refining with Coarse-to-fine Pose-Reversible Guidance.” In the 18th European Conference on Computer Vision (ECCV), Milano, Italy, Sep 29 - Oct 4, 2024.
Zehao Xiao, Jiayi Shen, Mohammad Mahdi Derakhshani, Shengcai Liao, Cees Snoek, “Any-Shift Prompting for Generalization over Distributions.” In IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR), Seattle WA, USA, June 17-21, 2024.
Yingjun Du, Zehao Xiao, Shengcai Liao, and Cees G. M. Snoek, “ProtoDiff: Learning to Learn Prototypical Networks by Task-Guided Diffusion.” In The Thirty-Seventh Conference on Neural Information Processing Systems (NeurIPS), New Orleans, Louisiana, USA, Dec 10-16, 2023.
Kaiwen Cui, Yingchen Yu, Fangneng Zhan, Shengcai Liao, Shijian Lu, and Eric Xing, “KD-DLGAN: Data Limited Image Generation via Knowledge Distillation.” In IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR), Vancouver, Canada, June 18-22, 2023.
Zehao Xiao, Xiantong Zhen, Shengcai Liao, and Cees G. M. Snoek, “Energy-Based Test Sample Adaptation for Domain Generalization.” In the Eleventh International Conference on Learning Representations (ICLR), Kigali, Rwanda, May 1-5, 2023.
Jiaxing Huang, Kaiwen Cui, Dayan Guan, Aoran Xiao, Fangneng Zhan, Shijian Lu, Shengcai Liao, and Eric Xing, “Masked Generative Adversarial Networks are Robust Generation Learners.” In The Thirty-Sixth Conference on Neural Information Processing Systems (NeurIPS), New Orleans, Louisiana, USA, Nov. 28 - Dec. 9, 2022.
Jinpeng Li, Haibo Jin, Shengcai Liao*, Ling Shao, and Pheng-Ann Heng, “RePFormer: Refinement Pyramid Transformer for Robust Facial Landmark Detection.” In The 31st International Joint Conference on Artificial Intelligence (IJCAI), Messe Wien, Vienna, Austria, July 23-29, 2022. (Long Oral)
Shengcai Liao* and Ling Shao, “Graph Sampling Based Deep Metric Learning for Generalizable Person Re-Identification.” In IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR), 2022.
Yanan Wang, Xuezhi Liang, and Shengcai Liao*, “Cloning Outfits from Real-World Images to 3D Characters for Generalizable Person Re-Identification.” In IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR), 2022.
Yichao Yan, Jinpeng Li, Shengcai Liao, Jie Qin, Bingbing Ni, Ke Lu, and Xiaokang Yang, “Exploring Visual Context for Weakly Supervised Person Search.” In the 36th AAAI Conference on Artificial Intelligence (AAAI), Feb. 22 – Mar. 1, 2022.
Wenhao Wang, Shengcai Liao*, Fang Zhao, Cuicui Kang, and Ling Shao, “DomainMix: Learning Generalizable Person Re-Identification Without Human Annotations.” In British Machine Vision Conference (BMVC), 2021.
Shengcai Liao* and Ling Shao, “TransMatcher: Deep Image Matching Through Transformers for Generalizable Person Re-Identification.” In Neural Information Processing Systems (NeurIPS), 2021.
Fang Zhao, Wenhao Wang, Shengcai Liao*, and Ling Shao, “Learning Anchored Unsigned Distance Functions with Gradient Direction Alignment for Single-view Garment Reconstruction.” In IEEE International Conference on Computer Vision (ICCV), Oct. 11-17, 2021.
Irtiza Hasan, Shengcai Liao*, Jinpeng Li, Saad Ullah Akram, and Ling Shao. “Generalizable Pedestrian Detection: The Elephant In The Room.” In IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR), 2021.
Yichao Yan, Jingpeng Li, Jie Qin, Song Bai, Shengcai Liao, Li Liu, Fan Zhu, and Ling Shao. “Anchor-Free Person Search.” In IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR), 2021.
Fang Zhao, Shengcai Liao*, Kaihao Zhang, and Ling Shao, “Human Parsing Based Texture Transfer from Single Image to 3D Human via Cross-View Consistency.” In Neural Information Processing Systems (NeurIPS), Dec. 6-12, 2020.
Yanan Wang, Shengcai Liao*, and Ling Shao, “Surpassing Real-World Source Training Data: Random 3D Characters for Generalizable Person Re-Identification.” In The 28th ACM International Conference on Multimedia (ACMMM), 12-16 October, 2020.
Jinpeng Li, Shengcai Liao*, Hangzhi Jiang, and Ling Shao, “Box Guided Convolution for Pedestrian Detection.” In The 28th ACM International Conference on Multimedia (ACMMM), 12-16 October, 2020.
Shengcai Liao*, and Ling Shao, “Interpretable and Generalizable Person Re-identiffication with Query-adaptive Convolution and Temporal Lifting.” In The 16th European Conference on Computer Vision (ECCV), 23-28 August, 2020.
Fang Zhao, Shengcai Liao*, Guosen Xie, Jian Zhao, Kaihao Zhang, and Ling Shao, “Unsupervised Domain Adaptation with Noise Resistible Mutual-Training for Person Re-identiffication.” In The 16th European Conference on Computer Vision (ECCV), 23-28 August, 2020.
Xiaobo Wang, Tianyu Fu, Shuo Wang, Shengcai Liao, Zhen Lei, and Tao Mei, “Exclusivity-Consistency Regularized Knowledge Distillation for Face Recognition.” In The 16th European Conference on Computer Vision (ECCV), 23-28 August, 2020.
Lei Zhang, Jiangtao Nie, Wei Wei, Yanning Zhang, Shengcai Liao, and Ling Shao. “Unsupervised Adaptation Learning for Hyperspectral Imagery Super-resolution.” In IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR), 2020.
Lei Zhang, Zhiqiang Lang, Peng Wang, Wei Wei, Shengcai Liao, Ling Shao, and Yanning Zhang. “Pixel-aware Deep Function-mixture Network for Spectral Super-Resolution.” In The 34th AAAI Conference on Artificial Intelligence (AAAI), New York, USA, Feb. 7-12, 2020.
Jinlin Wu, Yang Yang, Hao Liu, Shengcai Liao, Zhen Lei, and Stan Z. Li, “Unsupervised Graph Association for Person Re-identification,” in IEEE International Conference on Computer Vision (ICCV). Seoul, Korea, Oct. 27-Nov. 2, 2019.
Wei Liu, Shengcai Liao*, Weiqiang Ren, Weidong Hu, Yinan Yu. “High-level Semantic Feature Detection: A New Perspective for Pedestrian Detection.” In IEEE International Conference on Computer Vision and Pattern Recognition (CVPR), June 16-20, Long Beach, California, USA, 2019.
Jinlin Wu, Shengcai Liao, Zhen lei, Xiaobo Wang, Yang Yang, and Stan Z. Li, “Clustering and Dynamic Sampling Based Unsupervised Domain Adaptation for Person Re-Identification,” in IEEE International Conference on Multimedia and Expo (ICME), Shanghai, China, 2019.
Wei Liu, Shengcai Liao*, Weidong Hu, Xuezhi Liang, Xiao Chen. “Learning Efficient Single-stage Pedestrian Detectors by Asymptotic Localization Fitting.” In The 15th European Conference on Computer Vision (ECCV), Munich, Germany, September 8-14, 2018. [code]
Wei Liu, Shengcai Liao*, Weidong Hu, Xuezhi Liang, “Improving Tiny Vehicle Detection In Complex Scenes,” in IEEE International Conference on Multimedia and Expo (ICME), San Diego, USA, July 23-27, 2018. [code]
Xuezhi Liang, Shengcai Liao*, Xiaobo Wang, Wei Liu, Stan Li, “Deep Background Subtraction with Guided Learning,” in IEEE International Conference on Multimedia and Expo (ICME), San Diego, USA, July 23-27, 2018.
Cuicui Kang, Shengcai Liao*, Zhen Li, Zigang Cao and Gang Xiong. “Learning Deep Semantic Embeddings for Cross-Modal Retrieval.” In The 9th Asian Conference on Machine Learning (ACML), Yonsei University, Seoul, Korea, November 15-17, 2017.
Haibo Jin, Xiaobo Wang, Shengcai Liao* and Stan Z. Li. “Deep person re-identification with improved embedding and efficient training.” In IEEE International Joint Conference on Biometrics (IJCB), Denver, Colorado, USA, October 1-4, 2017. [code]
Hailin Shi, Yang Yang, Xiangyu Zhu, Shengcai Liao, Zhen Lei, Wei-Shi Zheng, and Stan Z. Li. “Embedding Deep Metric for Person Re-identification: A Study Against Large Variations.” In The 14th European Conference on Computer Vision (ECCV), Amsterdam, The Netherlands, October 8-16, 2016.
Yang, Yang, Shengcai Liao, Zhen Lei, and Stan Z. Li. “Large Scale Similarity Learning Using Similar Pairs for Person Verification.” In The 30th AAAI Conference on Artificial Intelligence (AAAI), Phoenix, Arizona, USA, February 12–17, 2016.
Jiali Duan, Shengcai Liao, Shuai Zhou, and Stan Z. Li. “Face Classification: A Specialized Benchmark Study.” In Proceedings of the 11th Chinese Conference on Biometrics (CCBR), Sichuang, China, October 14-16, 2016. (Best Student Paper Award) [code]
Wei-Shi Zheng, Xiang Li, Tao Xiang, Shengcai Liao, Jianhuang Lai, and Shaogang Gong, “Partial Person Re-identification.” In IEEE International Conference on Computer Vision (ICCV), December 11-18, Santiago, Chile, 2015.
Shengcai Liao and Stan Z. Li, “Efficient PSD Constrained Asymmetric Metric Learning for Person Re-identification.” In IEEE International Conference on Computer Vision (ICCV), December 11-18, Santiago, Chile, 2015. [pdf] [poster] [project page]
Shengcai Liao, Yang Hu, Xiangyu Zhu, and Stan Z. Li, “Person Re-identification by Local Maximal Occurrence Representation and Metric Learning.” In IEEE International Conference on Computer Vision and Pattern Recognition (CVPR), June 7-12, Boston, Massachusetts, USA, 2015. [pdf] [project page]
Cuicui Kang, Shengcai Liao, Yonghao He, Jian Wang, Wenjia Niu, Shiming Xiang, and Chunhong Pan, “Cross-Modal Similarity Learning: A Low Rank Bilinear Formulation.” In The 24th ACM International Conference on Information and Knowledge Management (CIKM), 2015.
Jianqing Zhu, Shengcai Liao, Dong Yi, Zhen Lei, Stan Z. Li, “Multi-label CNN Based Pedestrian Attribute Learning for Soft Biometrics,” In Proceedings of the 8th IAPR International Conference on Biometrics (ICB), Phuket, Thailand, May 19-22, 2015. (Best Student Paper Award)
Shengcai Liao, Zhen Lei, Dong Yi, Stan Z. Li, “A Benchmark Study of Large-scale Unconstrained Face Recognition.” In IAPR/IEEE International Joint Conference on Biometrics (IJCB), Sep. 29 – Oct. 2, Clearwater, Florida, USA, 2014. [pdf] [slides] [project page]
Yang Yang, Jimei Yan, Junjie Yan, Shengcai Liao, Dong Yi, Stan Z. Li, “Salient Color Names for Person Re-Identification,” In Proceedings of the European Conference on Computer Vision (ECCV), Zurich, September 6-12, 2014.
Junjie Yan, Xucong Zhang, Zhen Lei, Shengcai Liao, Stan Z. Li, “Robust Multi-Resolution Pedestrian Detection in Traffic Scenes,” In Proceedings of the 26th IEEE International Conference on Computer Vision and Pattern Recognition (CVPR), Portland, Oregon, June 23-28, 2013.
Shengcai Liao and Anil K. Jain, “Partial Face Recognition: an Alignment Free Approach,” In Proceedings of the IAPR/IEEE International Joint Conference on Biometrics (IJCB), Washington D.C., USA, Oct. 11-13, 2011. [pdf] [Spotlight] [poster]
Shengcai Liao, Guoying Zhao, Vili Kellokumpu, Matti Pietikäinen, and Stan Z. Li, “Modeling Pixel Process with Scale Invariant Local Patterns for Background Subtraction In Complex Scenes,” In Proceedings of IEEE Computer Society Conference on Computer Vision and Pattern Recognition (CVPR), San Francisco, CA, USA, June 13-18, 2010. [pdf]
Nan Zheng, Qiudan Li, Shengcai Liao, and Leiming Zhang, “Flickr group recommendation based on tensor decomposition,” In Proceedings of the 33rd International ACM SIGIR Conference on Research and Development in Information Retrieval (SIGIR), pp. 737-738, Geneva, Switzerland, July 19-23, 2010. [pdf]
Shengcai Liao, Zhen Lei, and Stan Z. Li, “Nonnegative Matrix Factorization with Gibbs Random Field Modeling,” In Proceedings of the 2nd IEEE International Workshop on Subspace (in conjunction with ICCV 2009), Kyoto, Japan, Sep. 27, 2009. (Oral) [pdf]
Shengcai Liao, Dong Yi, Zhen Lei, Rui Qin, and Stan Z. Li, “Heterogeneous Face Recognition from Local Structures of Normalized Appearance,” In Proceedings of the 3rd IAPR/IEEE International Conference on Biometrics (ICB ), Alghero, Italy, June 2009. [pdf]
Shengcai Liao, Zhen Lei, Stan Z. Li, Xiaotong Yuan, and Ran He, “Structured Ordinal Features for Appearance-Based Object Representation,” In Proceedings of IEEE International Workshop on Analysis and Modeling of Faces and Gestures (AMFG 2007, In conjunction with ICCV 2007), Rio de Janeiro, Brazil, October 2007. (Oral) [pdf]
Wei-shi Zheng, Stan Z. Li, J. H. Lai, and Shengcai Liao, “On constrained sparse matrix factorization,” In Proceedings of IEEE International Conference on Computer Vision (ICCV), Rio de Janeiro, Brazil, October 2007. [pdf]
Shengcai Liao, XiangxinZhu, Zhen Lei, Lun Zhang, and Stan Z. Li, “Learning Multi-scale Block Local Binary Patterns for Face Recognition,” In Proceedings of the 2nd IAPR/IEEE International Conference on Biometrics (ICB), Seoul, Korea, August 2007. (Oral, First Prize of Best Paper Award) [pdf]
Shengcai Liao, Zhen Lei, XiangXIn Zhu, ZheNan Sun, Stan Z. Li, and Tieniu Tan, “Face Recognition Using Ordinal Features,” In Proceedings of the 1st IAPR International Conference on Biometrics (ICB), Hong Kong, January 2006. (Oral, Best Student Paper Award) [pdf]
