• Zhanghui Kuang*, Yiming Gao*, Guanbin Li, Ping Luo, Yiming Chen, Liang Lin, Wayne Zhang.: Fashion Retrieval via Graph Reasoning Networks on a Similarity Pyramid. In: ICCV (2019) (oral presentation) (* indicates equal contribution)[PDF] [Code]
  • Jiaqi Duan, Youjiang Xu, Zhanghui Kuang, Xiaoyu Yue, Hongbin Sun, Yue Guan, Wayne Zhang.: Geometry Normalization Networks for Accurate Scene Text Detection. In: ICCV (2019) [PDF] [Code]
  • Zhenfang Chen, Zhanghui Kuang, Wayne Zhang, Kwan-Yee Wong.: Learning Local Similarity with Spatial Relations for Object Retrieval. In: ACM MM (2019) [PDF] [Code]
  • Yi Li, Zhanghui Kuang, Yimin Chen, Wayne Zhang, Data-Driven Neuron Allocation for Scale Aggregation Networks. In: CVPR (2019) [PDF] [Code]
  • Litong Feng, Ziyin Li, Zhanghui Kuang , Wayne Zhang, Extractive Video Summarizer with Memory Augmented Neural Networks. In: ACM MM (2018) [PDF] [Code]
  • Zhaoyang Zhang, Zhanghui Kuang , Ping Luo, Litong Feng, Wayne Zhang, Temporal Sequence Distillation: Towards Few-Frame Action Recognition in Videos. In: ACM MM (2018) [PDF] [Code]
  • Xiaoyu Yue, Zhanghui Kuang , Zhaoyang Zhang, Zhenfang Chen, Pan He, Yu Qiao, Wayne Zhang, Boosting up Scene Text Detectors with Guided CNN. In: BMVC (2018) (oral presentation) [PDF] [Code]
  • Shuyang Sun, Zhanghui Kuang , Wanli Ouyang, Lu Sheng, Wayne Zhang, Optical Flow Guided Feature: A Fast and Robust Motion Representation for Video Action Recognition.In: CVPR (2018) [PDF] [Code]
  • Zhenfang Chen, Zhanghui Kuang , Kwan-Yee K. Wong, Wayne Zhang: Aggregated Deep Feature from Activation Clusters for Particular Object Retrieval. In: ACM Multimedia (Thematic Workshops) (2017) [PDF] [Code]
  • Xuhui Jia, Heng Yang, Xiaolong Zhu, Zhanghui Kuang , Yifeng Niu and Kwok-Ping Chan. Reflective Regression of 2D-3D Face Shape Across Large Pose.In: BMVC (2016) (oral presentation) [PDF] [Code]
  • Zhanghui Kuang, Chen Huang, Wayne Zhang.: Deeply Learned Rich Coding for Cross-Dataset Facial Age Estimation. We rank the 3rd place on ChaLearn Looking at People Challenge at ICCV 2015. [PDF] [Code]
  • Zhanghui Kuang, Kwan-Yee Wong.: Relatively-Paired Space Analysis: Learning a Latent Common Space From Relatively-Paired Observations: International Journal of Computer Vision (IJCV), 113(3):176-192, July 2015. [PDF] [Code]
  • Zhanghui Kuang, Kwan-Yee Wong.: Relatively-Paired Space Analysis. In: BMVC (2013) (oral presentation, 7% acceptance rate) [PDF] [Code]
  • Zhanghui Kuang, Jian Sun, Kwan-Yee Wong.: Learning Regularized, Query-dependent Bilinear Similarities for Large Scale Image Search. In: Big Data Workshop at CVPR (2013) (oral presentation) [PDF] [Code]
  • Zhanghui Kuang, Dirk Schnieders, Hao Zhou, Kwan-Yee Wong, Yizhou Yu, Bo Peng.: Learning image-specific parameters for interactive segmentation. In: CVPR (2012) [PDF] [Code]
  • Hao Zhou, Zhanghui Kuang, Kwan-Yee Wong.: Markov weight fields for face sketch synthesis. In: CVPR (2012) [PDF] [Code]
  • Zhanghui Kuang, Zhou Hao, Kwan-Yee K. Wong.: Accurate foreground segmentation without pre-learning. In: ICIG (2011) (oral presentation) [PDF] [Code]
  • Zhanghui Kuang, Guodong Pan, Kwan-Yee K. Wong.: Local Multiple Orientations Estimation Using K-medoids. In: ICIP (2010) (oral presentation) [PDF] [Code]
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