Publication

Anyi Rao, Linning Xu, Zhizhong Li, Qingqiu Huang, Zhanghui Kuang, Wayne Zhang, Dahua Lin.: A Coarse-to-Fine Framework for Automatic Video Unscreen. In: IEEE Transactions on Multimedia. 2022. [PDF] [Code]
Yi Li, Yiqun Duan, Zhanghui Kuang, Yimin Chen, Wayne Zhang, Xiaomeng Li.: Uncertainty estimation via response scaling for pseudo-mask noise mitigation in weakly-supervised semantic segmentation. In: AAAI (2022). [PDF] [Code]
Xiaoyu Yue, Shuyang Sun, Zhanghui Kuang, Meng Wei, Philip Torr, Wayne Zhang, and Dahua Lin.: Vision Transformer with Progressive Sampling. In: ICCV (2021). [PDF] [Code]
Yi Li, Zhanghui Kuang, Liyang Liu, Yimin Chen, and Wayne Zhang.: Pseudo-mask Matters in Weakly-supervised Semantic Segmentation. In: ICCV (2021). [PDF] [Code]
Zhanghui Kuang, Hongbin Sun, Zhizhong Li, Xiaoyu Yue, Tsui Hin Lin, Jianyong Chen, Huaqiang Wei, Yiqin Zhu, Tong Gao, Wenwei Zhang, Kai Chen, Wayne Zhang, and Dahua Lin.: MMOCR: A Comprehensive Toolbox for Text Detection, Recognition and Understanding. In: ACM MM (2021). [PDF] [Code]
Yiming Gao, Zhanghui Kuang, Guanbin Li, Wayne Zhang and Liang Lin, "Hierarchical Reasoning Network for Human-Object Interaction Detection", IEEE Transactions on Image Processing (T-IP), 2021. [PDF] [Code]
Liyang Liu, Shilong Zhang, Zhanghui Kuang, Jing-Hao Xue, Aojun Zhou, Xinjiang Wang, Yimin Chen, Wenming Yang, Qingmin Liao, Wayne Zhang.: Group Fisher Pruning for Practical Network Compression. In: ICML (2021). [PDF] [Code]
Yiqin Zhu, Jianyong Chen, Lingyu Liang, Zhanghui Kuang, Lianwen Jin, Wayne Zhang, Fourier Contour Embedding for Arbitrary-Shaped Text Detection. In: CVPR (2021). [PDF] [Code]
Liyang Liu, Yi Li, Zhanghui Kuang, Jing-Hao Xue, Yimin Chen, Wenming Yang, Qingmin Liao, and Wayne Zhang.: Towards Impartial Multi-task Learning. In: ICLR (2021). [PDF] [Code]
Liyang Liu, Bochao Wang, Zhanghui Kuang, Jing-Hao Xue, Yiming Chen, Wenming Yang, Qinming Liao. and Wayne Zhang.: GenDet: Meta learning to generate detectors from few shots. In: IEEE Transactions on Neural Networks and Learning Systems. 2021. [PDF] [Code]
Yiming Gao*, Zhanghui Kuang*, Guanbin Li, Ping Luo, Yiming Chen, Liang Lin, Wayne Zhang.: Fashion Retrieval via Graph Reasoning Networks on a Similarity Pyramid. In: IEEE Transactions on Pattern Analysis and Machine Intelligence. 2020. (* indicates equal contribution)[PDF] [Code]
Liyang Liu, Zhanghui Kuang, Yimin Chen, Jing-Hao Xue, Wenming Yang, Wayne Zhang. IncDet: In Defense of Elastic Weight Consolidation for Incremental Object Detection. In: IEEE Transactions on Neural Networks and Learning Systems. 2020. [PDF] [Code]
Jianchao Wu, Zhanghui Kuang, Wayne Zhang, Limin Wang, Gangshan Wu.: Revisiting RCNN for Action Detection in Videos. In: ECCV (2020) [PDF] [Code]
Xiaoyu Yue, Zhanghui Kuang, Chenhao Lin, Hongbin SUN, Wayne Zhang.: RobustScanner: Dynamically Enhancing Positional Clues for Robust Text Recognition. In: ECCV (2020) [PDF] [Code]
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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