Competitive Hopfield Neural Network with Periodic Stochastic Dynamics for Partitional Clustering. - Zhanghui Kuang; Wei Bi; Jiahai Wang (ISICA, 2008)

A Chaotic Neural Network Combined Heuristic Strategy for Multidimensional Knapsack Problem. - Ying Zhou; Zhanghui Kuang; Jiahai Wang (ISICA, 2008)

Discrete particle swarm optimization based on estimation of distribution for polygonal approximation problems. - Jiahai Wang; Zhanghui Kuang; Xinshun Xu; Yalan Zhou (Expert Syst. Appl., 2009)

Local multiple orientations estimation using k-medoids. - Zhanghui Kuang; Guodong Pan; Kwan-Yee Kenneth Wong (ICIP, 2010)

Accurate Foreground Segmentation without Pre-learning. - Zhanghui Kuang; Hao Zhou 010; Kwan-Yee Kenneth Wong (ICIG, 2011)

Improved stochastic competitive Hopfield network for polygonal approximation. - Jiahai Wang; Zhanghui Kuang; Yalan Zhou; Rong Long Wang (Expert Syst. Appl., 2011)

Learning image-specific parameters for interactive segmentation. - Zhanghui Kuang; Dirk Schnieders; Hao Zhou 010; Kwan-Yee Kenneth Wong; Yizhou Yu; Bo Peng (CVPR, 2012)

Markov Weight Fields for face sketch synthesis. - Hao Zhou 010; Zhanghui Kuang; Kwan-Yee Kenneth Wong (CVPR, 2012)

Relatively-Paired Space Analysis. - Zhanghui Kuang; Kwan-Yee Kenneth Wong (BMVC, 2013)

Learning Regularized, Query-Dependent Bilinear Similarities for Large Scale Image Retrieval. - Zhanghui Kuang; Jian Sun; Kwan-Yee Kenneth Wong (CVPR Workshops, 2013)

Learning structural SVMs and its applications in computer vision. - Zhanghui Kuang (2014)

Deeply Learned Rich Coding for Cross-Dataset Facial Age Estimation. - Zhanghui Kuang; Chen Huang 001; Wei Zhang 010 (ICCV Workshops, 2015)

Relatively-Paired Space Analysis: Learning a Latent Common Space From Relatively-Paired Observations. - Zhanghui Kuang; Kwan-Yee Kenneth Wong (Int. J. Comput. Vis., 2015)

Reflective Regression of 2D-3D Face Shape Across Large Pose. - Xuhui Jia; Heng Yang; Xiaolong Zhu; Zhanghui Kuang; Yifeng Niu; Kwok-Ping Chan (BMVC, 2016)

Aggregated Deep Feature from Activation Clusters for Particular Object Retrieval. - Zhenfang Chen; Zhanghui Kuang; Kwan-Yee K. Wong; Wei Zhang 010 (ACM Multimedia (Thematic Workshops), 2017)

Fast Video Shot Transition Localization with Deep Structured Models. - Shitao Tang; Litong Feng; Zhanghui Kuang; Yimin Chen; Wei Zhang 010 (ACCV (1), 2018)

Boosting up Scene Text Detectors with Guided CNN. - Xiaoyu Yue; Zhanghui Kuang; Zhaoyang Zhang 004; Zhenfang Chen; Pan He; Yu Qiao 001; Wei Zhang 010 (BMVC, 2018)

Optical Flow Guided Feature: A Fast and Robust Motion Representation for Video Action Recognition. - Shuyang Sun; Zhanghui Kuang; Lu Sheng; Wanli Ouyang; Wei Zhang 010 (CVPR, 2018)

Extractive Video Summarizer with Memory Augmented Neural Networks. - Litong Feng; Ziyin Li; Zhanghui Kuang; Wei Zhang 010 (ACM Multimedia, 2018)

Temporal Sequence Distillation: Towards Few-Frame Action Recognition in Videos. - Zhaoyang Zhang 004; Zhanghui Kuang; Ping Luo 002; Litong Feng; Wei Zhang 010 (ACM Multimedia, 2018)

Learning Efficient Detector with Semi-supervised Adaptive Distillation. - Shitao Tang; Litong Feng; Wenqi Shao; Zhanghui Kuang; Wayne Zhang 001; Zheng Lu (BMVC, 2019)

Data-Driven Neuron Allocation for Scale Aggregation Networks. - Yi Li 050; Zhanghui Kuang; Yimin Chen; Wayne Zhang 001 (CVPR, 2019)

Geometry Normalization Networks for Accurate Scene Text Detection. - Jiaqi Duan; Youjiang Xu; Zhanghui Kuang; Xiaoyu Yue; Hongbin Sun; Yue Guan; Wayne Zhang 001 (ICCV, 2019)

Fashion Retrieval via Graph Reasoning Networks on a Similarity Pyramid. - Zhanghui Kuang; Yiming Gao 004; Guanbin Li; Ping Luo 002; Yimin Chen; Liang Lin; Wayne Zhang 001 (ICCV, 2019)

Learning Local Similarity with Spatial Relations for Object Retrieval. - Zhenfang Chen; Zhanghui Kuang; Wayne Zhang 001; Kwan-Yee K. Wong (ACM Multimedia, 2019)

Learning Efficient Detector with Semi-supervised Adaptive Distillation. - Shitao Tang; Litong Feng; Wenqi Shao; Zhanghui Kuang; Wei Zhang 010; Yimin Chen (CoRR, 2019)

Context-Aware RCNN: A Baseline for Action Detection in Videos. - Jianchao Wu; Zhanghui Kuang; Limin Wang 002; Wayne Zhang 001; Gangshan Wu (ECCV (25), 2020)

RobustScanner: Dynamically Enhancing Positional Clues for Robust Text Recognition. - Xiaoyu Yue; Zhanghui Kuang; Chenhao Lin; Hongbin Sun; Wayne Zhang 001 (ECCV (19), 2020)

Fourier Contour Embedding for Arbitrary-Shaped Text Detection. - Yiqin Zhu; Jianyong Chen; Lingyu Liang; Zhanghui Kuang; Lianwen Jin; Wayne Zhang 001 (CVPR, 2021)

Pseudo-mask Matters in Weakly-supervised Semantic Segmentation. - Yi Li 050; Zhanghui Kuang; Liyang Liu; Yimin Chen; Wayne Zhang 001 (ICCV, 2021)

Vision Transformer with Progressive Sampling. - Xiaoyu Yue; Shuyang Sun; Zhanghui Kuang; Meng Wei; Philip H. S. Torr; Wayne Zhang 001; Dahua Lin (ICCV, 2021)

Towards Impartial Multi-task Learning. - Liyang Liu; Yi Li 050; Zhanghui Kuang; Jing-Hao Xue; Yimin Chen; Wenming Yang; Qingmin Liao; Wayne Zhang 001 (ICLR, 2021)

Group Fisher Pruning for Practical Network Compression. - Liyang Liu; Shilong Zhang; Zhanghui Kuang; Aojun Zhou; Jing-Hao Xue; Xinjiang Wang; Yimin Chen; Wenming Yang; Qingmin Liao; Wayne Zhang 001 (ICML, 2021)

MMOCR: A Comprehensive Toolbox for Text Detection, Recognition and Understanding. - Zhanghui Kuang; Hongbin Sun; Zhizhong Li 002; Xiaoyu Yue; Tsui Hin Lin; Jianyong Chen; Huaqiang Wei; Yiqin Zhu; Tong Gao; Wenwei Zhang; Kai Chen 026; Wayne Zhang 001; et al. (ACM Multimedia, 2021)

Spatial Dual-Modality Graph Reasoning for Key Information Extraction. - Hongbin Sun; Zhanghui Kuang; Xiaoyu Yue; Chenhao Lin; Wayne Zhang 001 (CoRR, 2021)

Pseudo-mask Matters inWeakly-supervised Semantic Segmentation. - Yi Li 050; Zhanghui Kuang; Liyang Liu; Yimin Chen; Wayne Zhang 001 (CoRR, 2021)

Hierarchical Reasoning Network for Human-Object Interaction Detection. - Yiming Gao 004; Zhanghui Kuang; Guanbin Li; Wayne Zhang 001; Liang Lin (IEEE Trans. Image Process., 2021)

IncDet: In Defense of Elastic Weight Consolidation for Incremental Object Detection. - Liyang Liu; Zhanghui Kuang; Yimin Chen; Jing-Hao Xue; Wenming Yang; Wayne Zhang 001 (IEEE Trans. Neural Networks Learn. Syst., 2021)

Uncertainty Estimation via Response Scaling for Pseudo-Mask Noise Mitigation in Weakly-Supervised Semantic Segmentation. - Yi Li 050; Yiqun Duan; Zhanghui Kuang; Yimin Chen; Wayne Zhang 001; Xiaomeng Li 001 (AAAI, 2022)

GenDet: Meta Learning to Generate Detectors From Few Shots. - Liyang Liu; Bochao Wang; Zhanghui Kuang; Jing-Hao Xue; Yimin Chen; Wenming Yang; Qingmin Liao; Wayne Zhang 001 (IEEE Trans. Neural Networks Learn. Syst., 2022)

A Coarse-to-Fine Framework for Automatic Video Unscreen. - Anyi Rao; Linning Xu; Zhizhong Li 002; Qingqiu Huang; Zhanghui Kuang; Wayne Zhang 001; Dahua Lin (IEEE Trans. Multim., 2023)