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2020 – today
- 2023
[j8]Yiming Gao
, Zhanghui Kuang, Guanbin Li, Ping Luo, Yimin Chen, Liang Lin, Wayne Zhang:
Fashion Retrieval via Graph Reasoning Networks on a Similarity Pyramid. IEEE Trans. Pattern Anal. Mach. Intell. 45(6): 7019-7034 (2023)- [j7]Anyi Rao, Linning Xu, Zhizhong Li, Qingqiu Huang, Zhanghui Kuang, Wayne Zhang, Dahua Lin:
A Coarse-to-Fine Framework for Automatic Video Unscreen. IEEE Trans. Multim. 25: 2723-2733 (2023) - 2022
- [j6]Liyang Liu, Bochao Wang, Zhanghui Kuang, Jing-Hao Xue, Yimin Chen, Wenming Yang, Qingmin Liao, Wayne Zhang:
GenDet: Meta Learning to Generate Detectors From Few Shots. IEEE Trans. Neural Networks Learn. Syst. 33(8): 3448-3460 (2022) - [c30]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. AAAI 2022: 1447-1455 - 2021
- [j5]Yiming Gao, Zhanghui Kuang, Guanbin Li, Wayne Zhang, Liang Lin:
Hierarchical Reasoning Network for Human-Object Interaction Detection. IEEE Trans. Image Process. 30: 8306-8317 (2021) - [j4]Liyang Liu, Zhanghui Kuang, Yimin Chen, Jing-Hao Xue, Wenming Yang, Wayne Zhang:
IncDet: In Defense of Elastic Weight Consolidation for Incremental Object Detection. IEEE Trans. Neural Networks Learn. Syst. 32(6): 2306-2319 (2021) - [c29]Yiqin Zhu, Jianyong Chen, Lingyu Liang, Zhanghui Kuang, Lianwen Jin, Wayne Zhang:
Fourier Contour Embedding for Arbitrary-Shaped Text Detection. CVPR 2021: 3123-3131 - [c28]Xiaoyu Yue, Shuyang Sun, Zhanghui Kuang, Meng Wei, Philip H. S. Torr, Wayne Zhang, Dahua Lin:
Vision Transformer with Progressive Sampling. ICCV 2021: 377-386 - [c27]Yi Li, Zhanghui Kuang, Liyang Liu, Yimin Chen, Wayne Zhang:
Pseudo-mask Matters in Weakly-supervised Semantic Segmentation. ICCV 2021: 6944-6953 - [c26]Liyang Liu, Yi Li, Zhanghui Kuang, Jing-Hao Xue, Yimin Chen, Wenming Yang, Qingmin Liao, Wayne Zhang:
Towards Impartial Multi-task Learning. ICLR 2021 - [c25]Liyang Liu, Shilong Zhang, Zhanghui Kuang, Aojun Zhou, Jing-Hao Xue, Xinjiang Wang, Yimin Chen, Wenming Yang, Qingmin Liao, Wayne Zhang:
Group Fisher Pruning for Practical Network Compression. ICML 2021: 7021-7032 - [c24]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, Dahua Lin:
MMOCR: A Comprehensive Toolbox for Text Detection, Recognition and Understanding. ACM Multimedia 2021: 3791-3794 - [i17]Hongbin Sun, Zhanghui Kuang, Xiaoyu Yue, Chenhao Lin, Wayne Zhang:
Spatial Dual-Modality Graph Reasoning for Key Information Extraction. CoRR abs/2103.14470 (2021) - [i16]Yiqin Zhu, Jianyong Chen, Lingyu Liang, Zhanghui Kuang, Lianwen Jin, Wayne Zhang:
Fourier Contour Embedding for Arbitrary-Shaped Text Detection. CoRR abs/2104.10442 (2021) - [i15]Liyang Liu, Shilong Zhang, Zhanghui Kuang, Aojun Zhou, Jing-Hao Xue, Xinjiang Wang, Yimin Chen, Wenming Yang, Qingmin Liao, Wayne Zhang:
Group Fisher Pruning for Practical Network Compression. CoRR abs/2108.00708 (2021) - [i14]Xiaoyu Yue, Shuyang Sun, Zhanghui Kuang, Meng Wei, Philip H. S. Torr, Wayne Zhang, Dahua Lin:
Vision Transformer with Progressive Sampling. CoRR abs/2108.01684 (2021) - [i13]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, Dahua Lin:
MMOCR: A Comprehensive Toolbox for Text Detection, Recognition and Understanding. CoRR abs/2108.06543 (2021) - [i12]Yi Li, Zhanghui Kuang, Liyang Liu, Yimin Chen, Wayne Zhang:
Pseudo-mask Matters inWeakly-supervised Semantic Segmentation. CoRR abs/2108.12995 (2021) - [i11]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. CoRR abs/2112.07431 (2021) - 2020
- [c23]Xiaoyu Yue, Zhanghui Kuang, Chenhao Lin, Hongbin Sun, Wayne Zhang:
RobustScanner: Dynamically Enhancing Positional Clues for Robust Text Recognition. ECCV (19) 2020: 135-151 - [c22]Jianchao Wu, Zhanghui Kuang, Limin Wang, Wayne Zhang, Gangshan Wu:
Context-Aware RCNN: A Baseline for Action Detection in Videos. ECCV (25) 2020: 440-456 - [i10]Xiaoyu Yue, Zhanghui Kuang, Chenhao Lin, Hongbin Sun, Wayne Zhang:
RobustScanner: Dynamically Enhancing Positional Clues for Robust Text Recognition. CoRR abs/2007.07542 (2020) - [i9]Jianchao Wu, Zhanghui Kuang, Limin Wang, Wayne Zhang, Gangshan Wu:
Context-Aware RCNN: A Baseline for Action Detection in Videos. CoRR abs/2007.09861 (2020)
2010 – 2019
- 2019
- [c21]Shitao Tang, Litong Feng, Wenqi Shao, Zhanghui Kuang, Wayne Zhang, Zheng Lu:
Learning Efficient Detector with Semi-supervised Adaptive Distillation. BMVC 2019: 215 - [c20]Yi Li, Zhanghui Kuang, Yimin Chen, Wayne Zhang:
Data-Driven Neuron Allocation for Scale Aggregation Networks. CVPR 2019: 11526-11534 - [c19]Zhanghui Kuang, Yiming Gao, Guanbin Li, Ping Luo, Yimin Chen, Liang Lin, Wayne Zhang:
Fashion Retrieval via Graph Reasoning Networks on a Similarity Pyramid. ICCV 2019: 3066-3075 - [c18]Jiaqi Duan, Youjiang Xu, Zhanghui Kuang, Xiaoyu Yue, Hongbin Sun, Yue Guan, Wayne Zhang:
Geometry Normalization Networks for Accurate Scene Text Detection. ICCV 2019: 9136-9145 - [c17]Zhenfang Chen, Zhanghui Kuang, Wayne Zhang, Kwan-Yee K. Wong:
Learning Local Similarity with Spatial Relations for Object Retrieval. ACM Multimedia 2019: 1703-1711 - [i8]Shitao Tang, Litong Feng, Wenqi Shao, Zhanghui Kuang, Wei Zhang, Yimin Chen:
Learning Efficient Detector with Semi-supervised Adaptive Distillation. CoRR abs/1901.00366 (2019) - [i7]Yi Li, Zhanghui Kuang, Yimin Chen, Wayne Zhang:
Data-Driven Neuron Allocation for Scale Aggregation Networks. CoRR abs/1904.09460 (2019) - [i6]Zhanghui Kuang, Yiming Gao, Guanbin Li, Ping Luo, Yimin Chen, Liang Lin, Wayne Zhang:
Fashion Retrieval via Graph Reasoning Networks on a Similarity Pyramid. CoRR abs/1908.11754 (2019) - [i5]Youjiang Xu, Jiaqi Duan, Zhanghui Kuang, Xiaoyu Yue, Hongbin Sun, Yue Guan, Wayne Zhang:
Geometry Normalization Networks for Accurate Scene Text Detection. CoRR abs/1909.00794 (2019) - 2018
- [c16]Shitao Tang, Litong Feng, Zhanghui Kuang, Yimin Chen, Wei Zhang:
Fast Video Shot Transition Localization with Deep Structured Models. ACCV (1) 2018: 577-592 - [c15]Xiaoyu Yue, Zhanghui Kuang, Zhaoyang Zhang, Zhenfang Chen, Pan He, Yu Qiao, Wei Zhang:
Boosting up Scene Text Detectors with Guided CNN. BMVC 2018: 307 - [c14]Shuyang Sun, Zhanghui Kuang, Lu Sheng, Wanli Ouyang, Wei Zhang:
Optical Flow Guided Feature: A Fast and Robust Motion Representation for Video Action Recognition. CVPR 2018: 1390-1399 - [c13]Zhaoyang Zhang, Zhanghui Kuang, Ping Luo, Litong Feng, Wei Zhang:
Temporal Sequence Distillation: Towards Few-Frame Action Recognition in Videos. ACM Multimedia 2018: 257-264 - [c12]Litong Feng, Ziyin Li, Zhanghui Kuang, Wei Zhang:
Extractive Video Summarizer with Memory Augmented Neural Networks. ACM Multimedia 2018: 976-983 - [i4]Xiaoyu Yue, Zhanghui Kuang, Zhaoyang Zhang, Zhenfang Chen, Pan He, Yu Qiao, Wei Zhang:
Boosting up Scene Text Detectors with Guided CNN. CoRR abs/1805.04132 (2018) - [i3]Shitao Tang, Litong Feng, Zhanghui Kuang, Yimin Chen, Wei Zhang:
Fast Video Shot Transition Localization with Deep Structured Models. CoRR abs/1808.04234 (2018) - [i2]Zhaoyang Zhang, Zhanghui Kuang, Ping Luo, Litong Feng, Wei Zhang:
Temporal Sequence Distillation: Towards Few-Frame Action Recognition in Videos. CoRR abs/1808.05085 (2018) - 2017
- [c11]Zhenfang Chen, Zhanghui Kuang, Kwan-Yee K. Wong, Wei Zhang:
Aggregated Deep Feature from Activation Clusters for Particular Object Retrieval. ACM Multimedia (Thematic Workshops) 2017: 44-51 - [i1]Shuyang Sun, Zhanghui Kuang, Wanli Ouyang, Lu Sheng, Wei Zhang:
Optical Flow Guided Feature: A Fast and Robust Motion Representation for Video Action Recognition. CoRR abs/1711.11152 (2017) - 2016
- [c10]Xuhui Jia, Heng Yang, Xiaolong Zhu, Zhanghui Kuang, Yifeng Niu, Kwok-Ping Chan:
Reflective Regression of 2D-3D Face Shape Across Large Pose. BMVC 2016 - 2015
- [j3]Zhanghui Kuang, Kwan-Yee Kenneth Wong:
Relatively-Paired Space Analysis: Learning a Latent Common Space From Relatively-Paired Observations. Int. J. Comput. Vis. 113(3): 176-192 (2015) - [c9]Zhanghui Kuang, Chen Huang, Wei Zhang:
Deeply Learned Rich Coding for Cross-Dataset Facial Age Estimation. ICCV Workshops 2015: 338-343 - 2014
- [b1]Zhanghui Kuang:
Learning structural SVMs and its applications in computer vision. University of Hong Kong, 2014 - 2013
- [c8]Zhanghui Kuang, Kwan-Yee Kenneth Wong:
Relatively-Paired Space Analysis. BMVC 2013 - [c7]Zhanghui Kuang, Jian Sun, Kwan-Yee Kenneth Wong:
Learning Regularized, Query-Dependent Bilinear Similarities for Large Scale Image Retrieval. CVPR Workshops 2013: 413-420 - 2012
- [c6]Zhanghui Kuang, Dirk Schnieders, Hao Zhou, Kwan-Yee Kenneth Wong, Yizhou Yu, Bo Peng:
Learning image-specific parameters for interactive segmentation. CVPR 2012: 590-597 - [c5]Hao Zhou, Zhanghui Kuang, Kwan-Yee Kenneth Wong:
Markov Weight Fields for face sketch synthesis. CVPR 2012: 1091-1097 - 2011
- [j2]Jiahai Wang, Zhanghui Kuang, Yalan Zhou, Rong Long Wang:
Improved stochastic competitive Hopfield network for polygonal approximation. Expert Syst. Appl. 38(4): 4109-4125 (2011) - [c4]Zhanghui Kuang, Hao Zhou, Kwan-Yee Kenneth Wong:
Accurate Foreground Segmentation without Pre-learning. ICIG 2011: 331-337 - 2010
- [c3]Zhanghui Kuang, Guodong Pan, Kwan-Yee Kenneth Wong:
Local multiple orientations estimation using k-medoids. ICIP 2010: 109-112
2000 – 2009
- 2009
- [j1]Jiahai Wang, Zhanghui Kuang, Xinshun Xu, Yalan Zhou:
Discrete particle swarm optimization based on estimation of distribution for polygonal approximation problems. Expert Syst. Appl. 36(5): 9398-9408 (2009) - 2008
- [c2]Zhanghui Kuang, Wei Bi, Jiahai Wang:
Competitive Hopfield Neural Network with Periodic Stochastic Dynamics for Partitional Clustering. ISICA 2008: 280-289 - [c1]Ying Zhou, Zhanghui Kuang, Jiahai Wang:
A Chaotic Neural Network Combined Heuristic Strategy for Multidimensional Knapsack Problem. ISICA 2008: 715-722
Coauthor Index
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