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ORCIDShenghua Zhong
Sheng-hua Zhong – Sheng-Hua Zhong
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2020 – today
- 2024
[j40]Zhi Zhang
, Sheng-hua Zhong, Yan Liu:
TorchEEGEMO: A deep learning toolbox towards EEG-based emotion recognition. Expert Syst. Appl. 249: 123550 (2024)- [j39]Yabo Liu, Jinghua Wang, Sheng-hua Zhong, Lianyang Ma, Yong Xu:
Fine-Grained Representation Alignment for Zero-Shot Domain Adaptation. IEEE Trans. Multim. 26: 6285-6296 (2024) - [c66]Zhejing Hu, Yan Liu, Gong Chen, Xiao Ma, Shenghua Zhong, Qianwen Luo:
Responding to the Call: Exploring Automatic Music Composition Using a Knowledge-Enhanced Model. AAAI 2024: 521-529 - [c65]Zhi Zhang, Shenghua Zhong, Yan Liu:
Beyond Mimicking Under-Represented Emotions: Deep Data Augmentation with Emotional Subspace Constraints for EEG-Based Emotion Recognition. AAAI 2024: 10252-10260 - [c64]Xiangru Lin, Shenghua Zhong, Yan Liu, Gong Chen:
Sal-Guide Diffusion: Saliency Maps Guide Emotional Image Generation through Adapter. ICME 2024: 1-6 - [c63]Tianyi Wang, Shenghua Zhong:
Fingerprinting in EEG Model IP Protection Using Diffusion Model. ICMR 2024: 120-128 - [c62]Weixing Liu, Shenghua Zhong:
MarginFinger: Controlling Generated Fingerprint Distance to Classification boundary Using Conditional GANs. ICMR 2024: 129-136 - [c61]Linhao Zhou, Sheng-Hua Zhong, Zhijiao Xiao:
Discovering Multi-Relational Integration for Knowledge Tracing with Retentive Networks. ICMR 2024: 960-968 - [c60]Xin Zhang, Shenghua Zhong, Jianmin Jiang:
Effective Optimization of Root Selection Towards Improved Explanation of Deep Classifiers. ACM Multimedia 2024: 5365-5373 - [i13]Yuncong Li, Tianhua Xu, Sheng-hua Zhong, Haiqin Yang:
EasyECR: A Library for Easy Implementation and Evaluation of Event Coreference Resolution Models. CoRR abs/2406.14106 (2024) - [i12]Jiaxin Wu, Chong-Wah Ngo, Wing-Kwong Chan, Sheng-Hua Zhong:
LLM-based query paraphrasing for video search. CoRR abs/2407.12341 (2024) - 2023
- [j38]Bruce X. B. Yu, Yan Liu, Xiang Zhang, Sheng-hua Zhong, Keith C. C. Chan:
MMNet: A Model-Based Multimodal Network for Human Action Recognition in RGB-D Videos. IEEE Trans. Pattern Anal. Mach. Intell. 45(3): 3522-3538 (2023) - [j37]Yongxu Liu, Yan Liu, Bruce X. B. Yu, Sheng-hua Zhong, Zhejing Hu:
Noise-robust oversampling for imbalanced data classification. Pattern Recognit. 133: 109008 (2023) - [j36]Zhi Zhang, Yan Liu, Sheng-hua Zhong:
GANSER: A Self-Supervised Data Augmentation Framework for EEG-Based Emotion Recognition. IEEE Trans. Affect. Comput. 14(3): 2048-2063 (2023) - [c59]Wenjie Rao, Sheng-Hua Zhong, Zhi Zhang, Yan Liu:
Knowledge-guided Network Pruning for EEG-based Emotion Recognition. BIBM 2023: 2187-2190 - [c58]Bruce X. B. Yu, Zhi Zhang, Yongxu Liu, Sheng-Hua Zhong, Yan Liu, Chang Wen Chen:
GLA-GCN: Global-local Adaptive Graph Convolutional Network for 3D Human Pose Estimation from Monocular Video. ICCV 2023: 8784-8795 - [c57]Tianhua Xu, Sheng-hua Zhong, Zhijiao Xiao:
Protecting Intellectual Property of EEG-based Model with Watermarking. ICME 2023: 37-42 - [c56]Wenjie Rao, Sheng-hua Zhong:
EEG Model Compression by Network Pruning for Emotion Recognition. IJCNN 2023: 1-8 - [c55]Yaoqing Li, Sheng-Hua Zhong, Shuai Li, Yan Liu:
A Robust Deep Learning Enhanced Monocular SLAM System for Dynamic Environments. ICMR 2023: 508-515 - [i11]Bruce X. B. Yu, Zhi Zhang, Yongxu Liu, Sheng-hua Zhong, Yan Liu, Chang Wen Chen:
GLA-GCN: Global-local Adaptive Graph Convolutional Network for 3D Human Pose Estimation from Monocular Video. CoRR abs/2307.05853 (2023) - 2022
- [j35]Jingxu Lin, Sheng-hua Zhong, Ahmed Fares:
Deep hierarchical LSTM networks with attention for video summarization. Comput. Electr. Eng. 97: 107618 (2022) - [j34]Zhi Zhang, Sheng-hua Zhong, Ahmed Fares, Yan Liu:
Detecting abnormality with separated foreground and background: Mutual Generative Adversarial Networks for video abnormal event detection. Comput. Vis. Image Underst. 219: 103416 (2022) - [j33]Sheng-Hua Zhong, Jingxu Lin, Jianglin Lu, Ahmed Fares, Tongwei Ren:
Deep Semantic and Attentive Network for Unsupervised Video Summarization. ACM Trans. Multim. Comput. Commun. Appl. 18(2): 55:1-55:21 (2022) - [c54]Chen Cui, Ying Zhang, Shenghua Zhong:
Explanations of Deep Networks on EEG Data via Interpretable Approaches. CBMS 2022: 171-176 - [c53]Yuncong Li, Cunxiang Yin, Yancheng He, Guoqiang Xu, Jing Cai, Leeven Luo, Sheng-hua Zhong:
Modeling User Repeat Consumption Behavior for Online Novel Recommendation. RecSys 2022: 14-24 - [c52]Yuncong Li, Fang Wang, Sheng-Hua Zhong:
Training Entire-Space Models for Target-oriented Opinion Words Extraction. SIGIR 2022: 1875-1879 - [i10]Yuncong Li, Fang Wang, Sheng-Hua Zhong:
Training Entire-Space Models for Target-oriented Opinion Words Extraction. CoRR abs/2204.07337 (2022) - [i9]Yuncong Li, Cunxiang Yin, Yancheng He, Guoqiang Xu, Jing Cai, Leeven Luo, Sheng-hua Zhong:
Modeling User Repeat Consumption Behavior for Online Novel Recommendation. CoRR abs/2209.01963 (2022) - [i8]Yuncong Li, Fang Wang, Sheng-Hua Zhong:
A Better Choice: Entire-space Datasets for Aspect Sentiment Triplet Extraction. CoRR abs/2212.09052 (2022) - 2021
- [j32]Sheng-Hua Zhong, Jianfeng Peng, Peiqi Liu:
Question generation based on chat-response conversion. Concurr. Comput. Pract. Exp. 33(15) (2021) - [j31]Zhi Zhang, Mingjie Zheng, Sheng-hua Zhong, Yan Liu:
Steganographer detection via a similarity accumulation graph convolutional network. Neural Networks 136: 97-111 (2021) - [j30]Yunyun Yang, Yunna Yang, Sheng-Hua Zhong:
Multi-phase level set method for precise segmentation and correction of brain MRI. Signal Image Video Process. 15(1): 53-61 (2021) - [j29]Jianmin Jiang, Ahmed Fares, Sheng-Hua Zhong:
A Brain-Media Deep Framework Towards Seeing Imaginations Inside Brains. IEEE Trans. Multim. 23: 1454-1465 (2021) - [c51]Zhi Zhang, Sheng-hua Zhong, Yan Liu:
Video Abnormal Event Detection Via Context Cueing Generative Adversarial Network. ICME 2021: 1-6 - [c50]Mingyan Bai, Shenghua Zhong, Pengyu Yan, Zhibin Chen, Zhixian Zhang:
A Data-Driven Near-Optimization Approach for Smart Parking Management Platforms. ICNSC 2021: 1-6 - [c49]Fang Wang, Yuncong Li, Sheng-hua Zhong, Cunxiang Yin, Yancheng He:
Aspect-Sentiment-Multiple-Opinion Triplet Extraction. NLPCC (1) 2021: 583-594 - [c48]Beichuan Zhang, Zhijiao Xiao, Sheng-hua Zhong:
Recurrent Neural Graph Collaborative Filtering. SEKE 2021: 315-320 - [c47]Beichuan Zhang, Zhijiao Xiao, Sheng-hua Zhong:
Deep Self-Attention for Sequential Recommendation (S). SEKE 2021: 321-326 - [i7]Fang Wang, Yuncong Li, Wenjun Zhang, Sheng-hua Zhong:
A More Fine-Grained Aspect-Sentiment-Opinion Triplet Extraction Task. CoRR abs/2103.15255 (2021) - [i6]Zhi Zhang, Sheng-hua Zhong, Yan Liu:
GANSER: A Self-supervised Data Augmentation Framework for EEG-based Emotion Recognition. CoRR abs/2109.03124 (2021) - [i5]Fang Wang, Yuncong Li, Sheng-hua Zhong, Cunxiang Yin, Yancheng He:
Aspect-Sentiment-Multiple-Opinion Triplet Extraction. CoRR abs/2110.07303 (2021) - 2020
- [j28]Sheng-hua Zhong, Xingsheng Huang, Zhijiao Xiao:
Fine-art painting classification via two-channel dual path networks. Int. J. Mach. Learn. Cybern. 11(1): 137-152 (2020) - [j27]Jiaxin Wu, Sheng-hua Zhong, Yan Liu:
Dynamic graph convolutional network for multi-video summarization. Pattern Recognit. 107: 107382 (2020) - [j26]Sheng-Hua Zhong, Peiqi Liu, Zhong Ming, Yan Liu:
How to Evaluate Single-Round Dialogues Like Humans: An Information-Oriented Metric. IEEE ACM Trans. Audio Speech Lang. Process. 28: 2211-2223 (2020) - [j25]Songtao Wu, Sheng-hua Zhong, Yan Liu:
A Novel Convolutional Neural Network for Image Steganalysis With Shared Normalization. IEEE Trans. Multim. 22(1): 256-270 (2020) - [j24]Sheng-Hua Zhong, Yuantian Wang, Tongwei Ren, Mingjie Zheng, Yan Liu, Gangshan Wu:
Steganographer Detection via Multi-Scale Embedding Probability Estimation. ACM Trans. Multim. Comput. Commun. Appl. 15(4): 103:1-103:23 (2020) - [c46]Yuncong Li, Cunxiang Yin, Sheng-hua Zhong, Huiqiang Zhong, Jinchang Luo, Siqi Xu, Xiaohui Wu:
Better Queries for Aspect-Category Sentiment Classification. CNCL 2020: 347-358 - [c45]Yuncong Li, Cunxiang Yin, Sheng-hua Zhong, Xu Pan:
Multi-Instance Multi-Label Learning Networks for Aspect-Category Sentiment Analysis. EMNLP (1) 2020: 3550-3560 - [c44]Zhi Zhang, Mingjie Zheng, Sheng-hua Zhong, Yan Liu:
Steganographer Detection Via Enhancement-Aware Graph Convolutional Network. ICME 2020: 1-6 - [c43]Jingxu Lin, Sheng-hua Zhong:
Bi-Directional Self-Attention with Relative Positional Encoding for Video Summarization. ICTAI 2020: 1161-1166 - [c42]Zhejing Hu, Yan Liu, Gong Chen, Sheng-hua Zhong, Aiwei Zhang:
Make Your Favorite Music Curative: Music Style Transfer for Anxiety Reduction. ACM Multimedia 2020: 1189-1197 - [c41]Ahmed Fares, Sheng-hua Zhong, Jianmin Jiang:
Brain-media: A Dual Conditioned and Lateralization Supported GAN (DCLS-GAN) towards Visualization of Image-evoked Brain Activities. ACM Multimedia 2020: 1764-1772 - [c40]Yaoqing Li, Sheng-hua Zhong, Tongwei Ren, Yan Liu:
Fusing CAMs-weighted features and temporal information for robust loop closure detection. MMAsia 2020: 56:1-56:7 - [c39]Yuncong Li, Cunxiang Yin, Sheng-hua Zhong:
Sentence Constituent-Aware Aspect-Category Sentiment Analysis with Graph Attention Networks. NLPCC (1) 2020: 815-827 - [i4]Yuncong Li, Cunxiang Yin, Sheng-hua Zhong:
Sentence Constituent-Aware Aspect-Category Sentiment Analysis with Graph Attention Networks. CoRR abs/2010.01461 (2020) - [i3]Yuncong Li, Cunxiang Yin, Sheng-hua Zhong, Xu Pan:
Multi-Instance Multi-Label Learning Networks for Aspect-Category Sentiment Analysis. CoRR abs/2010.02656 (2020)
2010 – 2019
- 2019
- [j23]Zheng Ma, Jiaxin Wu, Sheng-hua Zhong, Jianmin Jiang, Stephen J. Heinen:
Human Eye Movements Reveal Video Frame Importance. Computer 52(5): 48-57 (2019) - [j22]Yingying Zhu, Min Tong, Zhengbo Jiang, Sheng-hua Zhong, Qi Tian:
Hybrid feature-based analysis of video's affective content using protagonist detection. Expert Syst. Appl. 128: 316-326 (2019) - [j21]Sheng-hua Zhong, Jiaxin Wu, Jianmin Jiang:
Video summarization via spatio-temporal deep architecture. Neurocomputing 332: 224-235 (2019) - [j20]Mingjie Zheng, Jianmin Jiang, Songtao Wu, Sheng-hua Zhong, Yan Liu:
Content-adaptive selective steganographer detection via embedding probability estimation deep networks. Neurocomputing 365: 336-348 (2019) - [j19]Ahmed Fares, Sheng-hua Zhong, Jianmin Jiang:
EEG-based image classification via a region-level stacked bi-directional deep learning framework. BMC Medical Informatics Decis. Mak. 19-S(6): 268 (2019) - [j18]Yuantian Wang, Lei Huang, Tongwei Ren, Sheng-hua Zhong, Han Gu, Yan Liu:
Insights of object proposal evaluation. Multim. Tools Appl. 78(10): 13111-13130 (2019) - [j17]Jianmin Jiang, Ahmed Fares, Sheng-Hua Zhong:
A Context-Supported Deep Learning Framework for Multimodal Brain Imaging Classification. IEEE Trans. Hum. Mach. Syst. 49(6): 611-622 (2019) - [c38]Zheng Ma, Jiaxin Wu, Sheng-hua Zhong, Stephen J. Heinen:
Object-based and multi-frame motion information predict human eye movement patterns during video viewing. HVEI 2019 - [c37]Xianqiang Liu, Xiaoyan Zhang, Sheng-hua Zhong:
Motion Capture based Dynamic Assessment of Hip Joint Cartilage Contact Pressure during Daily Activities. ICBBT 2019: 124-131 - [c36]Jiaxin Wu, Sheng-Hua Zhong, Yan Liu:
MvsGCN: A Novel Graph Convolutional Network for Multi-video Summarization. ACM Multimedia 2019: 827-835 - [c35]Sheng-hua Zhong, Ahmed Fares, Jianmin Jiang:
An Attentional-LSTM for Improved Classification of Brain Activities Evoked by Images. ACM Multimedia 2019: 1295-1303 - [i2]Songtao Wu, Sheng-hua Zhong, Yan Liu, Mengyuan Liu:
CIS-Net: A Novel CNN Model for Spatial Image Steganalysis via Cover Image Suppression. CoRR abs/1912.06540 (2019) - 2018
- [j16]Songtao Wu, Sheng-hua Zhong, Yan Liu:
Deep residual learning for image steganalysis. Multim. Tools Appl. 77(9): 10437-10453 (2018) - [j15]Yuantian Wang, Tongwei Ren, Sheng-hua Zhong, Yan Liu, Gangshan Wu:
Adaptive saliency cuts. Multim. Tools Appl. 77(17): 22213-22230 (2018) - [j14]Jiaxin Wu, Sheng-hua Zhong, Zheng Ma, Stephen J. Heinen, Jianmin Jiang:
Foveated convolutional neural networks for video summarization. Multim. Tools Appl. 77(22): 29245-29267 (2018) - [c34]Ahmed Fares, Sheng-hua Zhong, Jianmin Jiang:
Region level Bi-directional Deep Learning Framework for EEG-based Image Classification. BIBM 2018: 368-373 - [c33]Xianqiang Liu, Xiaoyan Zhang, Sheng-hua Zhong, Jianmin Jiang:
Dynamic Assessment of Contact Pressure Changes in the Hip Joint Cartilage During Daily Activities. ICSAI 2018: 570-575 - [c32]Peiqi Liu, Sheng-hua Zhong, Zhong Ming, Yan Liu:
Information-Oriented Evaluation Metric for Dialogue Response Generation Systems. ICTAI 2018: 780-785 - [c31]Mingjie Zheng, Sheng-hua Zhong, Songtao Wu, Jianmin Jiang:
Steganographer Detection based on Multiclass Dilated Residual Networks. ICMR 2018: 300-308 - [c30]Gong Chen, Yan Liu, Sheng-hua Zhong, Xiang Zhang:
Musicality-Novelty Generative Adversarial Nets for Algorithmic Composition. ACM Multimedia 2018: 1607-1615 - [c29]Fang Wang, Sheng-hua Zhong, Jianfeng Peng, Jianmin Jiang, Yan Liu:
Data Augmentation for EEG-Based Emotion Recognition with Deep Convolutional Neural Networks. MMM (2) 2018: 82-93 - [c28]Dongdong Gui, Sheng-hua Zhong, Zhong Ming:
Implicit Affective Video Tagging Using Pupillary Response. MMM (2) 2018: 165-176 - [c27]Jiaxin Wu, Sheng-hua Zhong, Zheng Ma, Stephen J. Heinen, Jianmin Jiang:
Gaze Aware Deep Learning Model for Video Summarization. PCM (2) 2018: 285-295 - 2017
- [j13]Sheng-hua Zhong, Yanhong Li, Yan Liu, Zhiqiang Wang:
A computational investigation of learning behaviors in MOOCs. Comput. Appl. Eng. Educ. 25(5): 693-705 (2017) - [j12]Jing Liu, Tongwei Ren, Yuantian Wang, Sheng-hua Zhong, Jia Bei, Shengchao Chen:
Object proposal on RGB-D images via elastic edge boxes. Neurocomputing 236: 134-146 (2017) - [j11]Jiaxin Wu, Sheng-hua Zhong, Jianmin Jiang, Yunyun Yang:
A novel clustering method for static video summarization. Multim. Tools Appl. 76(7): 9625-9641 (2017) - [j10]Yan Liu, Yang Liu, Sheng-hua Zhong, Songtao Wu:
Implicit Visual Learning: Image Recognition via Dissipative Learning Model. ACM Trans. Intell. Syst. Technol. 8(2): 31:1-31:24 (2017) - [c26]Gong Chen, Yan Liu, Jiannong Cao, Sheng-hua Zhong, Yang Liu, Yuexian Hou, Peng Zhang:
Learning Music Emotions via Quantum Convolutional Neural Network. BI 2017: 49-58 - [c25]Yunyun Yang, Xiu Shu, Sheng-hua Zhong:
Active contour model combining local and global information dynamically with application to segment brain MR images. ICBEA 2017: 45-49 - [c24]Mingjie Zheng, Sheng-hua Zhong, Songtao Wu, Jianmin Jiang:
Steganographer detection via deep residual network. ICME 2017: 235-240 - [c23]Songtao Wu, Sheng-hua Zhong, Yan Liu:
Residual convolution network based steganalysis with adaptive content suppression. ICME 2017: 241-246 - [c22]Yuantian Wang, Lei Huang, Tongwei Ren, Sheng-hua Zhong, Yan Liu, Gangshan Wu:
Object Proposal via Depth Connectivity Constrained Grouping. PCM (2) 2017: 34-44 - [c21]Xingsheng Huang, Sheng-hua Zhong, Zhijiao Xiao:
Fine-Art Painting Classification via Two-Channel Deep Residual Network. PCM (2) 2017: 79-88 - [c20]Rong-Qin Xu, Sheng-hua Zhong, Gaoyang Tang, Jiaxin Wu, Yingying Zhu:
Adaptive Dehaze Method for Aerial Image Processing. PSIVT 2017: 290-301 - [i1]Songtao Wu, Sheng-hua Zhong, Yan Liu:
A Novel Convolutional Neural Network for Image Steganalysis with Shared Normalization. CoRR abs/1711.07306 (2017) - 2016
- [j9]Sheng-hua Zhong, Yan Liu, To-Yee Ng, Yang Liu:
Perception-oriented video saliency detection via spatio-temporal attention analysis. Neurocomputing 207: 178-188 (2016) - [j8]Sheng-hua Zhong, Yan Liu, Kien A. Hua:
Field Effect Deep Networks for Image Recognition with Incomplete Data. ACM Trans. Multim. Comput. Commun. Appl. 12(4): 52:1-52:22 (2016) - [c19]Songtao Wu, Sheng-hua Zhong, Yan Liu:
Steganalysis via Deep Residual Network. ICPADS 2016: 1233-1236 - [c18]Sheng-hua Zhong, Jiaxin Wu, Yingying Zhu, Peiqi Liu, Jianmin Jiang, Yan Liu:
Visual Orientation Inhomogeneity Based Convolutional Neural Networks. ICTAI 2016: 477-484 - [c17]Mei Su, Sheng-hua Zhong, Jianmin Jiang:
Transfer Learning Based on A+ for Image Super-Resolution. KSEM 2016: 325-336 - [c16]Yingying Zhu, Zhengbo Jiang, Jianfeng Peng, Sheng-hua Zhong:
Video Affective Content Analysis Based on Protagonist via Convolutional Neural Network. PCM (1) 2016: 170-180 - 2015
- [j7]Yu Zhao, Yan Liu, Yang Liu, Sheng-hua Zhong, Kien A. Hua:
Face recognition from a single registered image for conference socializing. Expert Syst. Appl. 42(3): 973-979 (2015) - [j6]Sheng-hua Zhong, Yan Liu, Qingcai Chen:
Visual orientation inhomogeneity based scale-invariant feature transform. Expert Syst. Appl. 42(13): 5658-5667 (2015) - [j5]Sheng-hua Zhong, Yang Liu, Bin Li, Jing Long:
Query-oriented unsupervised multi-document summarization via deep learning model. Expert Syst. Appl. 42(21): 8146-8155 (2015) - [j4]Zhijiao Xiao, Jianmin Jiang, Yingying Zhu, Zhong Ming, Sheng-hua Zhong, Shu-Bin Cai:
A solution of dynamic VMs placement problem for energy consumption optimization based on evolutionary game theory. J. Syst. Softw. 101: 260-272 (2015) - [c15]Songtao Wu, Yan Liu, Sheng-hua Zhong, Yang Liu:
What makes the stego image undetectable? ICIMCS 2015: 47:1-47:6 - [c14]Yingying Zhu, Chuanhua Jiang, Xiaoyan Huang, Zhijiao Xiao, Sheng-hua Zhong:
A Temporal-Compress and Shorter SIFT Research on Web Videos. KSEM 2015: 833-843 - 2014
- [j3]Sheng-hua Zhong, Yan Liu, Yang Liu, Fu-Lai Chung:
Region level annotation by fuzzy based contextual cueing label propagation. Multim. Tools Appl. 70(2): 625-645 (2014) - [c13]Zhen Yang, Shenghua Zhong, Aaron Carass, Sarah H. Ying, Jerry L. Prince:
Deep Learning for Cerebellar Ataxia Classification and Functional Score Regression. MLMI 2014: 68-76 - 2013
- [j2]Sheng-hua Zhong, Yan Liu, Yang Liu, Changsheng Li:
Water Reflection Recognition Based on Motion Blur Invariant Moments in Curvelet Space. IEEE Trans. Image Process. 22(11): 4301-4313 (2013) - [c12]Sheng-hua Zhong, Yan Liu, Feifei Ren, Jinghuan Zhang, Tongwei Ren:
Video Saliency Detection via Dynamic Consistent Spatio-Temporal Attention Modelling. AAAI 2013: 1063-1069 - 2012
- [j1]Yang Liu, Yan Liu, Sheng-hua Zhong, Keith C. C. Chan:
Tensor distance based multilinear globality preserving embedding: A unified tensor based dimensionality reduction framework for image and video classification. Expert Syst. Appl. 39(12): 10500-10511 (2012) - [c11]Yan Liu, Sheng-hua Zhong, Wenjie Li:
Query-Oriented Multi-Document Summarization via Unsupervised Deep Learning. AAAI 2012: 1699-1705 - [c10]Sheng-hua Zhong, Yan Liu, Yao Zhang, Fu-Lai Chung:
Attention Modeling for Face Recognition via Deep Learning. CogSci 2012 - [c9]Sheng-hua Zhong, Yan Liu, Korris Fu-Lai Chung, Gangshan Wu:
Semiconducting bilinear deep learning for incomplete image recognition. ICMR 2012: 32 - [c8]Sheng-hua Zhong, Yan Liu, Gangshan Wu:
S-SIFT: A Shorter SIFT without Least Discriminability Visual Orientation. Web Intelligence 2012: 669-672 - 2011
- [c7]Sheng-hua Zhong, Yan Liu, Ling Shao, Gangshan Wu:
Unsupervised saliency detection based on 2D Gabor and Curvelets transforms. ICIMCS 2011: 146-149 - [c6]Sheng-hua Zhong, Yan Liu, Ling Shao, Korris Fu-Lai Chung:
Water reflection recognition via minimizing reflection cost based on motion blur invariant moments. ICMR 2011: 5 - [c5]Sheng-hua Zhong, Yan Liu, Yang Liu:
Bilinear deep learning for image classification. ACM Multimedia 2011: 343-352 - [c4]Sheng-hua Zhong, Yan Liu, Yang Liu:
Bilinear deep learning for image classification. ACM Multimedia 2011: 883-884 - [c3]Yang Liu, Yan Liu, Sheng-hua Zhong, Keith C. C. Chan:
Semi-supervised manifold ordinal regression for image ranking. ACM Multimedia 2011: 1393-1396 - 2010
- [c2]Sheng-hua Zhong, Yan Liu, Yang Liu, Fu-Lai Chung:
Fuzzy based contextual cueing for region level annotation. ICIMCS 2010: 1-6 - [c1]Sheng-hua Zhong, Yan Liu, Yang Liu, Fu-Lai Chung:
A semantic no-reference image sharpness metric based on top-down and bottom-up saliency map modeling. ICIP 2010: 1553-1556
Coauthor Index
[j40] [c66] [c65] [c64] [j38] [j37] [j36] [c59] [c58] [c55] [i11] [j34] [j31] [c51] [i6] [j27] [j26] [j25] [j24] [c44] [c42] [c40] [j20] [j18] [c36] [i2] [j16] [j15] [c32] [c30] [c29] [j13] [j10] [c26] [c23] [c22] [i1] [j9] [j8] [c19] [c18] [j7] [j6] [c15] [j3] [j2] [c12] [j1] [c11] [c10] [c9] [c8] [c7] [c6] [c5] [c4] [c3] [c2] [c1]
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