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Qingming Jonathan Wu
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2020 – today
- 2021
[j208]Haixia Wang, Yehao Sun, Q. M. Jonathan Wu, Xiao Lu, Xiuling Wang, Zhiguo Zhang:
Self-supervised monocular depth estimation with direct methods. Neurocomputing 421: 340-348 (2021)- [j207]Shuchao Duan
, Zhenxue Chen, Q. M. Jonathan Wu, Lei Cai, Dan Lu:
Multi-Scale Gradients Self-Attention Residual Learning for Face Photo-Sketch Transformation. IEEE Trans. Inf. Forensics Secur. 16: 1218-1230 (2021) - [j206]Wandong Zhang, Q. M. Jonathan Wu, Yimin Yang, Thangarajah Akilan, Hui Zhang:
A Width-Growth Model With Subnetwork Nodes and Refinement Structure for Representation Learning and Image Classification. IEEE Trans. Ind. Informatics 17(3): 1562-1572 (2021) - [i9]Wandong Zhang, Q. M. Jonathan Wu, Yimin Yang, W. G. Will Zhao, Hui Zhang:
Multi-Model Least Squares-Based Recomputation Framework for Large Data Analysis. CoRR abs/2101.01271 (2021) - 2020
- [j205]Ling Zhang, Qingfeng Li, Q. M. Jonathan Wu:
Target Detection for HFSWR Based on an S3D Algorithm. IEEE Access 8: 224825-224836 (2020) - [j204]Xiaochun Xu, Yibing Li, Q. M. Jonathan Wu:
A Multiscale Hierarchical Threshold-Based Completed Local Entropy Binary Pattern for Texture Classification. Cogn. Comput. 12(1): 224-237 (2020) - [j203]Yi Cao, Zhili Zhou, Q. M. Jonathan Wu, Chengsheng Yuan, Xingming Sun:
Coverless information hiding based on the generation of anime characters. EURASIP J. Image Video Process. 2020(1): 36 (2020) - [j202]Haijun Zhang, Han Guo, Xinghao Wang, Yuzhu Ji, Q. M. Jonathan Wu:
Clothescounter: A framework for star-oriented clothes mining from videos. Neurocomputing 377: 38-48 (2020) - [j201]Xiexing Feng, Q. M. Jonathan Wu, Yimin Yang, Libo Cao:
An Autuencoder-based Data Augmentation Strategy for Generalization Improvement of DCNNs. Neurocomputing 402: 283-297 (2020) - [j200]Chengsheng Yuan, Xianyi Chen, Peipeng Yu, Ruohan Meng, Weijin Cheng, Q. M. Jonathan Wu, Xingming Sun:
Semi-supervised stacked autoencoder-based deep hierarchical semantic feature for real-time fingerprint liveness detection. J. Real Time Image Process. 17(1): 55-71 (2020) - [j199]Heshan Wang, Q. M. Jonathan Wu, Jianbin Xin, Jie Wang, Heng Zhang:
Optimizing Deep Belief Echo State Network with a Sensitivity Analysis Input Scaling Auto-Encoder algorithm. Knowl. Based Syst. 191: 105257 (2020) - [j198]Yanchun Wang, Zhenxue Chen, Q. M. Jonathan Wu, Xuewen Rong:
Deep mutual learning network for gait recognition. Multim. Tools Appl. 79(31-32): 22653-22672 (2020) - [j197]Mengxue Wang, Zhenxue Chen, Q. M. Jonathan Wu, Muwei Jian:
Improved face super-resolution generative adversarial networks. Mach. Vis. Appl. 31(4): 22 (2020) - [j196]Zhaoqing Li, Zhenxue Chen, Q. M. Jonathan Wu, Chengyun Liu:
Pedestrian detection via deep segmentation and context network. Neural Comput. Appl. 32(10): 5845-5857 (2020) - [j195]Yimin Yang, Q. M. Jonathan Wu, Xiexing Feng, Thangarajah Akilan:
Recomputation of the Dense Layers for Performance Improvement of DCNN. IEEE Trans. Pattern Anal. Mach. Intell. 42(11): 2912-2925 (2020) - [j194]Ling Zhang, Dongwei Mao, Jiong Niu, Q. M. Jonathan Wu, Yonggang Ji:
Continuous Tracking of Targets for Stereoscopic HFSWR Based on IMM Filtering Combined with ELM. Remote. Sens. 12(2): 272 (2020) - [j193]Di Zhu, Jiong Niu, Ming Li, Ling Zhang, Yonggang Ji, Q. M. Jonathan Wu:
Motion Parameter Identification and Motion Compensation for Shipborne HFSWR by Using the Reference RF Signal Generated at the Shore. Remote. Sens. 12(17): 2807 (2020) - [j192]Chengsheng Yuan, Zhihua Xia, Xingming Sun, Q. M. Jonathan Wu:
Deep Residual Network With Adaptive Learning Framework for Fingerprint Liveness Detection. IEEE Trans. Cogn. Dev. Syst. 12(3): 461-473 (2020) - [j191]Xiuqing Li, Zhenxue Chen, Q. M. Jonathan Wu, Chengyun Liu:
3D Parallel Fully Convolutional Networks for Real-Time Video Wildfire Smoke Detection. IEEE Trans. Circuits Syst. Video Technol. 30(1): 89-103 (2020) - [j190]Haijun Zhang, Yanfang Sun, Mingbo Zhao, Tommy W. S. Chow, Q. M. Jonathan Wu:
Bridging User Interest to Item Content for Recommender Systems: An Optimization Model. IEEE Trans. Cybern. 50(10): 4268-4280 (2020) - [j189]Zhili Zhou, Q. M. Jonathan Wu, Shaohua Wan, Wendi Sun, Xingming Sun:
Integrating SIFT and CNN Feature Matching for Partial-Duplicate Image Detection. IEEE Trans. Emerg. Top. Comput. Intell. 4(5): 593-604 (2020) - [j188]Xiating Jin, Yaonan Wang, Hui Zhang, Hang Zhong, Li Liu, Q. M. Jonathan Wu, Yimin Yang:
DM-RIS: Deep Multimodel Rail Inspection System With Improved MRF-GMM and CNN. IEEE Trans. Instrum. Meas. 69(4): 1051-1065 (2020) - [j187]Hui Zhang, Miao Zhao, Li Liu, Hang Zhong, Zhicong Liang, Yimin Yang, Xianen Zhou, Q. M. Jonathan Wu, Yaonan Wang:
Deep Multimodel Cascade Method Based on CNN and Random Forest for Pharmaceutical Particle Detection. IEEE Trans. Instrum. Meas. 69(9): 7028-7042 (2020) - [j186]Thangarajah Akilan, Qingming Jonathan Wu, Amin Safaei, Jie Huo, Yimin Yang:
A 3D CNN-LSTM-Based Image-to-Image Foreground Segmentation. IEEE Trans. Intell. Transp. Syst. 21(3): 959-971 (2020) - [j185]Akilan Thangarajah, Q. M. Jonathan Wu:
sEnDec: An Improved Image to Image CNN for Foreground Localization. IEEE Trans. Intell. Transp. Syst. 21(10): 4435-4443 (2020) - [j184]Zhili Zhou, Q. M. Jonathan Wu, Yimin Yang, Xingming Sun:
Region-Level Visual Consistency Verification for Large-Scale Partial-Duplicate Image Search. ACM Trans. Multim. Comput. Commun. Appl. 16(2): 54:1-54:25 (2020) - [c141]Honghao Li, Hui Zhang, Li Liu, Hang Zhong, Yaonan Wang, Q. M. Jonathan Wu:
Integrating Deformable Convolution and Pyramid Network in Cascade R-CNN for Fabric Defect Detection. SMC 2020: 3029-3036 - [c140]Abdul Muntakim Rafi, Shivang Rana, Rajwinder Kaur, Q. M. Jonathan Wu, Pooya Moradian Zadeh:
Understanding Global Reaction to the Recent Outbreaks of COVID-19: Insights from Instagram Data Analysis. SMC 2020: 3413-3420 - [i8]Wandong Zhang, Yimin Yang, Q. M. Jonathan Wu:
Deep Networks with Fast Retraining. CoRR abs/2008.07387 (2020) - [i7]Abdul Muntakim Rafi, Shivang Rana, Rajwinder Kaur, Q. M. Jonathan Wu, Pooya Moradian Zadeh:
Understanding Global Reaction to the Recent Outbreaks of COVID-19: Insights from Instagram Data Analysis. CoRR abs/2009.06862 (2020)
2010 – 2019
- 2019
- [j183]Chengsheng Yuan, Zhihua Xia, Leqi Jiang, Yi Cao, Q. M. Jonathan Wu, Xingming Sun:
Fingerprint Liveness Detection Using an Improved CNN With Image Scale Equalization. IEEE Access 7: 26953-26966 (2019) - [j182]Hui Zhang, Yurong Chen, Yanan Song, Zhenlin Xiong, Yimin Yang, Q. M. Jonathan Wu:
Automatic Kidney Lesion Detection for CT Images Using Morphological Cascade Convolutional Neural Networks. IEEE Access 7: 83001-83011 (2019) - [j181]Qi Cui, Zhili Zhou, Zhangjie Fu, Ruohan Meng, Xingming Sun, Q. M. Jonathan Wu:
Image Steganography Based on Foreground Object Generation by Generative Adversarial Networks in Mobile Edge Computing With Internet of Things. IEEE Access 7: 90815-90824 (2019) - [j180]Bo Xiao, Yujiao Du, Q. M. Jonathan Wu, Qianfang Xu, Liping Yan:
A Fast Hybrid Model for Large-Scale Zero-Shot Image Recognition Based on Knowledge Graphs. IEEE Access 7: 119309-119318 (2019) - [j179]Zhili Zhou, Yi Cao, Meimin Wang, Enming Fan, Q. M. Jonathan Wu:
Faster-RCNN Based Robust Coverless Information Hiding System in Cloud Environment. IEEE Access 7: 179891-179897 (2019) - [j178]Wandong Zhang, Qingzhong Li, Q. M. Jonathan Wu, Yimin Yang, Ming Li:
A Novel Ship Target Detection Algorithm Based on Error Self-adjustment Extreme Learning Machine and Cascade Classifier. Cogn. Comput. 11(1): 110-124 (2019) - [j177]Gaurav Bhatnagar, Q. M. Jonathan Wu:
A fractal dimension based framework for night vision fusion. IEEE CAA J. Autom. Sinica 6(1): 220-227 (2019) - [j176]Yuzhu Ji, Haijun Zhang, Kuo-Kun Tseng, Tommy W. S. Chow, Q. M. Jonathan Wu:
Graph model-based salient object detection using objectness and multiple saliency cues. Neurocomputing 323: 188-202 (2019) - [j175]Linlin Liu, Haijun Zhang, Yuzhu Ji, Q. M. Jonathan Wu:
Toward AI fashion design: An Attribute-GAN model for clothing match. Neurocomputing 341: 156-167 (2019) - [j174]Heshan Wang, Q. M. Jonathan Wu, Jie Wang, Wei Wu, Kunjie Yu:
Optimizing simple deterministically constructed cycle reservoir network with a Redundant Unit Pruning Auto-Encoder algorithm. Neurocomputing 356: 184-194 (2019) - [j173]Eman Mohammadi, Q. M. Jonathan Wu, Mehrdad Saif, Yimin Yang:
Hierarchical feature representation for unconstrained video analysis. Neurocomputing 363: 182-194 (2019) - [j172]Dan Lu, Zhenxue Chen, Q. M. Jonathan Wu, Xuetao Zhang:
FCN based preprocessing for exemplar-based face sketch synthesis. Neurocomputing 365: 113-124 (2019) - [j171]Di Zhao, Zhenxue Chen, Q. M. Jonathan Wu, Chengyun Liu:
Two-stage local details restoration framework for face hallucination. Mach. Vis. Appl. 30(1): 153-162 (2019) - [j170]Cuiping Li, Zhenxue Chen, Q. M. Jonathan Wu, Chengyun Liu:
Saliency object detection: integrating reconstruction and prior. Mach. Vis. Appl. 30(3): 397-406 (2019) - [j169]Kang Wang, Zhenxue Chen, Q. M. Jonathan Wu, Chengyun Liu:
Face recognition using AMVP and WSRC under variable illumination and pose. Neural Comput. Appl. 31(8): 3805-3818 (2019) - [j168]Zhaoqing Li, Zhenxue Chen, Q. M. Jonathan Wu, Chengyun Liu:
Real-time pedestrian detection with deep supervision in the wild. Signal Image Video Process. 13(4): 761-769 (2019) - [j167]Zhili Zhou, Yan Mu, Q. M. Jonathan Wu:
Coverless image steganography using partial-duplicate image retrieval. Soft Comput. 23(13): 4927-4938 (2019) - [j166]Chengsheng Yuan, Xingming Sun, Q. M. Jonathan Wu:
Difference co-occurrence matrix using BP neural network for fingerprint liveness detection. Soft Comput. 23(13): 5157-5169 (2019) - [j165]Amin Safaei, Q. M. Jonathan Wu, Akilan Thangarajah, Yimin Yang:
System-on-a-Chip (SoC)-Based Hardware Acceleration for an Online Sequential Extreme Learning Machine (OS-ELM). IEEE Trans. Comput. Aided Des. Integr. Circuits Syst. 38(11): 2127-2138 (2019) - [j164]Bahar Youssefi, Alexander J. Leigh, Mitra Mirhassani, Q. M. Jonathan Wu:
Tunable Neuron With PWL Approximation Based on the Minimum Operator. IEEE Trans. Circuits Syst. II Express Briefs 66-II(2): 387-391 (2019) - [j163]Xuetao Zhang, Zhenxue Chen, Q. M. Jonathan Wu, Lei Cai, Dan Lu, Xianming Li:
Fast Semantic Segmentation for Scene Perception. IEEE Trans. Ind. Informatics 15(2): 1183-1192 (2019) - [j162]Sima Soltanpour, Qingming Jonathan Wu:
Weighted Extreme Sparse Classifier and Local Derivative Pattern for 3D Face Recognition. IEEE Trans. Image Process. 28(6): 3020-3033 (2019) - [j161]Cuiping Li, Zhenxue Chen, Q. M. Jonathan Wu, Chengyun Liu:
Deep Saliency With Channel-Wise Hierarchical Feature Responses for Traffic Sign Detection. IEEE Trans. Intell. Transp. Syst. 20(7): 2497-2509 (2019) - [j160]Yimin Yang, Q. M. Jonathan Wu:
Features Combined From Hundreds of Midlayers: Hierarchical Networks With Subnetwork Nodes. IEEE Trans. Neural Networks Learn. Syst. 30(11): 3313-3325 (2019) - [j159]Akilan Thangarajah, Q. M. Jonathan Wu, Wandong Zhang:
Video Foreground Extraction Using Multi-View Receptive Field and Encoder-Decoder DCNN for Traffic and Surveillance Applications. IEEE Trans. Veh. Technol. 68(10): 9478-9493 (2019) - [c139]Chengsheng Yuan, Q. M. Jonathan Wu:
Fingerprint Liveness Detection Based on Multi-modal Fine-Grained Feature Fusion. ICSM 2019: 417-428 - [c138]Guang Deng, Hui Zhang, Hang Zhong, Zhiqiang Miao, Li Liu, Miao Yu, Q. M. Jonathan Wu:
Distributed Multi-Robot Formation Control Based on Two-Layer Nearest Neighbor Information(TNNI) Consensus. SMC 2019: 1091-1097 - 2018
- [j158]Akilan Thangarajah, Qingming Jonathan Wu, Hui Zhang:
Effect of fusing features from multiple DCNN architectures in image classification. IET Image Process. 12(7): 1102-1110 (2018) - [j157]Guang-Bin Huang, Q. M. Jonathan Wu, Donald C. Wunsch II:
Hierarchical extreme learning machines. Neurocomputing 277: 1-3 (2018) - [j156]Yuzhu Ji, Haijun Zhang, Q. M. Jonathan Wu:
Saliency detection via conditional adversarial image-to-image network. Neurocomputing 316: 357-368 (2018) - [j155]Cuiping Li, Zhenxue Chen, Q. M. Jonathan Wu, Chengyun Liu:
Deep saliency detection via channel-wise hierarchical feature responses. Neurocomputing 322: 80-92 (2018) - [j154]Yuzhu Ji, Haijun Zhang, Q. M. Jonathan Wu:
Salient object detection via multi-scale attention CNN. Neurocomputing 322: 130-140 (2018) - [j153]Akilan Thangarajah, Q. M. Jonathan Wu, Yimin Yang:
Fusion-based foreground enhancement for background subtraction using multivariate multi-model Gaussian distribution. Inf. Sci. 430: 414-431 (2018) - [j152]Amin Safaei, Q. M. Jonathan Wu, Yimin Yang:
System-on-a-chip (SoC)-based hardware acceleration for foreground and background identification. J. Frankl. Inst. 355(4): 1888-1912 (2018) - [j151]Zeeshan Khawar Malik, Amir Hussain, Q. M. Jonathan Wu:
Extracting online information from dual and multiple data streams. Neural Comput. Appl. 30(1): 87-98 (2018) - [j150]Jie Huo, Q. M. Jonathan Wu, Jiuwen Cao, Guanghui Wang:
Supervoxel based method for multi-atlas segmentation of brain MR images. NeuroImage 175: 201-214 (2018) - [j149]Zhili Zhou, Q. M. Jonathan Wu, Xingming Sun:
Encoding multiple contextual clues for partial-duplicate image retrieval. Pattern Recognit. Lett. 109: 18-26 (2018) - [j148]Ling Zhang, Wei You, Q. M. Jonathan Wu, Shengbo Qi, Yonggang Ji:
Deep Learning-Based Automatic Clutter/Interference Detection for HFSWR. Remote. Sens. 10(10): 1517 (2018) - [j147]Yanan Peng, Zhenxue Chen, Q. M. Jonathan Wu, Chengyun Liu:
Traffic flow detection and statistics via improved optical flow and connected region analysis. Signal Image Video Process. 12(1): 99-105 (2018) - [j146]Gangsheng Li, Liping Zeng, Ling Zhang, Q. M. Jonathan Wu:
State Identification of Duffing Oscillator Based on Extreme Learning Machine. IEEE Signal Process. Lett. 25(1): 25-29 (2018) - [j145]Yimin Yang, Q. M. Jonathan Wu, Wei-Long Zheng, Bao-Liang Lu:
EEG-Based Emotion Recognition Using Hierarchical Network With Subnetwork Nodes. IEEE Trans. Cogn. Dev. Syst. 10(2): 408-419 (2018) - [j144]Hui Zhang, Xuanlun Li, Hang Zhong, Yimin Yang, Q. M. Jonathan Wu, Ji Ge, Yaonan Wang:
Automated Machine Vision System for Liquid Particle Inspection of Pharmaceutical Injection. IEEE Trans. Instrum. Meas. 67(6): 1278-1297 (2018) - [j143]Hui Zhang, Xiating Jin, Q. M. Jonathan Wu, Yaonan Wang, Zhendong He, Yimin Yang:
Automatic Visual Detection System of Railway Surface Defects With Curvature Filter and Improved Gaussian Mixture Model. IEEE Trans. Instrum. Meas. 67(7): 1593-1608 (2018) - [j142]Haijun Zhang, Shuang Wang, Xiaofei Xu, Tommy W. S. Chow, Q. M. Jonathan Wu:
Tree2Vector: Learning a Vectorial Representation for Tree-Structured Data. IEEE Trans. Neural Networks Learn. Syst. 29(11): 5304-5318 (2018) - [j141]Yimin Yang, Q. M. Jonathan Wu, Yaonan Wang:
Autoencoder With Invertible Functions for Dimension Reduction and Image Reconstruction. IEEE Trans. Syst. Man Cybern. Syst. 48(7): 1065-1079 (2018) - [c137]Bahar Youssefi, Alexander J. Leigh, Mitra Mirhassani, Q. M. Jonathan Wu:
Hardware Realization of Mixed-Signal Neural Networks with Modular Synapse-Neuron arrays. ISCAS 2018: 1-5 - [c136]Akilan Thangarajah, Q. M. Jonathan Wu:
Double Encoding - Slow Decoding Image to Image CNN for Foreground Identification with Application Towards Intelligent Transportation. iThings/GreenCom/CPSCom/SmartData 2018: 395-403 - [c135]Akilan Thangarajah, Q. M. Jonathan Wu, Wei Jiang, Amin Safaei, Jie Huo:
New Trend in Video Foreground Detection Using Deep Learning. MWSCAS 2018: 889-892 - [i6]Yimin Yang, Q. M. Jonathan Wu, Xiexing Feng, Akilan Thangarajah:
Non-iterative recomputation of dense layers for performance improvement of DCNN. CoRR abs/1809.05606 (2018) - 2017
- [j140]Sima Soltanpour, Qingming Jonathan Wu:
Multimodal 2D-3D face recognition using local descriptors: pyramidal shape map and structural context. IET Biom. 6(1): 27-35 (2017) - [j139]Lingcheng Kong, Hui Zhang, Yuhui Zheng, Yunjie Chen, Jiezhong Zhu, Qingming Jonathan Wu:
Image segmentation using a hierarchical student's-t mixture model. IET Image Process. 11(11): 1094-1102 (2017) - [j138]Zhili Zhou, Q. M. Jonathan Wu, Fang Huang, Xingming Sun:
Fast and accurate near-duplicate image elimination for visual sensor networks. Int. J. Distributed Sens. Networks 13(2) (2017) - [j137]Qingzhong Li, Wandong Zhang, Ming Li, Jiong Niu, Q. M. Jonathan Wu:
Automatic Detection of Ship Targets Based on Wavelet Transform for HF Surface Wavelet Radar. IEEE Geosci. Remote. Sens. Lett. 14(5): 714-718 (2017) - [j136]Sima Soltanpour, Boubakeur Boufama, Q. M. Jonathan Wu:
A survey of local feature methods for 3D face recognition. Pattern Recognit. 72: 391-406 (2017) - [j135]Kang Wang, Zhenxue Chen, Q. M. Jonathan Wu, Chengyun Liu:
Illumination and pose variable face recognition via adaptively weighted ULBP_MHOG and WSRC. Signal Process. Image Commun. 58: 175-186 (2017) - [j134]Zeeshan Khawar Malik, Amir Hussain, Qingming Jonathan Wu:
Multilayered Echo State Machine: A Novel Architecture and Algorithm. IEEE Trans. Cybern. 47(4): 946-959 (2017) - [j133]Zhili Zhou, Yunlong Wang, Q. M. Jonathan Wu, Ching-Nung Yang, Xingming Sun:
Effective and Efficient Global Context Verification for Image Copy Detection. IEEE Trans. Inf. Forensics Secur. 12(1): 48-63 (2017) - [j132]Fuchun Sun, Guang-Bin Huang, Q. M. Jonathan Wu, Shiji Song, Donald C. Wunsch II:
Efficient and Rapid Machine Learning Algorithms for Big Data and Dynamic Varying Systems. IEEE Trans. Syst. Man Cybern. Syst. 47(10): 2625-2626 (2017) - [c134]Akilan Thangarajah, Q. M. Jonathan Wu, Yimin Yang, Amin Safaei:
Fusion of transfer learning features and its application in image classification. CCECE 2017: 1-5 - [c133]Akilan Thangarajah, Q. M. Jonathan Wu, Wei Jiang:
A feature embedding strategy for high-level CNN representations from multiple convnets. GlobalSIP 2017: 1195-1199 - [c132]Amin Safaei, Q. M. Jonathan Wu, Yimin Yang, Akilan Thangarajah:
System-on-a-chip (SoC)-based hardware acceleration for extreme learning machine. ICECS 2017: 470-473 - [c131]Eman Mohammadi, Q. M. Jonathan Wu, Yimin Yang, Mehrdad Saif:
Effect of wavelet and hybrid classification on action recognition. ICIP 2017: 1787-1791 - [c130]Sima Soltanpour, Q. M. Jonathan Wu:
High-order local normal derivative pattern (LNDP) for 3D face recognition. ICIP 2017: 2811-2815 - [c129]Amin Safaei, Q. M. Jonathan Wu:
System-level design for human action recognition in 3D scenes. SMC 2017: 548-553 - [c128]Sima Soltanpour, Q. M. Jonathan Wu:
Multiscale depth local derivative pattern for sparse representation based 3D face recognition. SMC 2017: 560-565 - [c127]Akilan Thangarajah, Q. M. Jonathan Wu, Amin Safaei, Wei Jiang:
A late fusion approach for harnessing multi-cnn model high-level features. SMC 2017: 566-571 - [c126]Amin Safaei, Q. M. Jonathan Wu, Akilan Thangarajah:
System-on-chip-based hardware acceleration for human detection in 2D/3D scenes. SMC 2017: 1041-1045 - [c125]Eman Mohammadi, Q. M. Jonathan Wu, Mehrdad Saif:
Improved rank pooling strategy for complex action recognition. SMC 2017: 1351-1356 - [i5]Akilan Thangarajah, Q. M. Jonathan Wu, Wei Jiang:
A Feature Embedding Strategy for High-level CNN representations from Multiple ConvNets. CoRR abs/1705.04301 (2017) - 2016
- [j131]Zhili Zhou, Ching-Nung Yang, Beijing Chen, Xingming Sun, Qi Liu, Q. M. Jonathan Wu:
Effective and Efficient Image Copy Detection with Resistance to Arbitrary Rotation. IEICE Trans. Inf. Syst. 99-D(6): 1531-1540 (2016) - [j130]Santosh Kumar Vipparthi, Subrahmanyam Murala, Anil Balaji Gonde, Q. M. Jonathan Wu:
Local directional mask maximum edge patterns for image retrieval and face recognition. IET Comput. Vis. 10(3): 182-192 (2016) - [j129]Yunjie Chen, Jian Li, Hui Zhang, Yuhui Zheng, Byeungwoo Jeon, Qingming Jonathan Wu:
Non-local-based spatially constrained hierarchical fuzzy C-means method for brain magnetic resonance imaging segmentation. IET Image Process. 10(11): 865-876 (2016) - [j128]Zeeshan Khawar Malik, Amir Hussain, Q. M. Jonathan Wu:
An online generalized eigenvalue version of Laplacian Eigenmaps for visual big data. Neurocomputing 173: 127-136 (2016) - [j127]Yunjie Chen, Hui Zhang, Yuhui Zheng, Byeungwoo Jeon, Q. M. Jonathan Wu:
An improved anisotropic hierarchical fuzzy c-means method based on multivariate student t-distribution for brain MRI segmentation. Pattern Recognit. 60: 778-792 (2016) - [j126]Ashirbani Saha, Q. M. Jonathan Wu:
Full-reference image quality assessment by combining global and local distortion measures. Signal Process. 128: 186-197 (2016) - [j125]Thanh Minh Nguyen, Qingming Jonathan Wu:
A Consensus Model for Motion Segmentation in Dynamic Scenes. IEEE Trans. Circuits Syst. Video Technol. 26(12): 2240-2249 (2016) - [j124]Yimin Yang, Q. M. Jonathan Wu:
Multilayer Extreme Learning Machine With Subnetwork Nodes for Representation Learning. IEEE Trans. Cybern. 46(11): 2570-2583 (2016) - [j123]Yimin Yang, Q. M. Jonathan Wu:
Extreme Learning Machine With Subnetwork Hidden Nodes for Regression and Classification. IEEE Trans. Cybern. 46(12): 2885-2898 (2016) - [j122]Thanh Minh Nguyen, Q. M. Jonathan Wu:
Online Feature Selection Based on Fuzzy Clustering and Its Applications. IEEE Trans. Fuzzy Syst. 24(6): 1294-1306 (2016) - [j121]Tiejian Chen, Yaonan Wang, Changyan Xiao, Q. M. Jonathan Wu:
A Machine Vision Apparatus and Method for Can-End Inspection. IEEE Trans. Instrum. Meas. 65(9): 2055-2066 (2016) - [j120]Thanh Minh Nguyen, Q. M. Jonathan Wu:
Multiple Kernel Point Set Registration. IEEE Trans. Medical Imaging 35(6): 1381-1394 (2016) - [j119]Haijun Zhang, Tommy W. S. Chow, Q. M. Jonathan Wu:
Organizing Books and Authors by Multilayer SOM. IEEE Trans. Neural Networks Learn. Syst. 27(12): 2537-2550 (2016) - [c124]Mohammad Anvaripour, Sima Soltanpour, Roozbeh Razavi-Far, Mehrdad Saif, Q. M. Jonathan Wu:
A supervised cooperative clustering scheme for diagnosing process faults in an industrial plant. CEC 2016: 160-167 - [c123]Eman Mohammadi, Q. M. Jonathan Wu, Mehrdad Saif:
Human Action Recognition by Fusing the Outputs of Individual Classifiers. CRV 2016: 335-341 - [c122]Zhili Zhou, Yan Mu, Ningsheng Zhao, Q. M. Jonathan Wu, Ching-Nung Yang:
Coverless Information Hiding Method Based on Multi-keywords. ICCCS (1) 2016: 39-47 - [c121]Amin Safaei, Q. M. Jonathan Wu:
FPGA implementation of the histogram of oriented 4D surface for real-time human activity recognition. HPCS 2016: 531-536 - [c120]Eman Mohammadi, Q. M. Jonathan Wu, Mehrdad Saif:
Human activity recognition using an ensemble of support vector machines. HPCS 2016: 549-554 - [c119]Akilan Thangarajah, Q. M. Jonathan Wu, Jie Huo:
A unified threshold updating strategy for multivariate Gaussian mixture based moving object detection. HPCS 2016: 570-574 - [c118]Amin Safaei, Q. M. Jonathan Wu:
A system-level design for foreground and background identification in 3D scenes. ISCAS 2016: 2571-2574 - [c117]Bahar Youssefi, Mitra Mirhassani, Q. M. Jonathan Wu:
Efficient mixed-signal synapse multipliers for multi-layer feed-forward neural networks. MWSCAS 2016: 1-4 - [c116]Thanh Minh Nguyen, Q. M. Jonathan Wu:
Multi-view dynamic texture learning. WACV 2016: 1-9 - [i4]Guanghui Wang, John S. Zelek, Q. M. Jonathan Wu, Ruzena Bajcsy:
Robust Structure from Motion in the Presence of Outliers and Missing Data. CoRR abs/1609.02638 (2016) - 2015
- [j118]Amir Hussain, Dacheng Tao, Q. M. Jonathan Wu, Dongbin Zhao:
Computational Intelligence for Changing Environments [Guest Editorial]. IEEE Comput. Intell. Mag. 10(4): 10-11 (2015) - [j117]Gaurav Bhatnagar, Q. M. Jonathan Wu:
A novel chaos-based secure transmission of biometric data. Neurocomputing 147: 444-455 (2015) - [j116]