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ORCIDQ. M. Jonathan Wu
Jonathan Wu 0001 – Qingming Jonathan Wu
Person information
- affiliation: University of Windsor, Department of Electrical and Computer Engineering, ON, Canada
- affiliation: National Research Council of Canada, Ottawa, ON, Canada
- affiliation (PhD 1990): University of Wales, Swansea, UK
Other persons with the same name
- Jonathan Wu — disambiguation page
- Jon Wu (aka: Jonathan Wu 0002) — Amazon Web Services, Seattle, WA, USA (and 1 more)
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2020 – today
- 2023
[j264]Bin Li, Yibing Li
, Q. M. Jonathan Wu:
A completed parted region local neighborhood energy pattern for texture classification. Digit. Signal Process. 137: 104031 (2023)- [j263]Kunru Zhong, Zhenxue Chen, Chengyun Liu, Q. M. Jonathan Wu, Shuchao Duan:
Unsupervised self-attention lightweight photo-to-sketch synthesis with feature maps. J. Vis. Commun. Image Represent. 90: 103747 (2023) - [j262]Liming Zou, Jiande Sun, Wenbo Wan, Jing Li, Q. M. Jonathan Wu:
A cover selection-based reversible data hiding method by learning cross-modal hashing. Multim. Tools Appl. 82(2): 2983-3005 (2023) - [j261]Farhad Pourpanah, Moloud Abdar, Yuxuan Luo, Xinlei Zhou, Ran Wang, Chee Peng Lim, Xi-Zhao Wang, Q. M. Jonathan Wu:
A Review of Generalized Zero-Shot Learning Methods. IEEE Trans. Pattern Anal. Mach. Intell. 45(4): 4051-4070 (2023) - [j260]Yurong Chen, Hui Zhang, Yaonan Wang, Weixing Peng, Wangdong Zhang, Q. M. Jonathan Wu, Yimin Yang:
D-BIN: A Generalized Disentangling Batch Instance Normalization for Domain Adaptation. IEEE Trans. Cybern. 53(4): 2151-2163 (2023) - [j259]Zhili Zhou, Chun Ding, Jin Li, Eman Mohammadi, Guangcan Liu, Yimin Yang, Q. M. Jonathan Wu:
Sequential Order-Aware Coding-Based Robust Subspace Clustering for Human Action Recognition in Untrimmed Videos. IEEE Trans. Image Process. 32: 13-28 (2023) - 2022
- [j258]Jiaolv Wu, Q. M. Jonathan Wu, Shuyue Chen, Farhad Pourpanah, Detian Huang:
A-TD3: An Adaptive Asynchronous Twin Delayed Deep Deterministic for Continuous Action Spaces. IEEE Access 10: 128077-128089 (2022) - [j257]Bo Xiao, Q. M. Jonathan Wu, Liping Yan:
Multisensor fusion estimation of nonlinear systems with intermittent observations and heavy-tailed noises. Sci. China Inf. Sci. 65(9): 1-18 (2022) - [j256]Hua Yang, Fei Tian, Qi Qi, Q. M. Jonathan Wu, Kunqian Li:
Underwater image enhancement with latent consistency learning-based color transfer. IET Image Process. 16(6): 1594-1612 (2022) - [j255]Md Shakil Ahamed Shohag, Xiuyang Zhao, Q. M. Jonathan Wu, Farhad Pourpanah:
Cross-graph reference structure based pruning and edge context information for graph matching. Inf. Sci. 616: 1-15 (2022) - [j254]Chengsheng Yuan, Peipeng Yu, Zhihua Xia, Xingming Sun, Q. M. Jonathan Wu:
FLD-SRC: Fingerprint Liveness Detection for AFIS Based on Spatial Ridges Continuity. IEEE J. Sel. Top. Signal Process. 16(4): 817-827 (2022) - [j253]Ling Zhang, Chenlu Shi, Jiong Niu, Yonggang Ji, Q. M. Jonathan Wu:
DOA Estimation for HFSWR Target Based on PSO-ELM. IEEE Geosci. Remote. Sens. Lett. 19: 1-5 (2022) - [j252]Wandong Zhang, Q. M. Jonathan Wu, Yimin Yang, Thangarajah Akilan, W. G. Will Zhao, Qingzhong Li, Jiong Niu:
Fast Ship Detection With Spatial-Frequency Analysis and ANOVA-Based Feature Fusion. IEEE Geosci. Remote. Sens. Lett. 19: 1-5 (2022) - [j251]Jie Zhao, Zhenxue Chen, Q. M. Jonathan Wu, Xianming Li, Lei Cai, Kai Zhu:
Improved edge-guided network for single image super-resolution. Multim. Tools Appl. 81(1): 343-365 (2022) - [j250]Maorong Chen, Jiong Niu, Ming Li, Ling Zhang, Yonggang Ji, Wenxiang Wan, Q. M. Jonathan Wu:
A Motion Compensation Method for Shipborne HFSWR by Using Dual Reference RF Signals Generated Onshore. Remote. Sens. 14(5): 1055 (2022) - [j249]Chengsheng Yuan, Shengming Jiao, Xingming Sun, Q. M. Jonathan Wu:
MFFFLD: A Multimodal-Feature-Fusion-Based Fingerprint Liveness Detection. IEEE Trans. Cogn. Dev. Syst. 14(2): 648-661 (2022) - [j248]Qi Qi, Yongchang Zhang, Fei Tian, Q. M. Jonathan Wu, Kunqian Li, Xin Luan, Dalei Song:
Underwater Image Co-Enhancement With Correlation Feature Matching and Joint Learning. IEEE Trans. Circuits Syst. Video Technol. 32(3): 1133-1147 (2022) - [j247]Hao Qin, Zhenxue Chen, Qingqiang Guo, Q. M. Jonathan Wu, Mengxu Lu:
RPNet: Gait Recognition With Relationships Between Each Body-Parts. IEEE Trans. Circuits Syst. Video Technol. 32(5): 2990-3000 (2022) - [j246]Jing Huang, Zhenxue Chen, Q. M. Jonathan Wu, Chengyun Liu, Hui Yuan, Weikai He:
CATFPN: Adaptive Feature Pyramid With Scale-Wise Concatenation and Self-Attention. IEEE Trans. Circuits Syst. Video Technol. 32(12): 8142-8152 (2022) - [j245]Wei Wu, Wei Sun, Q. M. Jonathan Wu, Yimin Yang, Hui Zhang, Wei-Long Zheng, Bao-Liang Lu:
Multimodal Vigilance Estimation Using Deep Learning. IEEE Trans. Cybern. 52(5): 3097-3110 (2022) - [j244]Wandong Zhang, Q. M. Jonathan Wu, Yimin Yang, Thangarajah Akilan, Ming Li:
HKPM: A Hierarchical Key-Area Perception Model for HFSWR Maritime Surveillance. IEEE Trans. Geosci. Remote. Sens. 60: 1-13 (2022) - [j243]Hui Zhang, Zhicong Liang, Chen Li, Hang Zhong, Li Liu, Chenyang Zhao, Yaonan Wang, Q. M. Jonathan Wu:
A Practical Robotic Grasping Method by Using 6-D Pose Estimation With Protective Correction. IEEE Trans. Ind. Electron. 69(4): 3876-3886 (2022) - [j242]Hui Zhang, Ruibo Chen, Chen Li, Yurong Chen, Yaonan Wang, Q. M. Jonathan Wu:
Selective Multibranch Attention Network With Material Constraint for Baggage Reidentification. IEEE Trans. Instrum. Meas. 71: 1-11 (2022) - [j241]Yurong Chen, Hui Zhang, Yaonan Wang, Lizhu Liu, Q. M. Jonathan Wu, Yimin Yang:
TAE-Seg: Generalized Lung Segmentation via Tilewise AutoEncoder Enhanced Network. IEEE Trans. Instrum. Meas. 71: 1-13 (2022) - [j240]Hui Zhang, Liuchen Wu, Yurong Chen, Ruibo Chen, Senlin Kong, Yaonan Wang, Jianwen Hu, Jonathan Wu:
Attention-Guided Multitask Convolutional Neural Network for Power Line Parts Detection. IEEE Trans. Instrum. Meas. 71: 1-13 (2022) - [j239]Mengxu Lu, Zhenxue Chen, Q. M. Jonathan Wu, Nannan Wang, Xuewen Rong, Xinghe Yan:
FRNet: Factorized and Regular Blocks Network for Semantic Segmentation in Road Scene. IEEE Trans. Intell. Transp. Syst. 23(4): 3522-3530 (2022) - [j238]Hui Zhang, Yanan Song, Yurong Chen, Hang Zhong, Li Liu, Yaonan Wang, Thangarajah Akilan, Q. M. Jonathan Wu:
MRSDI-CNN: Multi-Model Rail Surface Defect Inspection System Based on Convolutional Neural Networks. IEEE Trans. Intell. Transp. Syst. 23(8): 11162-11177 (2022) - [j237]Ruohan Meng, Qi Cui, Zhili Zhou, Zhetao Li, Q. M. Jonathan Wu, Xingming Sun:
High-Capacity Steganography Using Object Addition-Based Cover Enhancement for Secure Communication in Networks. IEEE Trans. Netw. Sci. Eng. 9(2): 848-862 (2022) - [j236]Liping Yan, Chenying Di, Q. M. Jonathan Wu, Yuanqing Xia:
Sequential Fusion for Multirate Multisensor Systems With Heavy-Tailed Noises and Unreliable Measurements. IEEE Trans. Syst. Man Cybern. Syst. 52(1): 523-532 (2022) - [c144]Wandong Zhang, Q. M. Jonathan Wu, Jiayuan Wang, Zeng Li:
A Novel Method Based on Spatio-Frequency Analysis for HFSWR Ship Detection. ICSM 2022: 453-461 - [i15]Wenyan Pan, Zhili Zhou, Miaogen Ling, Xin Geng, Q. M. Jonathan Wu:
Learning Hierarchical Graph Representation for Image Manipulation Detection. CoRR abs/2201.05730 (2022) - [i14]Zhili Zhou, Yuecheng Su, Q. M. Jonathan Wu, Zhangjie Fu, Yunqing Shi:
Secret-to-Image Reversible Transformation for Generative Steganography. CoRR abs/2203.06598 (2022) - [i13]Jiayuan Wang, Q. M. Jonathan Wu, Farhad Pourpanah:
DC-cycleGAN: Bidirectional CT-to-MR Synthesis from Unpaired Data. CoRR abs/2211.01293 (2022) - [i12]Wenyan Pan, Zhili Zhou, Guangcan Liu, Teng Huang, Hongyang Yan, Q. M. Jonathan Wu:
Auto-Focus Contrastive Learning for Image Manipulation Detection. CoRR abs/2211.10922 (2022) - 2021
- [j235]Chengsheng Yuan, Qi Cui, Xingming Sun, Q. M. Jonathan Wu, Sheng Wu:
Chapter Five - Fingerprint liveness detection using an improved CNN with the spatial pyramid pooling structure. Adv. Comput. 120: 157-193 (2021) - [j234]Xiaochun Xu, Yibing Li, Q. M. Jonathan Wu:
A compact multi-pattern encoding descriptor for texture classification. Digit. Signal Process. 114: 103081 (2021) - [j233]Zhili Zhou, Meimin Wang, Ching-Nung Yang, Zhangjie Fu, Xingming Sun, Q. M. Jonathan Wu:
Blockchain-based decentralized reputation system in E-commerce environment. Future Gener. Comput. Syst. 124: 155-167 (2021) - [j232]Zhili Zhou, Wenyan Pan, Q. M. Jonathan Wu, Ching-Nung Yang, Zhihan Lv:
Geometric rectification-based neural network architecture for image manipulation detection. Int. J. Intell. Syst. 36(12): 6993-7016 (2021) - [j231]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) - [j230]Kunqian Li, Duo Shi, Yongchang Zhang, Q. M. Jonathan Wu, Xin Luan, Dalei Song:
CascNet: No-reference saliency quality assessment with cascaded applicability sorting and comparing network. Neurocomputing 425: 231-242 (2021) - [j229]Xiexing Feng, Q. M. Jonathan Wu, Yimin Yang, Libo Cao:
A compensation-based optimization strategy for top dense layer training. Neurocomputing 453: 563-578 (2021) - [j228]Heshan Wang, Q. M. Jonathan Wu, Dongshu Wang, Jianbin Xin, Yimin Yang, Kunjie Yu:
Echo state network with a global reversible autoencoder for time series classification. Inf. Sci. 570: 744-768 (2021) - [j227]Kai Zhu, Zhenxue Chen, Q. M. Jonathan Wu, Nannan Wang, Jie Zhao, Gan Zhang:
FSFN: feature separation and fusion network for single image super-resolution. Multim. Tools Appl. 80(21): 31599-31618 (2021) - [j226]Xinghe Yan, Zhenxue Chen, Q. M. Jonathan Wu, Mengxu Lu, Luna Sun:
3MNet: Multi-task, multi-level and multi-channel feature aggregation network for salient object detection. Mach. Vis. Appl. 32(2): 45 (2021) - [j225]Abdul Muntakim Rafi, Thamidul Islam Tonmoy, Uday Kamal, Q. M. Jonathan Wu, Md. Kamrul Hasan:
RemNet: remnant convolutional neural network for camera model identification. Neural Comput. Appl. 33(8): 3655-3670 (2021) - [j224]Adhri Nandini Paul, Peizhi Yan, Yimin Yang, Hui Zhang, Shan Du, Q. M. Jonathan Wu:
Non-iterative online sequential learning strategy for autoencoder and classifier. Neural Comput. Appl. 33(23): 16345-16361 (2021) - [j223]Ling Zhang, Jingzhi Zhang, Jiong Niu, Q. M. Jonathan Wu, Gangsheng Li:
Track Prediction for HF Radar Vessels Submerged in Strong Clutter Based on MSCNN Fusion with GRU-AM and AR Model. Remote. Sens. 13(11): 2164 (2021) - [j222]Maokai Wu, Ling Zhang, Jiong Niu, Q. M. Jonathan Wu:
Target Detection in Clutter/Interference Regions Based on Deep Feature Fusion for HFSWR. IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens. 14: 5581-5595 (2021) - [j221]Wei Wu, Q. M. Jonathan Wu, Wei Sun, Yimin Yang, Xiaofang Yuan, Wei-Long Zheng, Bao-Liang Lu:
A Regression Method With Subnetwork Neurons for Vigilance Estimation Using EOG and EEG. IEEE Trans. Cogn. Dev. Syst. 13(1): 209-222 (2021) - [j220]Wei Wu, Wei Sun, Q. M. Jonathan Wu, Cheng Zhang, Yimin Yang, Hongshan Yu, Bao-Liang Lu:
Faster Single Model Vigilance Detection Based on Deep Learning. IEEE Trans. Cogn. Dev. Syst. 13(3): 621-630 (2021) - [j219]Zhili Zhou, Q. M. Jonathan Wu, Xingming Sun:
Multiple Distance-Based Coding: Toward Scalable Feature Matching for Large-Scale Web Image Search. IEEE Trans. Big Data 7(3): 559-573 (2021) - [j218]Luna Sun, Zhenxue Chen, Q. M. Jonathan Wu, Hongjian Zhao, Weikai He, Xinghe Yan:
AMPNet: Average- and Max-Pool Networks for Salient Object Detection. IEEE Trans. Circuits Syst. Video Technol. 31(11): 4321-4333 (2021) - [j217]Tayssir Bouraffa, Liping Yan, Zihang Feng, Bo Xiao, Q. M. Jonathan Wu, Yuanqing Xia:
Context-Aware Correlation Filter Learning Toward Peak Strength for Visual Tracking. IEEE Trans. Cybern. 51(10): 5105-5115 (2021) - [j216]Kaixian Yang, Ling Zhang, Jiong Niu, Yonggang Ji, Q. M. Jonathan Wu:
Analysis and Estimation of Shipborne HFSWR Target Parameters Under the Influence of Platform Motion. IEEE Trans. Geosci. Remote. Sens. 59(6): 4703-4716 (2021) - [j215]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) - [j214]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) - [j213]Yurong Chen, Hui Zhang, Yaonan Wang, Yimin Yang, Xianen Zhou, Q. M. Jonathan Wu:
MAMA Net: Multi-Scale Attention Memory Autoencoder Network for Anomaly Detection. IEEE Trans. Medical Imaging 40(3): 1032-1041 (2021) - [j212]Yuzhu Ji, Haijun Zhang, Zequn Jie, Lin Ma, Q. M. Jonathan Wu:
CASNet: A Cross-Attention Siamese Network for Video Salient Object Detection. IEEE Trans. Neural Networks Learn. Syst. 32(6): 2676-2690 (2021) - [j211]Tianlei Wang, Jiuwen Cao, Xiaoping Lai, Q. M. Jonathan Wu:
Hierarchical One-Class Classifier With Within-Class Scatter-Based Autoencoders. IEEE Trans. Neural Networks Learn. Syst. 32(8): 3770-3776 (2021) - [j210]Wandong Zhang, Q. M. Jonathan Wu, Yimin Yang, Thangarajah Akilan:
Multimodel Feature Reinforcement Framework Using Moore-Penrose Inverse for Big Data Analysis. IEEE Trans. Neural Networks Learn. Syst. 32(11): 5008-5021 (2021) - [j209]Amit Kumar Singh, Q. M. Jonathan Wu, Ali Al-Haj, Calton Pu:
Introduction to the Special Section on Security and Privacy of Medical Data for Smart Healthcare. ACM Trans. Internet Techn. 21(3): 53:1-53:4 (2021) - [i11]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) - [i10]Yimin Yang, Wandong Zhang, Q. M. Jonathan Wu, W. G. Will Zhao, Ao Chen:
Deconvolution-and-convolution Networks. CoRR abs/2103.11887 (2021) - [i9]Yurong Chen, Hui Zhang, Yaonan Wang, Q. M. Jonathan Wu, Yimin Yang:
Projected Sliced Wasserstein Autoencoder-based Hyperspectral Images Anomaly Detection. CoRR abs/2112.11243 (2021) - 2020
- [j208]Ling Zhang, Qingfeng Li, Q. M. Jonathan Wu:
Target Detection for HFSWR Based on an S3D Algorithm. IEEE Access 8: 224825-224836 (2020) - [j207]Xiaochun Xu, Yibing Li, Q. M. Jonathan Wu:
A completed local shrinkage pattern for texture classification. Appl. Soft Comput. 97(Part B): 106830 (2020) - [j206]Liping Yan, Chenying Di, Q. M. Jonathan Wu, Yuanqing Xia:
Sequential fusion estimation for multisensor systems with non-Gaussian noises. Sci. China Inf. Sci. 63(12) (2020) - [j205]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) - [j204]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) - [j203]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) - [j202]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) - [j201]Wandong Zhang, Q. M. Jonathan Wu, Yimin Yang:
Wi-HSNN: A subnetwork-based encoding structure for dimension reduction and food classification via harnessing multi-CNN model high-level features. Neurocomputing 414: 57-66 (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) - [c143]Abdul Muntakim Rafi, Jonathan Wu, Md. Kamrul Hasan:
L2-Constrained RemNet for Camera Model Identification and Image Manipulation Detection. ECCV Workshops (4) 2020: 267-282 - [c142]Uday Kamal, Abdul Muntakim Rafi, Rakibul Hoque, Jonathan Wu, Md. Kamrul Hasan:
Lung Cancer Tumor Region Segmentation Using Recurrent 3D-DenseUNet. TIA@MICCAI 2020: 36-47 - [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]