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A Multifunctional Tactile Sensory System for Robotic Intelligent Identification and Manipulation Perception Journal article
Jiang, Yue, Fan, Lin, Sun, Xilong, Luo, Zehe, Wang, Herong, Lai, Rucong, Wang, Jie, Gan, Qiyang, Li, Ning, Tian, Jindong. A Multifunctional Tactile Sensory System for Robotic Intelligent Identification and Manipulation Perception[J]. Advanced Science, 2024, 11(38), 2402705.
Authors:  Jiang, Yue;  Fan, Lin;  Sun, Xilong;  Luo, Zehe;  Wang, Herong; et al.
Favorite | TC[WOS]:0 TC[Scopus]:0  IF:14.3/16.3 | Submit date：2024/10/10
Interaction State Perception  Lotus Nanofiber  Multi-feature Recognition  Multimodal Tactile  Mxene  
Group Multi-View Transformer for 3D Shape Analysis with Spatial Encoding Journal article
Xu, Lixiang, Cui, Qingzhe, Hong, Richang, Xu, Wei, Chen, Enhong, Yuan, Xin, Li, Chenglong, Tang, Yuanyan. Group Multi-View Transformer for 3D Shape Analysis with Spatial Encoding[J]. IEEE Transactions on Multimedia, 2024, 1-14.
Authors:  Xu, Lixiang;  Cui, Qingzhe;  Hong, Richang;  Xu, Wei;  Chen, Enhong; et al.
Favorite | TC[WOS]:1 TC[Scopus]:1  IF:8.4/8.0 | Submit date：2024/05/16
3d Object Recognition  3d Position Embedding  Aggregates  Computational Modeling  Feature Extraction  Knowledge Distillation  Long Short Term Memory  Multi-view Vit  Shape  Solid Modeling  Three-dimensional Displays  View Grouping  
TriView-ParNet: parallel network for hybrid recognition of touching printed and handwritten strings based on feature fusion and three-view co-training Journal article
Qiu, Junhao, Lai, Shangyu, Huang, Guoheng, Zhang, Weiwen, Mai, Junhui, Pun, Chi Man, Ling, Wing Kuen. TriView-ParNet: parallel network for hybrid recognition of touching printed and handwritten strings based on feature fusion and three-view co-training[J]. APPLIED INTELLIGENCE, 2022, 53(13), 17015–17034.
Authors:  Qiu, Junhao;  Lai, Shangyu;  Huang, Guoheng;  Zhang, Weiwen;  Mai, Junhui; et al.
Favorite | TC[WOS]:1 TC[Scopus]:1  IF:3.4/3.9 | Submit date：2023/01/30
Strings Recognition  Mdsr Recognition  Feature Fusion  Multi-view Training  Semi-supervised Learning  
Traffic Sign Detection and Recognition in Multiimages Using a Fusion Model With YOLO and VGG Network Journal article
Yu, Jing, Ye, Xiaojun, Tu, Qiang. Traffic Sign Detection and Recognition in Multiimages Using a Fusion Model With YOLO and VGG Network[J]. IEEE TRANSACTIONS ON INTELLIGENT TRANSPORTATION SYSTEMS, 2022, 23(9), 16632 - 16642.
Authors:  Yu, Jing;  Ye, Xiaojun;  Tu, Qiang
Favorite | TC[WOS]:23 TC[Scopus]:36  IF:7.9/8.3 | Submit date：2022/05/17
Deep Learning  Feature Extraction  Fusion Model  Image Color Analysis  Image Recognition  Multi-images  Roads  Shape  Support Vector Machines  Traffic Sign Detection And Recognition  Vgg19  Yolo-v3  
Learning Compact Multirepresentation Feature Descriptor for Finger-Vein Recognition Journal article
Li, Shuyi, Ma, Ruijun, Fei, Lunke, Zhang, Bob. Learning Compact Multirepresentation Feature Descriptor for Finger-Vein Recognition[J]. IEEE Transactions on Information Forensics and Security, 2022, 17, 1946-1958.
Authors:  Li, Shuyi;  Ma, Ruijun;  Fei, Lunke;  Zhang, Bob
Favorite | TC[WOS]:20 TC[Scopus]:24  IF:6.3/7.3 | Submit date：2022/08/05
Binary Codes  Feature Transformation  Finger-vein Recognition  Multi-representation  Visual And Semantic Consistency  
Temporal Relation Inference Network for Multi-modal Speech Emotion Recognition Journal article
Dong, Guan Nan, Pun, Chi Man, Zhang, Zheng. Temporal Relation Inference Network for Multi-modal Speech Emotion Recognition[J]. IEEE Transactions on Circuits and Systems for Video Technology, 2022, 32(9), 6472-6485.
Authors:  Dong, Guan Nan;  Pun, Chi Man;  Zhang, Zheng
Favorite | TC[WOS]:12 TC[Scopus]:18  IF:8.3/7.1 | Submit date：2022/05/17
Cognition  Correlation  Emotion Recognition  Feature Extraction  Hidden Markov Models  Multi-modal Learning  Relation Inference Network  Speech Emotion Recognition  Speech Recognition  Task Analysis  Temporal Learning  
Image Recognition based on Multi-scale Feature Fusion Transformer Conference paper
Zhu, Zhefeng, Qi, Ke, Chen, Wenbin, Zhou, Yicong, Li, Peiyue, Liu, Zhenxian. Image Recognition based on Multi-scale Feature Fusion Transformer[C], 2022, 7-13.
Authors:  Zhu, Zhefeng;  Qi, Ke;  Chen, Wenbin;  Zhou, Yicong;  Li, Peiyue; et al.
Favorite | TC[Scopus]:0 | Submit date：2023/03/06
Fft Block  Image Recognition  Multi-scale Feature Fusion  Vision Transformer  
A multi-feature fusion method for image recognition of gastrointestinal metaplasia (GIM) Journal article
Li, Hongyan, Vong, Chi Man, Wong, Pak Kin, Ip, Weng Fai, Yan, Tao, Choi, I. Cheong, Yu, Hon Ho. A multi-feature fusion method for image recognition of gastrointestinal metaplasia (GIM)[J]. Biomedical Signal Processing and Control, 2021, 69.
Authors:  Li, Hongyan;  Vong, Chi Man;  Wong, Pak Kin;  Ip, Weng Fai;  Yan, Tao; et al.
Favorite | TC[WOS]:8 TC[Scopus]:10  IF:4.9/4.9 | Submit date：2021/12/08
Endoscopy  Gastrointestinal Metaplasia (Gim) Diagnosis  Image Recognition  Multi-feature Fusion  Transfer-learning  
A multi-feature fusion method for image recognition of gastrointestinal metaplasia (GIM) Journal article
Li, H.Y., Vong, C. M., Wong, P. K., Ip, W.F., Yan, T., Choi, I.C., Yu, H.H.. A multi-feature fusion method for image recognition of gastrointestinal metaplasia (GIM)[J]. Biomedical Signal Processing and Control (SCI-E) (Available online), 2021, 69.
Authors:  Li, H.Y.;  Vong, C. M.;  Wong, P. K.;  Ip, W.F.;  Yan, T.; et al.
Favorite | TC[WOS]:8 TC[Scopus]:10  IF:4.9/4.9 | Submit date：2022/08/09
Transfer-learning  Multi-feature Fusion  Endoscopy  Gastrointestinal Metaplasia (Gim) Diagnosis  Image Recognition  
Tensor-based Unsupervised Multi-view Feature Selection for Image Recognition Conference paper
Yongshan Zhang, Xinxin Wang, Zhihua Cai, Yicong Zhou, Philip S. Yu. Tensor-based Unsupervised Multi-view Feature Selection for Image Recognition[C]:IEEE, 2021.
Authors:  Yongshan Zhang;  Xinxin Wang;  Zhihua Cai;  Yicong Zhou;  Philip S. Yu
Favorite | TC[Scopus]:5 | Submit date：2022/05/13
Image Recognition  Multi-view Learning  Tensor Factorization  Unsupervised Feature Selection