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Multi-threshold deep metric learning for facial expression recognition Journal article
Yang, Wenwu, Yu, Jinyi, Chen, Tuo, Liu, Zhenguang, Wang, Xun, Shen, Jianbing. Multi-threshold deep metric learning for facial expression recognition[J]. Pattern Recognition, 2024, 156, 110711.
Authors:  Yang, Wenwu;  Yu, Jinyi;  Chen, Tuo;  Liu, Zhenguang;  Wang, Xun; et al.
Favorite | TC[Scopus]:0  IF:7.5/7.6 | Submit date：2024/08/05
Facial Expression Recognition  Multiple Thresholds  Triplet Loss Learning  
An integrated model of artificially intelligent (AI) facial recognition technology adoption based on perceived risk theory and extended TPB: a comparative analysis of US and South Korea Journal article
Hwang, J, Kim, J, Joo, K.H, Choe, Ja Young. An integrated model of artificially intelligent (AI) facial recognition technology adoption based on perceived risk theory and extended TPB: a comparative analysis of US and South Korea[J]. Journal of Hospitality Marketing & Management, 2024, 33(8), 1071-1099.
Authors:  Hwang, J;  Kim, J;  Joo, K.H;  Choe, Ja Young
Favorite | TC[WOS]:2 TC[Scopus]:2  IF:11.9/11.3 | Submit date：2024/08/05
Artificial Intelligent-based Facial Recognition Technology  Cultural Differences  Perceived Risk Theory  Restaurant Technology  Theory Of Planned Behavior  
Instance Tracking in 3D Scenes from Egocentric Videos Conference paper
Zhao, Yunhan, Haoyu Ma, Shu Kong, Charless Fowlkes. Instance Tracking in 3D Scenes from Egocentric Videos[C]:IEEE Computer Society, 2024, 21933-21944.
Authors:  Zhao, Yunhan;  Haoyu Ma;  Shu Kong;  Charless Fowlkes
Adobe PDF | Favorite | TC[Scopus]:0 | Submit date：2024/06/20
Three-dimensional Displays  Protocols  Annotations  Benchmark Testing  Cameras  Sensors  Pattern Recognition  Egocentric Videos  Instance TrackIng In 3d  
Bracketing Image Restoration and Enhancement with High-Low Frequency Decomposition Conference paper
Chen, Genggeng, Dai, Kexin, Yang, Kangzhen, Hu, Tao, Chen, Xiangyu, Yang, Yongqing, Dong, Wei, Wu, Peng, Zhang, Yanning, Yan, Qingsen. Bracketing Image Restoration and Enhancement with High-Low Frequency Decomposition[C]:IEEE Computer Society, 2024, 6097-6107.
Authors:  Chen, Genggeng;  Dai, Kexin;  Yang, Kangzhen;  Hu, Tao;  Chen, Xiangyu; et al.
Favorite | TC[Scopus]:1 | Submit date：2024/11/05
Degradation  Computer Vision  Conferences  Feature Extraction  Image Restoration  Pattern Recognition  Image Enhancement  
DeIL: Direct-and-Inverse CLIP for Open-World Few-Shot Learning Conference paper
Shao, Shuai, Bai, Yu, Wang, Yan, Liu, Baodi, Zhou, Yicong. DeIL: Direct-and-Inverse CLIP for Open-World Few-Shot Learning[C]:IEEE Computer Society, 2024, 28505-28514.
Authors:  Shao, Shuai;  Bai, Yu;  Wang, Yan;  Liu, Baodi;  Zhou, Yicong
Favorite | TC[Scopus]:1 | Submit date：2024/11/05
Computer Vision  Filtering  Noise Reduction  Transforms  Pattern Recognition  Few Shot Learning  Clip  Open-world Few-shot Learning  
ParameterNet: Parameters are All You Need for Large-Scale Visual Pretraining of Mobile Networks Conference paper
Han, Kai, Wang, Yunhe, Guo, Jianyuan, Wu, Enhua. ParameterNet: Parameters are All You Need for Large-Scale Visual Pretraining of Mobile Networks[C]:IEEE Computer Society, 2024, 15751-15761.
Authors:  Han, Kai;  Wang, Yunhe;  Guo, Jianyuan;  Wu, Enhua
Favorite | TC[Scopus]:6 | Submit date：2024/11/05
Convolutional Codes  Visualization  Computer Vision  Accuracy  Transformers  Pattern Recognition  
SmartEdit: Exploring Complex Instruction-Based Image Editing with Multimodal Large Language Models Conference paper
Huang, Yuzhou, Xie, Liangbin, Wang, Xintao, Yuan, Ziyang, Cun, Xiaodong, Ge, Yixiao, Zhou, Jiantao, Dong, Chao, Huang, Rui, Zhang, Ruimao, Shan, Ying. SmartEdit: Exploring Complex Instruction-Based Image Editing with Multimodal Large Language Models[C]:IEEE Computer Society, 2024, 8362-8371.
Authors:  Huang, Yuzhou;  Xie, Liangbin;  Wang, Xintao;  Yuan, Ziyang;  Cun, Xiaodong; et al.
Favorite | TC[Scopus]:0 | Submit date：2024/11/05
Training  Visualization  Computer Vision  Large Language Models  Diffusion Models  Cognition  Pattern Recognition  Instruction-based Image Editing  Multimodal Large Language Models  
Residual-based Language Models are Free Boosters for Biomedical Imaging Tasks Conference paper
Lai, Zhixin, Wu, Jing, Chen, Suiyao, Zhou, Yucheng, Hovakimyan, Naira. Residual-based Language Models are Free Boosters for Biomedical Imaging Tasks[C]:IEEE Computer Society, 2024, 5086-5096.
Authors:  Lai, Zhixin;  Wu, Jing;  Chen, Suiyao;  Zhou, Yucheng;  Hovakimyan, Naira
Favorite | TC[Scopus]:3 | Submit date：2024/11/05
Visualization  Three-dimensional Displays  Large Language Models  Conferences  Fasteners  Transformers  Pattern Recognition  Llm  Biomedical Imaging  
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  
Brain Network Manifold Learned by Cognition-Inspired Graph Embedding Model for Emotion Recognition Journal article
Li, Cunbo, Li, Peiyang, Chen, Zhaojin, Yang, Lei, Li, Fali, Wan, Feng, Cao, Zehong, Yao, Dezhong, Lu, Bao Liang, Xu, Peng. Brain Network Manifold Learned by Cognition-Inspired Graph Embedding Model for Emotion Recognition[J]. IEEE TRANSACTIONS ON SYSTEMS MAN CYBERNETICS-SYSTEMS, 2024.
Authors:  Li, Cunbo;  Li, Peiyang;  Chen, Zhaojin;  Yang, Lei;  Li, Fali; et al.
Favorite | TC[WOS]:0 TC[Scopus]:0  IF:8.6/8.7 | Submit date：2024/10/10
Affective Brain-computer Interface (Abci) System  Cognition-inspired Learning  Electroencephalogram (Eeg) Brain Networks  Emotion Recognition  Geometry Manifold  Graph Embedding  L1-norm Space