English | 繁體

Search in the results

UM

Browse/Search Results:  1-10 of 13 Help

Selected(0)Clear Items/Page:    Sort:
GPT-4 enhanced multimodal grounding for autonomous driving: Leveraging cross-modal attention with large language models Journal article
Liao, Haicheng, Shen, Huanming, Li, Zhenning, Wang, Chengyue, Li, Guofa, Bie, Yiming, Xu, Chengzhong. GPT-4 enhanced multimodal grounding for autonomous driving: Leveraging cross-modal attention with large language models[J]. Communications in Transportation Research, 2024, 4, 100116.
Authors:  Liao, Haicheng;  Shen, Huanming;  Li, Zhenning;  Wang, Chengyue;  Li, Guofa; et al.
Favorite | TC[WOS]:8 TC[Scopus]:12  IF:12.5/12.5 | Submit date：2024/03/05
Autonomous Driving  Cross-modal Attention  Human-machine Interaction  Large Language Models  Visual Grounding  
Compact Artificial Neural Network Based on Task Attention for Individual SSVEP Recognition with Less Calibration Journal article
Wang,Ze, Wong,Chi Man, Wang,Boyu, Feng,Zhao, Cong,Fengyu, Wan,Feng. Compact Artificial Neural Network Based on Task Attention for Individual SSVEP Recognition with Less Calibration[J]. IEEE Transactions on Neural Systems and Rehabilitation Engineering, 2023.
Authors:  Wang,Ze;  Wong,Chi Man;  Wang,Boyu;  Feng,Zhao;  Cong,Fengyu; et al.
Favorite | TC[WOS]:4 TC[Scopus]:4  IF:4.8/5.4 | Submit date：2023/08/03
Artificial Neural Network  Attention Layer  Brain Modeling  Brain-computer Interface  Calibration  Correlation  Electroencephalography  Steady-state Visual Evoked Potential  Target Recognition  Task Analysis  Visualization  
Weakly Supervised Visual Saliency Prediction Journal article
Qiuxia La, Zhou, Tianfei, Khan, Salman, Sun, Hanqiu, Shen, Jianbing, Shao, Ling. Weakly Supervised Visual Saliency Prediction[J]. IEEE Transactions on Image Processing, 2022, 31, 3111-3124.
Authors:  Qiuxia La;  Zhou, Tianfei;  Khan, Salman;  Sun, Hanqiu;  Shen, Jianbing; et al.
Favorite | TC[WOS]:12 TC[Scopus]:14  IF:10.8/12.1 | Submit date：2022/05/17
Deep Learning  Saliency Prediction  Visual Attention Prediction  Weakly Supervised Learning  
Fine-grained visual classification with multi-scale features based on self-supervised attention filtering mechanism Journal article
Chen, Haiyuan, Cheng, Lianglun, Huang, Guoheng, Zhang, Ganghan, Lan, Jiaying, Yu, Zhiwen, Pun, Chi Man, Ling, Wing Kuen. Fine-grained visual classification with multi-scale features based on self-supervised attention filtering mechanism[J]. Applied Intelligence, 2022, 52(13), 15673-15689.
Authors:  Chen, Haiyuan;  Cheng, Lianglun;  Huang, Guoheng;  Zhang, Ganghan;  Lan, Jiaying; et al.
Favorite | TC[WOS]:3 TC[Scopus]:3  IF:3.4/3.9 | Submit date：2022/05/17
Attention Mechanism  Feature Filtering  Fine-grained Visual Classification  Self-supervised Learning  
Bilateral Cross-Modality Graph Matching Attention for Feature Fusion in Visual Question Answering Journal article
Cao, Jianjian, Qin, Xiameng, Zhao, Sanyuan, Shen, Jianbing. Bilateral Cross-Modality Graph Matching Attention for Feature Fusion in Visual Question Answering[J]. IEEE Transactions on Neural Networks and Learning Systems, 2022.
Authors:  Cao, Jianjian;  Qin, Xiameng;  Zhao, Sanyuan;  Shen, Jianbing
Favorite | TC[WOS]:13 TC[Scopus]:19  IF:10.2/10.4 | Submit date：2022/05/17
Graph Matching Attention (Gma)  Relational Reasoning  Visual Question Answering (Vqa).  
Are self-caused distractors easier to ignore? Experiments with the flanker task Journal article
Gao, Ci Jun, Gozli, Davood G.. Are self-caused distractors easier to ignore? Experiments with the flanker task[J]. Attention, Perception, and Psychophysics, 2021, 83(2), 853-865.
Authors:  Gao, Ci Jun;  Gozli, Davood G.
Favorite | TC[WOS]:0 TC[Scopus]:0  IF:1.7/2.0 | Submit date：2021/12/07
Associative Learning  Ideomotor Theory  Forward Model  Sensory Preactivation  Sensory Attenuation  Flanker Task  Visual Attention  
A Multimodal Saliency Model for Videos with High Audio-Visual Correspondence Journal article
Xiongkuo Min, Guangtao Zhai, Jiantao Zhou, Xiao-Ping Zhang, Xiaokang Yang, Xinping Guan. A Multimodal Saliency Model for Videos with High Audio-Visual Correspondence[J]. IEEE TRANSACTIONS ON IMAGE PROCESSING, 2020, 29, 3805-3819.
Authors:  Xiongkuo Min;  Guangtao Zhai;  Jiantao Zhou;  Xiao-Ping Zhang;  Xiaokang Yang; et al.
Adobe PDF | Favorite | TC[WOS]:144 TC[Scopus]:163  IF:10.8/12.1 | Submit date：2021/03/11
Attention Fusion  Audio-visual Attention  Multimodal  Saliency  Visual Attention  
The cost and benefit of implicit spatial cues for visual attention Journal article
Gozli,Davood G., Chasteen,Alison L., Pratt,Jay. The cost and benefit of implicit spatial cues for visual attention[J]. Journal of Experimental Psychology: General, 2017, 142(4), 1028-1046.
Authors:  Gozli,Davood G.;  Chasteen,Alison L.;  Pratt,Jay
Favorite | TC[WOS]:45 TC[Scopus]:45 | Submit date：2019/06/25
Conceptual Metaphor  Embodied Semantics  Theory Of Event Coding  Visual Attention  
A Hybrid of Local and Global Saliencies for Detecting Image Salient Region and Appearance Journal article
Peng, Qinmu, Cheung, Yiu-ming, You, Xinge, Tang, Yuan Yan. A Hybrid of Local and Global Saliencies for Detecting Image Salient Region and Appearance[J]. IEEE Transactions on Systems, Man, and Cybernetics: Systems, 2017, 47(1), 86-97.
Authors:  Peng, Qinmu;  Cheung, Yiu-ming;  You, Xinge;  Tang, Yuan Yan
Favorite | TC[WOS]:29 TC[Scopus]:34  IF:8.6/8.7 | Submit date：2018/10/30
Gradient Minimization  Multiple Salient Edges  Saliency Detection  Visual Attention  
Visual attention to features by associative learning Journal article
Gozli,Davood G., Moskowitz,Joshua B., Pratt,Jay. Visual attention to features by associative learning[J]. Cognition, 2014, 133(2), 488-501.
Authors:  Gozli,Davood G.;  Moskowitz,Joshua B.;  Pratt,Jay
Favorite | TC[WOS]:15 TC[Scopus]:16 | Submit date：2019/06/25
Associative Learning  Episodic Memory  Feature-based Attention  Visual Attention