UM

Browse/Search Results:  1-3 of 3 Help

Selected(0)Clear Items/Page:    Sort:
COMMA: Co-articulated Multi-Modal Learning Conference paper
Hu, Lianyu, Gao, Liqing, Liu, Zekang, Pun, Chi Man, Feng, Wei. COMMA: Co-articulated Multi-Modal Learning[C]:Association for the Advancement of Artificial Intelligence, 2024, 2238-2246.
Authors:  Hu, Lianyu;  Gao, Liqing;  Liu, Zekang;  Pun, Chi Man;  Feng, Wei
Favorite | TC[Scopus]:0 | Submit date:2024/05/16
Cv: Language And Vision  Cv: Large Vision Models  Cv: Multi-modal Vision  Cv: Video Understanding & Activity Analysis  
A Transformer-based Adaptive Prototype Matching Network for Few-Shot Semantic Segmentation Conference paper
Chen, Sihan, Chen, Yadang, Zheng, Yuhui, Yang, Zhi Xin, Wu, Enhua. A Transformer-based Adaptive Prototype Matching Network for Few-Shot Semantic Segmentation[C]:International Joint Conferences on Artificial Intelligence, 2024, 659-667.
Authors:  Chen, Sihan;  Chen, Yadang;  Zheng, Yuhui;  Yang, Zhi Xin;  Wu, Enhua
Favorite | TC[Scopus]:0 | Submit date:2024/10/10
Computer Vision  Segmentation  Representation Learning  Scene Analysis And understAnding  Transfer, Low-shot, Semi- And Un- Supervised Learning  
Unsupervised Lighting Reflectance Estimation for Robot Monitoring Under Poor Illuminance Journal article
Luo, Luqing, Chen, Xinyu, Yang, Jiangang, Liu, Jian, Yang, Zhi Xin. Unsupervised Lighting Reflectance Estimation for Robot Monitoring Under Poor Illuminance[J]. IEEE Sensors Journal, 2023, 23(21), 26235-26244.
Authors:  Luo, Luqing;  Chen, Xinyu;  Yang, Jiangang;  Liu, Jian;  Yang, Zhi Xin
Favorite | TC[WOS]:0 TC[Scopus]:0  IF:4.3/4.2 | Submit date:2023/12/04
Image Enhancement  Poor Illumination Detection  Retinex  Unsupervised Learning  Vision Understanding