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Huabing Zhou

Showing results (1-10 of 13) with videos related to

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Entropy (Basel, Switzerland)|March 25, 2022
A Spatio-Temporal Motion Network for Action Recognition Based on Spatial AttentionQi Yang, Tongwei Lu, Huabing Zhou
Entropy (Basel, Switzerland)|April 3, 2021
A Generative Adversarial Network for Infrared and Visible Image Fusion Based on Semantic SegmentationJilei Hou, Dazhi Zhang, Wei Wu, et al.
Frontiers in Plant Science|September 5, 2022
Cotton boll localization method based on point annotation and multi-scale fusionMing Sun, Yanan Li, Yang Qi, et al.
Neural Networks : the Official Journal of the International Neural Network Society|January 11, 2026
A DINO-based progressive semantic enhanced infrared and visible image fusion networkShihan Yao, Zhonghui Pei, Huiqin Zhang, et al.
Entropy (Basel, Switzerland)|August 26, 2023
An Interpretable Time Series Data Prediction Framework for Severe Accidents in Nuclear Power PlantsYongjie Fu, Dazhi Zhang, Yunlong Xiao, et al.
Plant Methods|October 4, 2023
WheatLFANet: in-field detection and counting of wheat heads with high-real-time global regression networkJianxiong Ye, Zhenghong Yu, Yangxu Wang, et al.
Frontiers in Plant Science|June 16, 2023
Corrigendum: Cotton boll localization method based on point annotation and multi-scale fusionMing Sun, Yanan Li, Yang Qi, et al.
Frontiers in Plant Science|May 1, 2023
TasselLFANet: a novel lightweight multi-branch feature aggregation neural network for high-throughput image-based maize tassels detection and countingZhenghong Yu, Jianxiong Ye, Cuina Li, et al.
IEEE Transactions on Image Processing : a Publication of the IEEE Signal Processing Society|March 29, 2020
Cross-Weather Image Alignment via Latent Generative Model with Intensity ConsistencyHuabing Zhou, Jiayi Ma, Chiu C Tan, et al.
IEEE Transactions on Image Processing : a Publication of the IEEE Signal Processing Society|January 16, 2026
Selecting and Pruning: A Differentiable Causal Sequentialized State-Space Model for Two-View Correspondence LearningXiang Fang, Shihua Zhang, Hao Zhang, et al.
Pageof 2

Showing results (1-10 of 13) with videos related to

Sort By:
Pageof 2
Entropy (Basel, Switzerland)|March 25, 2022
A Spatio-Temporal Motion Network for Action Recognition Based on Spatial AttentionQi Yang, Tongwei Lu, Huabing Zhou
Entropy (Basel, Switzerland)|April 3, 2021
A Generative Adversarial Network for Infrared and Visible Image Fusion Based on Semantic SegmentationJilei Hou, Dazhi Zhang, Wei Wu, et al.
Frontiers in Plant Science|September 5, 2022
Cotton boll localization method based on point annotation and multi-scale fusionMing Sun, Yanan Li, Yang Qi, et al.
Neural Networks : the Official Journal of the International Neural Network Society|January 11, 2026
A DINO-based progressive semantic enhanced infrared and visible image fusion networkShihan Yao, Zhonghui Pei, Huiqin Zhang, et al.
Entropy (Basel, Switzerland)|August 26, 2023
An Interpretable Time Series Data Prediction Framework for Severe Accidents in Nuclear Power PlantsYongjie Fu, Dazhi Zhang, Yunlong Xiao, et al.
Plant Methods|October 4, 2023
WheatLFANet: in-field detection and counting of wheat heads with high-real-time global regression networkJianxiong Ye, Zhenghong Yu, Yangxu Wang, et al.
Frontiers in Plant Science|June 16, 2023
Corrigendum: Cotton boll localization method based on point annotation and multi-scale fusionMing Sun, Yanan Li, Yang Qi, et al.
Frontiers in Plant Science|May 1, 2023
TasselLFANet: a novel lightweight multi-branch feature aggregation neural network for high-throughput image-based maize tassels detection and countingZhenghong Yu, Jianxiong Ye, Cuina Li, et al.
IEEE Transactions on Image Processing : a Publication of the IEEE Signal Processing Society|March 29, 2020
Cross-Weather Image Alignment via Latent Generative Model with Intensity ConsistencyHuabing Zhou, Jiayi Ma, Chiu C Tan, et al.
IEEE Transactions on Image Processing : a Publication of the IEEE Signal Processing Society|January 16, 2026
Selecting and Pruning: A Differentiable Causal Sequentialized State-Space Model for Two-View Correspondence LearningXiang Fang, Shihua Zhang, Hao Zhang, et al.
Pageof 2