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PRIVACY-ENHANCED ZERO-SHOT LEARNING VIA DATA-FREE KNOWLEDGE TRANSFER
Considering the increasing concerns about data copyright and sensitivity issues, we present a novel Privacy-Enhanced Zero-Shot Learning …
Gao Rui, Wan Fan, Organisciak Daniel, Pu Jiyao, Duan Haoran, Zhang Peng, Hou Xingsong, Long Yang
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PRIVACY-ENHANCED ZERO-SHOT LEARNING VIA DATA-FREE KNOWLEDGE TRANSFER
DS-Depth: Dynamic and Static Depth Estimation via a Fusion Cost Volume
Self-supervised monocular depth estimation methods typically rely on the reprojection error to capture geometric relationships between …
Xingyu Miao, Yang Bai, Haoran Duan, Yawen Huang, Fan Wan, Xinxing Xu, Yang Long, Yefeng Zheng
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DS-Depth: Dynamic and Static Depth Estimation via a Fusion Cost Volume
Community-Aware Federated Video Summarization
Video summarization aims to extract representative frames to retain high-level information. Increasing concerns about privacy issues …
Wan Fan, Wang Junyan, Duan Haoran, Song Yang, Pagnucco Maurice, Long Yang
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Community-Aware Federated Video Summarization
When Multi-Focus Image Fusion Networks Meet Traditional Edge-Preservation Technology
Generating the decision map with accurate boundaries is the key to fusing multi-focus images. In this paper, we introduce …
Wang Zeyu, Li Xiongfei, Zhao Libo, Duan Haoran, Wang Shidong, Liu Hao, Zhang Xiaoli
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When Multi-Focus Image Fusion Networks Meet Traditional Edge-Preservation Technology
VSP-Fuse: Multifocus Image Fusion Model Using the Knowledge Transferred From Visual Salience Priors
Multifocus image fusion (MFIF), as an efficient way to improve the visual effect of images with partial focus defects, is of great …
Zeyu Wang, Xiongfei Li, Shuang Yu, Haoran Duan, Xiaoli Zhang, Jizheng Zhang, Shiping Chen
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VSP-Fuse: Multifocus Image Fusion Model Using the Knowledge Transferred From Visual Salience Priors
Knowing the Past to Predict the Future: Reinforcement Virtual Learning
Reinforcement Learning (RL)-based control system has received considerable attention in recent decades. However, in many real-world …
Peng Zhang, Yawen Huang, Bingzhang Hu, Shizheng Wang, Haoran Duan, Noura Al Moubayed, Yefeng Zheng, Yang Long
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Knowing the Past to Predict the Future: Reinforcement Virtual Learning
A Self-supervised Residual Feature Learning Model for Multi-focus Image Fusion
self-supervised feature for MFIF
Zeyu Wang, Xiongfei Li, Haoran Duan, Xiaoli Zhang
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A Self-supervised Residual Feature Learning Model for Multi-focus Image Fusion
EfficientTDNN: Efficient Architecture Search for Speaker Recognition
Convolutional neural networks (CNNs), such as the time-delay neural network (TDNN), have shown their remarkable capability in learning …
Zhen Hong Rui Wang, Zhihua Wei, Haoran Duan, Yang Long, Shouling Ji
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EfficientTDNN: Efficient Architecture Search for Speaker Recognition
Absolute Zero-Shot Learning
Considering the increasing concerns about data copyright and privacy issues, we present a novel Absolute Zero-Shot Learning (AZSL) …
Rui Gao, Fan Wan, Daniel Organisciak, Jiyao Pu, Junyan Wang, Haoran Duan, Peng Zhang, Xingsong Hou, Yang Long
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Absolute Zero-Shot Learning
Medical image fusion based on convolutional neural networks and non-subsampled contourlet transform
Although many powerful convolutional neural networks (CNN) have been applied to various image processing fields, due to the lack of …
Zeyu Wang, Xiongfei Li, Haoran Duan, Yanchi Su, Xiaoli Zhang, Xinjiang Guan
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Medical image fusion based on convolutional neural networks and non-subsampled contourlet transform