Search Results - "Hu, Haoji"

RCSFN: A remote sensing image scene classification and recognition network based on rectangle convolutional self attention fusion by Hou, Jingjin, Zhou, Houkui, Yu, Huimin, Hu, Haoji

“…Remote sensing scene classification is a critical task in the processing and analysis of remote sensing images. Traditional methods typically use standard…”
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A Multi-Scale Convolution and Multi-Layer Fusion Network for Remote Sensing Forest Tree Species Recognition by Hou, Jinjing, Zhou, Houkui, Hu, Junguo, Yu, Huimin, Hu, Haoji

“…Forest tree species identification in the field of remote sensing has become an important research topic. Currently, few research methods combine global and…”
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Triplet Distillation For Deep Face Recognition by Feng, Yushu, Wang, Huan, Hu, Haoji Roland, Yu, Lu, Wang, Wei, Wang, Shiyan

“…Convolutional neural networks (CNNs) have achieved great successes in face recognition, which unfortunately comes at the cost of massive computation and…”
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Emotion Recognition Based on Skin Potential Signals with a Portable Wireless Device by Chen, Shuhao, Jiang, Ke, Hu, Haoji, Kuang, Haoze, Yang, Jianyi, Luo, Jikui, Chen, Xinhua, Li, Yubo

“…Emotion recognition is of great importance for artificial intelligence, robots, and medicine etc. Although many techniques have been developed for emotion…”
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SOUP-GAN: Super-Resolution MRI Using Generative Adversarial Networks by Zhang, Kuan, Hu, Haoji, Philbrick, Kenneth, Conte, Gian Marco, Sobek, Joseph D, Rouzrokh, Pouria, Erickson, Bradley J

“…There is a growing demand for high-resolution (HR) medical images for both clinical and research applications. Image quality is inevitably traded off with…”
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UAV Detection and Tracking in Urban Environments Using Passive Sensors: A Survey by Yan, Xiaochen, Fu, Tingting, Lin, Huaming, Xuan, Feng, Huang, Yi, Cao, Yuchen, Hu, Haoji, Liu, Peng

“…Unmanned aerial vehicles (UAVs) have gained significant popularity across various domains, but their proliferation also raises concerns about security, public…”
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GFilter: A General Gram Filter for String Similarity Search by Hu, Haoji, Zheng, Kai, Wang, Xiaoling, Zhou, Aoying

“…Numerous applications such as data integration, protein detection, and article copy detection share a similar core problem: given a string as the query, how to…”
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Affine Deformation Model Based Intra Block Copy for Intra Frame Coding by Li, Daowen, Zhang, Zhihao, Qiu, Kaitian, Pan, Yaqing, Li, Yingming, Hu, Haoji Roland, Yu, Lu

“…In intra frame coding, many methods are proposed to reduce spatial redundancy, including angular intra prediction and intra block copy. However, these two…”
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Distributed Filter with Consensus Strategies for Sensor Networks by Xie, Li, Caimou, Huang, Hu, Roland

“…Consensus algorithm for networked dynamic systems is an important research problem for data fusion in sensor networks. In this paper, the distributed filter…”
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Deep Residual Weight-Sharing Attention Network With Low-Rank Attention for Visual Question Answering by Qin, Bosheng, Hu, Haoji, Zhuang, Yueting

“…The attention-based networks have become prevailing recently in visual question answering (VQA) due to their high performances. However, the extensive memory…”
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Physics-Guided Deep Neural Networks for Power Flow Analysis by Hu, Xinyue, Hu, Haoji, Verma, Saurabh, Zhang, Zhi-Li

“…Solving power flow (PF) equations is the basis of power flow analysis, which is important in determining the best operation of existing systems, performing…”
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SemiGMMPoint: Semi-supervised point cloud segmentation based on Gaussian mixture models by Zhuang, Xianwei, Wang, Hualiang, He, Xiaoxuan, Fu, Siming, Hu, Haoji

“…Existing semi-supervised point cloud segmentation methods emphasize on discriminative learning, which overlooks the underlying class-conditional distributions…”
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Breast tumor segmentation using neural cellular automata and shape guided segmentation in mammography images by Ali, Mudassar, Wu, Tong, Hu, Haoji, Mahmood, Tariq

“…Using computer-aided design (CAD) systems, this research endeavors to enhance breast cancer segmentation by addressing data insufficiency and data complexity…”
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Attention guided feature pyramid network for crowd counting by Chu, Huanpeng, Tang, Jilin, Hu, Haoji

“…Crowd counting has become a hot topic because of its wide applications in video surveillance and public security. However, one main problem of the deep…”
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HPAC: a forest tree species recognition network based on multi- scale spatial enhancement in remote sensing images by Hou, Jingjin, Zhou, Houkui, Yu, Huimin, Hu, Haoji

“…Forest tree species recognition is a pivotal subject in the field of remote sensing. To address this, deep learning has been extensively applied. Thus far,…”
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Collaborative Distillation for Ultra-Resolution Universal Style Transfer by Wang, Huan, Li, Yijun, Wang, Yuehai, Hu, Haoji, Yang, Ming-Hsuan

“…Universal style transfer methods typically leverage rich representations from deep Convolutional Neural Network (CNN) models (e.g., VGG-19) pre-trained on…”
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Application of Tswin-F network based on multi-scale feature fusion in tomato leaf lesion recognition by Ye, Yuanbo, Zhou, Houkui, Yu, Huimin, Hu, Haoji, Zhang, Guangqun, Hu, Junguo, He, Tao

“…•A new recognition model based on transformer architecture is proposed. Self-supervised learning is introduced to strengthen the modeling ability of…”
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AuxBranch: Binarization residual-aware network design via auxiliary branch search by Fu, Siming, Chu, Huanpeng, Yu, Lu, Peng, Bo, Li, Zheyang, Tan, Wenming, Hu, Haoji

“…•Network binarization inevitably leads to feature binarization residual.•We conduct the baseline-auxiliary topology to boost the binary model capability.•We…”
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Find Who to Look at: Turning From Action to Saliency by Mai Xu, Yufan Liu, Hu, Roland, Feng He

“…The past decade has witnessed the use of high-level features in saliency prediction for both videos and images. Unfortunately, the existing saliency prediction…”
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Structured Pruning for Efficient Convolutional Neural Networks via Incremental Regularization by Wang, Huan, Hu, Xinyi, Zhang, Qiming, Wang, Yuehai, Yu, Lu, Hu, Haoji

“…Modern Convolutional Neural Networks (CNNs) are usually restricted by their massive computation and high storage. Parameter pruning is a promising approach for…”
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