Search Results - "Zhang, Haokui"

Spectral–Spatial Classification of Hyperspectral Imagery with 3D Convolutional Neural Network by Li, Ying, Zhang, Haokui, Shen, Qiang

“…Recent research has shown that using spectral-spatial information can considerably improve the performance of hyperspectral image (HSI) classification. HSI…”
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Deep learning for remote sensing image classification: A survey by Li, Ying, Zhang, Haokui, Xue, Xizhe, Jiang, Yenan, Shen, Qiang

“…Remote sensing (RS) image classification plays an important role in the earth observation technology using RS data, having been widely exploited in both…”
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Hyperspectral Images Classification Based on Dense Convolutional Networks with Spectral-Wise Attention Mechanism by Fang, Bei, Li, Ying, Zhang, Haokui, Chan, Jonathan

“…Hyperspectral images (HSIs) data that is typically presented in 3-D format offers an opportunity for 3-D networks to extract spectral and spatial features…”
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3-D-ANAS: 3-D Asymmetric Neural Architecture Search for Fast Hyperspectral Image Classification by Zhang, Haokui, Gong, Chengrong, Bai, Yunpeng, Bai, Zongwen, Li, Ying

“…Hyperspectral images (HSIs) provide abundant spectral and spatial information, playing an irreplaceable role in land-cover classification. Recently, based on…”
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Memory-Efficient Hierarchical Neural Architecture Search for Image Restoration by Zhang, Haokui, Li, Ying, Chen, Hao, Gong, Chengrong, Bai, Zongwen, Shen, Chunhua

“…Recently, much attention has been spent on neural architecture search (NAS), aiming to outperform those manually-designed neural architectures on high-level…”
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Hyperspectral Image Classification Based on 3D Asymmetric Inception Network with Data Fusion Transfer Learning by Fang, Bei, Liu, Yu, Zhang, Haokui, He, Juhou

“…Hyperspectral image (HSI) classification has been marked by exceptional progress in recent years. Much of this progess has come from advances in convolutional…”
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Semi-Supervised Deep Learning Classification for Hyperspectral Image Based on Dual-Strategy Sample Selection by Fang, Bei, Li, Ying, Zhang, Haokui, Chan, Jonathan

“…This paper studies the classification problem of hyperspectral image (HSI). Inspired by the great success of deep neural networks in Artificial Intelligence…”
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Hyperspectral Image Classification Based on 3-D Separable ResNet and Transfer Learning by Jiang, Yenan, Li, Ying, Zhang, Haokui

“…Deep learning (DL) has proven to be a promising technique for hyperspectral image (HSI) classification. However, due to complex network structure and massive…”
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Hyperspectral Classification Based on Lightweight 3-D-CNN With Transfer Learning by Zhang, Haokui, Li, Ying, Jiang, Yenan, Wang, Peng, Shen, Qiang, Shen, Chunhua

“…Recently, hyperspectral image (HSI) classification approaches based on deep learning (DL) models have been proposed and shown promising performance. However,…”
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Pseudo-LiDAR-Based Road Detection by Sun, Libo, Zhang, Haokui, Yin, Wei

“…Road detection is a critically important task for self-driving cars. By employing LiDAR data, recent works have significantly improved the accuracy of road…”
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Hyperspectral Image Classification With Spatial Consistence Using Fully Convolutional Spatial Propagation Network by Jiang, Yenan, Li, Ying, Zou, Shanrong, Zhang, Haokui, Bai, Yunpeng

“…In recent years, deep convolutional neural networks (CNNs) have demonstrated impressive ability to represent hyperspectral images (HSIs) and achieved…”
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Grafting Transformer on Automatically Designed Convolutional Neural Network for Hyperspectral Image Classification by Xue, Xizhe, Zhang, Haokui, Fang, Bei, Bai, Zongwen, Li, Ying

“…Hyperspectral image (HSI) classification has been a hot topic for decides, as HSIs have rich spatial and spectral information, and provide a strong basis for…”
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Collaborative learning of lightweight convolutional neural network and deep clustering for hyperspectral image semi-supervised classification with limited training samples by Fang, Bei, Li, Ying, Zhang, Haokui, Chan, Jonathan Cheung-Wai

“…Deep learning provides excellent potentials for hyperspectral images (HSIs) classification, but it is infamous for requiring large amount of labeled samples…”
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Compare and Focus: Multi-Scale View Aggregation for Crowd Counting by Jiang, Shengqin, Cai, Jialu, Zhang, Haokui, Liu, Yu, Liu, Qingshan

“…Recently, some state-of-the-art (SOTA) methods have designed dedicated context extractors to capture the global information that serves as a key clue for…”
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Spatial-Temporal Interleaved Network for Efficient Action Recognition by Jiang, Shengqin, Zhang, Haokui, Qi, Yuankai, Liu, Qingshan

“…The decomposition of 3D convolution will considerably reduce the computing complexity of 3D convolutional neural networks, yet simple stacking restricts the…”
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Memory-Efficient Hierarchical Neural Architecture Search for Image Denoising by Zhang, Haokui, Li, Ying, Chen, Hao, Shen, Chunhua

“…Recently, neural architecture search (NAS) methods have attracted much attention and outperformed manually designed architectures on a few high-level vision…”
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Adapt-Infomap: Face clustering with adaptive graph refinement in infomap by Yu, Xiaotian, Yang, Yifan, Wang, Aibo, Xing, Ling, Zhang, Haokui, Yi, Hanling, Lu, Guangming, Wang, Xiaoyu

“…•Face clustering is first reformulated as non-overlapping community detection.•Three new metrics for facial image clustering are introduced.•A novel framework…”
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D3D: Dual 3-D Convolutional Network for Real-Time Action Recognition by Jiang, Shengqin, Qi, Yuankai, Zhang, Haokui, Bai, Zongwen, Lu, Xiaobo, Wang, Peng

“…Three-dimensional convolutional neural networks (3D CNNs) have been explored to learn spatio-temporal information for video-based human action recognition…”
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Tripartite‐structure transformer for hyperspectral image classification by Wan, Liuwei, Zhou, Meili, Jiang, Shengqin, Bai, Zongwen, Zhang, Haokui

“…Hyperspectral images contain rich spatial and spectral information, which provides a strong basis for distinguishing different land‐cover objects. Therefore,…”
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Exploiting Temporal Consistency for Real-Time Video Depth Estimation by Zhang, Haokui, Li, Ying, Cao, Yuanzhouhan, Liu, Yu, Shen, Chunhua, Yan, Youliang

“…Accuracy of depth estimation from static images has been significantly improved recently, by exploiting hierarchical features from deep convolutional neural…”
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