Search Results - "Rao, Zhibo"

Voltage abnormity prediction method of lithium-ion energy storage power station using informer based on Bayesian optimization by Rao, Zhibo, Wu, Jiahui, Li, Guodong, Wang, Haiyun

“…Accurately detecting voltage faults is essential for ensuring the safe and stable operation of energy storage power station systems. To swiftly identify…”
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CFNet: Cascade and Fused Cost Volume for Robust Stereo Matching by Shen, Zhelun, Dai, Yuchao, Rao, Zhibo

“…Recently, the ever-increasing capacity of large-scale annotated datasets has led to profound progress in stereo matching. However, most of these successes are…”
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Rethinking Training Strategy in Stereo Matching by Rao, Zhibo, Dai, Yuchao, Shen, Zhelun, He, Renjie

“…In stereo matching, various learning-based approaches have shown impressive performance in solving traditional difficulties on multiple datasets. While most…”
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Bidirectional Guided Attention Network for 3-D Semantic Detection of Remote Sensing Images by Rao, Zhibo, He, Mingyi, Zhu, Zhidong, Dai, Yuchao, He, Renjie

“…Semantic segmentation and disparity estimation are in the research frontier of the computer vision and remote sensing (RS) fields. However, existing methods…”
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Synthetic-to-Real Domain Adaptation Joint Spatial Feature Transform for Stereo Matching by Li, Xing, Fan, Yangyu, Rao, Zhibo, Lv, Guoyun, Liu, Shiya

“…Most deep learning-based state-of-the-art stereo matching methods significantly depend on large-scale datasets. However, it is implausible to collect…”
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Digging Into Uncertainty-Based Pseudo-Label for Robust Stereo Matching by Shen, Zhelun, Song, Xibin, Dai, Yuchao, Zhou, Dingfu, Rao, Zhibo, Zhang, Liangjun

“…Due to the domain differences and unbalanced disparity distribution across multiple datasets, current stereo matching approaches are commonly limited to a…”
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Improving Stereo Matching Generalization via Fourier-Based Amplitude Transform by Li, Xing, Fan, Yangyu, Rao, Zhibo, Guo, Zhe, Lv, Guoyun

“…Stereo matching CNNs suffer from performance deteriorate when evaluated under different distributions from training data. Previous domain…”
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MaskRecon: High-quality human reconstruction via masked autoencoders using a single RGB-D image by Li, Xing, Fan, Yangyu, Guo, Zhe, Rao, Zhibo, Duan, Yu, Liu, Shiya

“…In this paper, we explore reconstructing high-quality clothed 3D humans from a single RGB-D image, assuming that virtual humans can be represented by…”
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Patch attention network with generative adversarial model for semi-supervised binocular disparity prediction by Rao, Zhibo, He, Mingyi, Dai, Yuchao, Shen, Zhelun

“…In this paper, we address the challenging points of binocular disparity estimation: (1) unsatisfactory results in the occluded region when utilizing warping…”
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Cascaded recurrent networks with masked representation learning for stereo matching of high-resolution satellite images by Rao, Zhibo, Li, Xing, Xiong, Bangshu, Dai, Yuchao, Shen, Zhelun, Li, Hangbiao, Lou, Yue

“…Stereo matching of satellite images presents challenges due to missing data, domain differences, and imperfect rectification. To address these issues, we…”
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Sliding space-disparity transformer for stereo matching by Rao, Zhibo, He, Mingyi, Dai, Yuchao, Shen, Zhelun

“…Transformers have achieved impressive performance in natural language processing and computer vision, including text translation, semantic segmentation, etc…”
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DARTS-based morphological neural network design and application in bearing fault diagnosis by Peng, Sitian, Jiang, Jingwen, Ou, Qiaofeng, Xiong, Bangshu, Liu, Chang, Rao, Zhibo

“…Morphological filters are widely used in data pre-processing, whereas the existing morphological filters are not optimal in terms of performance, since they…”
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Adaptive impedance control for docking robot via Stewart parallel mechanism by Chen, Zhihua, Zhan, Gan, Jiang, Zhifan, Zhang, Wencai, Rao, Zhibo, Wang, Hua, Li, Jiehao

“…This paper provides an adaptive impedance control strategy about docking robot, a locking mechanism scheme based on the Stewart platform developing for the…”
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NLCA-Net: a non-local context attention network for stereo matching by Rao, Zhibo, He, Mingyi, Dai, Yuchao, Zhu, Zhidong, Li, Bo, He, Renjie

“…Accurate disparity prediction is a hot spot in computer vision, and how to efficiently exploit contextual information is the key to improve the performance. In…”
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Masked Representation Learning for Domain Generalized Stereo Matching by Rao, Zhibo, Xiong, Bangshu, He, Mingyi, Dai, Yuchao, He, Renjie, Shen, Zhelun, Li, Xing

“…Recently, many deep stereo matching methods have begun to focus on cross-domain performance, achieving impressive achievements. However, these methods did not…”
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Input-Perturbation-Sensitivity for Performance Analysis of CNNS on Image Recognition by Rao, Zhibo, He, Mingyi, Zhu, Zhidong

“…Performance assessment is critical to learning systems, but it is tough to explain the relationship between data, model, and performance. In this paper, the…”
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Him-Net: A New Neural Network Approach for SAR and Optical Image Template Matching1 by Xu, Haoran, He, Mingyi, Rao, Zhibo, Li, Wenyao

“…SAR and optical images provide highly complementary information about observed scenes. The integrated use of these two data is desired in many data fusion…”
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MVS2: Deep Unsupervised Multi-View Stereo with Multi-View Symmetry by Dai, Yuchao, Zhu, Zhidong, Rao, Zhibo, Li, Bo

“…The success of existing deep-learning based multi-view stereo (MVS) approaches greatly depends on the availability of large-scale supervision in the form of…”
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CFNet: Cascade and Fused Cost Volume for Robust Stereo Matching by Shen, Zhelun, Dai, Yuchao, Rao, Zhibo

“…Recently, the ever-increasing capacity of large-scale annotated datasets has led to profound progress in stereo matching. However, most of these successes are…”
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Multi-scale Cross-form Pyramid Network for Stereo Matching by Zhu, Zhidong, He, Mingyi, Dai, Yuchao, Rao, Zhibo, Li, Bo

“…Stereo matching plays an indispensable part in autonomous driving, robotics and 3D scene reconstruction. We propose a novel deep learning architecture, which…”
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