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Asymmetric Dual-Stream Networks for Lightweight RGB-D Salient Object Detection

Journal of Shanghai Jiaotong University (Science) 2025年 1-11页

作者： Wang, Yan Zheng, Wanlu Xia, Yaozheng Wang, Shaorong School of Information Science and Technology Beijing Forest University Beijing100083 China Engineering Research Center for Forestry-oriented Intelligent Information Processing of National Forestry and Grassland Administration Beijing100083 China Beijing Virtual Simulation and Visualization Engineering Center Beijing100871 China

Integrating image and depth information for RGB-D salient object detection has become a research hotspot in the field of saliency detection. Balancing the efficiency and performance of salient object detection models under resource constraints is a key challenge. To address this, this paper proposes an asymmetric lightweight network suitable for real-time RGB-D salient object detection tasks. The network reduces the number of network parameters by designing different lightweight feature extraction networks for different input modalities. Additionally, a multi-modal feature enhancement fusion module is designed to effectively fuse multi-modal features while compensating for the information loss caused by the lightweight backbone network. Moreover, this paper utilizes a global context module for dense decoding, aggregating local and global information of multi-scale features without significantly increasing computational complexity. The experimental results on five benchmarks show that the proposed lightweight RGB-D salient object detection network not only outperforms most mainstream models quantitatively and qualitatively, but also significantly outperforms other models in terms of efficiency, only with a parameter count of 5.1 million and a computational load of 0.77 gigaflops. This achievement validates the proposed method’s ability to achieve lightweight salient object detection while maintaining high efficiency. © Shanghai Jiao Tong University 2024.

关键词： Object recognition

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Passive activity enhances residual control ability in patients with complete spinal cord injury

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Neural Regeneration research 2025年第8期20卷 2337-2347页

作者： Yanqing Xiao Mingming Gao Zejia He Jia Zheng Hongming Bai Jia-Sheng Rao Guiyun Song Wei Song Xiaoguang Li Beijing Key Laboratory for Biomaterials and Neural Regeneration Beijing Advanced Innovation Center for Biomedical EngineeringSchool of Biological Science and Medical EngineeringBeihang UniversityBeijingChina Department of Rehabilitation Evaluation China Rehabilitation Research CenterBeijingChina Cardiac Center Beijing Children’s HospitalCapital Medical UniversityBeijingChina The State Key Laboratory of Virtual Reality Technology and Systems Beihang UniversityBeijingChina Department of Rehabilitation Engineering China Rehabilitation Science InstituteBeijingChina

Patients with complete spinal cord injury retain the potential for volitional muscle activity in muscles located below the spinal injury ***,because of prolonged inactivity,initial attempts to activate these muscles may not effectively engage any of the remaining neurons in the descending pathway.A previous study unexpectedly found that a brief clinical round of passive activity significantly increased volitional muscle activation,as measured by surface *** this study,we further explored the effect of passive activity on surface electromyographic signals during volitional control tasks among individuals with complete spinal cord *** patients with chronic complete thoracic spinal cord injury were *** electromyography data from eight major leg muscles were acquired and compared before and after the passive activity *** results indicated that the passive activity led to an increased number of activated volitional muscles and an increased frequency of *** the cumulative root mean square of surface electromyography amplitude for volitional control of movement showed a slight increase after passive activity,the difference was not statistically *** findings suggest that brief passive activity may enhance the ability to initiate volitional muscle activity during surface electromyography tasks and underscore the potential of passive activity for improving residual motor control among patients with motor complete spinal cord injury.

关键词： complete spinal cord injury cycle training epidural electrical stimulation motor training passive activity physiological state spinal cord circuit surface electromyography volitional control task

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Efficient edge matching using improved hierarchical chamfer matching

Efficient edge matching using improved hierarchical chamfer ...

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2009 IEEE International Symposium on Circuits and Systems, ISCAS 2009

作者： Qiang, Zhang Pengfei, Xu Wen, Li Zhongke, Wu Mingquan, Zhou Research Center for Virtual Reality and Visualization Technology Beijing Normal University 100875 China

ISBN: (纸本)9781424438280

Matching is a central problem in pattern recognition and computer vision, its applications includes object detection and tracking. HCMA (hierarchical chamfer matching) is a classical image matching algorithm, which utilizes the edge information to match the images robustly and the multi-resolution pyramid to accelerate the matching process. However, for images with cluttered background and high resolution, HCMA is relatively computationally expensive, which has impeded its success in practical applications, especially in real-time applications. In this paper, an improved hierarchical chamfer matching algorithm is proposed to reduce its computational cost without degrading its matching quality. According to the experimental results, the proposed improvements are able to save 75% ∼ 95% of the computational time, without causing any false matching. ©2009 IEEE.

关键词： Object detection

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Predicting Treatment Response of Repetitive Transcranial Magnetic Stimulation in Major Depressive Disorder Using an Explainable Machine Learning Model Based on Electroencephalography and Clinical Features

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Biological Psychiatry: Cognitive Neuroscience and Neuroimaging 2025年

作者： Zhao, Zongya Ran, Xiangying Niu, Yanxiang Qiu, Mengyue Lv, Shiyang Zhu, Mingjie Wang, Junming Li, Mingcai Gao, Zhixian Wang, Chang Xu, Yongtao Ren, Wu Zhou, Xuezhi Fan, Xiaofeng Song, Jinggui Qi, Mingchao Yu, Yi School of Medical Engineering School of Mathematical Medicine Xinxiang Medical University Xinxiang China Second Affiliated Hospital of Xinxiang Medical University Henan Collaborative Innovation Center of Prevention and Treatment of Mental Disorder Xinxiang China Henan International Joint Laboratory of Neural Information Analysis and Drug Intelligent Design Xinxiang China Henan Engineering Research Center of Medical Virtual Reality Intelligent Sensing Feedback Xinxiang China Henan Engineering Research Center of Physical Diagnostics and Treatment Technology for Mental and Neurological Diseases Henan China Engineering Technology Research Center of Neurosense and Control of Henan Province Xinxiang China Institute of Disaster and Emergency Medicine Tianjin University Tianjin China

Major depressive disorder (MDD) is highly heterogeneous in response to repetitive transcranial magnetic stimulation (rTMS), and identifying predictive biomarkers is essential for personalized treatment. However, most prior research studies have used either electroencephalography (EEG) or clinical features, lack interpretability, or have small sample sizes. This study included 74 patients with MDD who responded (responders) and 43 patients with MDD who did not respond (nonresponders) to rTMS. Eight baseline EEG metrics and clinical features were sent to 7 machine learning models to classify responders and nonresponders. Shapley additive explanations (SHAP) was used to interpret feature contributions. Combining phase locking value and clinical features with support vector machine achieved optimal classification performance (accuracy = 97.33%). SHAP revealed that delta and beta band functional connectivity (F3-P7, F3-P4, P3-P8, T7-Cz) significantly influenced predictions and differed between groups. This study developed an explainable predictive framework to predict rTMS response in MDD, enhancing the accuracy of rTMS response prediction and supporting personalized treatment in MDD. © 2025 Society of Biological Psychiatry

关键词： Biomarkers Machine learning Major depressive disorder Predicting treatment response rTMS

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Back-to-Front Ordering of Triangles in Digital Terrain Models over Regular Grids

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Journal of Computer Science & technology 2018年第6期33卷 1192-1203页

作者： Jesús Alonso Robert Joan-Arinyo Informatics in Engineering Group Technical University of Catalonia 08028 Barcelona Catalonia Center for Biomedical Engineering Research Sant Joan de Ddu Research Institute 08028 Barcelona Catalonia Visualization Interaction and Virtual Reality Group Technical University of Catalonia 08028 Barcelona Catalonia

Visiting triangles that conform a digital terrain model is a core operation in a number of fields like animationand video games or generating profiles, cross-sections, and contours in civil engineering. Perfornfing the visit in an efficientmanner is an issue specially when the output of the traversal depends in some way on additional parameters or informationchanging over time, for example, a moving point of view. In this work we report a set of rules that, given a digital terrainmodel defined over a regular grid and an arbitrary point of view outside the terrain, define a total back-to-front order in theset of digital terrain model triangles with respect to the point. The set of rules is minimal, complete and correct. To assesshow the rules perform, we have implemented a CPU-based algorithm for realistically rendering height fields defined overregular grids. The algorithm does not make use of the z-buffer or shaders featured by our graphics card. We show how ouralgorithm is implemented and show visual results obtained from synthetic and real data. We further discuss the algorithmperformance with respect to two algorithms： a naive algorithm that visits triangles according to grid indices and does notsolve the hidden line problem, and the z-buffer provided by the graphics card featured by our computer. Our algorithmallows real-time interaction when the point of view arbitrarily moves in 3D space and we show that its performance is asgood as that of the z-buffer graphics card.

关键词： back-to-front ordering digital terrain model elevation terrain model triangle strip, visibility

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Isometric 3D Shape Partial Matching Using GD-DNA

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Journal of Computer Science & technology 2018年第6期33卷 1178-1191页

作者： Guo-Guang Du Cong-Li Yin Ming-Quan Zhou Zhong-Ke Wu Ya-Chun Fan Fu-Qing Duan Peng-Bo Zhou College of Information Science and Technology Beijing Normal University Beijing 100875 China Engineering Research Center of Virtual Reality and Applications Ministry of Education Beijing 100875 China

Isometric 3D shape partial matching has attracted a great amount of interest, with a plethora of applicationsranging from shape recognition to texture mapping. In this paper, we propose a novel isometric 3D shape partial matchingalgorithm using the geodesic disk Laplace spectrum （GD-DNA）. It transforms the partial matching problem into the geodesicdisk matching problem. Firstly, the largest enclosed geodesic disk extracted from the partial shape is matched with geodesicdisks from the full shape by the Laplace spectrum of the geodesic disk. Secondly, Generalized Multi-Dimensional Scalingalgorithm （GMDS） and Euclidean embedding are conducted to establish final point correspondences between the partialand the full shape using the matched geodesic disk pair. The proposed GD-DNA is discriminative for matching geodesicdisks, and it can well solve the anchor point selection problem in challenging partial shape matching tasks. Experimentalresults on the Shape Retrieval Contest 2016 （SHREC＇16） benchmark validate the proposed method, and comparisons withisometric partial matching algorithms in the literature show that our method has a higher precision.

关键词： isometric partial matching geodesic disk Laplace spectrum

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On-line boosting for car detection from aerial images

On-line boosting for car detection from aerial images

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2007 IEEE International Conference on research, Innovation and Vision for the Future, RIVF 2007

作者： Nguyen, Thuy Thi Grabner, Helmut Bischof, Horst Gruber, Barbara Institute for Computer Graphics and Vision Graz University of Technology Austria VRVis Research Center for Virtual Reality and Visualization Graz Austria

ISBN: (纸本)1424406943

In this paper, we present a new approach for automatic car detection from aerial images. The system exploits a robust machine learning method known as boosting for efficient car detection from high resolution aerial images. We propose to use on-line boosting with interactive training framework to efficiently train and improve the detector. We use integral images for fast computation of features. This also allows to perform exhaustive search for detection of cars after training. For post processing, we employ a mean shift clustering method, which improves the detection rate significantly. In contrast to related work, our framework does not rely on any priori knowledge of the image like a site-model or contextual information, but if necessary this information can be incorporated. An extensive set of experiments on high resolution aerial images using the new UltraCamD shows the superiority of our approach. © 2007 IEEE.

关键词： Tracking (position)

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Metropogis: A semi-automatic city documentation system

Metropogis: A semi-automatic city documentation system

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2002 International Symposium of ISPRS Commission III on Photogrammetric Computer Vision, PCV 2002

作者： Klaus, Andreas Bauer, Joachim Karner, Konrad Schindler, Konrad VRVis Research Center for Virtual Reality and Visualization United States Institute for Computer Graphics and Vision Graz University of Technology Austria

In this paper we report on a new system to enhance a 3D block model of a real city with terrestrial measured data of the facades. The terrestrial data consists of photographs taken by a hand-held digital consumer camera using short baselines. The relative orientation of the photographs is calculated automatically and fitted towards the 3D block model with minimized human input using vanishing points. The introduced city documentation system delivers a fully 3D geographic information data set and is called MetropoGIS. © 2002 International Society for Photogrammetry and Remote Sensing. All rights reserved.

关键词： Geographic information systems

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Metropogis: A feature based city modeling system

Metropogis: A feature based city modeling system

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2002 International Symposium of ISPRS Commission III on Photogrammetric Computer Vision, PCV 2002

作者： Bauer, Joachim Klaus, Andreas Karner, Konrad Zach, Christopher Schindler, Konrad VRVis Research Center for Virtual Reality and Visualization United States Institute for Computer Graphics and Vision Graz University of Technology Austria

In this paper we report on a system to extract 3D information from oriented digital facade images using various feature extraction/matching methods. We emphasize on 2D feature extraction from digital images including contour chains, line segments and vanishing points. The extraction of 3D primitives is based on line matching over multiple oriented views and 3D plane detection by a line grouping process. The MetropoGIS system is designed for the automatic extraction of 3D data from facade images. © 2002 International Society for Photogrammetry and Remote Sensing. All rights reserved.

关键词： Feature extraction

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Facilitating knowledge maintenance of clinical guidelines and protocols

引用

Studies in Health technology and Informatics 2004年第PT 1期107卷 57-61页

作者： Votruba, Peter Miksch, Silvia Kosara, Robert Vienna University of Technology Inst. of Software Technology and Interactive Systems Favoritenstraße 9-11/188 A-1040 Vienna Austria VRVis Research Center for Virtual Reality and Visualization Vienna Austria

Clinical protocols and guidelines are widely used in the medical domain to improve disease management techniques. Different software systems are in development to support the design and the execution of such guidelines. The bottleneck in the guideline software developing process is the transformation of the textbased clinical guidelines into a formal representation, which can be used by the execution software. This paper introduces a method and a tool that was designed to provide a solution for that bottleneck The so-called Guideline Markup Tool (GMT) facilitates the translation of guidelines into a formal representation written in XML. This tool enables the protocol designer to create links between the original guideline and its formal representation and ease the editing of guidelines applying design patterns in the form of macros. The usefulness of our approach is illustrated using GMT to edit Asbru protocols. We performed a usability study with eight participants to examine the usefulness of the GMT and of the Asbru macros, which showed that the proposed approach is very appropriate to author and maintain clinical guidelines. © 2004 IMIA. All rights reserved.

关键词： Medical informatics

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