检索结果-内蒙古大学图书馆

arXiv 2025年

作者： Guo, Xuejian Tian, Zhiqiang Wang, Yuehang Li, Siqi Jiang, Yu Du, Shaoyi Gao, Yue the School of Software Engineering Xi’an Jiaotong University Xi’an710049 China the College of Computer Science and Technology Jilin University Changchun130012 China the National Key Laboratory of Human-Machine Hybrid Augmented Intelligence National Engineering Research Center for Visual Information and Applications Institute of Artificial Intelligence and Robotics Xi’an Jiaotong University Xi’an710049 China BNRist THUIBCS KLISS BLBCI School of Software Tsinghua University Beijing100084 China

Low-light image enhancement aims to restore the under-exposure image captured in dark scenarios. Under such scenarios, traditional frame-based cameras may fail to capture the structure and color information due to the exposure time limitation. Event cameras are bio-inspired vision sensors that respond to pixel-wise brightness changes asynchronously. Event cameras’ high dynamic range is pivotal for visual perception in extreme low-light scenarios, surpassing traditional cameras and enabling applications in challenging dark environments. In this paper, inspired by the success of the retinex theory for traditional frame-based low-light image restoration, we introduce the first methods that combine the retinex theory with event cameras and propose a novel retinex-based low-light image restoration framework named ERetinex. Among our contributions, the first is developing a new approach that leverages the high temporal resolution data from event cameras with traditional image information to estimate scene illumination accurately. This method outperforms traditional image-only techniques, especially in low-light environments, by providing more precise lighting information. Additionally, we propose an effective fusion strategy that combines the high dynamic range data from event cameras with the color information of traditional images to enhance image quality. Through this fusion, we can generate clearer and more detail-rich images, maintaining the integrity of visual information even under extreme lighting conditions. The experimental results indicate that our proposed method outperforms state-of-the-art (SOTA) methods, achieving a gain of 1.0613 dB in PSNR while reducing FLOPS by 84.28%. The code is available at https://***/lodew920/ERetinex. © 2025, CC BY.

关键词： Cameras

来源：评论

学校读者我要写书评

暂无评论

Multi-scale Contrastive Learning for Gastroenteroscopy Classification

Multi-scale Contrastive Learning for Gastroenteroscopy Class...

引用

Annual IEEE Symposium on computer-Based Medical Systems

作者： Dan Li Xuechen Li Zhibin Peng Wenting Chen Linlin Shen Guangyao Wu Computer Vision Institute School of Computer Science & Software Engineering Shenzhen University National Engineering Laboratory for Big Data System Computing Technology ShenZhen University Shenzhen China City University of Hong Kong Hong Kong SAR China Shenzhen Institute of Artificial Intelligence & Robotics for Society Guangdong Key Laboratory of Intelligent Information Processing Shenzhen University General Hospital

In gastroenteroscopy image analysis, numerous CADs demonstrate that deep learning aids doctors' diagnosis. The shapes and sizes of the lesions are varied. And in the clinic, the dataset appears to be data imbalanced. However, existing methods directly classify by texture and ignore lesions with various shapes and sizes. To address the issue above, we propose a deep neural network, which consists of multi-scale feature extraction, contrastive feature learning and a multi-scale feature fusion module. We train the contrastive feature learning module and multi-scale feature fusion module simultaneously to alleviate the issue of data distribution differences. Thus, the proposed network can better identify various categories. Extensive experiments on the Hyper Kvasir dataset show that the proposed Hybrid-M2CL outperforms the benchmark proposed by the dataset with 5.0% Macro Precision, 3.3% Macro Recall, 3.4% Macro F1-score, 3.3% Micro Precision, 3.6% MCC. In addition, it outperforms the SOTA by 1.1% Macro F1-score, 2.6% MCC, and 2.0% B-ACC.

关键词：

来源：评论

学校读者我要写书评

暂无评论

Bioluminescence tomography system for in vivo irradiation guidance

Bioluminescence tomography system for in vivo irradiation gu...

引用

Optical Tomography and Spectroscopy, OTS 2022

作者： Deng, Zijian Xu, Xiangkun Iordachita, Iulian Dehghani, Hamid Zhang, Bin Wong, John W. Wang, Ken Kang-Hsin Department of Radiation Oncology and Molecular Radiation Sciences Johns Hopkins University BaltimoreMD21287 United States Biomedical Imaging and Radiation Technology Laboratory Department of Radiation Oncology University of Texas Southwestern Medical Center DallasTX75390 United States Laboratory for Computational Sensing and Robotics Johns Hopkins University BaltimoreMD21218 United States School of Computer Science University of Birmingham Edgbaston BirminghamB15 2TT United Kingdom School of Biomedical Engineering Dalian University of Technology Liaoning Dalian116024 China

We constructed a bioluminescence tomography(BLT) to localize soft tissue targets for preclinical radiotherapy study. With the threshold and margin designed for target volume, BLT can provide opportunity to perform con... 详细信息

ISBN: (纸本)9781557528209

关键词： Irradiation

来源：评论

学校读者我要写书评

暂无评论

Visual-tactile Sensing for Real-time Liquid Volume Estimation in Grasping

arXiv

引用

arXiv 2022年

作者： Zhu, Fan Jia, Ruixing Yang, Lei Yan, Youcan Wang, Zheng Pan, Jia Wang, Wenping School of Robotics Xi'an-Jiaotong Liverpool University China Department of Computer Science The University of Hong Kong Hong Kong Department of Biomedical Engineering City University of Hong Kong Hong Kong Department of Mechanical and Energy Engineering Southern University of Science and Technology China

We propose a deep visuo-tactile model for real-time estimation of the liquid inside a deformable container in a proprioceptive way. We fuse two sensory modalities, i.e., the raw visual inputs from the RGB camera and the tactile cues from our specific tactile sensor without any extra sensor calibrations. The robotic system is well controlled and adjusted based on the estimation model in real time. The main contributions and novelties of our work are listed as follows: 1) Explore a proprioceptive way for liquid volume estimation by developing an end-to-end predictive model with multi-modal convolutional networks, which achieve a high precision with an error of ∼ 2 ml in the experimental validation. 2) Propose a multitask learning architecture which comprehensively considers the losses from both classification and regression tasks, and comparatively evaluate the performance of each variant on the collected data and actual robotic platform. 3) Utilize the proprioceptive robotic system to accurately serve and control the requested volume of liquid, which is continuously flowing into a deformable container in real time. 4) Adaptively adjust the grasping plan to achieve more stable grasping and manipulation according to the real-time liquid volume prediction. Copyright © 2022, The Authors. All rights reserved.

关键词： Containers

来源：评论

学校读者我要写书评

暂无评论

Distributed formation control of networked mechanical systems

引用

IFAC-PapersOnLine 2022年第13期55卷 294-299页

作者： N. Javanmardi P. Borja M.J. Yazdanpanah J.M.A. Scherpen Control and Intelligent Processing Center of Excellence School of Electrical and Computer Engineering University of Tehran Tehran Iran Department of Cognitive Robotics Delft University of Technology Delft The Netherlands Jan C. Wilems Center for Systems and Control ENTEG Faculty of Science and Engineering University of Groningen Groningen The Netherlands

This paper investigates a distributed formation tracking control law for large-scale networks of mechanical systems. In particular, the formation network is represented by a directed communication graph with leaders and followers, where each agent is described as a port-Hamiltonian system with a constant mass matrix. Moreover, we adopt a distributed parameter approach to prove the scalable asymptotic stability of the network formation, i.e., the scalability with respect to the network size and the specific formation preservation. A simulation case illustrates the effectiveness of the proposed control approach.

关键词： Autonomous systems Cooperative control Networked control systems Large-scale systems Port-Hamiltonian systems Scalability

来源：评论

学校读者我要写书评

暂无评论

Dual-mode power reduction technique for real-time image and video processing board

Dual-mode power reduction technique for real-time image and ...

引用

作者： Jacob, Sunil Menon, Varun G. Joseph, Saira Sehdev, Paramjit Center for Robotics SCMS School of Engineering and Technology Cochin683576 India Department of Computer Science and Engineering SCMS School of Engineering and Technology Cochin683576 India Department of Electronics and Communication Engineering SCMS School of Engineering and Technology Cochin683576 India Department of Mathematics and Computer Science Coppin State University BaltimoreMD21216 United States

In real-time image and video processing boards, power, speed, and area are the most often used measures for determining the performance of motion imagery applications. Due to technological advancement, power consumption has gained major attention in real-time image processing ability compared to speed. The increase in on-chip temperature due to larger power consumption has resulted in reduced operating life of chip and battery-driven devices. In this work, a new logic family has been introduced i.e., dual-mode logic (DML), which provides flexibility between the optimization of energy and delay (E-D optimization). This gate can be switched between two modes of operation that is a static mode (CMOS-like mode), which provides low power consumption and dynamic mode, which provides high speed. Recently, power leakage has become a dominant problem due to continuous data transfer among a large number of connected devices. Thus, to reduce power leakage, a self-controllable voltage level (SVL) power reduction technique is used along with DML logic. In the SVL technique, a maximum dc voltage is provided to the active load circuit on-demand or decrease the dc supplied to the load circuit in the standby mode. Integrating DML with the SVL technique reduces power consumption as well as leakage power. A 4-bit RCA, 8-bit RCA, and 16-bit RCA are used for verifying the proposed method and comparison of performance parameters is done with a conventional circuit. Complete circuit implementation and simulation are carried out in TANNER EDA version 13 tools with operating voltage of 1 V. The proposed system is further applied to real-time image, and we obtain the finest resolution level with minimum power consumption. © 2020, Springer-Verlag GmbH Germany, part of Springer Nature.

关键词： Electric power utilization

来源：评论

学校读者我要写书评

暂无评论

THE BLESSINGS OF MULTIPLE TREATMENTS AND OUTCOMES IN TREATMENT EFFECT ESTIMATION

arXiv

引用

arXiv 2023年

作者： Wu, Yong Liu, Mingzhou Yan, Jing Fu, Yanwei Wang, Shouyan Wang, Yizhou Sun, Xinwei Institute of Science and Technology for Brain-Inspired Intelligence Fudan University China Computer Science Department Peking University China School of Data Science Fudan University China Key Laboratory of Computational Neuroscience Brain-Inspired Intelligence China MOE Frontiers Center for Brain Science Fudan University China Zhangjiang Fudan International Innovation Center China Engineering Research Center of AI & Robotics Ministry of Education Fudan University China

Assessing causal effects in the presence of unobserved confounding is a challenging problem. Existing studies leveraged proxy variables or multiple treatments to adjust for the confounding bias. In particular, the latter approach attributes the impact on a single outcome to multiple treatments, allowing estimating latent variables for confounding control. Nevertheless, these methods primarily focus on a single outcome, whereas in many real-world scenarios, there is greater interest in studying the effects on multiple outcomes. Besides, these outcomes are often coupled with multiple treatments. Examples include the intensive care unit (ICU), where health providers evaluate the effectiveness of therapies on multiple health indicators. To accommodate these scenarios, we consider a new setting dubbed as multiple treatments and multiple outcomes. We then show that parallel studies of multiple outcomes involved in this setting can assist each other in causal identification, in the sense that we can exploit other treatments and outcomes as proxies for each treatment effect under study. We proceed with a causal discovery method that can effectively identify such proxies for causal estimation. The utility of our method is demonstrated in synthetic data and sepsis disease. Copyright © 2023, The Authors. All rights reserved.

关键词： Intensive care units

来源：评论

学校读者我要写书评

暂无评论

Extraction of Rice Phenological Metrics Using Temporally Correlated Multispectral Drone Imagery

Extraction of Rice Phenological Metrics Using Temporally Cor...

引用

International IEEE Conference on Signal-Image Technologies and Internet-Based System

作者： D. Wasif M.Q. Khan R. Murtaza M.Z. Ahmad Z. Zafar M. Shahzad K. Berns M.M. Fraz School of Electrical Engineering and Computer Science (SEECS) National University of Sciences and Technology (NUST) Islamabad Pakistan Department of Aerospace and Geodesy Data Science in Earth Observation Technical University of Munich (TUM) Munich Germany Robotics Research Lab Technical University of Kaiserslautern Germany

The rice crop holds great potential to contribute to the economy of most South Asian agricultural countries. However, due to global warming, changes in weather and climate have made it difficult for farmers to accurately predict the timing of various growth stages in the life cycle of rice. Deciding when to apply fertilizers to maximize yield and pesticides to avoid diseases becomes a challenge with conventional farming techniques. Hence, extracting key phenological metrics and analyzing the growth dynamics of different rice varieties are essential for this purpose. The foremost issue in this process is the lack of available multispectral drone imagery datasets, especially in South-East Asia. Therefore, a novel multispectral dataset of rice crops is presented that consists of three different varieties: Kainat, Hybrid, and Super Kernel in East Punjab, Pakistan. The study’s objective is to use this dataset to model a time series of Normalized Difference Vegetation Index (NDVI) and use the change detection method to map key phenological variables using the rate of change of NDVI. The analysis of available data using phenological metrics represents that the Kainat Basmati variant is growing faster than Hybrid as it reaches its peak about ten days earlier than Hybrid. Overall, our study demonstrates that remotely captured unmanned aerial vehicle (UAV) imagery of rice can streamline the process of predicting phenological metrics of rice and provide farmers with an automated statistical model of the growth stages of various crops.

关键词： Measurement Time series analysis Crops Vegetation mapping Predictive models Autonomous aerial vehicles Kernel

来源：评论

学校读者我要写书评

暂无评论

A Hybrid NOMA-PLNC Wireless Relay Scheme

A Hybrid NOMA-PLNC Wireless Relay Scheme

引用

Consumer Communications and Networking Conference, CCNC IEEE

作者： Samikkannu Rajkumar Dushantha Nalin K. Jayakody Zheng Chang School of Computer Science and Robotics National Research Tomsk Polytechnic University Tomsk Russia Faculty of Information Technology University of Jyvaskykä Jyvskylä Finland

ISBN: (数字)9781728197944

ISBN: (纸本)9781728197951

In this paper, a novel system model for the non orthogonal multiple access (NOMA) based wireless network is proposed using physical layer network coding (PLNC) scheme. The outage performance of a two pairs hybrid NOMA-PLNC relay network is analyzed. Proposed network is designed with three time slots and half-duplex decode-and-forward (DF) relay. A closed form expression for the end-to-end outage probability of the proposed NOMA-PLNC relay network is derived. It is noted that the performance of the proposed hybrid NOMA-PLNC relay network is significantly improved when compare to the conventional orthogonal multiple access (OMA)-PLNC relay network. Finally, numerical results of the proposed relay network is validated using the simulated experimental results.

关键词： NOMA Closed-form solutions Wireless networks Relay networks (telecommunication) Probability Physical layer Power system reliability

来源：评论

学校读者我要写书评

暂无评论

SPECTRE: Visual Speech-Informed Perceptual 3D Facial Expression Reconstruction from Videos

SPECTRE: Visual Speech-Informed Perceptual 3D Facial Express...

引用

IEEE computer Society Conference on computer Vision and Pattern Recognition Workshops (CVPRW)

作者： Panagiotis P. Filntisis George Retsinas Foivos Paraperas-Papantoniou Athanasios Katsamanis Anastasios Roussos Petros Maragos Institute of Robotics Athena Research Center Maroussi Greece School of Electrical & Computer Engineering National Technical University of Athens Greece Imperial College London UK Institute for Language and Speech Processing Athena R.C. Greece Institute of Computer Science (ICS) Foundation for Research & Technology - Hellas (FORTH) Greece College of Engineering Mathematics and Physical Sciences University of Exeter UK

The recent state of the art on monocular 3D face reconstruction from image data has made some impressive advancements, thanks to the advent of Deep Learning. However, it has mostly focused on input coming from a single RGB image, overlooking the following important factors: a) Nowadays, the vast majority of facial image data of interest do not originate from single images but rather from videos, which contain rich dynamic information. b) Furthermore, these videos typically capture individuals in some form of verbal communication (public talks, teleconferences, audiovisual human-computer interactions, interviews, monologues/dialogues in movies, etc). When existing 3D face reconstruction methods are applied in such videos, the artifacts in the reconstruction of the shape and motion of the mouth area are often severe, since they do not match well with the speech *** overcome the aforementioned limitations, we present the first method for visual speech-informed perceptual reconstruction of 3D mouth expressions. We do this by proposing a "lipreading" loss, which guides the fitting process so that the elicited perception from the 3D reconstructed talking head resembles that of the original video footage. We demonstrate that, interestingly, the lipreading loss is better suited for 3D reconstruction of mouth movements compared to traditional landmark losses, and even direct 3D supervision. Furthermore, the devised method does not rely on any text transcriptions or corresponding audio, rendering it ideal for training in unlabeled datasets. We verify the efficiency of our method through objective evaluations on three large-scale datasets, as well as subjective evaluation with two web-based user studies. Project webpage: https://***/spectre/

关键词：

来源：评论

学校读者我要写书评

暂无评论

建议与咨询留下您的常用邮箱和电话号码，以便我们向您反馈解决方案和替代方法

时间限定

文献类型

馆藏选择

核心期刊

语言

文献类型

帮助

文字说明：

检索规则说明：

检索范例：

分类表

所选分类

限定检索结果

文献类型

馆藏范围

日期分布

学科分类号

主题

机构

作者

语言

请选择保存的检索档案：

请选择收藏分类：

通借通还

建议与咨询 留下您的常用邮箱和电话号码，以便我们向您反馈解决方案和替代方法

时间限定

文献类型

馆藏选择

核心期刊

语言

文献类型

帮助

文字说明：

检索规则说明：

检索范例：

分类表

所选分类

限定检索结果

文献类型

馆藏范围

日期分布

学科分类号

主题

机构

作者

语言

请选择保存的检索档案： 新增检索档案 确定 取消

请选择收藏分类： 新增自定义分类 确定 取消

通借通还

建议与咨询留下您的常用邮箱和电话号码，以便我们向您反馈解决方案和替代方法

请选择保存的检索档案：

请选择收藏分类：