Indirect Reciprocity (IR) is the main mechanism to promote cooperation. A multi-agent system is proposed in this paper to simulate IR with optional interactions so that more specific experiments could be carried out. ...
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The proceedings contain 36 papers. The topics discussed include: design and analysis of properties of the photonic crystal fibers with chalcogenide glass hollow core;design and calibration of a coherent wind measureme...
ISBN:
(纸本)9781510679832
The proceedings contain 36 papers. The topics discussed include: design and analysis of properties of the photonic crystal fibers with chalcogenide glass hollow core;design and calibration of a coherent wind measurement system with paraxial structure;malware feature selection and adversarial sample generation method based on reinforcement learning;design and construction of computer laboratory security monitoring system based on STM32 microcontroller;Sybil attacks detection for dynamic environment in federated learning;a fast hardware implementation method of interrupt handling based on armv8-m architecture;managing energy-efficient virtual machines with QoS-awareness in cloud computing;and multi-modal similarity fusion for user behavior sequence modeling.
In Unmanned Aerial Vehicle image detection, challenges arise from small target sizes, a wide variety of categories, and limited feature information. These factors lead to several issues with existing detection algorit...
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Metamaterial absorbers are an advancement in material science as they provide more advantages in comparison to conventional materials. Achieving miniaturization with a multilayered structure is the primary challenge h...
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This paper presents designing and making a multi-output DC power supply (MOPS) feeding from the PV modules. The MOPS is based on a push-pull converter topology that provides four output channels of 12-V 1-A each and w...
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One of the grand challenges in computer vision is to recover 3D poses and shapes of multiple human bodies with absolute scales from a single RGB image. The challenge stems from the inherent depth and scale ambiguity f...
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ISBN:
(纸本)9783031667428;9783031667435
One of the grand challenges in computer vision is to recover 3D poses and shapes of multiple human bodies with absolute scales from a single RGB image. The challenge stems from the inherent depth and scale ambiguity from a single view. The state of the art on 3D human pose and shape estimation mainly focuses on estimating the 3D joint locations relative to the root joint, defined as the pelvis joint. In this paper, a novel approach called Absolute-ROMP is proposed, which builds upon a one-stage multi-person 3D mesh predictor network, ROMP, to estimate multi-person 3D poses and shapes, but with absolute scales from a single RGB image. To achieve this, we introduce absolute root joint localization in the camera coordinate frame, which enables the estimation of 3D mesh coordinates of all persons in the image and their root joint locations normalized by the focal point. Moreover, a CNN and transformer hybrid network, called TransFocal, is proposed to predict the focal length of the image's camera. This enables Absolute-ROMP to obtain absolute depth information of all joints in the camera coordinate frame, further improving the accuracy of our proposed method. The Absolute-ROMP is evaluated on the root joint localization and root-relative 3D pose estimation tasks on publicly available multi-person 3D pose datasets, and TransFocal is evaluated on a dataset created from the Pano360 dataset. Our proposed approach achieves state-of-the-art results on these tasks, outperforming existing methods or has competitive performance. Due to its real-time performance, our method is applicable to in-the-wild images and videos.
As a new concept, the metaverse received widespread attention from the industry, academia, media and the public, and many new industries have also laid out in the field of metaverse. The energy industry is no exceptio...
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Withthe rapid advancement of Deepfake technology, Deepfake content is becoming increasingly realistic and is being widely utilized in political forgery, financial fraud, and the dissemination of false news. In order t...
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With the increasing number of processors in modern vehicles and the growing demand for inter-processor coordination, there is an urgent need for a high-performance, high-reliability one-to-many data transmission solut...
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Skin cancer is a highly prevalent form of cancer worldwide. The clinical assessment of skin lesions is crucial for evaluating the disease's characteristics. However, this assessment is often hindered by the variab...
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