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Titlebook: Computer Vision, Imaging and Computer Graphics Theory and Applications; 18th International J A. Augusto de Sousa,Thomas Bashford-Rogers,Kad

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Holger Siekmann,Dirk Uhlmann,Olaf Richter. 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 Absolut
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Edward K. Chung M.D., F.A.C.P., F.A.C.C.semantic segmentation. In such cases, it is desirable to train a model in a synthetic counterpart domain where annotated data is virtually unlimited. However, such models often suffer under the domain gap between training (synthetic) and deployment (real). Bridging the domains with image-to-image tr
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L. Gotloib,A. Shustack,J. Jaichenkoprocesses for detecting and classifying moving objects. First, all objects within the scene are detected, then, a separate algorithm is employed to determine the subset of objects that are in motion. Furthermore, diverse solutions employ complex networks that require a lot of computational resources
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L. Gotloib,A. Shustack,J. Jaichenkoggle with adapting knowledge from the real world to artistic images during training, leading to poor performance when dealing with different datasets. Our innovation lies in addressing these challenges through a two-step process. First, we generate more data using Style Transfer with Adaptive Instan
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Abhishek K. Gupta,Sudha Bhattacharyaibility of implicit calibration with specific types of interactions, such as mouse clicks or smooth pursuit eye movements, real-world applications often involve a combination of different interaction methods. To address this challenge, we have developed a method that integrates multiple types of int
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Amenable, Locally Compact Groups, to existing approaches, our proposed method facilitates the extrinsic and intrinsic projector calibration of a dual-camera (or single RGB-D camera) structured light system by projecting circles onto (non-)planar and potentially dynamically changing scenes across multiple distances. Our method recon
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