Titlebook: Computer Analysis of Images and Patterns; 19th International C Nicolas Tsapatsoulis,Andreas Panayides,Mario Vento Conference proceedings 20

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廣大

Pyramidal Layered Scene Inference with Image Outpainting for Monocular View Synthesis an interesting and active area of research due to its several applications such as entertainment. In this work, we propose an end-to-end architecture for monocular view synthesis based on the layered scene inference (LSI) method. The LSI uses layered depth images that can represent complex scenes w

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Out of the Box: Embodied Navigation in the Real Worldthe availability of 3D data of indoor and photorealistic environments. These two factors have opened the doors to a new generation of intelligent agents capable of achieving nearly perfect PointGoal Navigation. However, such architectures are commonly trained with millions, if not billions, of frame

火車(chē)車(chē)輪

Toward a Novel LSB-based Collusion-Secure Fingerprinting Schema for 3D Video traitor tracing as an appropriate solution. This approach consists in retrieving back the actors who contributed to the construction of an illegal release of a multimedia product. It includes two major steps which are the fingerprinting step and the tracing one. The fingerprinting step relies on th

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Bilingual Speech Recognition by Estimating Speaker Geometry from Video Dataess this problem, we present a bilingual speech recognition system that uses an interactive video analysis system to estimate the 3D speaker geometry for realistic audio simulations. We demonstrate the use of our system in generating a complex audio dataset that contains significant cross-talk and b

Arctic

Cost-Efficient Color Correction Approach on Uncontrolled Lighting Conditionstance results in more dangerous infections and a more difficult treatment. To monitor the antibiotic pollution of environmental waters, different detection methods have been developed, however these are normally complex, costly and time-consuming. In a previous work, we developed a method based on d

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HPA-Net: Hierarchical and Parallel Aggregation Network for Context Learning in Stereo Matchingreo networks generally construct single-scale cost volume to regularize and regress the disparity. However, these methods do not take advantage of multi-scale context information, leading to the limited performance of disparity prediction in ill-posed regions. In this paper, we propose a novel stere

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H-OCS: A Hybrid Optic Cup Segmentation of Retinal Imagescialists making this diagnosis rely on several tests and examinations such as visual field tests and examinations of retinal images and optical coherence tomography images. One of the regions examined by specialists when checking for retinal conditions is the optic nerve head region, which is the br

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Retinal Vessel Segmentation Using Blending-Based Conditional Generative Adversarial Networksegmentation and faster diagnosis in retinal blood vessel segmentation can be beneficial for the early detection of acute diseases such as diabetic retinopathy and glaucoma. Recent advancements in deep learning have led to some exciting improvements in the field of medical image segmentation. However