Works matching IS 09328092 AND DT 2023 AND VI 34 AND IP 5
Results: 24
An automated framework to evaluate soft skills using posture and disfluency detection.
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- Machine Vision & Applications, 2023, v. 34, n. 5, p. 1, doi. 10.1007/s00138-023-01431-0
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- Article
Multi-distribution fitting for multi-view stereo.
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- Machine Vision & Applications, 2023, v. 34, n. 5, p. 1, doi. 10.1007/s00138-023-01449-4
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- Article
Highly transparent material classification using the refractive index, reflectivity, and transmissivity features from an imaging model of a time-of-flight camera.
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- Machine Vision & Applications, 2023, v. 34, n. 5, p. 1, doi. 10.1007/s00138-023-01443-w
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- Article
Representing dynamic textures based on polarized gradient features.
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- Machine Vision & Applications, 2023, v. 34, n. 5, p. 1, doi. 10.1007/s00138-023-01438-7
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- Article
Modeling driving task-relevant attention for intelligent vehicles using triplet ranking.
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- Machine Vision & Applications, 2023, v. 34, n. 5, p. 1, doi. 10.1007/s00138-023-01437-8
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- Article
Instance-dimension dual contrastive learning of visual representations.
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- Machine Vision & Applications, 2023, v. 34, n. 5, p. 1, doi. 10.1007/s00138-023-01440-z
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- Article
Editor’s Note: Special Issue from Winter Conference on Applications of Computer Vision - WACV 2023.
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- Machine Vision & Applications, 2023, v. 34, n. 5, p. 1, doi. 10.1007/s00138-023-01441-y
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- Article
A dual-path U-Net for pulmonary vessel segmentation method based on lightweight 3D attention.
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- Machine Vision & Applications, 2023, v. 34, n. 5, p. 1, doi. 10.1007/s00138-023-01442-x
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- Article
RGB-LiDAR fusion for accurate 2D and 3D object detection.
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- Machine Vision & Applications, 2023, v. 34, n. 5, p. 1, doi. 10.1007/s00138-023-01435-w
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- Article
AFC-Net: adjacent feature complementary for crowded pedestrian detection.
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- Machine Vision & Applications, 2023, v. 34, n. 5, p. 1, doi. 10.1007/s00138-023-01439-6
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- Article
Residual shuffle attention network for image super-resolution.
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- Machine Vision & Applications, 2023, v. 34, n. 5, p. 1, doi. 10.1007/s00138-023-01436-9
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- Article
FLAVR: flow-free architecture for fast video frame interpolation.
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- Machine Vision & Applications, 2023, v. 34, n. 5, p. 1, doi. 10.1007/s00138-023-01433-y
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- Article
Variable exponent diffusion for image detexturing.
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- Machine Vision & Applications, 2023, v. 34, n. 5, p. 1, doi. 10.1007/s00138-023-01432-z
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- Article
Unsupervised single-shot depth estimation using perceptual reconstruction.
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- Machine Vision & Applications, 2023, v. 34, n. 5, p. 1, doi. 10.1007/s00138-023-01410-5
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- Article
FFA-Net: fast feature aggregation network for 3D point cloud segmentation.
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- Machine Vision & Applications, 2023, v. 34, n. 5, p. 1, doi. 10.1007/s00138-023-01434-x
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- Article
Probabilistic multi-modal depth estimation based on camera–LiDAR sensor fusion.
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- Machine Vision & Applications, 2023, v. 34, n. 5, p. 1, doi. 10.1007/s00138-023-01426-x
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- Article
PerSnake: a real-time pedestrian instance segmentation network using contour representation.
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- Machine Vision & Applications, 2023, v. 34, n. 5, p. 1, doi. 10.1007/s00138-023-01419-w
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- Article
MFEMANet: an effective disaster image classification approach for practical risk assessment.
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- Machine Vision & Applications, 2023, v. 34, n. 5, p. 1, doi. 10.1007/s00138-023-01430-1
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- Article
A robust vehicle tracking in low-altitude UAV videos.
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- Machine Vision & Applications, 2023, v. 34, n. 5, p. 1, doi. 10.1007/s00138-023-01427-w
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- Article
Occlusion recovery face recognition based on information reconstruction.
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- Machine Vision & Applications, 2023, v. 34, n. 5, p. 1, doi. 10.1007/s00138-023-01423-0
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- Article
Traffic sign detection and recognition under low illumination.
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- Machine Vision & Applications, 2023, v. 34, n. 5, p. 1, doi. 10.1007/s00138-023-01417-y
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Pakistan sign language recognition: leveraging deep learning models with limited dataset.
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- Machine Vision & Applications, 2023, v. 34, n. 5, p. 1, doi. 10.1007/s00138-023-01429-8
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When dual contrastive learning meets disentangled features for unpaired image deraining.
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- Machine Vision & Applications, 2023, v. 34, n. 5, p. 1, doi. 10.1007/s00138-023-01421-2
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A high-level feature channel attention UNet network for cholangiocarcinoma segmentation from microscopy hyperspectral images.
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- Machine Vision & Applications, 2023, v. 34, n. 5, p. 1, doi. 10.1007/s00138-023-01418-x
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