Results 41 to 50 of about 254,373 (189)
Learning Deep Representation for Face Alignment with Auxiliary Attributes
, 2015 In this study, we show that landmark detection or face alignment task is not a single and independent problem. Instead, its robustness can be greatly improved with auxiliary information.
Loy, Chen Change +3 more
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MoFA: Model-based Deep Convolutional Face Autoencoder for Unsupervised Monocular Reconstruction [PDF]
, 2017 In this work we propose a novel model-based deep convolutional autoencoder that addresses the highly challenging problem of reconstructing a 3D human face from a single in-the-wild color image. To this end, we combine a convolutional encoder network with
Bernard, Florian +6 more
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A Novel Thermal-Visual Place Learning Paradigm for Honeybees (Apis mellifera)
Frontiers in Behavioral Neuroscience, 2020 Honeybees (Apis mellifera) have fascinating navigational skills and learning capabilities in the field. To decipher the mechanisms underlying place learning in honeybees, we need paradigms to study place learning of individual honeybees under controlled ...
Ricarda Scheiner +7 more
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Scientific Reports, 2023 Fully automated techniques using convolutional neural networks for cephalometric landmark detection have recently advanced. However, all existing studies have adopted X-rays. The problem of direct exposure of patients to X-ray radiation remains unsolved.
Kaisei Takahashi +4 more
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Deep 1D Landmark Representation Learning for Space Target Pose Estimation
Remote Sensing, 2022 Monocular vision-based pose estimation for known uncooperative space targets plays an increasingly important role in on-orbit operations. The existing state-of-the-art methods of space target pose estimation build the 2D-3D correspondences to recover the
Shengli Liu +3 more
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Facial Landmark Detection: a Literature Survey
, 2018 The locations of the fiducial facial landmark points around facial components and facial contour capture the rigid and non-rigid facial deformations due to head movements and facial expressions. They are hence important for various facial analysis tasks.
Ji, Qiang, Wu, Yue
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Learning to validate the quality of detected landmarks [PDF]
Twelfth International Conference on Machine Vision (ICMV 2019), 2020 Will be published in the proceedings of the ICMV 2019 ...
Fuhl, Wolfgang, Kasneci, Enkelejda
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BMC Medical Education, 2020 Background Considering the increasing popularity of electronic learning, particularly smartphone-based mobile learning, and its reportedly optimal efficacy for instruction of complicated topics, this study aimed to compare the efficacy of smartphone ...
Amin Golshah +3 more
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Facial Landmark Detection Using Machine Learning
International Journal For Multidisciplinary Research, 2023 Facial landmark detection is a pivotal task in the field of computer vision, holding significant implications across various applications, including facial analysis, augmented reality, facial recognition, and emotion detection. In visual communication, the face serves as a primary means of conveying information, and humans possess an innate ability to ...
Dr.R.VASAVI - +4 more
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AnimalsSpatial navigation allows animals to understand their environment position and is crucial to survival. An animal’s primary mode of spatial navigation (horizontal or vertical) is dependent on how they naturally move in space.
Lila Muscosky, Alexandra Horowitz
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