Search Results - "Hee-Deok Yang"
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Sign language recognition with the Kinect sensor based on conditional random fields
Published in Sensors (Basel, Switzerland) (01-01-2015)“…Sign language is a visual language used by deaf people. One difficulty of sign language recognition is that sign instances of vary in both motion and shape in…”
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Journal Article -
2
Reward biases spontaneous neural reactivation during sleep
Published in Nature communications (06-07-2021)“…Sleep favors the reactivation and consolidation of newly acquired memories. Yet, how our brain selects the noteworthy information to be reprocessed during…”
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Journal Article -
3
Classification of Alzheimer's Progression Using fMRI Data
Published in Sensors (Basel, Switzerland) (01-07-2023)“…In the last three decades, the development of functional magnetic resonance imaging (fMRI) has significantly contributed to the understanding of the brain,…”
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4
Restoring Raindrops Using Attentive Generative Adversarial Networks
Published in Applied sciences (01-08-2021)“…Artificial intelligence technologies and vision systems are used in various devices, such as automotive navigation systems, object-tracking systems, and…”
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5
Line Drawing Extraction from Cartoons Using a Conditional Generative Adversarial Network
Published in Applied sciences (01-08-2021)“…Recently, three-dimensional (3D) content used in various fields has attracted attention owing to the development of virtual reality and augmented reality…”
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Gesture Spotting and Recognition for Human-Robot Interaction
Published in IEEE transactions on robotics (01-04-2007)“…Visual interpretation of gestures can be useful in accomplishing natural human-robot interaction (HRI). Previous HRI research focused on issues such as hand…”
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VBM-Based Alzheimer’s Disease Detection from the Region of Interest of T1 MRI with Supportive Gaussian Smoothing and a Bayesian Regularized Neural Network
Published in Applied sciences (01-07-2021)“…This paper presents an efficient computer-aided diagnosis (CAD) approach for the automatic detection of Alzheimer’s disease in patients’ T1 MRI scans using the…”
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Journal Article -
8
Correction: Goo, S.; Yang, H.-D. Restoring Raindrops Using Attentive Generative Adversarial Networks. Appl. Sci. 2021, 11, 7034
Published in Applied sciences (28-03-2024)“…Suhan Goo was not included as an author in the original publication [...]…”
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Journal Article -
9
Sign Language Spotting with a Threshold Model Based on Conditional Random Fields
Published in IEEE transactions on pattern analysis and machine intelligence (01-07-2009)“…Sign language spotting is the task of detecting and recognizing signs in a signed utterance, in a set vocabulary. The difficulty of sign language spotting is…”
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Robust sign language recognition by combining manual and non-manual features based on conditional random field and support vector machine
Published in Pattern recognition letters (01-12-2013)“…•Combine manual and non-manual signals to recognize sign language.•Apply a hierarchical CRF to discriminate between signs and fingerspelling.•Recognize a…”
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11
Expression of Arabidopsis glycine-rich RNA-binding protein AtGRP2 or AtGRP7 improves grain yield of rice (Oryza sativa) under drought stress conditions
Published in Plant science (Limerick) (01-01-2014)“…Although posttranscriptional regulation of RNA metabolism is increasingly recognized as a key regulatory process in plant response to environmental stresses,…”
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12
Reconstruction of 3D human body pose from stereo image sequences based on top-down learning
Published in Pattern recognition (01-11-2007)“…This paper presents a novel method for reconstructing a 3D human body pose from stereo image sequences based on a top-down learning method. However, it is…”
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13
Simultaneous spotting of signs and fingerspellings based on hierarchical conditional random fields and boostmap embeddings
Published in Pattern recognition (01-08-2010)“…A sign language consists of two types of action; signs and fingerspellings. Signs are dynamic gestures discriminated by continuous hand motions and hand…”
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14
Reconstructing 3D Human Body Pose from Stereo Image Sequences Using Hierarchical Human Body Model Learning
Published in 18th International Conference on Pattern Recognition (ICPR'06) (2006)“…This paper presents a novel method for reconstructing a 3D human body pose using depth information based on top-down learning. The human body pose is…”
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Conference Proceeding -
15
Human-Robot Interaction by Whole Body Gesture Spotting and Recognition
Published in 18th International Conference on Pattern Recognition (ICPR'06) (2006)“…An intelligent robot is required for natural interaction with humans. Visual interpretation of gestures can be useful in accomplishing natural human-robot…”
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Conference Proceeding -
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Correction: Goo, S.; Yang, H.-D. Restoring Raindrops Using Attentive Generative Adversarial Networks. IAppl. Sci./I 2021, I11/I, 7034
Published in Applied sciences (01-04-2024)Get full text
Journal Article -
17
Robust Sign Language Recognition with Hierarchical Conditional Random Fields
Published in 2010 20th International Conference on Pattern Recognition (01-08-2010)“…Sign language spotting is the task of detection and recognition of signs (words in the predefined vocabulary) and fingerspellings (a combination of continuous…”
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Conference Proceeding -
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Sign language spotting based on semi-Markov Conditional Random Field
Published in 2009 Workshop on Applications of Computer Vision (WACV) (01-12-2009)“…Sign language spotting is the task of detecting the start and end points of signs from continuous data and recognizing the detected signs in the predefined…”
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Conference Proceeding -
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Robust Spotting of Key Gestures from Whole Body Motion Sequence
Published in 7th International Conference on Automatic Face and Gesture Recognition (FGR06) (2006)“…Robust gesture recognition in video requires segmentation of the meaningful gestures from a whole body gesture sequence. This is a challenging problem because…”
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Conference Proceeding -
20
Multiple pedestrian detection and tracking based on weighted temporal texture features
Published in Proceedings of the 17th International Conference on Pattern Recognition, 2004. ICPR 2004 (2004)“…This work presents a novel method for detecting and tracking pedestrians from video images taken by a fixed camera. A pedestrian may be totally or partially…”
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Conference Proceeding