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Chapter
Correction to: Boosting Facial Action Unit Detection with CGAN-Based Data Augmentation
Correction to: Chapter “Boosting Facial Action Unit Detection with CGAN-Based Data Augmentation” in: T. Allahviranloo et al. (eds.), Decision Making in Healthcare Systems, Studies in Systems,
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Chapter
Boosting Facial Action Unit Detection with CGAN-Based Data Augmentation
Contraction of the facial muscle movements is the key aspect of facial expression recognition tasks. The Facial Action Coding System (FACS) is the most widely used and accepted standard that provides a descrip...
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Article
A robust vehicle tracking in low-altitude UAV videos
In this study, we concentrate on solving variations in scale, aspect ratio, rotation, visual model and target motion problems for vehicle tracking in low-altitude UAV videos. The contributions of this work are...
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Article
Stacking multiple cues for facial action unit detection
In this study, we develop a deep learning-based stacking scheme to detect facial action units (AU) in video data. Given a sequence of video frames, it combines multiple cues extracted from the AU detectors emp...
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Article
Stereoscopic video quality measurement with fine-tuning 3D ResNets
Recently, Convolutional Neural Networks with 3D kernels (3D CNNs) have shown great superiority over 2D CNNs for video processing applications. In the field of Stereoscopic Video Quality Assessment (SVQA), 3D C...
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Chapter and Conference Paper
Hierarchical Image Representation Using Deep Network
In this paper, we propose a new method for features learning from unlabeled data. Basically, we simulate k-means algorithm in deep network architecture to achieve hierarchical Bag-of-Words (BoW) representation...
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Chapter and Conference Paper
Cyclic Sequence Comparison Using Dynamic War**
In this study, we propose a new dynamic war** algorithm for cyclic sequence comparison, which approximate the optimal solution efficiently. The comparison of two sequences, whose starting points are known, i...
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Chapter and Conference Paper
Shape Similarity Measurement for Boundary Based Features
In this study, we propose two algorithms for measuring the distance between shape boundaries. In the algorithms, shape boundary is represented by the Beam Angle Statistics (BAS), which maps 2-D shape informati...
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Chapter and Conference Paper
A Compact Shape Descriptor Based on the Beam Angle Statistics
In this study, we propose a compact shape descriptor, which represents the 2-D shape information by 1-D functions. For this purpose a two-step method is proposed. In the first step, the 2-D shape information i...
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Chapter and Conference Paper
Optical character recognition without segmentation
In this study, an off-line optical character recognition scheme is presented. The proposed method performs the recognition by extracting the characters from the whole word, thus, avoiding segmentation process ...
