8 Result(s)
within
Chapter
Hai**g Guan
Image Processing and Computer Vision
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Chapter and Conference Paper
3D Hand Pose Reconstruction with ISOSOM
We present an appearance-based 3D hand posture estimation method that determines a ranked set of possible hand posture candidates from an unmarked hand image, based on an analysis by synthesis method and an im...
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Chapter and Conference Paper
A Novel System for Robust Text Location and Recognition of Book Covers
Text location and recognition is a vital and fundamental problem of processing images. In this paper we propose a novel system for text location and recognition focused on book covers. Our work consists of two...
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Chapter and Conference Paper
Text Localization and Recognition in Complex Scenes Using Local Features
We describe an approach using local features to resolve problems in text localization and recognition in complex scenes. Low image quality, complex background and variations of text make these problems challen...
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Chapter and Conference Paper
Dual Adversarial Network for Deep Active Learning
Active learning, reducing the cost and workload of annotations, attracts increasing attentions from the community. Current active learning approaches commonly adopted uncertainty-based acquisition functions fo...
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Chapter and Conference Paper
FTL: A Universal Framework for Training Low-Bit DNNs via Feature Transfer
Low-bit Deep Neural Networks (low-bit DNNs) have recently received significant attention for their high efficiency. However, low-bit DNNs are often difficult to optimize due to the saddle points in loss surfac...
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Chapter and Conference Paper
Pervasive Monitoring of Gastrointestinal Health of Newborn Babies
Babies needing intensive care are at risk of develo** gastrointestinal problems, such as feed intolerance and necrotizing enterocolitis (NEC). Monitoring, early detection, and prevention of bowel diseases in...
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Chapter and Conference Paper
Self-supervised Multi-object Tracking with Cycle-Consistency
Multi-object tracking is a challenging video task that requires both locating the objects in the frames and associating the objects among the frames, which usually utilizes the tracking-by-detection paradigm. ...
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Chapter and Conference Paper
Reinforcement Learning-Based Algorithm for Real-Time Automated Parking Decision Making
Recently, automated parking has gained attention for its ability to enhance parking accuracy and provide a comfortable experience for car owners. However, with the increasing number of vehicles in the parking ...
