Pattern Recognition and Information Forensics
ICPR 2018 International Workshops, CVAUI, IWCF, and MIPPSNA, Bei**g, China, August 20-24, 2018, Revised Selected Papers
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Chapter and Conference Paper
Disentangling Object Motion and Occlusion for Unsupervised Multi-frame Monocular Depth
Conventional self-supervised monocular depth prediction methods are based on a static environment assumption, which leads to accuracy degradation in dynamic scenes due to the mismatch and occlusion problems in...
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Chapter and Conference Paper
Rethinking Pulmonary Nodule Detection in Multi-view 3D CT Point Cloud Representation
3D CT point clouds reconstructed from the original CT images are naturally represented in real-world coordinates. Compared with CT images, 3D CT point clouds contain invariant geometric features with irregular...
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Chapter and Conference Paper
Medical Image Tampering Detection: A New Dataset and Baseline
The recent advances in algorithmic photo-editing and the vulnerability of hospitals to cyberattacks raises the concern about the tampering of medical images. This paper introduces a new large scale dataset of ...
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Chapter and Conference Paper
DyeFreeNet: Deep Virtual Contrast CT Synthesis
To highlight structures such as blood vessels and tissues for clinical diagnosis, veins are often infused with contrast agents to obtain contrast-enhanced CT scans. In this paper, the use of a deep learning-ba...
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Chapter and Conference Paper
Deep Active Learning for Effective Pulmonary Nodule Detection
Expensive and time-consuming medical imaging annotation is one of the big challenges for the deep learning-based computer-aided diagnosis (CAD) on the low-dose computed tomography (CT). To address this problem...
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Chapter and Conference Paper
Burst Denoising via Temporally Shifted Wavelet Transforms
Mobile photography has made great strides in recent years. However, low light imaging remains a challenge. Long exposures can improve signal-to-noise ratio (SNR) but undesirable motion blur can occur when capt...
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Book and Conference Proceedings
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Chapter and Conference Paper
3DFPN-HS \(^2\) : 3D Feature Pyramid Network Based High Sensitivity and Specificity Pulmonary Nodule Detection
Accurate detection of pulmonary nodules with high sensitivity and specificity is essential for automatic lung cancer diagnosis from CT scans. Although many deep learning-based algorithms make great progress fo...
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Chapter and Conference Paper
Guided Text Spotting for Assistive Blind Navigation in Unfamiliar Indoor Environments
Scene text in indoor environments usually preserves and communicates important contextual information which can significantly enhance the independent travel of blind and visually impaired people. In this paper...
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Chapter and Conference Paper
Recognizing Text-Based Traffic Guide Panels with Cascaded Localization Network
In this paper, we introduce a new top-down framework for automatic localization and recognition of text-based traffic guide panels (http://tinyurl.com/wiki-guide-signs
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Chapter and Conference Paper
ISANA: Wearable Context-Aware Indoor Assistive Navigation with Obstacle Avoidance for the Blind
This paper presents a novel mobile wearable context-aware indoor maps and navigation system with obstacle avoidance for the blind. The system includes an indoor map editor and an App on Tango devices with mult...
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Chapter and Conference Paper
Automatic Video Captioning via Multi-channel Sequential Encoding
In this paper, we propose a novel two-stage video captioning framework composed of (1) a multi-channel video encoder and (2) a sentence-generating language decoder. Both of the encoder and decoder are based on...
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Chapter and Conference Paper
Hybrid Example-Based Single Image Super-Resolution
Image super-resolution aims to recover a visually pleasing high resolution image from one or multiple low resolution images. It plays an essential role in a variety of real-world applications. In this paper, w...
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Chapter
Assistive Text Reading from Natural Scene for Blind Persons
Text information serves as an understandable and comprehensive indicator, which plays a significant role in navigation and recognition in our daily lives. It is very difficult to access this valuable informati...
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Chapter
RGB-D Sensor-Based Computer Vision Assistive Technology for Visually Impaired Persons
A computer vision-based wayfinding and navigation aid can improve the mobility of blind and visually impaired people to travel independently. In this chapter, we focus on RGB-D sensor-based computer vision tec...
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Chapter and Conference Paper
Action Recognition Using Super Sparse Coding Vector with Spatio-temporal Awareness
This paper presents a novel framework for human action recognition based on sparse coding. We introduce an effective coding scheme to aggregate low-level descriptors into the super descriptor vector (SDV). In ...
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Article
Finding objects for assisting blind people
Computer vision technology has been widely used for blind assistance, such as navigation and way finding. However, few camera-based systems are developed for hel** blind or visually impaired people to find d...
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Article
Monitoring activity of taking medicine by incorporating RFID and video analysis
In this paper, we present a new framework to monitor medication intake for elderly individuals by incorporating a video camera and radio frequency identification (RFID) sensors. The proposed framework can prov...
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Article
Detecting signage and doors for blind navigation and wayfinding
Signage plays a very important role to find destinations in applications of navigation and wayfinding. In this paper, we propose a novel framework to detect doors and signage to help blind people accessing unf...
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Article
Toward a computer vision-based wayfinding aid for blind persons to access unfamiliar indoor environments
Independent travel is a well-known challenge for blind and visually impaired persons. In this paper, we propose a proof-of-concept computer vision-based wayfinding aid for blind people to independently access ...
