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Reducing blind spots in esophagogastroduodenoscopy examinations using a novel deep learning model
The intricate architecture of gastric anatomy coupled with the complexities inherent in esophagogastroduodenoscopy (EGD) procedures can lead to blind...
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HCI driving alienation: autonomy and involvement as blind spots in digital ethics
The ongoing development and adoption of digital technologies such as AI in business brings ethical concerns and challenges. Main topics are the...
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Eliminating orthonormal constraints of SVD to guarantee full retrievability of blind watermarking
Blind watermarking schemes based on Singular Value Decomposition (SVD), which decomposes a matrix into a product of two orthogonal matrices and a...
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Common Smart Stick for Blind and Elderly People to Detect Environmental Factors and Free Navigation
The ageing population effect is becoming predominant as the world population grows. Ageing leads to problems such as visual impairment, hearing...
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Practical Blind Image Denoising via Swin-Conv-UNet and Data Synthesis
While recent years have witnessed a dramatic upsurge of exploiting deep neural networks toward solving image denoising, existing methods mostly rely...
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Evaluation of Haptic Feedback Cues on Steering Wheel Based on Blind Spot Obstacle Avoidance
Many driving collisions are caused by the existence of blind spot, and traditional warning systems using visual and audio channel produce very little...
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BliMSR: Blind Degradation Modelling for Generating High-Resolution Medical Images
A persisting problem with existing super-resolution (SR) models is that they cannot produce minute details of anatomical structures, pathologies, and...
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Fast Two-Step Blind Optical Aberration Correction
The optics of any camera degrades the sharpness of photographs, which is a key visual quality criterion. This degradation is characterized by the...
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BlindNet backdoor: Attack on deep neural network using blind watermark
Deep neural network (DNNs) provide excellent performance in image recognition, speech recognition, video recognition, and pattern analysis. However,...
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Blind search and flexible product visions: the sociotechnical sha** of generative music engines
Amidst the surge in AI-oriented commercial ventures, music is a site of intensive efforts to innovate. A number of companies are seeking to apply AI...
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A novel early warning strategy for right-turning blind zone based on vulnerable road users detection
Blind zone detection of vehicles, as an essential function of Advanced Driver Assistance System, can effectively reduce the occurrence of traffic...
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Personalized Education: Blind Knowledge Distillation
Knowledge distillation compresses a large model (teacher) to a smaller one by letting the student imitate the outputs of the teacher. An interesting...
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BlindSpotNet: Seeing Where We Cannot See
We introduce 2D blind spot estimation as a critical visual task for road scene understanding. By automatically detecting road regions that are...
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A parallel SP-DBSCAN algorithm on spark for waiting spot recommendation
It is challenging for complex urban transportation networks to recommend taxi waiting spots for mobile passengers because the traditional centralized...
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Blind spots in AI ethics
This paper critically discusses blind spots in AI ethics. AI ethics discourses typically stick to a certain set of topics concerning principles...
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Self-supervised Single-Image Deconvolution with Siamese Neural Networks
Inverse problems in image reconstruction are fundamentally complicated by unknown noise properties. Classical iterative deconvolution approaches...
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Improving Blind Spot Denoising for Microscopy
Many microscopy applications are limited by the total amount of usable light and are consequently challenged by the resulting levels of noise in the...
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Vision-Based Blind Spot Warning System by Deep Neural Networks
Traffic accidents represent one of the most serious problems around the world. Many efforts have been concentrated on implementing Advanced Driver...
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One-Shot Wayfinding Method for Blind People via OCR and Arrow Analysis with a 360-Degree Smartphone Camera
We present a wayfinding method that assists blind people in determining the correct direction to a destination by taking a one-shot image. Signage is...
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N2V2 - Fixing Noise2Void Checkerboard Artifacts with Modified Sampling Strategies and a Tweaked Network Architecture
In recent years, neural network based image denoising approaches have revolutionized the analysis of biomedical microscopy data. Self-supervised...