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A comparative study of language Transformers for video question answering
With the goal of correctly answering questions about images or videos, visual question answering (VQA) has quickly developed in recent …
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Noisy-LSTM: Improving temporal awareness for video semantic segmentation
Semantic video segmentation is a key challenge for various applications. This paper presents a new model named Noisy-LSTM, which is …
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CFA Handling and Quality Analysis for Compressive Light Field Camera
A light field can carry rich visual information of a real 3-D scene, leading to many attractive applications. However, the acquisition …
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Generation and detection of media clones
With the spread of high-performance sensors and social network services (SNS) and the remarkable advances in machine learning …
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Preventing fake information generation against media clone attacks
Fake media has been spreading due to remarkable advances in media processing and machine leaning technologies, causing serious problems …
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Cross-lingual visual grounding
Visual grounding is a vision and language understanding task aiming at locating a region in an image according to a specific query …
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Diagnostic performance for pulmonary adenocarcinoma on CT: comparison of radiologists with and without three-dimensional convolutional neural network
Objectives To compare diagnostic performance for pulmonary invasive adenocarcinoma among radiologists with and without …
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Following Embryonic Stem Cells, Their Differentiated Progeny, and Cell-State Changes During iPS Reprogramming by Raman Spectroscopy
Monitoring cell-state transition in pluripotent cells is invaluable for application and basic research. In this study, we demonstrate …
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Improving topic modeling through homophily for legal documents
Topic modeling that can automatically assign topics to legal documents is very important in the domain of computational law. The …
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Improvement of nerve imaging speed with coherent anti-Stokes Raman scattering rigid endoscope using deep-learning noise reduction
A coherent anti-Stokes Raman scattering (CARS) rigid endoscope was developed to visualize peripheral nerves without labeling for …
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