Memristor‐Based Neuromorphic Chips

X Duan, Z Cao, K Gao, W Yan, S Sun… - Advanced …, 2024 - Wiley Online Library
In the era of information, characterized by an exponential growth in data volume and an
escalating level of data abstraction, there has been a substantial focus on brain‐like chips …

Underwater image quality assessment: Benchmark database and objective method

Y Liu, B Zhang, R Hu, K Gu, G Zhai… - IEEE Transactions on …, 2024 - ieeexplore.ieee.org
Underwater image quality assessment (UIQA) plays a crucial role in monitoring and
detecting the quality of acquired underwater images in underwater imaging systems …

SnapCap: Efficient Snapshot Compressive Video Captioning

J Sun, Y Su, H Zhang, Z Cheng, Z Zeng, Z Wang… - arXiv preprint arXiv …, 2024 - arxiv.org
Video Captioning (VC) is a challenging multi-modal task since it requires describing the
scene in language by understanding various and complex videos. For machines, the …

[PDF][PDF] Super-resolution human-silhouette imaging by joint optimization of coded illumination and reconstruction network

S Sakoda, T Nakamura, Y Makihara, Y Yagi - 2024 - preprints.opticaopen.org
Human-image analysis is an important task for visual systems ranging from behavior
recognition to criminal investigations. Such analysis, eg, gait recognition, typically needs …

[PDF][PDF] A METHOD OF RECOGNIZING HUMAN WALK MOTION FROM MULTIPLE DIRECTIONS

M Ooba, Y Tanjo - ijicic.org
It is an important issue for elderly people to maintain their walking ability in order to prevent
falls and lead a healthy daily life. It may be of great help to develop a computer vision system …

[PDF][PDF] Deep Sensing: Jointly optimize imaging and processing

H Nagahara - 映像情報メディア学会技術報告= ITE technical report, 2022 - imagesensors.org
Deep neural network (DNN) is a powerful tool for solving image processing and computer
vision tasks such as image and video reconstructions, object recognition, and scene …