output
20062026
most citedClassification of EEG-Based Brain Connectivity Networks in Schizophrenia Using a Multi-Domain Connectome Convolutional Neural Network

189 citations

Showing cs.CVShow all

11 papers · 1 filter

cs.CV2026★ 10 cited

Systematic Literature Review of Machine Learning Models and Applications for Text Recognition

Nuzhat Khan, Ab Al-Hadi Ab Rahman, Shahriyar Masud Rizvi +5

Optical Character Recognition (OCR) for text recognition using machine vision has significantly improved, particularly when handling heterogeneous textual data. Traditional OCR mod…

cs.CV2025★ 6 cited

Towards Adaptive Meta-Gradient Adversarial Examples for Visual Tracking

Wei-Long Tian, Peng Gao, Xiao Liu +4

In recent years, visual tracking methods based on convolutional neural networks and Transformers have achieved remarkable performance and have been successfully applied in fields s…

cs.CV2024★ 21 cited

In Defense and Revival of Bayesian Filtering for Thermal Infrared Object Tracking

Peng Gao, Shi-Min Li, Feng Gao +3

Deep learning-based methods monopolize the latest research in the field of thermal infrared (TIR) object tracking. However, relying solely on deep learning models to obtain better…

cs.CV2019★ 2 cited

HalalNet: A Deep Neural Network that Classifies the Halalness Slaughtered Chicken from their Images

A. Elfakharany, R. Yusof, N. Ismail +2

Halal requirement in food is important for millions of Muslims worldwide especially for meat and chicken products, insuring that slaughter houses adhere to this requirement is a ch…

cs.CV2018

Cursive Scene Text Analysis by Deep Convolutional Linear Pyramids

Saad Bin Ahmed, Saeeda Naz, Muhammad Imran Razzak +1

The camera captured images have various aspects to investigate. Generally, the emphasis of research depends on the interesting regions. Sometimes the focus could be on color segmen…

cs.CV2017★ 4 cited

Unsupervised Segmentation of Action Segments in Egocentric Videos using Gaze

I. Hipiny, H. Ujir, J. L. Minoi +3

Unsupervised segmentation of action segments in egocentric videos is a desirable feature in tasks such as activity recognition and content-based video retrieval. Reducing the searc…