IEEE

Deep Learning-Based Assessment Model for Real-Time Identification of Visual Learners Using Raw EEG

Abstract: Automatic identification of visual learning style in real time using raw electroencephalogram (EEG) is challenging. In this work, inspired by the powerful abilities of deep learning ...
GitHub

R1-Track: Direct Application of MLLMs to Visual Object Tracking via Reinforcement Learning

Visual (Single) Object Tracking aims to continuously localize and estimate the scale of a target in subsequent video frames, given only its initial state in the first frame. This task can be ...
IEEE

A Dual-Attention Learning Network With Word and Sentence Embedding for Medical Visual Question Answering

Abstract: Research in medical visual question answering (MVQA) can contribute to the development of computer-aided diagnosis. MVQA is a task that aims to predict accurate and convincing answers based ...
Kenji Explains on MSN

Learn 80% of data analysis in Excel in just 12 minutes

Learn Data Analysis Essentials in Excel in just 12 minutes! This tutorial uses a real-world dataset on the Olympics to cover the 4 core steps of data analysis in Excel: 1. **Clean** - Create a backup ...
MUO on MSN

I picked up basic VBA scripting and Excel suddenly got much better

The best part about using VBA in Excel is that you don't have to write a single line of code if you don't want to. Once you've got a couple of basic macros recorded, you can use them as templates and ...
GitHub

MAC-VO: Metrics-aware Covariance for Learning-based Stereo Visual Odometry

We plan to release TensorRT accelerated implementation and adapting more matching networks for MAC-VO. If you are interested, please star ⭐ this repo to stay tuned. [Nov 2025] We release the ...