IEEE

Cross-Modal Dynamic Transfer Learning for Multimodal Emotion Recognition

Abstract: Multimodal Emotion Recognition is an important research area for developing human-centric applications, especially in the context of video platforms. Most existing models have attempted to ...
IEEE

SCDM: Unified Representation Learning for EEG-to-fNIRS Cross-Modal Generation in MI-BCIs

Abstract: Hybrid motor imagery brain-computer interfaces (MI-BCIs), which integrate both electroencephalography (EEG) and functional near-infrared spectroscopy (fNIRS) signals, outperform those based ...
GitHub

A list of funny and tricky JavaScript examples

JavaScript is a great language. It has a simple syntax, large ecosystem and, what is most important, a great community. At the same time, we all know that JavaScript is quite a funny language with ...

Critical Chrome Security Flaws Threaten Billions of Users Worldwide

Google patches two actively exploited Chrome vulnerabilities that could allow attackers to crash browsers or run malicious ...

TIOBE Index for March 2026: SQL and R Swap Spots as Jansen Defends Search-Based Rankings

March 2026 TIOBE Index stays largely steady, with SQL and R swapping spots, as Paul Jansen explains why the index still ...
GitHub

Deciphering Cross-Modal Alignment in Large Vision-Language Models with Modality Integration Rate (ICCV 2025)

If you just want to use MIR as the pre-training indicator of your own model, no additional environment is required. python mir.py --model_path PATH/TO/MODEL --base_llm PATH/TO/LLM --text_data_path ...