For example, if predicting cold ≺ warm ≺ hot ... which are still insufficiently explored in the literature. We analyze the set of unimodal distributions in the probability simplex, establishing ...

This repository contains the code for UniVA, a framework that proposes unimodal valence-arousal driven contrastive learning for the multimodal multi-label emotion recognition task. Please consider ...

OpenAI released an advanced image generator for GPT‑4o this week. The San Francisco-based research lab announced that this ...

Leveraging the power of AI and machine learning technologies, researchers at Weill Cornell Medicine developed a more ...

Unlike traditional unimodal AI, multimodal systems simulate ... use of data fusion strategies to enhance model efficiency. For example, the late fusion approach has been shown to significantly ...

However, the lack of texture and the sparsity of incomplete point clouds make it difficult for unimodal trackers to distinguish objects with similar structures. To overcome the limitations of previous ...

The data demonstrates a trend toward centralization, though the effect is not pronounced. The kernel density curve consistently maintains a unimodal shape, and throughout the study period, no ...

To visualize the QPP, this study used the Brainnetomme atlas, and therefore produced 246 individual QPPs for each ROI—for sake of clarity, only 6 sample ROIs are shown in the above figure ... seeing a ...

NASA’s Mars Sample Return (MSR) mission promises to fill significant gaps in our understanding of the universe and propel humanity forward in a new phase of the space race. Exploring the cosmos ...

We developed “YOLO Phantom” for detection in low-light conditions and occluded scenarios within resource-constrained IoT applications. We proposed the novel "Phantom Convolution," which enables YOLO ...