GitHub

Rethinking Multi-modal Object Detection from the Perspective of Mono-Modality Feature Learning

This repository is the official Pytorch implementation for the paper Rethinking Multi-modal Object Detection from the Perspective of Mono-Modality Feature Learning. If you have any questions, please ...
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Study finds AI matches humans in boosting online learning

A Hong Kong University of Science and Technology study found that brief pre-lecture conversations with either human or AI instructors significantly improved students’ brain synchrony and learning ...
IEEE

Extended Cross-Modality United Learning for Unsupervised Visible-Infrared Person Re-Identification

Abstract: Unsupervised learning visible-infrared person re-identification (USL-VI-ReID) aims to learn modality-invariant features from unlabeled cross-modality data. However, existing approaches lack ...
IEEE

Bridging MRI Cross-Modality Synthesis and Multi-Contrast Super-Resolution by Fine-Grained Difference Learning

Abstract: In multi-modal magnetic resonance imaging (MRI), the tasks of imputing or reconstructing the target modality share a common obstacle: the accurate modeling of fine-grained inter-modal ...