Abstract: This paper proposes a unified visual person re-identification (re-id) framework capable of handling various re-id tasks, including modal-fusion re-id, cross-modal re-id, and single-modal ...

A new computational model of the brain based closely on its biology and physiology has not only learned a simple visual ...

Background Although chest X-rays (CXRs) are widely used, diagnosing mitral stenosis (MS) based solely on CXR findings remains ...

Bipolar Disorder, Digital Phenotyping, Multimodal Learning, Face/Voice/Phone, Mood Classification, Relapse Prediction, T-SNE, Ablation Share and Cite: de Filippis, R. and Al Foysal, A. (2025) ...

This paper tackles the domain of multimodal prompting for visual recognition, specifically when dealing with missing modalities through multimodal Transformers. It presents two main contributions: (i) ...

Institutions should be thinking about how all kinds of learners fit into their learning environments and avoid viewing online and in-person courses as distinct environments, according to Stephanie ...

As students navigate the diverse landscape of post-secondary education, a question arises: how can they best position themselves for success? The answer often begins with understanding their own ...

Abstract: This paper introduces AVCaps, an audio-visual dataset that contains separate textual captions for the audio, visual, and audio-visual contents of video clips. The dataset contains 2061 video ...

ABSTRACT: As morphemes are the smallest phonetic and semantic word formation units in Chinese, the study of morphemes has always been an important part of Chinese language acquisition research. Taking ...

1 Department of Otolaryngology Head and Neck Surgery, Hunan Provincial People's Hospital (First Affiliated Hospital of Hunan Normal University), Changsha, China 2 State Key Laboratory of Cognitive ...