Grounded Situation Recognition (GSR) aims to generate structured semantic summaries of
images for" human-like''event understanding. Specifically, GSR task not only detects the …

Tremendous variation in the scale of people/head size is a critical problem for crowd
counting. To improve the scale invariance of feature representation, recent works …

In recent years, the growing demand for medical imaging diagnosis has placed a significant
burden on radiologists. As a solution, Medical Vision-Language Pre-training (Med-VLP) …

Real-time semantic segmentation is essential for many practical applications, which utilizes
attention-based feature aggregation into lightweight structures to improve accuracy and …

Video corpus moment retrieval has become a hot topic recently, which aims to localize a
consequent video moments highly relevant to the given query language description from …

Multi-view subspace clustering aims to cluster the data lying in a union of subspaces with
low dimensions. The commonly used spectral clustering performs the final clustering based …

Real-time perception, or streaming perception, is a crucial aspect of autonomous driving that
has yet to be thoroughly explored in existing research. To address this gap, we present …

Video transformer naturally incurs a heavier computation burden than a static vision
transformer, as the former processes T times longer sequence than the latter under the …

Vireo @ TRecViD 2017: Video-to-text, ad-hoc video search and video hyperlinking Page 1
Singapore Management University Institutional Knowledge at Singapore Management University …

Person clustering with multi-modal clues, including faces, bodies, and voices, is critical for
various tasks, such as movie parsing and identity-based movie editing. Related methods …