7 citations · 7 across the 5 of their papers we have counts for
5 papers
A Multi-Modal Deep Learning Framework for Pan-Cancer Prognosis
Binyu Zhang, Shichao Li, Junpeng Jian +3
Prognostic task is of great importance as it closely related to the survival analysis of patients, the optimization of treatment plans and the allocation of resources. The existing…
ICFNet: Integrated Cross-modal Fusion Network for Survival Prediction
Binyu Zhang, Zhu Meng, Junhao Dong +2
Survival prediction is a crucial task in the medical field and is essential for optimizing treatment options and resource allocation. However, current methods often rely on limited…
OMG: Observe Multiple Granularities for Natural Language-Based Vehicle Retrieval
Yunhao Du, Binyu Zhang, Xiangning Ruan +3
Retrieving tracked-vehicles by natural language descriptions plays a critical role in smart city construction. It aims to find the best match for the given texts from a set of trac…
PAMI-AD: An Activity Detector Exploiting Part-attention and Motion Information in Surveillance Videos
Yunhao Du, Zhihang Tong, Junfeng Wan +2
Activity detection in surveillance videos is a challenging task caused by small objects, complex activity categories, its untrimmed nature, etc. Existing methods are generally limi…
GIAOTracker: A comprehensive framework for MCMOT with global information and optimizing strategies in VisDrone 2021
Yunhao Du, Junfeng Wan, Yanyun Zhao +3
In recent years, algorithms for multiple object tracking tasks have benefited from great progresses in deep models and video quality. However, in challenging scenarios like drone v…