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20222026
most citedStrongSORT: Make DeepSORT Great Again

22 citations · 27 across the 22 of their papers we have counts for

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Showing 2025Show all

6 papers · 1 filter

cs.CV2025

Post-TIPS Prediction via Multimodal Interaction: A Multi-Center Dataset and Framework for Survival, Complication, and Portal Pressure Assessment

Junhao Dong, Dejia Liu, Ruiqi Ding +6

Transjugular intrahepatic portosystemic shunt (TIPS) is an established procedure for portal hypertension, but provides variable survival outcomes and frequent overt hepatic encepha…

cs.CV2025

Automatic Synthesis of High-Quality Triplet Data for Composed Image Retrieval

Haiwen Li, Delong Liu, Zhaohui Hou +2

As a challenging vision-language (VL) task, Composed Image Retrieval (CIR) aims to retrieve target images using multimodal (image+text) queries. Although many existing CIR methods…

cs.LG2025

OLMA: One Loss for More Accurate Time Series Forecasting

Tianyi Shi, Zhu Meng, Yue Chen +5

Time series forecasting faces two important but often overlooked challenges. Firstly, the inherent random noise in the time series labels sets a theoretical lower bound for the for…

cs.CV2025

Data-Efficient Generalization for Zero-shot Composed Image Retrieval

Zining Chen, Zhicheng Zhao, Fei Su +2

Zero-shot Composed Image Retrieval (ZS-CIR) aims to retrieve the target image based on a reference image and a text description without requiring in-distribution triplets for train…

cs.CV2025

Rethinking Two-Stage Referring-by-Tracking in Referring Multi-Object Tracking: Make it Strong Again

Weize Li, Yunhao Du, Qixiang Yin +2

Referring Multi-Object Tracking (RMOT) aims to track multiple objects specified by natural language expressions in videos. With the recent significant progress of one-stage methods…

eess.IV2025

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…