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20172025
most citedMulti-Glimpse LSTM with Color-Depth Feature Fusion for Human Detection

1 citations · 1 across the 2 of their papers we have counts for

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cs.CV2025

Learning to Generate Cross-Task Unexploitable Examples

Haoxuan Qu, Qiuchi Xiang, Yujun Cai +4

Unexploitable example generation aims to transform personal images into their unexploitable (unlearnable) versions before they are uploaded online, thereby preventing unauthorized…

cs.CV20251 cited

DLA-Count: Dynamic Label Assignment Network for Dense Cell Distribution Counting

Yuqing Yan, Yirui Wu

Cell counting remains a fundamental yet challenging task in medical and biological research due to the diverse morphology of cells, their dense distribution, and variations in imag…

cs.CV2025

EHNet: An Efficient Hybrid Network for Crowd Counting and Localization

Yuqing Yan, Yirui Wu

In recent years, crowd counting and localization have become crucial techniques in computer vision, with applications spanning various domains. The presence of multi-scale crowd di…

cs.CV2018

A New COLD Feature based Handwriting Analysis for Ethnicity/Nationality Identification

Sauradip Nag, Palaiahnakote Shivakumara, Wu Yirui +2

Identifying crime for forensic investigating teams when crimes involve people of different nationals is challenging. This paper proposes a new method for ethnicity (nationality) id…

cs.CV20171 cited

Multi-Glimpse LSTM with Color-Depth Feature Fusion for Human Detection

Hengduo Li, Jun Liu, Guyue Zhang +2

With the development of depth cameras such as Kinect and Intel Realsense, RGB-D based human detection receives continuous research attention due to its usage in a variety of applic…