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20172022
most citedLasHeR: A Large-scale High-diversity Benchmark for RGBT Tracking

300 citations · 927 across the 29 of their papers we have counts for

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Showing 2021Show all

5 papers · 1 filter

cs.MM2021

On the Robustness of "Robust reversible data hiding scheme based on two-layer embedding strategy"

Wen Yin, Longfei Ke, Zhaoxia Yin +2

In the paper "Robust reversible data hiding scheme based on two-layer embedding strategy" published in INS recently, Kumar et al. proposed a robust reversible data hiding (RRDH) sc…

cs.CV2021

Tracking by Joint Local and Global Search: A Target-aware Attention based Approach

Xiao Wang, Jin Tang, Bin Luo +3

Tracking-by-detection is a very popular framework for single object tracking which attempts to search the target object within a local search window for each frame. Although such l…

cs.CV2021★ 300 cited

LasHeR: A Large-scale High-diversity Benchmark for RGBT Tracking

Chenglong Li, Wanlin Xue, Yaqing Jia +4

RGBT tracking receives a surge of interest in the computer vision community, but this research field lacks a large-scale and high-diversity benchmark dataset, which is essential fo…

cs.CV2021

Dynamic Attention guided Multi-Trajectory Analysis for Single Object Tracking

Xiao Wang, Zhe Chen, Jin Tang +4

Most of the existing single object trackers track the target in a unitary local search window, making them particularly vulnerable to challenging factors such as heavy occlusions a…

cs.CV2021★ 2 cited

PICA: A Pixel Correlation-based Attentional Black-box Adversarial Attack

Jie Wang, Zhaoxia Yin, Jin Tang +2

The studies on black-box adversarial attacks have become increasingly prevalent due to the intractable acquisition of the structural knowledge of deep neural networks (DNNs). Howev…