300 citations · 927 across the 29 of their papers we have counts for
29 papers
Beyond Greedy Search: Tracking by Multi-Agent Reinforcement Learning-based Beam Search
Xiao Wang, Zhe Chen, Bo Jiang +3
To track the target in a video, current visual trackers usually adopt greedy search for target object localization in each frame, that is, the candidate region with the maximum res…
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…
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…
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…
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…
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…