91 citations · 153 across the 10 of their papers we have counts for
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Drift-Resilient Temporal Priors for Visual Tracking
Yuqing Huang, Liting Lin, Weijun Zhuang +2
Temporal information is crucial for visual tracking, but existing multi-frame trackers are vulnerable to model drift caused by naively aggregating noisy historical predictions. In…
ZeroBP: Learning Position-Aware Correspondence for Zero-shot 6D Pose Estimation in Bin-Picking
Jianqiu Chen, Zikun Zhou, Xin Li +3
Bin-picking is a practical and challenging robotic manipulation task, where accurate 6D pose estimation plays a pivotal role. The workpieces in bin-picking are typically textureles…
How Image Generation Helps Visible-to-Infrared Person Re-Identification?
Honghu Pan, Yongyong Chen, Yunqi He +2
Compared to visible-to-visible (V2V) person re-identification (ReID), the visible-to-infrared (V2I) person ReID task is more challenging due to the lack of sufficient training samp…
Context-aware Visual Tracking with Joint Meta-updating
Qiuhong Shen, Xin Li, Fanyang Meng +1
Visual object tracking acts as a pivotal component in various emerging video applications. Despite the numerous developments in visual tracking, existing deep trackers are still li…
Saliency-Associated Object Tracking
Zikun Zhou, Wenjie Pei, Xin Li +3
Most existing trackers based on deep learning perform tracking in a holistic strategy, which aims to learn deep representations of the whole target for localizing the target. It is…
SiamCorners: Siamese Corner Networks for Visual Tracking
Kai Yang, Zhenyu He, Wenjie Pei +4
The current Siamese network based on region proposal network (RPN) has attracted great attention in visual tracking due to its excellent accuracy and high efficiency. However, the…