1 code implementation • 11 Oct 2021 • Lin Cheng, Pengfei Fang, Yanjie Liang, Liao Zhang, Chunhua Shen, Hanzi Wang
Inspired by those observations, we propose a novel visual saliency method, termed Target-Selective Gradient Backprop (TSGB), which leverages rectification operations to effectively emphasize target classes and further efficiently propagate the saliency to the image space, thereby generating target-selective and fine-grained saliency maps.
no code implementations • 9 Nov 2020 • Lijian Lin, Haosheng Chen, Yanjie Liang, Yan Yan, Hanzi Wang
In this paper, we propose a robust tracking method via Statistical Positive sample generation and Gradient Aware learning (SPGA) to address the above two limitations.
no code implementations • 14 Jul 2020 • Luo Xiong, Yanjie Liang, Yan Yan, Hanzi Wang
In this paper, we propose an adaptive proposal selection algorithm which can generate a small number of high-quality proposals to handle the problem of scale variations for visual object tracking.
no code implementations • 13 Feb 2020 • Haosheng Chen, Qiangqiang Wu, Yanjie Liang, Xinbo Gao, Hanzi Wang
To achieve this goal, we present an Adaptive Time-Surface with Linear Time Decay (ATSLTD) event-to-frame conversion algorithm, which asynchronously and effectively warps the spatio-temporal information of asynchronous retinal events to a sequence of ATSLTD frames with clear object contours.
no code implementations • 6 Nov 2018 • Qiangqiang Wu, Yan Yan, Yanjie Liang, Yi Liu, Hanzi Wang
In recent years, Discriminative Correlation Filter (DCF) based tracking methods have achieved great success in visual tracking.