50 citations · 77 across the 6 of their papers we have counts for
6 papers
MGCA-Net: Multi-Graph Contextual Attention Network for Two-View Correspondence Learning
Shuyuan Lin, Mengtin Lo, Haosheng Chen +2
Two-view correspondence learning is a key task in computer vision, which aims to establish reliable matching relationships for applications such as camera pose estimation and 3D re…
TSGB: Target-Selective Gradient Backprop for Probing CNN Visual Saliency
Lin Cheng, Pengfei Fang, Yanjie Liang +3
The explanation for deep neural networks has drawn extensive attention in the deep learning community over the past few years. In this work, we study the visual saliency, a.k.a. vi…
Robust Visual Tracking via Statistical Positive Sample Generation and Gradient Aware Learning
Lijian Lin, Haosheng Chen, Yanjie Liang +2
In recent years, Convolutional Neural Network (CNN) based trackers have achieved state-of-the-art performance on multiple benchmark datasets. Most of these trackers train a binary…
Correlation filter tracking with adaptive proposal selection for accurate scale estimation
Luo Xiong, Yanjie Liang, Yan Yan +1
Recently, some correlation filter based trackers with detection proposals have achieved state-of-the-art tracking results. However, a large number of redundant proposals given by t…
Asynchronous Tracking-by-Detection on Adaptive Time Surfaces for Event-based Object Tracking
Haosheng Chen, Qiangqiang Wu, Yanjie Liang +2
Event cameras, which are asynchronous bio-inspired vision sensors, have shown great potential in a variety of situations, such as fast motion and low illumination scenes. However,…
DSNet: Deep and Shallow Feature Learning for Efficient Visual Tracking
Qiangqiang Wu, Yan Yan, Yanjie Liang +2
In recent years, Discriminative Correlation Filter (DCF) based tracking methods have achieved great success in visual tracking. However, the multi-resolution convolutional feature…