50 citations · 52 across the 2 of their papers we have counts for
4 papers
End-to-end Learning of Object Motion Estimation from Retinal Events for Event-based Object Tracking
Haosheng Chen, David Suter, Qiangqiang Wu +1
Event cameras, which are asynchronous bio-inspired vision sensors, have shown great potential in computer vision and artificial intelligence. However, the application of event came…
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,…
Hallucinated Adversarial Learning for Robust Visual Tracking
Qiangqiang Wu, Zhihui Chen, Lin Cheng +3
Humans can easily learn new concepts from just a single exemplar, mainly due to their remarkable ability to imagine or hallucinate what the unseen exemplar may look like in differe…
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…