most citedEnd-to-end Learning of Object Motion Estimation from Retinal Events for Event-based Object Tracking

66 citations · 148 across the 5 of their papers we have counts for

collaborators

5 papers

cs.CV2024★ 1 cited

Beyond Euclidean: Dual-Space Representation Learning for Weakly Supervised Video Violence Detection

Jiaxu Leng, Zhanjie Wu, Mingpi Tan +4

While numerous Video Violence Detection (VVD) methods have focused on representation learning in Euclidean space, they struggle to learn sufficiently discriminative features, leadi…

cs.CV2020★ 2 cited

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…

cs.CV2020★ 29 cited

Dual Semantic Fusion Network for Video Object Detection

Lijian Lin, Haosheng Chen, Honglun Zhang +4

Video object detection is a tough task due to the deteriorated quality of video sequences captured under complex environments. Currently, this area is dominated by a series of feat…

cs.CV2020★ 66 cited

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…

cs.CV2020★ 50 cited

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,…