Search Results for author: Haosheng Chen

Found 5 papers, 0 papers with code

Event Data Association via Robust Model Fitting for Event-based Object Tracking

no code implementations25 Oct 2021 Haosheng Chen, Shuyuan Lin, David Suter, Yan Yan, Hanzi Wang

Event-based approaches, which are based on bio-inspired asynchronous event cameras, have achieved promising performance on various computer vision tasks.

Association Model Selection +1

Robust Visual Tracking via Statistical Positive Sample Generation and Gradient Aware Learning

no code implementations9 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.

Visual Tracking

Dual Semantic Fusion Network for Video Object Detection

no code implementations16 Sep 2020 Lijian Lin, Haosheng Chen, Honglun Zhang, Jun Liang, Yu Li, Ying Shan, Hanzi Wang

Video object detection is a tough task due to the deteriorated quality of video sequences captured under complex environments.

object-detection Optical Flow Estimation +1

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

no code implementations14 Feb 2020 Haosheng Chen, David Suter, Qiangqiang Wu, Hanzi Wang

We feed the sequence of TSLTD frames to a novel Retinal Motion Regression Network (RMRNet) to perform an end-to-end 5-DoF object motion regression.

Motion Estimation Object Tracking +1

Asynchronous Tracking-by-Detection on Adaptive Time Surfaces for Event-based Object Tracking

no code implementations13 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.

Object Tracking

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