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Bao Xin Chen

Researcher at York University

Publications -  19
Citations -  634

Bao Xin Chen is an academic researcher from York University. The author has contributed to research in topics: Computer science & Bulk synchronous parallel. The author has an hindex of 6, co-authored 13 publications receiving 346 citations.

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Proceedings ArticleDOI

The Seventh Visual Object Tracking VOT2019 Challenge Results

Matej Kristan, +179 more
TL;DR: The Visual Object Tracking challenge VOT2019 is the seventh annual tracker benchmarking activity organized by the VOT initiative; results of 81 trackers are presented; many are state-of-the-art trackers published at major computer vision conferences or in journals in the recent years.
Book ChapterDOI

Integrating Stereo Vision with a CNN Tracker for a Person-Following Robot

TL;DR: A stereo vision based CNN tracker for a person following robot able to track a person in real-time using an online convolutional neural network that enables the robot to follow a target under challenging situations.
Proceedings ArticleDOI

Person Following Robot Using Selected Online Ada-Boosting with Stereo Camera

TL;DR: A modified Online Ada-Boosting (OAB) tracking algorithm with integrated scene depth information obtained from a stereo camera which runs in real-time on a mobile robot.
Proceedings ArticleDOI

Dynamic Stale Synchronous Parallel Distributed Training for Deep Learning

TL;DR: In this article, a distributed paradigm on the parameter server framework called Dynamic Stale Synchronous Parallel (DSSP) is presented, which improves the state-of-the-art Stale Parallel (SSP) paradigm by dynamically determining the staleness threshold at the run time.
Posted Content

Fast Visual Object Tracking with Rotated Bounding Boxes

TL;DR: A novel algorithm that uses ellipse fitting to estimate the bounding box rotation angle and size with the segmentation(mask) on the target for online and real-time visual object tracking.