bao xin chen

Bao Xin Chen 陈宝新

Master's student York University, Toronto, Canada

baox[last name][at]cse[dot]yorku[dot]ca
baoxin[dot][last name][at]outlook[dot]com
Country of Citizenship: Canada



About Me:

Currently, I am a Master's student in Professor John K. Tsotsos' Lab at York University Electrical Engineering and Computer Science (EECS) department (2016 - 2019). Previously, I was an undergrad student in University of Toronto computer science department. My focus was on Machine Learning and Computer Vision (2012 - 2016). My current research interest is in Robot Vision (real-time computer vision and machine learning applications on mobile platforms) and I am open for project collaborations (no limited to object detection/segmentation, object tracking, image classification, robot control, navigation, autonomous vehicle related projects, etc).


CV TranscriptUofT TranscriptYorkU


Publications:
Elastic BSP Xing Zhao, Manos Papagelis, Aijun An, Bao Xin Chen, Junfeng Liu, and Yonggang Hu
"Elastic Bulk Synchronous Parallel for Distributed Deep Learning"
in 19th IEEE International Conference on Data Mining (ICDM), 2019.
Short Paper
TBA: [paper][cite]
Visual Object Tracking Bao Xin Chen and John K. Tsotsos
"Fast Visual Object Tracking with Rotated Bounding Boxes"
in IEEE International Conference on Computer Vision (ICCV) Workshops, 2019.
VOT2019
[arXiv] [cite] [code] TBA:[project page]
DSSP Xing Zhao, Aijun An, Junfeng Liu, and Bao Xin Chen
" Dynamic Stale Synchronous Parallel Distributed Training for Deep Learning"
in 39th International Conference on Distributed Computing Systems (ICDCS), IEEE, 2019, pp. 1508-1517.
Oral
[paper] [cite]
Words Bao Xin Chen, Raghavender Sahdev, Dekun Wu, Xing Zhao, Manos Papagelis, and John K. Tsotsos
" Scene Classification in Indoor Environments for Robots using Word Embeddings"
in International Conference on Robotics and Automation (ICRA) Workshops, 2018.
Poster at workshop Multimodal Robot Perception 2018
[project page] [videos] [paper] [arXiv] [cite]
Robot Raghavender Sahdev, Bao Xin Chen, and John K. Tsotsos
" Indoor Localization in Dynamic Human Environments using Visual Odometry and Global Pose Refinement"
in Computer and Robot Vision (CRV), 2018 15th Conference on, IEEE, 2018, pp. 360-367.
Poster
[project page] [paper] [cite]
Robot Bao Xin Chen*, Raghavender Sahdev*, and John K. Tsotsos
" Integrating Stereo Vision with a CNN Tracker for a Person-Following Robot"
in 11th International Conference on Computer Vision Systems (ICVS), Springer, 2017, pp. 300-313.
Oral (in highlighted section)
Received Best Paper Finalist award at ICVS 2017, Shenzhen, China
[project page] [videos] [paper] [cite]
Robot Bao Xin Chen*, Raghavender Sahdev*, and John K. Tsotsos
" Person Following Robot Using Selected Online Ada-Boosting with Stereo Camera"
in Computer and Robot Vision (CRV), 2017 14th Conference on, IEEE, 2017, pp. 48-55.
Oral
Received Best Robotics Paper award at AI-GI-CRV 2017, Edmonton, Canada
[project page] [paper] [cite]
* denote as equal contribution


Activities:

Aug 15th, 2019, one paper accepted at 19th IEEE International Conference on Data Mining (ICDM) 2019, Beijing, China.

Aug 12th, 2019, one paper accepted at ICCV 2019 workshop: VOT2019, Seoul, South Korea.

July 15th, 2019, published a new state-of-the-art object tracking algorithm for visual object tracking datasets that labeled with rotated bounding boxes (VOT2015-2019). And, the code is available on GitHub.

June 7th, 2018, I presented a poster at NCFRN AGM 2018 in Montreal, Quebec.

May 21th, 2018, my paper "Scene Classification in Indoor Environments for Robots using Word Embeddings" appeared at ICRA 2018 Workshop: Representing a Complex World in Brisbane, Australia.

May 10th, 2018, my paper "Indoor Localization in Dynamic Human Environments using Visual Odometry and Global Pose Refinement" appeared at the 15th Conference on Computer and Robot Vision (CRV 2018) in Toronto, Canada.

May 8th-11th, 2018, volunteered at AI-GI-CRV 2018 in Toronto, Canada.

May 3th, 2018, one paper accepted by ICRA 2018 Workshop: Representing a Complex World.

July 10th, 2017, orally presented my paper "Integrating Stereo Vision with a CNN Tracker for a Person-Following Robot" at the 11th International Conference on Computer Vision System (ICVS 2017), Shenzhen, China (Shenzhen is a city near my hometown Taishan).

June 13th, 2017, presented a poster at York University CVR & VISTA Internatinal Conference on Vision in the Real World, Toronto, Ontario.

May 19th, 2017, orally presented my paper "Person Following Robot Using Selected Online Ada-Boosting with Stereo Camera" at the 14th Conference on Computer and Robot Vision (CRV 2017), Edmonton, Alberta.

May 1st, 2017, presented two posters at NSERC Canadian Field Robotics Network (NCFRN), Ottawa, Ontario. Our work was covered by Discovery, the Globe and mail.



Awards:
Graduate:

Queen Elizabeth II Graduate Scholarships in Science & Technology (York University) - offered: CAD $15,000 (2019 - 2020, I rejected).

Queen Elizabeth II Graduate Scholarships in Science & Technology (York University) - Total value: CAD $15,000 (2018 Sep - 2019 Aug).

Best Paper Finalist award at ICVS 2017, Shenzhen, China

Best Robotics Paper award at AI-GI-CRV 2017, Edmonton, Canada

York University Masters Domestic Student Offer funding - Total value: CAD $41,666 (2016 Sep - 2018 Apr).

Lassonde Graduate Entrance Scholarship (York University) - Total value: CAD $8,000 (2016 Sep - 2017 Aug).

Undergraduate:

Graduated with High Distinction (University of Toronto) (2016).

Norma Brock Award (University of Toronto) - Total value: CAD $3,000 (2014 & 2015).

Dean's List (University of Toronto) (2013-2016).

High School:

Ontario Principal's Award (2012).