Bangjie Sun

Bangjie Sun

A passionate researcher in computer vision, and sensing systems. Currently pursuing my Ph.D. and working as a graduate tutor in National University of Singapore.

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A list of all the posts and pages found on the site. For you robots out there is an XML version available for digesting as well.

Pages

Posts

Enhanced Vision via Physical Interactions and Models

2 minute read

Published:

The way humans interact with the real world is an intrinsic function in human brains where we naturally obtain information from the visible changes arising from the interactions. For instance, we know that a bottle of transparent liquid is sparkling when we observe an excessive amount of bubbles generated by shaking the bottle. This is only the one of many examples where we sense the objects around us using physical interactions.

Experience on VR Detective Game Prototyping

1 minute read

Published:

As the emergence of virtual reality (VR), we observe an increasing trend in VR games, especially powered by commercial off-the-shelf VR headsets, such as HTC Vive. Apart from fast-pacing VR games like Fruit Ninja VR and FPS games like Robo Recall, we leverage the essence of VR - immersive and interactive experience - to design and develop a slow-pacing detective game, ByStanders.

portfolio

publications

EyeClouds: A Visualization and Analysis Tool for Exploring Eye Movement Data

Published in Proceedings of the 12th International Symposium on Visual Information Communication and Interaction, 2019

Michael Burch, Alberto Veneri, and Bangjie Sun. 2019. EyeClouds: A Visualization and Analysis Tool for Exploring Eye Movement Data. In Proceedings of the 12th International Symposium on Visual Information Communication and Interaction (VINCI’2019). Association for Computing Machinery, New York, NY, USA, Article 8, 1–8. [paper]

LAPD: Hidden Spy Camera Detection using Smartphone Time-of-Flight Sensors

Published in SenSys '21: Proceedings of the 19th ACM Conference on Embedded Networked Sensor Systems, 2021

Sriram Sami, Sean Rui Xiang Tan, Bangjie Sun, and Jun Han. 2021. LAPD: Hidden Spy Camera Detection using Smartphone Time-of-Flight Sensors. In Proceedings of the 19th ACM Conference on Embedded Networked Sensor Systems (SenSys ‘21). Association for Computing Machinery, New York, NY, USA, 288–301. Acceptance Rate: 17.9% (25 of 139). Most downloaded paper across all years of ACM SenSys. [paper] [repo]

Detecting Counterfeit Liquid Food Products in a Sealed Bottle Using a Smartphone Camera

Published in MobiSys '22: Proceedings of the 20th Annual International Conference on Mobile Systems, Applications and Services, 2022

Bangjie Sun, Sean Rui Xiang Tan, Zhiwei Ren, Mun Choon Chan and Jun Han. 2022. Detecting Counterfeit Liquid Food Products in a Sealed Bottle Using a Smartphone Camera. In The 20th Annual International Conference on Mobile Systems, Applications and Services (MobiSys ’22), June 25–July 1, 2022, Portland, OR, USA. ACM, New York, NY, USA, 14 pages. Acceptance Rate: 21.6% (38 of 176). Best Poster Award [paper] [project website]

Testing Masks and Air Filters With Your Smartphones

Published in SenSys '23: Proceedings of the 21st ACM Conference on Embedded Networked Sensor Systems, 2023

Bangjie Sun, Kanav Sabharwal, Gyuyeon Kim, Mun Choon Chan, and Jun Han. 2023. Testing Masks and Air Filters with Your Smartphones. In The 21st ACM Conference on Embedded Networked Sensor Systems (SenSys ’23), November 12–17, 2023, Istanbul, Turkiye. ACM, New York, NY, USA, 15 pages. Acceptance Rate: 18.9% (34 of 179). [paper] [slides]

PowDew: Detecting Counterfeit Powdered Food Products using a Commodity Smartphone

Published in MOBISYS '24: Proceedings of the 22nd Annual International Conference on Mobile Systems, Applications and Services, 2024

Jonghyuk Yun, Kyoosik Lee, Kichang Lee, Bangjie Sun, Jaeho Jeon, Jeonggil Ko, Inseok Hwang, and Jun Han. 2024. PowDew: Detecting Counterfeit Powdered Food Products using a Commodity Smartphone. In Proceedings of the 22nd Annual International Conference on Mobile Systems, Applications and Services (MOBISYS ‘24). Association for Computing Machinery, New York, NY, USA, 210–222. Acceptance Rate: 16.3% (43 of 263). Best Paper Award [paper]

talks

teaching