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IPBC Asia 2016 @Shanghai, China

December 4-6, 2016 | Event

Panasonic R&D Center Singapore-IPG attended the IPBC Asia (held in Shanghai on December 4-6, 2016), which is one of the leading events in the IP industry. IPBC Asia attracted top IP executives of global companies to gather and take center stage to discuss issues about the global IP development with a focus on how IP owners can strategically utilize their IP assets, especially in Asia. Same as last year, this year too, Panasonic was honoured as one of the “Asia IP Elites” for successful drive in creating IP value through many IP monetization and licensing deals concluded in the past year. It is an award that heralds Panasonic’s success in leveraging the patents as a strategic business asset.

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Deep Learning Summit Asia @SG 2016

Members from Panasonic R&D Center Singapore and various Panasonic divisions and centres in Japan attended the Deep Learning Summit Asia, which presented a great opportunity for us to gain new perspectives on approaches to technical advances in deep learning and smart AI, as well as new forms of creativity in the new technological era. It also provided us with new opportunities for business networking with other participants.

Panasonic R&D Center Singapore ranked in 3rd place in the NIST FRVT 1:1 Verification

In the latest Performance Summary of the NIST* FRVT** 1:1 Verification [last updated: 24th January 2022], Panasonic R&D Center Singapore’s…

Paper accepted for publication in the special issue of the IEEE Transactions on Circuits and Systems for Video Technology

Teaming up with several world-renowned video experts, Panasonic R&D Center Singapore co-authored a paper titled “General Video Coding Technology in…

Joint collaborations with I2R: achieved the No. 2 position at MEC 2017 plus a paper accepted at ICMI 2017

In collaboration with the Institute for Infocomm Research (I2R), Panasonic R&D Center Singapore achieved the No. 2 position in the audio-visual emotion recognition sub-challenge of the Multimodal Emotion Recognition Challenge (MEC) 2017. The challenge (*1) is aimed at the comparison of multimedia processing and machine learning methods for automatic audio and visual emotion analysis.