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Paper accepted for publication in the IEEE Transactions on Systems, Man, and Cybernetics: Systems

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Collaborating with Nanjing University of Science and Technology (NUST), Panasonic R&D Center Singapore co-authored a paper titled “Modular Lightweight Network for Road Object Detection using a Feature Fusion Approach”, which has been accepted for publication in the IEEE Transactions on Systems, Man, and Cybernetics: Systems. The paper presents a modular lightweight Deep Learning model for detection of road objects such as cars, pedestrians and cyclists. In a situation where objects are far away from the camera and small in size, we utilize a fast and efficient network architecture, referred to as modular feature fusion detector (MFFD), to give evidence of the improvement of ThinNet.

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Panasonic R&D Center Singapore participated in TechInnovation 2017

Panasonic R&D Center Singapore had a presence at TechInnovation 2017, a technology-industry brokerage event organized by IPI Singapore at Sands Expo & Convention Centre on 19-20 September 2017, to exhibit 12 posters featuring technologies such as artificial intelligence, autonomous driving, data analytics, wireless communications, etc.

TechInnovation @SG 2016

Panasonic R&D Center Singapore partook in TechInnovation 2016 as one of the exhibitors to appeal to local collaboration through crowd-sourcing and crowd-pitching. TechInnovation has been a technology-industry brokerage event organized by IPI Singapore since 2012.

1-day Design Thinking Workshop @Singapore Polytechnic

We believe creativity is an essential skill for our members trying to make a difference in their work at Panasonic R&D Center Singapore. At this, in collaboration with LWC-S (Live Well Collaborative Singapore) which is based at Singapore Polytechnic, Panasonic R&D Center Singapore organized a one-day design thinking workshop for Panasonic R&D Center Singapore’s members on December 21, 2016.

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.