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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 tops MS-Celeb-1M Challenges

Panasonic R&D Center Singapore, in collaboration with the National University of Singapore (NUS), has achieved the No. 1 position in MS-Celeb-1M Challenge 2017 , which is organized by Microsoft, for both Challenge 1 and Challenge 2. The results are in alignment with our mission to promote Panasonic’s outstanding Face Recognition technology worldwide.

Paper accepted at NIPS2017 and another paper at CoR2017

Panasonic R&D Center Singapore, collaborating with Assistant Professor Feng Jiashi of the National University of Singapore (NUS), co-authored a paper1 titled “Dual-Agent GANs for Photorealistic and Identity Preserving Profile Face Synthesis” that has been accepted at the Conference and Workshop on Neural Information Processing Systems (NIPS) 2017

The ITS Summit Singapore 2017 @Marina Bay Sands

Panasonic R&D Center Singapore partook in a 2-day Intelligent Transportation Society (ITS) Summit Singapore 2017, which attracted more than 300 delegates, industry partners and speakers from the Asia Pacific countries. At this summit, we showcased our initiatives in autonomous automotive technologies and solutions as well as our efforts to accelerate Singapore’s Autonomous Vehicle landscape.

Panasonic Auto Tracking Software Key AW-SF100/200 Powered by Panasonic R&D Center Singapore’s Face Recognition Module

Panasonic R&D Center Singapore’s Face Recognition module has been incorporated into the latest version of the Panasonic Auto Tracking Software…