Company News

Panasonic R&D Center Singapore Received the ISCIT 2018 Best Paper Award

September 26-29, 2018 | Event

Teaming up with King Mongkut’s University of Technology Thonburi (KMUTT) to co-author a paper titled “Image Denoising with Deep Convolutional and Multi-directional LSTM Networks under Poisson Noise Environments”, Panasonic R&D Center Singapore (PRDCSG) received the Best Paper Award at ISCIT 2018 held in Bangkok on 26-29 September 2018.

The award-winning paper proposed a novel method that is applicable to next-generation digital cameras for capturing high-quality images in all scenes.

Back

Share

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.

IP Week @ SG 2016

The Intellectual Property Group (IPG) of Panasonic R&D Center Singapore (PRDCSG) participated, as one of the exhibitors, in IP Ecosystem…

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.

Panasonic R&D Center Singapore Achieving the World’s Top Best Accuracy for Face Recognition

In collaboration with the National University of Singapore (NUS) and the Innovation Center of Connected Solutions of Panasonic Corporation, Panasonic R&D Center Singapore has recently developed face recognition technology that has achieved the world’s Top Best Accuracy for Face Recognition by benchmarking the dataset covering all the conditions taken in the surveillance market, the dataset of which is provided by the National Institute of Standards and Technology (NIST).