Company News

Acceptance of two papers by ICCV’17 Workshop on MS-Celeb-1M: Recognizing One Million Celebrities in the Real World

August 17, 2017 | Project

Panasonic R&D Center Singapore, collaborating with the National University of Singapore (NUS), co-authored two papers that have been accepted by ICCV (International Conference on Computer Vision*) 2017 Workshop on MS-Celeb-1M: Recognizing One Million Celebrities in the Real World, which will be held in Venice, Italy, on October 28th, 2017.

The two papers are titled: “High Performance Large Scale Face Recognition with Multi-Cognition Softmax and Feature Retrieval” and “Know You at One Glance: A Compact Vector Representation for Low-Shot Learning”, which, respectively, correspond to Challenge 1 and Challenge 2 of the MS-Celeb-1M, in which we achieved the No.1 position in both competitions.

* A premier international computer vision event

Back

Share

Panasonic’s newly launched JZ200 OLED TV powered by Panasonic R&D Center Singapore’s proprietary neural network named Lightweight-and-Versatile Network (LVNet)

Panasonic has announced the launch of its flagship OLED TV for 2021, that is, the JZ2000, which includes a brand-new…

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.

Panasonic R&D Center Singapore Won the AI Driving Olympics (AI-DO) at NeurIPS (formerly known as NIPS) 2018

Panasonic R&D Center Singapore (PRDCSG) teamed up with the National University of Singapore (NUS) to partake in the inaugural AI Driving Olympics (AI-DO) competition, which took place at NeurIPS (formerly known as NIPS)

Panasonic R&D Center Singapore Achieves No. 1 Accuracy of Face Recognition on the IJB-C Dataset

Panasonic R&D Center Singapore achieved the Best Accuracy of Face Recognition on the IJB-C dataset under three different protocols, namely 1:1 mixed verification, 1:N mixed identification and 1:1 covariate verification.