Company News

Paper accepted at NIPS2017 and another paper at CoR2017

September 06, 2017 | Project

PRDCSG, 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, a machine learning and computational neuroscience conference. This year, NIPS, a top-rated annual conference with a 22% acceptance rate in most cases, will be held in Long Beach, USA, from December 4th through December 9th, 2017.

Moreover, PRDCSG, in collaboration with Professor David Hsu of NUS, co-authored a paper2 titled “Intention-Net: Integrated Planning and Deep Learning for Autonomous Navigation” that has been accepted at the Conference on Robot Learning (CoRL) 2017, a new annual international conference focusing on the intersection of robotics and machine learning. This year’s CoRL will be held in Mountain View, California, USA, from November 13th through November 15th, 2017. Despite being its first-ever event, CoRL has invited a lot of interest from reputable sponsors (with Panasonic being one of the Gold sponsors), famous speakers (such as Yann LeCun, a computer scientist well known for Deep Learning) as well as keen attendees in the fields of robotics, autonomous perception and control.

The publication of the two papers upholds PRDCSG’s mission to promote Panasonic’s technologies at top conferences of respective fields.

<Supplemental information>

paper1: proposes a Dual-Agent Generative Adversarial Network (DA-GAN) model which can improve the realism of a face simulator’s output using unlabelled real faces, while preserving the identity information during realism refinement. The dual agents are specifically designed for distinguishing real vs. fake and identities simultaneously.

paper2: proposes a single unified framework that connects model-based planning and deep learning for autonomous navigation, via an interface named intention to encode where robots would go in the near future.

Share

Related Posts

Panasonic R&D Center Singapore Takes Second Place at the Second Edition of the AI Driving Olympics

Panasonic R&D Center Singapore finished second among the top 5 teams that made the cut from among the 50 teams in a leading international competition – that is, the second edition of the AI Driving Olympics, where Panasonic R&D Center Singapore is last year’s champion.

Read more

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

PRDCSG, 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.

Read more

PRDCSG participated in TechInnovation 2017

PRDCSG 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.

Read more

PRDCSG 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, PRDCSG 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).

Read more
Go top