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The ASR system will predict controller commands to reduce the recognition engine’s search space resulting in reduced command recognition error rates ...

Modern face recognition systems, based on deep learning, convert face images into highly representative features called “embeddings”. The possibility of ...

Generative models using deep learning are heavily researched nowadays by both Machine Learning and Computer Vision communities. The generation of synthetic ...

Recent work from the Machine Learning and Computer Vision communities is focusing on the use of Generative Adversarial Networks (GANs) for the creation of ...

The cell showcases a CRX 10 collaborative robot from Fanuc, equipped with a force torque sensor from Bota Systems, and a mechanical gripper from Schunk. The ...

The objective of this project is to adapt recapp IT AG existing system “töggl” for juristic applications. The project has three main goals: 1) Improve the ...

Idiap investigate integrated fusion approaches to Deep Neural Network (DNN)-based whole-body biometrics combining gait and face recognition. We explore ...

PopEye unique value proposition focuses on a) strengthening the security at the external EU borders through fusing robust biometric technologies for ...

The project provides an augmented dialogue tool that exploits verbal and non-verbal indices to improve interviews’ quality. Its main business application is to ...

Leading diverse human-robot or human-AI teams is slowly becoming the new normal. As automation and AI become integral to many industries, leaders must learn ...