Pose, look, facial expression, hand gestures, etc.—collectively called "body language”—has been the subject of many academic investigations. Accurately recording, interpreting, and creating non-verbal signals may greatly enhance the realism of avatars in telepresence, augmented reality (AR),...
It has always been challenging to launch an annotation effort. A team of researchers introduce The Portable Text Annotation tool (Potato), a web-based application approved for use in the EMNLP 2022 DEMO track. Potato's project hub...
Neural machine translation (NMT) models have steadily improved over the years, and their quality is now quite close to that of human translators. Commonly,...
The use of multimodal data for AI training has gained popularity, particularly in recent years. The popularity of voice-activated screen devices like the Amazon...
Algorithmic bias has emerged as a major area of study in artificial intelligence in recent years. An examination of facial recognition software in 2018...
Depth data is crucial for various robot uses, including navigation, mapping, and obstacle avoidance. Monocular depth estimation (MDE), which makes depth predictions using only...
One primary machine learning application today is recommendation systems for e-commerce stores like Amazon. Customers can save time and have more fulfilling buying experiences...
Question answering is to learn predicting answers to a given question using machine learning. While many cutting-edge question-answering models perform well when asked simple...
Gigantic models are those models that have to be trained using billions or trillions of parameters. Due to significant communication overheads, current general purpose...
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