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...
Posters have been widely utilized in numerous commercial and nonprofit contexts to promote and disseminate information as a type of media with artistic and...
Dense retrieval, a technique for finding documents based on similarities in semantic embedding, has been shown effective for tasks including fact-checking, question-answering, and online...
Photo-realistic novel view synthesis and high-fidelity surface reconstruction have been made possible by recent developments in implicit brain representations. Unfortunately, most of the approaches...
Artificial intelligence is making noteworthy strides in the field of computer vision. One key area of development is deep learning, where neural networks are...
Artificial intelligence is the ability of machines, especially computer systems, to mimic human intellectual capabilities. Some examples of particular AI applications include expert systems,...
Large text-to-image diffusion models have been an innovative tool for creating and editing content because they make it possible to synthesize a variety of...
Several popular geometric computer vision systems rely on local feature matching to function, such as Simultaneous Localization and Mapping (SLAM) and Structure-from-Motion (SFM). Detector-based...
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