It is the subfield of computer science that focuses on creating systems capable of intelligent behavior, including problem solving, learning, adaptation, perception, and language understanding.
The article introduces a novel audio-video recognition approach called the Audio-Video Transformer (AVT) that uses effective spatio-temporal representation for improved action recognition. The research reduces cross-modality complexity via an audio-video…
Continue readingThe article introduces ‘FunnyNet-W’, a model that relies on cross- and self-attention for visual, audio, and text data to predict funny moments in videos. Unlike most methods that rely on…
Continue readingThe paper introduces a Cross-Speaker Encoding (CSE) network to improve multi-talker speech recognition. Current methods, single-input multiple-output (SIMO) and single-input single-output (SISO) models, have limitations. The CSE network addresses these…
Continue readingThe paper introduces MAGNET, a masked generative sequence modeling method that operates directly over several streams of audio tokens. Unlike previous works, MAGNET is a single-stage, non-autoregressive transformer. During training,…
Continue readingThis article discusses a comparative study investigating the performances of three models: a proposed convolutional neural network (CNN), the VGG16 with fully connected layers (FC), and an eXtreme Gradient Boosting…
Continue readingDiffSHEG offers a solution for speech-driven holistic 3D expression and gesture generation. Unlike previous research that focused on individual generation of expression or gesture, DiffSHEG facilitates a joint generation, improving…
Continue readingThe study presents an analysis of why millions of people interacted with Microsoft’s generative AI, Zo. It reviews the history and development of artificial intelligence, and the expectations of AI…
Continue readingThe article presents ‘FreeTalker’, a novel framework that generates both spontaneous and non-spontaneous speaker motions, thus improving the naturalness and controllability of talking avatars. Unlike previous models, which only considered…
Continue readingThis academic article presents a detailed overview of Agent AI, a new class of interactive systems that can perceive visual stimuli, language inputs, and other environmentally-grounded data. Agent AI systems…
Continue readingThe paper presents a model for predicting corn yield using deep neural networks (DNNR). The model considers the interaction between weather and soil variables, challenging the assumption that there is…
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