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Found 4 papers, 2 papers with code
Modeling Multimodal Social Interactions: New Challenges and Baselines with Densely Aligned Representations
Furthermore, we propose a novel multimodal baseline that leverages densely aligned language-visual representations by synchronizing visual features with their corresponding utterances.
Low-shot Object Learning with Mutual Exclusivity Bias
This paper introduces Low-shot Object Learning with Mutual Exclusivity Bias (LSME), the first computational framing of mutual exclusivity bias, a phenomenon commonly observed in infants during word learning.
Ego-Exo4D: Understanding Skilled Human Activity from First- and Third-Person Perspectives
We present Ego-Exo4D, a diverse, large-scale multimodal multiview video dataset and benchmark challenge.
Multipath Graph Convolutional Neural Networks
Recent research has focused on stacking multiple layers like in convolutional neural networks for the increased expressive power of graph convolution networks.
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