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EPIC-Fusion: Audio-Visual Temporal Binding for Egocentric ...
https://openaccess.thecvf.com/content_ICCV_2019/papers/Kazakos_EPIC-Fusion_Audio-Visual_Temporal_Binding_for_Egocentric_Action_Recognition_ICCV_2019_paper.pdf
ity fusion, our contributions are summarised as follows. First, an end-to-end trainable mid-level fusion Temporal Binding Network (TBN) is proposed1. Second, we present the first audio-visual fusion attempt in egocentric action recognition. Third, we achieve state-of-the-art results on the EPIC-Kitchens public leaderboards on both seen and
Temporal Bayesian Fusion for Affect Sensing: Combining ...
https://www.ncbi.nlm.nih.gov/pubmed/25347894
Temporal Bayesian Fusion for Affect Sensing: Combining Video, Audio, and Lexical Modalities. Savran A, Cao H, Nenkova A, Verma R. The affective state of people changes in the course of conversations and these changes are expressed externally in a variety of channels, including facial expressions, voice, and spoken words.
Temporal Bayesian Fusion for Affect Sensing: Combining ...
https://pubmed.ncbi.nlm.nih.gov/25347894/
We develop temporal Bayesian fusion for continuous real-value estimation of valence, arousal, power, and expectancy dimensions of affect by combining video, audio, and lexical modalities. Our approach provides substantial gains in recognition performance compared to previous work.
[PDF] Hear Me Out: Fusional Approaches for Audio …
https://www.semanticscholar.org/paper/Hear-Me-Out%3A-Fusional-Approaches-for-Audio-Temporal-Bagchi-Mahmood/e2a7494f3ae2cecc33dce873be68bb7b3221b3c3
State of the art architectures for untrimmed video Temporal Action Localization (TAL) have only considered RGB and Flow modalities, leaving the information-rich audio modality totally unexploited. Audio fusion has been explored for the related but arguably easier problem of trimmed (clip-level) action recognition.
EPIC-Fusion: Audio-Visual Temporal Binding for Egocentric ...
https://paperswithcode.com/paper/epic-fusion-audio-visual-temporal-binding-for
EPIC-Fusion: Audio-Visual Temporal Binding for Egocentric Action Recognition. We focus on multi-modal fusion for egocentric action recognition, and propose a novel architecture for multi-modal temporal-binding, i.e. the combination of modalities within a range of temporal offsets. We train the architecture with three modalities -- RGB, Flow and ...
EPIC-Fusion: Audio-Visual Temporal Binding for …
https://www.arxiv-vanity.com/papers/1908.08498/
We focus on multi-modal fusion for egocentric action recognition, and propose a novel architecture for multi-modal temporal-binding, i.e. the combination of modalities within a range of temporal offsets. We train the architecture with three modalities – RGB, Flow and Audio – and combine them with mid-level fusion alongside sparse temporal sampling of fused …
Hear Me Out: Fusional Approaches for Audio Augmented ...
https://paperswithcode.com/paper/hear-me-out-fusional-approaches-for-audio
Hear Me Out: Fusional Approaches for Audio Augmented Temporal Action Localization. State of the art architectures for untrimmed video Temporal Action Localization (TAL) have only considered RGB and Flow modalities, leaving the information-rich audio modality totally unexploited. Audio fusion has been explored for the related but arguably easier ...
Time Series Forecasting with Temporal Fusion Transformer ...
https://pythonawesome.com/time-series-forecasting-with-temporal-fusion-transformer-in-pytorch/
Forecasting with the Temporal Fusion Transformer. Multi-horizon forecasting often contains a complex mix of inputs – including static (i.e. time-invariant) covariates, known future inputs, and other exogenous time series that are only observed in the past – without any prior information on how they interact with the target.
GitHub - ekazakos/temporal-binding-network: …
https://github.com/ekazakos/temporal-binding-network
Temporal Binding Network. This repository implements the model proposed in the paper: Evangelos Kazakos, Arsha Nagrani, Andrew Zisserman, Dima Damen, EPIC-Fusion: Audio-Visual Temporal Binding for Egocentric Action Recognition, ICCV, 2019 Project's webpage
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