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09/07/2023
LanSER: Language-Model Supported Speech Emotion Recognition
Speech emotion recognition (SER) models typically rely on costly human-l...
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08/27/2023
MM-AU:Towards Multimodal Understanding of Advertisement Videos
Advertisement videos (ads) play an integral part in the domain of Intern...
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03/13/2023
Contextually-rich human affect perception using multimodal scene information
The process of human affect understanding involves the ability to infer ...
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03/05/2023
Heterogeneous Graph Learning for Acoustic Event Classification
Heterogeneous graphs provide a compact, efficient, and scalable way to m...
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02/14/2023
A dataset for Audio-Visual Sound Event Detection in Movies
Audio event detection is a widely studied audio processing task, with ap...
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10/20/2022
MovieCLIP: Visual Scene Recognition in Movies
Longform media such as movies have complex narrative structures, with ev...
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07/16/2022
Visually-aware Acoustic Event Detection using Heterogeneous Graphs
Perception of auditory events is inherently multimodal relying on both a...
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06/24/2022
Multitask vocal burst modeling with ResNets and pre-trained paralinguistic Conformers
This technical report presents the modeling approaches used in our submi...
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01/31/2022
Self-supervised Graphs for Audio Representation Learning with Limited Labeled Data
Large scale databases with high-quality manual annotations are scarce in...
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10/08/2021
Representation of professions in entertainment media: Insights into frequency and sentiment trends through computational text analysis
Societal ideas and trends dictate media narratives and cinematic depicti...
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08/25/2020
Multi-Face: Self-supervised Multiview Adaptation for Robust Face Clustering in Videos
Robust face clustering is a key step towards computational understanding...
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08/19/2020
Victim or Perpetrator? Analysis of Violent Characters Portrayals from Movie Scripts
Violent content in the media can influence viewers' perception of the so...
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05/12/2020
Generalized Multi-view Shared Subspace Learning using View Bootstrapping
A key objective in multi-view learning is to model the information commo...
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03/09/2020
Crossmodal learning for audio-visual speech event localization
An objective understanding of media depictions, such as about inclusive ...
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02/10/2020
An empirical analysis of information encoded in disentangled neural speaker representations
The primary characteristic of robust speaker representations is that the...
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11/03/2019
Robust speaker recognition using unsupervised adversarial invariance
In this paper, we address the problem of speaker recognition in challeng...
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04/03/2019
