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10/26/2021
Leveraging Local Temporal Information for Multimodal Scene Classification
Robust video scene classification models should capture the spatial (pix...
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10/26/2021
Can't Fool Me: Adversarially Robust Transformer for Video Understanding
Deep neural networks have been shown to perform poorly on adversarial ex...
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03/18/2021
Enhancing Transformer for Video Understanding Using Gated Multi-Level Attention and Temporal Adversarial Training
The introduction of Transformer model has led to tremendous advancements...
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03/07/2020
Cross-modal Learning for Multi-modal Video Categorization
Multi-modal machine learning (ML) models can process data in multiple mo...
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02/07/2020
Exploiting Temporal Coherence for Multi-modal Video Categorization
Multimodal ML models can process data in multiple modalities (e.g., vide...
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10/31/2019
Modeling Feature Representations for Affective Speech using Generative Adversarial Networks
Emotion recognition is a classic field of research with a typical setup ...
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06/18/2018
On Enhancing Speech Emotion Recognition using Generative Adversarial Networks
Generative Adversarial Networks (GANs) have gained a lot of attention fr...
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06/07/2018
Semi-supervised and Transfer learning approaches for low resource sentiment classification
Sentiment classification involves quantifying the affective reaction of ...
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06/06/2018
