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09/18/2023
Frame-to-Utterance Convergence: A Spectra-Temporal Approach for Unified Spoofing Detection
Voice spoofing attacks pose a significant threat to automated speaker ve...
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07/31/2023
DCTM: Dilated Convolutional Transformer Model for Multimodal Engagement Estimation in Conversation
Conversational engagement estimation is posed as a regression problem, e...
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03/10/2023
Single-branch Network for Multimodal Training
With the rapid growth of social media platforms, users are sharing billi...
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02/25/2023
Speaker Recognition in Realistic Scenario Using Multimodal Data
In recent years, an association is established between faces and voices ...
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08/22/2022
Learning Branched Fusion and Orthogonal Projection for Face-Voice Association
Recent years have seen an increased interest in establishing association...
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04/15/2022
Guiding Attention using Partial-Order Relationships for Image Captioning
The use of attention models for automated image captioning has enabled m...
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01/03/2022
Semantically Grounded Visual Embeddings for Zero-Shot Learning
Zero-shot learning methods rely on fixed visual and semantic embeddings,...
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12/20/2021
Fusion and Orthogonal Projection for Improved Face-Voice Association
We study the problem of learning association between face and voice, whi...
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04/28/2020
Cross-modal Speaker Verification and Recognition: A Multilingual Perspective
Recent years have seen a surge in finding association between faces and ...
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09/18/2019
Deep Latent Space Learning for Cross-modal Mapping of Audio and Visual Signals
We propose a novel deep training algorithm for joint representation of a...
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09/09/2019
Picture What you Read
Visualization refers to our ability to create an image in our head based...
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09/03/2019
Do Cross Modal Systems Leverage Semantic Relationships?
Current cross-modal retrieval systems are evaluated using R@K measure wh...
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04/02/2019
Aiding Intra-Text Representations with Visual Context for Multimodal Named Entity Recognition
With massive explosion of social media such as Twitter and Instagram, pe...
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10/16/2018
Learning Inward Scaled Hypersphere Embedding: Exploring Projections in Higher Dimensions
Majority of the current dimensionality reduction or retrieval techniques...
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10/03/2018
Image and Encoded Text Fusion for Multi-Modal Classification
Multi-modal approaches employ data from multiple input streams such as t...
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08/31/2018
Seeing Colors: Learning Semantic Text Encoding for Classification
The question we answer with this work is: can we convert a text document...
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07/23/2018
Git Loss for Deep Face Recognition
Convolutional Neural Networks (CNNs) have been widely used in computer v...
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07/19/2018