22 citations · 45 across the 4 of their papers we have counts for
8 papers
Learning Speech Representations from Raw Audio by Joint Audiovisual Self-Supervision
Abhinav Shukla, Stavros Petridis, Maja Pantic
The intuitive interaction between the audio and visual modalities is valuable for cross-modal self-supervised learning. This concept has been demonstrated for generic audiovisual t…
Does Visual Self-Supervision Improve Learning of Speech Representations for Emotion Recognition?
Abhinav Shukla, Stavros Petridis, Maja Pantic
Self-supervised learning has attracted plenty of recent research interest. However, most works for self-supervision in speech are typically unimodal and there has been limited work…
Visually Guided Self Supervised Learning of Speech Representations
Abhinav Shukla, Konstantinos Vougioukas, Pingchuan Ma +2
Self supervised representation learning has recently attracted a lot of research interest for both the audio and visual modalities. However, most works typically focus on a particu…
Recognition of Advertisement Emotions with Application to Computational Advertising
Abhinav Shukla, Shruti Shriya Gullapuram, Harish Katti +3
Advertisements (ads) often contain strong affective content to capture viewer attention and convey an effective message to the audience. However, most computational affect recognit…
Engagement Estimation in Advertisement Videos with EEG
Sangeetha Balasubramanian, Shruti Shriya Gullapuram, Abhinav Shukla
Engagement is a vital metric in the advertising industry and its automatic estimation has huge commercial implications. This work presents a basic and simple framework for engageme…
Looking Beyond a Clever Narrative: Visual Context and Attention are Primary Drivers of Affect in Video Advertisements
Abhinav Shukla, Harish Katti, Mohan Kankanhalli +1
Emotion evoked by an advertisement plays a key role in influencing brand recall and eventual consumer choices. Automatic ad affect recognition has several useful applications. Howe…