activity
20172023
most citedDoes Visual Self-Supervision Improve Learning of Speech Representations for Emotion Recognition?

27 citations · 85 across the 8 of their papers we have counts for

collaborators

9 papers

cs.CV2023

Egocentric Auditory Attention Localization in Conversations

Fiona Ryan, Hao Jiang, Abhinav Shukla +2

In a noisy conversation environment such as a dinner party, people often exhibit selective auditory attention, or the ability to focus on a particular speaker while tuning out othe…

eess.AS2020★ 4 cited

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…

eess.AS2020★ 27 cited

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…

eess.AS2020

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…

cs.HC2019

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…

cs.HC2018★ 1 cited

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…

cs.CV2018★ 12 cited

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…

cs.HC2017★ 19 cited

Evaluating Content-centric vs User-centric Ad Affect Recognition

Abhinav Shukla, Shruti Shriya Gullapuram, Harish Katti +3

Despite the fact that advertisements (ads) often include strongly emotional content, very little work has been devoted to affect recognition (AR) from ads. This work explicitly com…

cs.HC2017★ 22 cited

Affect Recognition in Ads with Application to Computational Advertising

Abhinav Shukla, Shruti Shriya Gullapuram, Harish Katti +3

Advertisements (ads) often include strongly emotional content to leave a lasting impression on the viewer. This work (i) compiles an affective ad dataset capable of evoking coheren…