activity
20152023
most citedDense and Diverse Capsule Networks: Making the Capsules Learn Better

45 citations · 218 across the 33 of their papers we have counts for

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Showing 2023Show all

6 papers · 1 filter

cs.CV2023★ 3 cited

MAGIC-TBR: Multiview Attention Fusion for Transformer-based Bodily Behavior Recognition in Group Settings

Surbhi Madan, Rishabh Jain, Gulshan Sharma +2

Bodily behavioral language is an important social cue, and its automated analysis helps in enhancing the understanding of artificial intelligence systems. Furthermore, behavioral l…

cs.CV2023

ArtHDR-Net: Perceptually Realistic and Accurate HDR Content Creation

Hrishav Bakul Barua, Ganesh Krishnasamy, KokSheik Wong +2

High Dynamic Range (HDR) content creation has become an important topic for modern media and entertainment sectors, gaming and Augmented/Virtual Reality industries. Many methods ha…

cs.CV2023

Pavlok-Nudge: A Feedback Mechanism for Atomic Behaviour Modification with Snoring Usecase

Md Rakibul Hasan, Shreya Ghosh, Pradyumna Agrawal +3

This paper proposes an atomic behaviour intervention strategy using the Pavlok wearable device. Pavlok utilises beeps, vibration and shocks as a mode of aversion technique to help…

cs.HC2023★ 1 cited

Emolysis: A Multimodal Open-Source Group Emotion Analysis and Visualization Toolkit

Shreya Ghosh, Zhixi Cai, Parul Gupta +4

Automatic group emotion recognition plays an important role in understanding complex human-human interaction. This paper introduces, Emolysis, a Python-based, standalone open-sourc…

cs.CV2023★ 2 cited

Glitch in the Matrix: A Large Scale Benchmark for Content Driven Audio-Visual Forgery Detection and Localization

Zhixi Cai, Shreya Ghosh, Abhinav Dhall +3

Most deepfake detection methods focus on detecting spatial and/or spatio-temporal changes in facial attributes and are centered around the binary classification task of detecting w…

cs.CV2023★ 2 cited

Do I Have Your Attention: A Large Scale Engagement Prediction Dataset and Baselines

Monisha Singh, Ximi Hoque, Donghuo Zeng +3

The degree of concentration, enthusiasm, optimism, and passion displayed by individual(s) while interacting with a machine is referred to as `user engagement'. Engagement comprises…