5 citations · 15 across the 9 of their papers we have counts for
9 papers
Synthesizing Sentiment-Controlled Feedback For Multimodal Text and Image Data
Puneet Kumar, Sarthak Malik, Balasubramanian Raman +1
The ability to generate sentiment-controlled feedback in response to multimodal inputs comprising text and images addresses a critical gap in human-computer interaction. This capab…
Interpretable Multimodal Emotion Recognition using Facial Features and Physiological Signals
Puneet Kumar, Xiaobai Li
This paper aims to demonstrate the importance and feasibility of fusing multimodal information for emotion recognition. It introduces a multimodal framework for emotion understandi…
Interpretable Multimodal Emotion Recognition using Hybrid Fusion of Speech and Image Data
Puneet Kumar, Sarthak Malik, Balasubramanian Raman
This paper proposes a multimodal emotion recognition system based on hybrid fusion that classifies the emotions depicted by speech utterances and corresponding images into discrete…
VISTANet: VIsual Spoken Textual Additive Net for Interpretable Multimodal Emotion Recognition
Puneet Kumar, Sarthak Malik, Balasubramanian Raman +1
This paper proposes a multimodal emotion recognition system, VIsual Spoken Textual Additive Net (VISTANet), to classify emotions reflected by input containing image, speech, and te…
Affective Feedback Synthesis Towards Multimodal Text and Image Data
Puneet Kumar, Gaurav Bhat, Omkar Ingle +2
In this paper, we have defined a novel task of affective feedback synthesis that deals with generating feedback for input text & corresponding image in a similar way as humans resp…
Region extraction based approach for cigarette usage classification using deep learning
Anshul Pundhir, Deepak Verma, Puneet Kumar +1
This paper has proposed a novel approach to classify the subjects' smoking behavior by extracting relevant regions from a given image using deep learning. After the classification,…