Publications (26)
Interpretable Image Emotion Recognition: A Domain Adaptation Approach Using Facial Expressions
Puneet Kumar, Balasubramanian Raman
This paper proposes a feature-based domain adaptation technique for identifying emotions in generic images, encompassing both facial and non-facial objects, as well as non-human co…
Discriminative Parameter Estimation for Random Walks Segmentation: Technical Report
Pierre-Yves Baudin, Danny Goodman, Puneet Kumar +4
The Random Walks (RW) algorithm is one of the most e - cient and easy-to-use probabilistic segmentation methods. By combining contrast terms with prior terms, it provides accurate…
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…
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…
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,…
Implementation and Analysis of QUIC for MQTT
Puneet Kumar, Behnam Dezfouli
Transport and security protocols are essential to ensure reliable and secure communication between two parties. For IoT applications, these protocols must be lightweight, since IoT…
GAViD: A Large-Scale Multimodal Dataset for Context-Aware Group Affect Recognition from Videos
Deepak Kumar, Abhishek Pratap Singh, Puneet Kumar +2
Understanding affective dynamics in real-world social systems is fundamental to modeling and analyzing human-human interactions in complex environments. Group affect emerges from i…
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…
A Conceptual E-Governance Framework for Improving Child Immunization Process in India
Puneet Kumar, Dharminder Kumar
India is country having high population and great variations in the educational level, economic conditions, population densities, cultures and awareness levels. Due to these variat…
ICT in Local Self Governance: A Study of Rural India
Puneet Kumar, Dharminder Kumar, Narendra Kumar
The concept of local self-governance is not new as it has its roots in ancient time even before the era of Mauryan emperors. This paper depicts the journey of local self-governance…
VisioPhysioENet: Visual Physiological Engagement Detection Network
Alakhsimar Singh, Kanav Goyal, Nischay Verma +3
This paper presents VisioPhysioENet, a novel multimodal system that leverages visual and physiological signals to detect learner engagement. It employs a two-level approach for ext…
TCCT-Net: Two-Stream Network Architecture for Fast and Efficient Engagement Estimation via Behavioral Feature Signals
Alexander Vedernikov, Puneet Kumar, Haoyu Chen +2
Engagement analysis finds various applications in healthcare, education, advertisement, services. Deep Neural Networks, used for analysis, possess complex architecture and need lar…
Machine Learning-Based Classification of Jhana Advanced Concentrative Absorption Meditation (ACAM-J) using 7T fMRI
Puneet Kumar, Winson F. Z. Yang, Alakhsimar Singh +2
Jhana advanced concentration absorption meditation (ACAM-J) is related to profound changes in consciousness and cognitive processing, making the study of their neural correlates vi…
Computational Analysis of Stress, Depression and Engagement in Mental Health: A Survey
Puneet Kumar, Alexander Vedernikov, Yuwei Chen +2
Analysis of stress, depression and engagement is less common and more complex than that of frequently discussed emotions such as happiness, sadness, fear and anger. The importance…
QuicSDN: Transitioning from TCP to QUIC for Southbound Communication in SDNs
Puneet Kumar, Behnam Dezfouli
In Software-Defined Networks (SDNs), the control plane and data plane communicate for various purposes, such as applying configurations and collecting statistical data. While vario…
Fast Griffin Lim based Waveform Generation Strategy for Text-to-Speech Synthesis
Ankit Sharma, Puneet Kumar, Vikas Maddukuri +5
The performance of text-to-speech (TTS) systems heavily depends on spectrogram to waveform generation, also known as the speech reconstruction phase. The time required for the same…
Improved Service Delivery and Cost Effective Framework for e-Governance in India
Puneet Kumar, Dharminder Kumar, Narendra Kumar
In current era, the involvement of technologies like virtualization, consolidation and cloud computing, and adoption of free and open source software in designing and deploying e-g…
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…
Evolution of Artificial Intelligent Plane
Puneet Kumar
With the growth of the internet, it is becoming hard to manage, configure and monitor networks. Recent trends to control and operate them is artificial intelligence based automatio…
End-to-end Triplet Loss based Emotion Embedding System for Speech Emotion Recognition
Puneet Kumar, Sidharth Jain, Balasubramanian Raman +2
In this paper, an end-to-end neural embedding system based on triplet loss and residual learning has been proposed for speech emotion recognition. The proposed system learns the em…
Vision Large Language Models Are Good Noise Handlers in Engagement Analysis
Alexander Vedernikov, Puneet Kumar, Haoyu Chen +2
Engagement recognition in video datasets, unlike traditional image classification tasks, is particularly challenged by subjective labels and noise limiting model performance. To ov…
QUIC (Quick UDP Internet Connections) -- A Quick Study
Puneet Kumar
Main responsibility of a transport protocol is to support communication between two end-to-end entities. These entities can be hosts or devices, such as routers, firewalls etc. Tra…
Point to Point Ethernet TransmissionWireless Backhaul Links Clustering
Puneet Kumar
Arxiv is acting weird and throwing error: "Bad character(s) in field Abstract." for no reason. Please refer to the manuscript.
E-Governance in India: Definitions, Challenges and Solutions
Puneet Kumar, Dharminder Kumar, Narendra Kumar
The Government of India is transcending from traditional modus operandi of governance towards technological involvement in the process of governance. Currently, the Government of I…
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…
Discriminative Parameter Estimation for Random Walks Segmentation
Pierre-Yves Baudin, Danny Goodman, Puneet Kumar +4
The Random Walks (RW) algorithm is one of the most e - cient and easy-to-use probabilistic segmentation methods. By combining contrast terms with prior terms, it provides accurate…