216 citations · 360 across the 30 of their papers we have counts for
33 papers
From Visual Feedback to Textual Reviews: A Multi-Agent Vision-Language Framework for Image-Grounded Review Assistance
Utsav Kumar Nareti, Ayush Bansal, Kumari Priya +4
Visual feedback in the form of user-uploaded images and videos is becoming increasingly common in e-commerce platforms because it provides authentic evidence of product quality, de…
From Visual Attribution to Clinical Reasoning: Explainable Parkinson's Disease Screening from Hand-Drawn Patterns
Aritra Dey, Utsav Kumar Nareti, Chandranath Adak +3
Parkinson's disease (PD) manifests early neuromotor impairments that become observable in controlled hand-drawn patterns such as spirals and meanders, where tremor-induced oscillat…
Modality Agreement- and Conflict-Aware Prototype Hypergraph Learning for Multimodal Intent Understanding
Mohnish Raj, Suraj Kumar, Soumi Chattopadhayay +2
Multimodal intent recognition requires understanding not only what textual, acoustic, and visual signals share, but also how they disagree. Such disagreement is frequently class-in…
Adaptive Modality Reliability Diagnosis and Restoration for Robust Multimodal Intent Recognition
Suraj Kumar, Mohnish Raj, Soumi Chattopadhayay +2
Multimodal intent recognition combines linguistic, acoustic, and visual evidence, but individual modalities may be noisy, missing, semantically conflicting, or disproportionately d…
Deep Learning-Based Sign Language Recognition from Videos and Cross-Lingual Translation to Indian Vernaculars
Ramesh Nandipalli, Chandranath Adak
Sign language is a primary mode of communication for the global deaf and hard-of-hearing community, yet automated tools that recognize sign gestures from video and translate them i…
SAiW: Source-Attributable Invisible Watermarking for Proactive Deepfake Defense
Bibek Das, Chandranath Adak, Soumi Chattopadhyay +2
Deepfakes generated by modern generative models pose a serious threat to information integrity, digital identity, and public trust. Existing detection methods are largely reactive,…
Hierarchical Book Organization for Learning-Resource Discovery using Dual-Path Graph Convolutions
Suraj Kumar, Utsav Kumar Nareti, Soumi Chattopadhyay +2
The growing availability of books and textual materials in digital learning environments necessitates reliable semantic organization to support scalable resource management and dis…
Agentic Multi-Persona Framework for Evidence-Aware Fake News Detection
Roopa Bukke, Soumya Pandey, Suraj Kumar +2
The rapid proliferation of online misinformation threatens the stability of digital social systems and poses significant risks to public trust, policy, and safety, necessitating re…
ProtoSiTex: Learning Semi-Interpretable Prototypes for Multi-label Text Classification
Utsav Kumar Nareti, Suraj Kumar, Soumya Pandey +3
The rapid growth of user-generated text across digital platforms has intensified the need for interpretable models capable of fine-grained text classification and explanation. Exis…
Assessing Engineering Student Perceptions of Introductory CS Courses in an Indian Context
Utsav Kumar Nareti, Divyansh Gupta, Chandranath Adak +5
Understanding student perceptions of assessment is vital for designing inclusive and effective learning environments, especially in technical education. This study explores enginee…
Adaptive Data-Resilient Multi-Modal Hierarchical Multi-Label Book Genre Identification
Utsav Kumar Nareti, Soumi Chattopadhyay, Prolay Mallick +5
Identifying fine-grained book genres is essential for enhancing user experience through efficient discovery, personalized recommendations, and improved reader engagement. At the sa…
RDD4D: 4D Attention-Guided Road Damage Detection And Classification
Asma Alkalbani, Muhammad Saqib, Ahmed Salim Alrawahi +3
Road damage detection and assessment are crucial components of infrastructure maintenance. However, current methods often struggle with detecting multiple types of road damage in a…
Unraveling Movie Genres through Cross-Attention Fusion of Bi-Modal Synergy of Poster
Utsav Kumar Nareti, Chandranath Adak, Soumi Chattopadhyay +1
Movie posters are not just decorative; they are meticulously designed to capture the essence of a movie, such as its genre, storyline, and tone/vibe. For decades, movie posters hav…
Reinforcing Competitive Multi-Agents for Playing 'So Long Sucker'
Medant Sharan, Chandranath Adak
This paper investigates the strategy game So Long Sucker (SLS) as a novel benchmark for multi-agent reinforcement learning (MARL). Unlike traditional board or video game testbeds,…
Anomaly Resilient Temporal QoS Prediction using Hypergraph Convoluted Transformer Network
Suraj Kumar, Soumi Chattopadhyay, Chandranath Adak
Quality-of-Service (QoS) prediction is a critical task in the service lifecycle, enabling precise and adaptive service recommendations by anticipating performance variations over t…
Demystifying Visual Features of Movie Posters for Multi-Label Genre Identification
Utsav Kumar Nareti, Chandranath Adak, Soumi Chattopadhyay
In the film industry, movie posters have been an essential part of advertising and marketing for many decades, and continue to play a vital role even today in the form of digital p…
Impact of Visual Context on Noisy Multimodal NMT: An Empirical Study for English to Indian Languages
Baban Gain, Dibyanayan Bandyopadhyay, Samrat Mukherjee +2
Neural Machine Translation (NMT) has made remarkable progress using large-scale textual data, but the potential of incorporating multimodal inputs, especially visual information, r…
Metal Oxide-based Gas Sensor Array for the VOCs Analysis in Complex Mixtures using Machine Learning
Shivam Singh, Sajana S, Poornima +4
Detection of Volatile Organic Compounds (VOCs) from the breath is becoming a viable route for the early detection of diseases non-invasively. This paper presents a sensor array wit…
TPMCF: Temporal QoS Prediction using Multi-Source Collaborative Features
Suraj Kumar, Soumi Chattopadhyay, Chandranath Adak
Recently, with the rapid deployment of service APIs, personalized service recommendations have played a paramount role in the growth of the e-commerce industry. Quality-of-Service…
Detecting Severity of Diabetic Retinopathy from Fundus Images: A Transformer Network-based Review
Tejas Karkera, Chandranath Adak, Soumi Chattopadhyay +1
Diabetic Retinopathy (DR) is considered one of the significant concerns worldwide, primarily due to its impact on causing vision loss among most people with diabetes. The severity…
Deep Learning for Unsupervised Anomaly Localization in Industrial Images: A Survey
Xian Tao, Xinyi Gong, Xin Zhang +2
Currently, deep learning-based visual inspection has been highly successful with the help of supervised learning methods. However, in real industrial scenarios, the scarcity of def…
Deep Analysis of Visual Product Reviews
Chandranath Adak, Soumi Chattopadhyay, Muhammad Saqib
With the proliferation of the e-commerce industry, analyzing customer feedback is becoming indispensable to a service provider. In recent days, it can be noticed that customers upl…
FES: A Fast Efficient Scalable QoS Prediction Framework
Soumi Chattopadhyay, Chandranath Adak, Ranjana Roy Chowdhury
Quality-of-Service prediction of web service is an integral part of services computing due to its diverse applications in the various facets of a service life cycle, such as servic…
CAHPHF: Context-Aware Hierarchical QoS Prediction with Hybrid Filtering
Ranjana Roy Chowdhury, Soumi Chattopadhyay, Chandranath Adak
With the proliferation of Internet-of-Things and continuous growth in the number of web services at the Internet-scale, the service recommendation is becoming a challenge nowadays.…