32 citations · 34 across the 11 of their papers we have counts for
14 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…
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,…
SHARP-QoS: Sparsely-gated Hierarchical Adaptive Routing for Joint Prediction of QoS
Suraj Kumar, Arvind Kumar, Soumi Chattopadhyay
Dependable service-oriented computing relies on multiple Quality-of-Service (QoS) parameters to assess service performance. However, real-world QoS data are often sparse, noisy, an…
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…
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…
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…
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…