6 papers
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…
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…
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…
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…
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…
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…