2 citations · 3 across the 9 of their papers we have counts for
10 papers
ProgressNet: Sketching and Prompting with a Frozen Text-to-Image Model
Arkaprabha Basu, Chaitat Utintu, Yi-Zhe Song
Humans draw progressively: a few strokes, a look at the result, a stroke erased, a prompt revised. Image generators do not work this way. They typically take a finished sketch and…
ARREST: Adversarial Resilient Regulation Enhancing Safety and Truth in Large Language Models
Sharanya Dasgupta, Arkaprabha Basu, Sujoy Nath +1
Human cognition, driven by complex neurochemical processes, oscillates between imagination and reality and learns to self-correct whenever such subtle drifts lead to hallucinations…
HalluShift++: Bridging Language and Vision through Internal Representation Shifts for Hierarchical Hallucinations in MLLMs
Sujoy Nath, Arkaprabha Basu, Sharanya Dasgupta +1
Multimodal Large Language Models (MLLMs) have demonstrated remarkable capabilities in vision-language understanding tasks. While these models often produce linguistically coherent…
A Systematic Review of Digital Twin-Driven Predictive Maintenance in Industrial Engineering: Taxonomy, Architectural Elements, and Future Research Directions
Leila Ismail, Abdelmoneim Abdelmoti, Arkaprabha Basu +2
With the increasing complexity of industrial systems, there is a pressing need for predictive maintenance to avoid costly downtime and disastrous outcomes that could be life-threat…
Revealing the Ancient Beauty: Digital Reconstruction of Temple Tiles using Computer Vision
Arkaprabha Basu
Modern digitised approaches have dramatically changed the preservation and restoration of cultural treasures, integrating computer scientists into multidisciplinary projects with e…
HalluShift: Measuring Distribution Shifts towards Hallucination Detection in LLMs
Sharanya Dasgupta, Sujoy Nath, Arkaprabha Basu +2
Large Language Models (LLMs) have recently garnered widespread attention due to their adeptness at generating innovative responses to the given prompts across a multitude of domain…
On Robust Cross Domain Alignment
Anish Chakrabarty, Arkaprabha Basu, Swagatam Das
The Gromov-Wasserstein (GW) distance is an effective measure of alignment between distributions supported on distinct ambient spaces. Calculating essentially the mutual departure f…
Fortifying Fully Convolutional Generative Adversarial Networks for Image Super-Resolution Using Divergence Measures
Arkaprabha Basu, Kushal Bose, Sankha Subhra Mullick +2
Super-Resolution (SR) is a time-hallowed image processing problem that aims to improve the quality of a Low-Resolution (LR) sample up to the standard of its High-Resolution (HR) co…
Concurrent Density Estimation with Wasserstein Autoencoders: Some Statistical Insights
Anish Chakrabarty, Arkaprabha Basu, Swagatam Das
Variational Autoencoders (VAEs) have been a pioneering force in the realm of deep generative models. Amongst its legions of progenies, Wasserstein Autoencoders (WAEs) stand out in…
COVID-19 Face Mask Recognition with Advanced Face Cut Algorithm for Human Safety Measures
Arkaprabha Basu, Md Firoj Ali
In the last year, the outbreak of COVID-19 has deployed computer vision and machine learning algorithms in various fields to enhance human life interactions. COVID-19 is a highly c…