activity
20222026
collaborators

7 papers

stat.AP2026

GeoDose-CP: Graph-Local Conformal Inference for Continuous-Treatment Earth Observation

Md Khalid Hasan Sakib, Dristi Datta, Manoranjan Paul +1

Reliable intervention-oriented uncertainty quantification from Earth observation (EO) remains challenging when continuous treatment shifts, spatial dependence, limited support, and…

cs.LG2026

Calibrated Tree-Neural Fusion for Fine-Grained Vegetation Community Classification

Dristi Datta, Md Khalid Hasan Sakib, Manoranjan Paul

Accurate vegetation-community classification is essential for ecological monitoring, habitat assessment, and evidence-based environmental management in heterogeneous landscapes. Ex…

cs.CV2026

FAIR: Feature-Augmented Implicit Regularization for AI-generated Fake Image Detection

Md Redwanul Haque, Manzur Murshed, Manoranjan Paul +1

Generalization remains a critical bottleneck in AI-generated image detection. Because many modern generators are proprietary or adversarially modified, existing detectors overfit t…

cs.CV2025

A Novel Image Similarity Metric for Scene Composition Structure

Md Redwanul Haque, Manzur Murshed, Manoranjan Paul +1

The rapid advancement of generative AI models necessitates novel methods for evaluating image quality that extend beyond human perception. A critical concern for these models is th…

eess.IV2025

ReflectGAN: Modeling Vegetation Effects for Soil Carbon Estimation from Satellite Imagery

Dristi Datta, Manoranjan Paul, Manzur Murshed +2

Soil organic carbon (SOC) is a critical indicator of soil health, but its accurate estimation from satellite imagery is hindered in vegetated regions due to spectral contamination…

cs.LG2024

FSDR: A Novel Deep Learning-based Feature Selection Algorithm for Pseudo Time-Series Data using Discrete Relaxation

Mohammad Rahman, Manzur Murshed, Shyh Wei Teng +1

Conventional feature selection algorithms applied to Pseudo Time-Series (PTS) data, which consists of observations arranged in sequential order without adhering to a conventional t…

cs.CV2022

A new way of video compression via forward-referencing using deep learning

S. M. A. K. Rajin, M. Murshed, M. Paul +2

To exploit high temporal correlations in video frames of the same scene, the current frame is predicted from the already-encoded reference frames using block-based motion estimatio…