44 citations · 47 across the 8 of their papers we have counts for
9 papers
Cluster Validation Indices as Self-Supervised Objectives for Text Representation Learning
Kishor Kumar Bhaumik, Nicolas Roque dos Santos, Neil Shah +2
Self-supervised fine-tuning refines the embedding space of a pretrained language encoder without labels. However, the commonly used approaches are computationally expensive. Specif…
JEDI: JEPA-to-Edge Distillation for Efficient Cropland Segmentation from Satellite Imagery
Kishor Kumar Bhaumik, Nicolas Roque dos Santos, Jia Chen +1
Large vision models provide useful representations for remote-sensing segmentation but are often too expensive for deployment at the satellite or field edge. Existing feature-level…
MIXAD: Memory-Induced Explainable Time Series Anomaly Detection
Minha Kim, Kishor Kumar Bhaumik, Amin Ahsan Ali +1
For modern industrial applications, accurately detecting and diagnosing anomalies in multivariate time series data is essential. Despite such need, most state-of-the-art methods of…
SSMT: Few-Shot Traffic Forecasting with Single Source Meta-Transfer
Kishor Kumar Bhaumik, Minha Kim, Fahim Faisal Niloy +2
Traffic forecasting in Intelligent Transportation Systems (ITS) is vital for intelligent traffic prediction. Yet, ITS often relies on data from traffic sensors or vehicle devices,…
Source-Free Online Domain Adaptive Semantic Segmentation of Satellite Images under Image Degradation
Fahim Faisal Niloy, Kishor Kumar Bhaumik, Simon S. Woo
Online adaptation to distribution shifts in satellite image segmentation stands as a crucial yet underexplored problem. In this paper, we address source-free and online domain adap…
HRFNet: High-Resolution Forgery Network for Localizing Satellite Image Manipulation
Fahim Faisal Niloy, Kishor Kumar Bhaumik, Simon S. Woo
Existing high-resolution satellite image forgery localization methods rely on patch-based or downsampling-based training. Both of these training methods have major drawbacks, such…
STLGRU: Spatio-Temporal Lightweight Graph GRU for Traffic Flow Prediction
Kishor Kumar Bhaumik, Fahim Faisal Niloy, Saif Mahmud +1
Reliable forecasting of traffic flow requires efficient modeling of traffic data. Indeed, different correlations and influences arise in a dynamic traffic network, making modeling…
CFL-Net: Image Forgery Localization Using Contrastive Learning
Fahim Faisal Niloy, Kishor Kumar Bhaumik, Simon S. Woo
Conventional forgery localizing methods usually rely on different forgery footprints such as JPEG artifacts, edge inconsistency, camera noise, etc., with cross-entropy loss to loca…
Human Activity Recognition from Wearable Sensor Data Using Self-Attention
Saif Mahmud, M Tanjid Hasan Tonmoy, Kishor Kumar Bhaumik +5
Human Activity Recognition from body-worn sensor data poses an inherent challenge in capturing spatial and temporal dependencies of time-series signals. In this regard, the existin…