44 citations · 68 across the 11 of their papers we have counts for
12 papers
Morphological Classification of Radio Galaxies using Semi-Supervised Group Equivariant CNNs
Mir Sazzat Hossain, Sugandha Roy, K. M. B. Asad +4
Out of the estimated few trillion galaxies, only around a million have been detected through radio frequencies, and only a tiny fraction, approximately a thousand, have been manual…
Deep Dive into Semi-Supervised ELBO for Improving Classification Performance
Fahim Faisal Niloy, M. Ashraful Amin, AKM Mahbubur Rahman +1
Decomposition of the evidence lower bound (ELBO) objective of VAE used for density estimation revealed the deficiency of VAE for representation learning and suggested ways to impro…
Attention Toward Neighbors: A Context Aware Framework for High Resolution Image Segmentation
Fahim Faisal Niloy, M. Ashraful Amin, Amin Ahsan Ali +1
High-resolution image segmentation remains challenging and error-prone due to the enormous size of intermediate feature maps. Conventional methods avoid this problem by using patch…
Unified Spatio-Temporal Modeling for Traffic Forecasting using Graph Neural Network
Amit Roy, Kashob Kumar Roy, Amin Ahsan Ali +2
Research in deep learning models to forecast traffic intensities has gained great attention in recent years due to their capability to capture the complex spatio-temporal relations…
Node Embedding using Mutual Information and Self-Supervision based Bi-level Aggregation
Kashob Kumar Roy, Amit Roy, A K M Mahbubur Rahman +2
Graph Neural Networks (GNNs) learn low dimensional representations of nodes by aggregating information from their neighborhood in graphs. However, traditional GNNs suffer from two…
Structure-Aware Hierarchical Graph Pooling using Information Bottleneck
Kashob Kumar Roy, Amit Roy, A K M Mahbubur Rahman +2
Graph pooling is an essential ingredient of Graph Neural Networks (GNNs) in graph classification and regression tasks. For these tasks, different pooling strategies have been propo…
SST-GNN: Simplified Spatio-temporal Traffic forecasting model using Graph Neural Network
Amit Roy, Kashob Kumar Roy, Amin Ahsan Ali +2
To capture spatial relationships and temporal dynamics in traffic data, spatio-temporal models for traffic forecasting have drawn significant attention in recent years. Most of the…
Hierarchical Self Attention Based Autoencoder for Open-Set Human Activity Recognition
M Tanjid Hasan Tonmoy, Saif Mahmud, A K M Mahbubur Rahman +2
Wearable sensor based human activity recognition is a challenging problem due to difficulty in modeling spatial and temporal dependencies of sensor signals. Recognition models in c…
Deep-learning coupled with novel classification method to classify the urban environment of the developing world
Qianwei Cheng, AKM Mahbubur Rahman, Anis Sarker +6
Rapid globalization and the interdependence of humanity that engender tremendous in-flow of human migration towards the urban spaces. With advent of high definition satellite image…
Modeling Traffic Congestion in Developing Countries using Google Maps Data
Md. Aktaruzzaman Pramanik, Md Mahbubur Rahman, ASM Iftekhar Anam +3
Traffic congestion research is on the rise, thanks to urbanization, economic growth, and industrialization. Developed countries invest a lot of research money in collecting traffic…
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…
Rapid Feature Extraction for Optical Character Recognition
M. Zahid Hossain, M. Ashraful Amin, Hong Yan
Feature extraction is one of the fundamental problems of character recognition. The performance of character recognition system is depends on proper feature extraction and correct…