44 citations · 79 across the 13 of their papers we have counts for
14 papers
Understanding Dhaka City Traffic Intensity and Traffic Expansion Using Gravity Model
Md Abu Sayed, Md Maksudur Rahman, Moinul Islam Zaber +1
Analysis of traffic pattern recognition and traffic congestion expansion in real time are one of the exciting and challenging tasks which help the government to build a robust and…
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…
A Novel Disaster Image Dataset and Characteristics Analysis using Attention Model
Fahim Faisal Niloy, Arif, Abu Bakar Siddik Nayem +6
The advancement of deep learning technology has enabled us to develop systems that outperform any other classification technique. However, success of any empirical system depends o…
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…
Braille to Text Translation for Bengali Language: A Geometric Approach
Minhas Kamal, Amin Ahsan Ali, Muhammad Asif Hossain Khan +1
Braille is the only system to visually impaired people for reading and writing. However, general people cannot read Braille. So, teachers and relatives find it hard to assist them…
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…
LULC Segmentation of RGB Satellite Image Using FCN-8
Abu Bakar Siddik Nayem, Anis Sarker, Ovi Paul +3
This work presents use of Fully Convolutional Network (FCN-8) for semantic segmentation of high-resolution RGB earth surface satel-lite images into land use land cover (LULC) categ…
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…