44 citations · 81 across the 14 of their papers we have counts for
15 papers
BAPPA: Benchmarking Agents, Plans, and Pipelines for Automated Text-to-SQL Generation
Fahim Ahmed, Md Mubtasim Ahasan, Jahir Sadik Monon +4
Text-to-SQL systems provide a natural language interface that can enable even laymen to access information stored in databases. However, existing Large Language Models (LLM) strugg…
FuseCodec: Semantic-Contextual Fusion and Supervision for Neural Codecs
Md Mubtasim Ahasan, Rafat Hasan Khan, Tasnim Mohiuddin +6
Speech tokenization enables discrete representation and facilitates speech language modeling. However, existing neural codecs capture low-level acoustic features, overlooking the s…
DM-Codec: Distilling Multimodal Representations for Speech Tokenization
Md Mubtasim Ahasan, Md Fahim, Tasnim Mohiuddin +6
Recent advancements in speech-language models have yielded significant improvements in speech tokenization and synthesis. However, effectively mapping the complex, multidimensional…
Automatic Detection of Natural Disaster Effect on Paddy Field from Satellite Images using Deep Learning Techniques
Tahmid Alavi Ishmam, Amin Ahsan Ali, Md Ahsraful Amin +1
This paper aims to detect rice field damage from natural disasters in Bangladesh using high-resolution satellite imagery. The authors developed ground truth data for rice field dam…
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…
LULC classification by semantic segmentation of satellite images using FastFCN
Md. Saif Hassan Onim, Aiman Rafeed Ehtesham, Amreen Anbar +2
This paper analyses how well a Fast Fully Convolutional Network (FastFCN) semantically segments satellite images and thus classifies Land Use/Land Cover(LULC) classes. Fast-FCN was…
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…