311 citations
Counting papers with at most 25 authors, so collaboration author lists do not stand in for the people here.
- Centre National de la Recherche ScientifiqueFR9 papers
- University of ChicagoUS6 papers
- Max Planck Institute for AstrophysicsDE5 papers
- Shahjalal University of Science and TechnologyBD5 papers
- South African Radio Astronomy ObservatoryZA5 papers
- Université Paris CitéFR5 papers
- University of the Western CapeZA5 papers
- Astronomy and SpaceAU4 papers
- Technical University of MunichDE4 papers
- BRAC UniversityBD3 papers
- Carnegie ObservatoriesUS3 papers
- International Centre for Theoretical SciencesIN3 papers
13 papers · 1 filter
Invisible Yet Detected: PelFANet with Attention-Guided Anatomical Fusion for Pelvic Fracture Diagnosis
Siam Tahsin Bhuiyan, Rashedur Rahman, Sefatul Wasi +4
Pelvic fractures pose significant diagnostic challenges, particularly in cases where fracture signs are subtle or invisible on standard radiographs. To address this, we introduce P…
BD Open LULC Map: High-resolution land use land cover mapping & benchmarking for urban development in Dhaka, Bangladesh
Mir Sazzat Hossain, Ovi Paul, Md Akil Raihan Iftee +7
Land Use Land Cover (LULC) mapping using deep learning significantly enhances the reliability of LULC classification, aiding in understanding geography, socioeconomic conditions, p…
BD-SAT: High-resolution Land Use Land Cover Dataset & Benchmark Results for Developing Division: Dhaka, BD
Ovi Paul, Abu Bakar Siddik Nayem, Anis Sarker +3
Land Use Land Cover (LULC) analysis on satellite images using deep learning-based methods is significantly helpful in understanding the geography, socio-economic conditions, povert…
Deep Learning Based Classification System For Recognizing Local Spinach
Mirajul Islam, Nushrat Jahan Ria, Jannatul Ferdous Ani +3
A deep learning model gives an incredible result for image processing by studying from the trained dataset. Spinach is a leaf vegetable that contains vitamins and nutrients. In our…
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…
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…
A Large Multi-Target Dataset of Common Bengali Handwritten Graphemes
Samiul Alam, Tahsin Reasat, Asif Shahriyar Sushmit +4
Latin has historically led the state-of-the-art in handwritten optical character recognition (OCR) research. Adapting existing systems from Latin to alpha-syllabary languages is pa…
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…
Image Pre-processing on NumtaDB for Bengali Handwritten Digit Recognition
Ovi Paul
NumtaDB is by far the largest data-set collection for handwritten digits in Bengali. This is a diverse dataset containing more than 85000 images. But this diversity also makes this…
Total Recall: Understanding Traffic Signs using Deep Hierarchical Convolutional Neural Networks
Sourajit Saha, Sharif Amit Kamran, Ali Shihab Sabbir
Recognizing Traffic Signs using intelligent systems can drastically reduce the number of accidents happening world-wide. With the arrival of Self-driving cars it has become a stapl…
Efficient Yet Deep Convolutional Neural Networks for Semantic Segmentation
Sharif Amit Kamran, Ali Shihab Sabbir
Semantic Segmentation using deep convolutional neural network pose more complex challenge for any GPU intensive task. As it has to compute million of parameters, it results to huge…