14.2k citations
- National Radio Astronomy ObservatoryUS344 papers
- University of Wisconsin–MilwaukeeUS260 papers
- Goddard Space Flight CenterUS252 papers
- California Institute of TechnologyUS251 papers
- Columbia UniversityUS248 papers
- University of British ColumbiaCA246 papers
- University of Maryland, College ParkUS242 papers
- Max Planck Institute for Radio AstronomyDE229 papers
- University of TorontoCA226 papers
- Centre National de la Recherche ScientifiqueFR225 papers
- Cornell UniversityUS209 papers
- Massachusetts Institute of TechnologyUS209 papers
61 papers · 1 filter
iStructTab: Structured Feature Sequencing for Multimodal Learning of Image and Tabular Data
Al Zadid Sultan Bin Habib, Md Younus Ahamed, Prashnna Gyawali +2
Multimodal learning of images and tabular data is often impaired by ineffective representations, resulting in redundancy, dispersion, and generalization problems. To tackle this ch…
Pediatric Bone Age Prediction Using Deep Learning
Al Zadid Sultan Bin Habib, Md. Ekramul Islam, Md Asif Bin Syed +2
Pediatric bone age prediction is a crucial task in clinical practice that can help diagnose endocrine disorders and provide insight into a child's growth and development. However,…
Spectral and Spatial Graph Learning for Multispectral Solar Image Compression
Prasiddha Siwakoti, Atefeh Khoshkhahtinat, Piyush M. Mehta +3
High-fidelity compression of multispectral solar imagery remains challenging for space missions, where limited bandwidth must be balanced against preserving fine spectral and spati…
FDCT: Frequency-Aware Decomposition and Cross-Modal Token-Alignment for Multi-Sensor Target Classification
Shoaib Meraj Sami, Md Mahedi Hasan, Nasser M. Nasrabadi +1
In automatic target recognition (ATR) systems, sensors may fail to capture discriminative, fine-grained detail features due to environmental conditions, noise created by CMOS chips…
Contrastive Learning and Cycle Consistency-based Transductive Transfer Learning for Target Annotation
Shoaib Meraj Sami, Md Mahedi Hasan, Nasser M. Nasrabadi +1
Annotating automatic target recognition (ATR) is a highly challenging task, primarily due to the unavailability of labeled data in the target domain. Hence, it is essential to cons…
CATFace: Cross-Attribute-Guided Transformer with Self-Attention Distillation for Low-Quality Face Recognition
Niloufar Alipour Talemi, Hossein Kashiani, Nasser M. Nasrabadi
Although face recognition (FR) has achieved great success in recent years, it is still challenging to accurately recognize faces in low-quality images due to the obscured facial de…