activity
20182026
most citedAn effective clustering method based on data indeterminacy in neutrosophic set domain

26 citations · 57 across the 9 of their papers we have counts for

collaborators

11 papers

cs.CV2026

ASMa: Asymmetric Spatio-temporal Masking for Skeleton Action Representation Learning

Aman Anand, Amir Eskandari, Elyas Rahsno +1

Self-supervised learning (SSL) has shown remarkable success in skeleton-based action recognition by leveraging data augmentations to learn meaningful representations. However, exis…

cs.LG2026

InfGraND: An Influence-Guided GNN-to-MLP Knowledge Distillation

Amir Eskandari, Aman Anand, Elyas Rashno +1

Graph Neural Networks (GNNs) are the go-to model for graph data analysis. However, GNNs rely on two key operations - aggregation and update, which can pose challenges for low-laten…

cs.SE2025

Building an Open AIBOM Standard in the Wild

Gopi Krishnan Rajbahadur, Keheliya Gallaba, Elyas Rashno +4

Modern software engineering increasingly relies on open, community-driven standards, yet how such standards are created in fast-evolving domains like AI-powered systems remains und…

cs.CV2024

Depth-Guided Self-Supervised Human Keypoint Detection via Cross-Modal Distillation

Aman Anand, Elyas Rashno, Amir Eskandari +1

Existing unsupervised keypoint detection methods apply artificial deformations to images such as masking a significant portion of images and using reconstruction of original image…

eess.IV2024★ 4 cited

Survey: Transformer-based Models in Data Modality Conversion

Elyas Rashno, Amir Eskandari, Aman Anand +1

Transformers have made significant strides across various artificial intelligence domains, including natural language processing, computer vision, and audio processing. This succes…

eess.IV2019

Fluid segmentation in Neutrosophic domain

Elyas Rashno, Abdolreza Rashno, Sadegh Fadaei

Optical coherence tomography (OCT) as retina imaging technology is currently used by ophthalmologist as a non-invasive and non-contact method for diagnosis of agerelated degenerati…