4 citations · 5 across the 5 of their papers we have counts for
6 papers
MEVL-STP: Multi-Encoder and Vision Language Model for Arbitrarily Shaped Scene Text Spotting
Aman Anand, Partha Pratim Roy, Shivakumara Palaiahnakote
Scene text spotting remains challenging for arbitrarily shaped text instances such as curved signs and dense multi-oriented characters in natural images, where tightly coupled arch…
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…
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…
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…
SDA-GRIN for Adaptive Spatial-Temporal Multivariate Time Series Imputation
Amir Eskandari, Aman Anand, Drishti Sharma +1
In various applications, the multivariate time series often suffers from missing data. This issue can significantly disrupt systems that rely on the data. Spatial and temporal depe…
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…