1 citations · 1 across the 3 of their papers we have counts for
3 papers
cs.CV2024
Autoregressive Adaptive Hypergraph Transformer for Skeleton-based Activity Recognition
Abhisek Ray, Ayush Raj, Maheshkumar H. Kolekar
Extracting multiscale contextual information and higher-order correlations among skeleton sequences using Graph Convolutional Networks (GCNs) alone is inadequate for effective acti…
eess.IV2024★ 1 cited
CFAT: Unleashing TriangularWindows for Image Super-resolution
Abhisek Ray, Gaurav Kumar, Maheshkumar H. Kolekar
Transformer-based models have revolutionized the field of image super-resolution (SR) by harnessing their inherent ability to capture complex contextual features. The overlapping r…
cs.CV2020
Visual Interest Prediction with Attentive Multi-Task Transfer Learning
Deepanway Ghosal, Maheshkumar H. Kolekar
Visual interest & affect prediction is a very interesting area of research in the area of computer vision. In this paper, we propose a transfer learning and attention mechanism bas…