67 citations · 67 across the 3 of their papers we have counts for
3 papers
Training a Custom CNN on Five Heterogeneous Image Datasets
Anika Tabassum, Tasnuva Mahazabin Tuba, Nafisa Naznin
Deep learning has transformed visual data analysis, with Convolutional Neural Networks (CNNs) becoming highly effective in learning meaningful feature representations directly from…
Reinforcement Learning as a Parsimonious Alternative to Prediction Cascades: A Case Study on Image Segmentation
Bharat Srikishan, Anika Tabassum, Srikanth Allu +2
Deep learning architectures have achieved state-of-the-art (SOTA) performance on computer vision tasks such as object detection and image segmentation. This may be attributed to th…
Super-resolution image display using diffractive decoders
Cagatay Isil, Deniz Mengu, Yifan Zhao +5
High-resolution synthesis/projection of images over a large field-of-view (FOV) is hindered by the restricted space-bandwidth-product (SBP) of wavefront modulators. We report a dee…