37 citations · 72 across the 4 of their papers we have counts for
4 papers
Generalized Zero-Shot Learning using Multimodal Variational Auto-Encoder with Semantic Concepts
Nihar Bendre, Kevin Desai, Peyman Najafirad
With the ever-increasing amount of data, the central challenge in multimodal learning involves limitations of labelled samples. For the task of classification, techniques such as m…
Show Why the Answer is Correct! Towards Explainable AI using Compositional Temporal Attention
Nihar Bendre, Kevin Desai, Peyman Najafirad
Visual Question Answering (VQA) models have achieved significant success in recent times. Despite the success of VQA models, they are mostly black-box models providing no reasoning…
Learning from Few Samples: A Survey
Nihar Bendre, Hugo Terashima Marín, Peyman Najafirad
Deep neural networks have been able to outperform humans in some cases like image recognition and image classification. However, with the emergence of various novel categories, the…
Human Action Performance using Deep Neuro-Fuzzy Recurrent Attention Model
Nihar Bendre, Nima Ebadi, John J Prevost +1
A great number of computer vision publications have focused on distinguishing between human action recognition and classification rather than the intensity of actions performed. In…