1 citations · 2 across the 6 of their papers we have counts for
15 papers
Barlow constrained optimization for Visual Question Answering
Abhishek Jha, Badri N. Patro, Luc Van Gool +1
Visual question answering is a vision-and-language multimodal task, that aims at predicting answers given samples from the question and image modalities. Most recent methods focus…
Collaborative Learning to Generate Audio-Video Jointly
Vinod K Kurmi, Vipul Bajaj, Badri N Patro +3
There have been a number of techniques that have demonstrated the generation of multimedia data for one modality at a time using GANs, such as the ability to generate images, video…
Do Not Forget to Attend to Uncertainty while Mitigating Catastrophic Forgetting
Vinod K Kurmi, Badri N. Patro, Venkatesh K. Subramanian +1
One of the major limitations of deep learning models is that they face catastrophic forgetting in an incremental learning scenario. There have been several approaches proposed to t…
Uncertainty based Class Activation Maps for Visual Question Answering
Badri N. Patro, Mayank Lunayach, Vinay P. Namboodiri
Understanding and explaining deep learning models is an imperative task. Towards this, we propose a method that obtains gradient-based certainty estimates that also provide visual…
Deep Bayesian Network for Visual Question Generation
Badri N. Patro, Vinod K. Kurmi, Sandeep Kumar +1
Generating natural questions from an image is a semantic task that requires using vision and language modalities to learn multimodal representations. Images can have multiple visua…
Robust Explanations for Visual Question Answering
Badri N. Patro, Shivansh Pate, Vinay P. Namboodiri
In this paper, we propose a method to obtain robust explanations for visual question answering(VQA) that correlate well with the answers. Our model explains the answers obtained th…