45 citations · 104 across the 7 of their papers we have counts for
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cs.CV2018
An Empirical Analysis of Deep Audio-Visual Models for Speech Recognition
Devesh Walawalkar, Yihui He, Rohit Pillai
In this project, we worked on speech recognition, specifically predicting individual words based on both the video frames and audio. Empowered by convolutional neural networks, the…
cs.CV2018★ 17 cited
MedAL: Deep Active Learning Sampling Method for Medical Image Analysis
Asim Smailagic, Hae Young Noh, Pedro Costa +6
Deep learning models have been successfully used in medical image analysis problems but they require a large amount of labeled images to obtain good performance.Deep learning model…
cs.CV2018★ 1 cited
A fully automated framework for lung tumour detection, segmentation and analysis
Devesh Walawalkar
Early and correct diagnosis is a very important aspect of cancer treatment. Detection of tumour in Computed Tomography scan is a tedious and tricky task which requires expert knowl…