45 citations · 104 across the 7 of their papers we have counts for
6 papers · 1 filter
VideoClusterNet: Self-Supervised and Adaptive Face Clustering For Videos
Devesh Walawalkar, Pablo Garrido
With the rise of digital media content production, the need for analyzing movies and TV series episodes to locate the main cast of characters precisely is gaining importance.Specif…
Online Ensemble Model Compression using Knowledge Distillation
Devesh Walawalkar, Zhiqiang Shen, Marios Savvides
This paper presents a novel knowledge distillation based model compression framework consisting of a student ensemble. It enables distillation of simultaneously learnt ensemble kno…
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…
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…
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…
Grammatical facial expression recognition using customized deep neural network architecture
Devesh Walawalkar
This paper proposes to expand the visual understanding capacity of computers by helping it recognize human sign language more efficiently. This is carried out through recognition o…