21 citations · 39 across the 11 of their papers we have counts for
15 papers
Rate-Distortion Modeling for Bit Rate Constrained Point Cloud Compression
Pan Gao, Shengzhou Luo, Manoranjan Paul
As being one of the main representation formats of 3D real world and well-suited for virtual reality and augmented reality applications, point clouds have gained a lot of popularit…
Analysis and prediction of heart stroke from ejection fraction and serum creatinine using LSTM deep learning approach
Md Ershadul Haque, Salah Uddin, Md Ariful Islam +3
The combination of big data and deep learning is a world-shattering technology that can greatly impact any objective if used properly. With the availability of a large volume of he…
Dynamic Point Cloud Compression with Cross-Sectional Approach
Faranak Tohidi, Manoranjan Paul, Anwaar Ulhaq
The recent development of dynamic point clouds has introduced the possibility of mimicking natural reality, and greatly assisting quality of life. However, to broadcast successfull…
Dilated convolutional neural network-based deep reference picture generation for video compression
Haoyue Tian, Pan Gao, Ran Wei +1
Motion estimation and motion compensation are indispensable parts of inter prediction in video coding. Since the motion vector of objects is mostly in fractional pixel units, origi…
Debiasing pipeline improves deep learning model generalization for X-ray based lung nodule detection
Michael Horry, Subrata Chakraborty, Biswajeet Pradhan +5
Lung cancer is the leading cause of cancer death worldwide and a good prognosis depends on early diagnosis. Unfortunately, screening programs for the early diagnosis of lung cancer…
Systematic investigation into generalization of COVID-19 CT deep learning models with Gabor ensemble for lung involvement scoring
Michael J. Horry, Subrata Chakraborty, Biswajeet Pradhan +3
The COVID-19 pandemic has inspired unprecedented data collection and computer vision modelling efforts worldwide, focusing on diagnosis and stratification of COVID-19 from medical…