Suren Sritharan

Suren Sritharan
University of Peradeniya | UOP

About

18
Publications
1,706
Reads
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13
Citations
Education
January 2016 - July 2020
University of Peradeniya
Field of study
  • Computer Engineering

Publications

Publications (18)
Preprint
Full-text available
The COVID-19 pandemic has caused an unprecedented global public health crisis. Given its inherent nature, social distancing measures are proposed as the primary strategies to curb the spread of this pandemic. Therefore, identifying situations where these protocols are violated, has implications for curtailing the spread of the disease and promoting...
Conference Paper
The COVID-19 outbreak has affected millions of people across the globe and is continuing to spread at a drastic scale. Out of the numerous steps taken to control the spread of the virus, social distancing has been a crucial and effective practice. However, recent reports of social distancing violations suggest the need for non-intrusive detection t...
Preprint
Full-text available
The COVID-19 outbreak has affected millions of people across the globe and is continuing to spread at a drastic scale. Out of the numerous steps taken to control the spread of the virus, social distancing has been a crucial and effective practice. However, recent reports of social distancing violations suggest the need for non-intrusive detection t...
Preprint
Full-text available
COVID-19 continues to cause a significant impact on public health. To minimize this impact, policy makers undertake containment measures that however, when carried out disproportionately to the actual threat, as a result if errorneous threat assessment, cause undesirable long-term socio-economic complications. In addition, macro-level or national l...
Preprint
Full-text available
The spread of the global COVID-19 pandemic affected Sri Lanka similar to how it affected other countries across the globe. The Sri Lankan government took many preventive measures to suppress the pandemic spread. To aid policy makers in taking these preventive measures, we propose a novel district-wise clustering based approach. Using freely availab...
Preprint
Intrinsic Image Decomposition is an open problem of generating the constituents of an image. Generating reflectance and shading from a single image is a challenging task specifically when there is no ground truth. There is a lack of un-supervised learning approaches for decomposing an image into reflectance and shading using a single image. We prop...
Preprint
Full-text available
The COVID-19 pandemic, within a short time span, has had a significant impact on every aspect of life in almost every country on the planet. As it evolved from a local epidemic isolated to certain regions of China, to the deadliest pandemic since the influenza outbreak of 1918, scientists all over the world have only amplified their efforts to comb...
Thesis
Full-text available
Images taken in low light condition suffer from poor aesthetics and result in degraded performance for vision-based algorithms which are primarily designed for high-quality images. Therefore, Low light image enhancement is an important task in making computer vision algorithms work robustly under different environmental conditions. Through our stud...
Preprint
Full-text available
Low light image enhancement is an important challenge for the development of robust computer vision algorithms. The machine learning approaches to this have been either unsupervised, supervised based on paired dataset or supervised based on unpaired dataset. This paper presents a novel deep learning pipeline that can learn from both paired and unpa...
Preprint
Full-text available
Low light image enhancement is an important challenge for the development of robust computer vision algorithms. The machine learning approaches to this have been either unsupervised, supervised based on paired dataset or supervised based on unpaired dataset. This paper presents a novel deep learning pipeline that can learn from both paired and unpa...
Preprint
Full-text available
Foreground estimation through background subtraction is used to identify the region of interest in a video sequence, and is incorporated in many algorithmic pipelines as a preprocessing step. Foreground estimation plays an important role in a wide range of computer vision and image processing applications such as video surveillance, object detectio...
Preprint
This paper studies practical limitations of learning methods for resource management in non-stationary radio environment. We propose two learning models carefully designed to support rate maximization objective under user mobility. We study the effects of practical systems such as latency and reliability on the rate maximization with deep learning...
Article
Full-text available
The fifth generation (5G) of wireless communications has led to many advancements in technologies such as large and distributed antenna arrays, ultra-dense networks, software-based networks and network virtualization. However, the need for a higher level of automation to establish hyper-low latency, and hyper-high reliability for beyond 5G applicat...
Preprint
Full-text available
Sleep apnea is a breathing disorder where a person repeatedly stops breathing in sleep. Early detection is crucial for infants because it might bring long term adversities. The existing accurate detection mechanism (pulse oximetry) is a skin contact measurement. The existing non-contact mechanisms (acoustics, video processing) are not accurate enou...

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