Gihan Jayatilaka

Gihan Jayatilaka
University of Maryland, College Park | UMD, UMCP, University of Maryland College Park · Department of Computer Science

Bachelor of Science
CS PhD Student

About

20
Publications
2,693
Reads
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41
Citations
Introduction
Irrespective of whatever the copyright concerns are, I keep a public copy of some version (for which I hold copyrights) of the papers at https://gihan.me/publications.
Additional affiliations
August 2020 - present
University of Peradeniya
Position
  • Research Assistant
Description
  • I work on developing computer vision algorithms for (a) enhancing and interpreting images captured in low light conditions (b) handling issues related to the spread of COVID
Education
November 2015 - July 2020
University of Peradeniya
Field of study
  • Computer Engineering

Publications

Publications (20)
Conference Paper
The paper introduces a novel, holistic approach for robust Screen-Camera Communication (SCC), where video content on a screen is visually encoded in a human-imperceptible fashion and decoded by a camera capturing images of such screen content. We first show that state-of-the-art SCC techniques have two key limitations for in-the-wild deployment: (a...
Article
Full-text available
Social distancing measures are proposed as the primary strategy to curb the spread of the COVID-19 pandemic. Therefore, identifying situations where these protocols are violated has implications for curtailing the spread of the disease and promoting a sustainable lifestyle. This paper proposes a novel computer vision-based system to analyze CCTV fo...
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 paper introduces a novel, holistic approach for robust Screen-Camera Communication (SCC), where video content on a screen is visually encoded in a human-imperceptible fashion and decoded by a camera capturing images of such screen content. We first show that state-of-the-art SCC techniques have two key limitations for in-the-wild deployment: (a...
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...
Article
Full-text available
Background: Nanopore sequencing enables portable, real-time sequencing applications, including point-of-care diagnostics and in-the-field genotyping. Achieving these outcomes requires efficient bioinformatic algorithms for the analysis of raw nanopore signal data. However, comparing raw nanopore signals to a biological reference sequence is a comp...
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
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...
Preprint
Full-text available
Nanopore sequencing has the potential to revolutionise genomics by realising portable, real-time sequencing applications, including point-of-care diagnostics and in-the-field genotyping. Achieving these applications requires efficient bioinformatic algorithms for the analysis of raw nanopore signal data. For instance, comparing raw nanopore signals...
Article
Full-text available
Hyperspectral Imaging (HSI) utilises the reflectance information of a large number of contiguous spectral bands to solve various problems. However, the relative proximity of spectral signatures among classes can be exploited to generate an adaptive hierarchical structure for HSI classification. This enables a level by level optimisation for cluster...

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