Sabari Nathan
A5045335695- Advanced Image Processing Techniques
- Image Enhancement Techniques
- Image and Signal Denoising Methods
- AI in cancer detection
- Advanced Vision and Imaging
- Advanced Neural Network Applications
- Advanced Image Fusion Techniques
- Vehicle License Plate Recognition
- Retinal Imaging and Analysis
- Radiomics and Machine Learning in Medical Imaging
- Video Surveillance and Tracking Methods
- Digital Imaging for Blood Diseases
- Generative Adversarial Networks and Image Synthesis
- Glaucoma and retinal disorders
- Forensic Anthropology and Bioarchaeology Studies
- Image and Video Quality Assessment
- Image Processing Techniques and Applications
- Color Science and Applications
- Image and Object Detection Techniques
- Gaze Tracking and Assistive Technology
- Infrared Target Detection Methodologies
- Human Pose and Action Recognition
- Remote Sensing and LiDAR Applications
- Spectroscopy and Chemometric Analyses
- Colorectal Cancer Screening and Detection
Shibuya (Japan)
2020-2024
Computer Vision Center
2021
Centre de Recerca Matemàtica
2021
Escuela Superior Politecnica del Litoral
2020
York University
2020
Cognizant (India)
2019
Generalized nucleus segmentation techniques can contribute greatly to reducing the time develop and validate visual biomarkers for new digital pathology datasets. We summarize results of MoNuSeg 2018 Challenge whose objective was generalizable nuclei in pathology. The challenge an official satellite event MICCAI conference which 32 teams with more than 80 participants from geographically diverse institutes participated. Contestants were given a training set 30 images seven organs annotations...
This paper reviews the NTIRE 2020 challenge on real image denoising with focus newly introduced dataset, proposed methods and their results. The is a new version of previous 2019 that was based SIDD benchmark. collected validation testing datasets, hence, named SIDD+. has two tracks for quantitatively evaluating performance in (1) Bayer-pattern rawRGB (2) standard RGB (sRGB) color spaces. Each track ~250 registered participants. A total 22 teams, proposing 24 methods, competed final phase...
This work reviews the results of NTIRE 2023 Challenge on Image Shadow Removal. The described set solutions were proposed for a novel dataset, which captures wide range object-light interactions. It consists 1200 roughly pixel aligned pairs real shadow free and affected images, captured in controlled environment. data was white-box setup, using professional equipment lights acquisition sensors. challenge had number 144 participants registered, out 19 teams compared final ranking. extend...
Image relighting is attracting increasing interest due to its various applications. From a research perspective, im-age can be exploited conduct both image normalization for domain adaptation, and also data augmentation. It has multiple direct uses photo montage aesthetic enhancement. In this paper, we review the NTIRE 2021 depth guided challenge.We rely on VIDIT dataset each of our two challenge tracks, including information. The first track one-to-one where goal transform illumination...
This paper presents results from the second Thermal Image Super-Resolution (TISR) challenge organized in framework of Perception Beyond Visible Spectrum (PBVS) 2021 workshop. For this edition, same thermal image dataset considered during first has been used; only mid-resolution (MR) and high-resolution (HR) sets have considered. The consists 951 training images 50 testing for each resolution. A set 20 resolution is kept aside evaluation. two evaluation methodologies proposed are also...
Formulae display:?Mathematical formulae have been encoded as MathML and are displayed in this HTML version using MathJax order to improve their display. Uncheck the box turn off. This feature requires Javascript. Click on a formula zoom.
This paper reviews the Challenge on Image Demoireing that was part of New Trends in Restoration and Enhancement (NTIRE) workshop, held conjunction with CVPR 2020. is a difficult task removing moire patterns from an image to reveal underlying clean image. The challenge divided into two tracks. Track 1 targeted single demoireing problem, which seeks remove 2 focused burst where set degraded images same scene were provided as input, goal producing demoired output. methods ranked terms their...
This paper provides a review of the NTIRE 2021 challenge targeting defocus deblurring using dual-pixel (DP) data. The goal this single-track was to reduce spatially varying blur present in images captured with shallow depth field. used were obtained DP sensor that provided pair views per image. Submitted solutions evaluated conventional signal processing metrics, namely peak signal-to-noise ratio (PSNR) and structural similarity index measure (SSIM). Out 185 registered participants, nine...
Abstract Kolkata, renowned as the City of Joy, boasts a rich tapestry cultural heritage spanning centuries. Despite significance its architectural marvels, accessing comprehensive visual documentation Kolkata's sites remains challenge. In online searches, limited imagery often fails to provide detailed understanding these historical landmarks. To address this gap, paper introduces MonuNet, high-performance deep-learning network specifically designed for classification images from Kolkata....
With the immersive development in field of augmented and virtual reality, accurate speedy eye-tracking is required. Facebook Research has organized a challenge, named OpenEDS Semantic Segmentation challenge for per-pixel segmentation key eye regions: sclera, iris, pupil, everything else (background). There are two constraints set participants viz MIOU computational complexity model. More recently, researchers have achieved quite good result using convolutional neural networks (CNN)...
The paper presents a summary of the 2020 Sclera Segmentation Benchmarking Competition (SSBC), 7th in series group benchmarking efforts centred around problem sclera segmentation. Different from previous editions, goal SSBC was to evaluate performance sclera-segmentation models on images captured with mobile devices. competition used as platform assess sensitivity existing i) differences devices for image capture and ii) changes ambient acquisition conditions. 26 research groups registered...
Deep Learning for Geometric Shape Understating has organized a challenge extracting different kinds of skeletons from the images objects. This competition is in association with CVPR 2019. There are three tracks this competition. The present manuscript describes method used to train model dataset provided first track. track aims extract skeleton pixels shape 89 For purpose skeleton, U-net which comprised an encoder-decoder structure been used. In our proposed architecture, unlike plain...
This paper proposes a novel architecture for thermal image super-resolution. A very large dataset is provided by PBVS 2020 in their super-resolution challenge. contains the images with three different resolution scales(low, medium, high) [1]. used to train proposed generate x2, x3, x4 scales. The based on residual blocks as base units of network. Along this, coordinate convolution layer and convolutional block attention Module (CBAM) are also architecture. Further, multi-level supervision...
This paper summarizes the top contributions to first challenge on thermal image super-resolution (TISR), which was organized as part of Perception Beyond Visible Spectrum (PBVS) 2020 workshop. In this challenge, a novel dataset is considered together with state- of-the-art approaches evaluated under common framework. The used in consists 1021 images, obtained from three distinct cameras at different resolutions (low-resolution, mid-resolution, and high-resolution), resulting total 3063...
Developing and integrating advanced image sensors with novel algorithms in camera systems are prevalent the increasing demand for computational photography imaging on mobile platforms. However, lack of high-quality data research rare opportunity in-depth exchange views from industry academia constrain development intelligent (MIPI). With success 1st MIPI Workshop@ECCV 2022, we introduce second challenge including four tracks focusing algorithms. In this paper, summarize review Nighttime...
Abstract Medical science is a challenging area for various problems associated with health care and there always exists scope continuous medical research. The major challenges in imaging are the region of lesion, segmentation classification tumours brain. Several technical challenge due to variation tumour size, shape, texture information location. There need automatic identification high‐grade glioma (HGG) lower‐grade (LGG). management grade brain depend on depth tumour. Due its irregular...
BACKGROUND: Osteoporosis, a silent killing disease of fracture risk, is normally determined based on the bone mineral density (BMD) and T-score values measured in bone. However, development standard algorithms for accurate segmentation BMD measurement from X-ray images challenge medical field. OBJECTIVE: The purpose this work to more accurately measure images, which can overcome limitations current technique using Dual Energy Absorptiometry (DEXA) such as non-availability inaccessibility...