Search Results - "Chaminda Bandara, Wele Gedara"

Hyperspectral Pansharpening Based on Improved Deep Image Prior and Residual Reconstruction by Bandara, Wele Gedara Chaminda, Valanarasu, Jeya Maria Jose, Patel, Vishal M.

“…Hyperspectral pansharpening aims to synthesize a low-resolution hyperspectral image (LR-HSI) with a registered panchromatic (PAN) image to generate an enhanced…”
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A complete state estimation algorithm for a three-phase four-wire low voltage distribution system with high penetration of solar PV by Chaminda Bandara, Wele Gedara, Almeida, Dilini, Godaliyadda, Roshan Indika, Ekanayake, Mervyn Parakrama, Ekanayake, Janaka

“…[Display omitted] •Representation for three-phase four-wire LV feeder line.•Novel reduction technique to 4 × 4 admittance matrix.•LV Linear State Estimation to…”
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SAR Despeckling using a Denoising Diffusion Probabilistic Model by Perera, Malsha V., Nair, Nithin Gopalakrishnan, Bandara, Wele Gedara Chaminda, Patel, Vishal M.

“…Speckle is a type of multiplicative noise that affects all coherent imaging modalities including Synthetic Aperture Radar (SAR) images. The presence of speckle…”
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Validation of multispectral imaging for the detection of selected adulterants in turmeric samples by Chaminda Bandara, Wele Gedara, Kasun Prabhath, Gode Withanage, Sahan Chinthana Bandara Dissanayake, Dissanayake Walawwe, Herath, Vijitha Rohana, Roshan Indika Godaliyadda, Gunawath Mudiyanselage, Bandara Ekanayake, Mervyn Parakrama, Demini, Dhanushika, Madhujith, Terrence

“…Turmeric (Curcuma longa), is a popular spice in traditional cuisine and now is globally available. As in the case of many widespread spices, turmeric powder is…”
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Unite and Conquer: Plug & Play Multi-Modal Synthesis Using Diffusion Models by Nair, Nithin Gopalakrishnan, Bandara, Wele Gedara Chaminda, Patel, Vishal M.

“…Generating photos satisfying multiple constraints finds broad utility in the content creation industry. A key hurdle to accomplishing this task is the need for…”
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AdaMAE: Adaptive Masking for Efficient Spatiotemporal Learning with Masked Autoencoders by Bandara, Wele Gedara Chaminda, Patel, Naman, Gholami, Ali, Nikkhah, Mehdi, Agrawal, Motilal, Patel, Vishal M.

“…Masked Autoencoders (MAEs) learn generalizable representations for image, text, audio, video, etc., by reconstructing masked input data from tokens of the…”
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Attention Prompt Tuning: Parameter-efficient Adaptation of Pre-trained Models for Action Recognition by Bandara, Wele Gedara Chaminda, Patel, Vishal M.

“…In this paper, we introduce Attention Prompt Tuning (APT) - a computationally efficient variant of prompt tuning for video-based applications such as action…”
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HyperTransformer: A Textural and Spectral Feature Fusion Transformer for Pansharpening by Bandara, Wele Gedara Chaminda, Patel, Vishal M.

“…Pansharpening aims to fuse a registered high-resolution panchromatic image (PAN) with a low-resolution hyper-spectral image (LR-HSI) to generate an enhanced…”
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SAR Despeckling using a Denoising Diffusion Probabilistic Model by Perera, Malsha V, Nair, Nithin Gopalakrishnan, Bandara, Wele Gedara Chaminda, Patel, Vishal M

“…Speckle is a multiplicative noise which affects all coherent imaging modalities including Synthetic Aperture Radar (SAR) images. The presence of speckle…”
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A Transformer-Based Siamese Network for Change Detection by Bandara, Wele Gedara Chaminda, Patel, Vishal M.

“…This paper presents a transformer-based Siamese network architecture (abbreviated by ChangeFormer) for Change Detection (CD) from a pair of co-registered…”
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Quantitative assessment of adulteration of coconut oil using transmittance multispectral imaging by Herath, Sanjaya, Weerasooriya, Hashan Kavinga, Ranasinghe, Don Yasiru Lakshan, Bandara, Wele Gedara Chaminda, Herath, Vijitha Rohana, Godaliyadda, Roshan Indika, Ekanayake, Mervyn Parakrama Bandara, Madhujith, Terrence

“…Economical to a fault, coconut oil is a commodity related to fraudulent activities such as oil adulteration for undue profits. Unfortunately, the conventional…”
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Attention Prompt Tuning: Parameter-efficient Adaptation of Pre-trained Models for Spatiotemporal Modeling by Bandara, Wele Gedara Chaminda, Patel, Vishal M

“…In this paper, we introduce Attention Prompt Tuning (APT) - a computationally efficient variant of prompt tuning for video-based applications such as action…”
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Deep Metric Learning for Unsupervised Remote Sensing Change Detection by Bandara, Wele Gedara Chaminda, Patel, Vishal M

“…Remote Sensing Change Detection (RS-CD) aims to detect relevant changes from Multi-Temporal Remote Sensing Images (MT-RSIs), which aids in various RS…”
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Revisiting Consistency Regularization for Semi-supervised Change Detection in Remote Sensing Images by Bandara, Wele Gedara Chaminda, Patel, Vishal M

“…Remote-sensing (RS) Change Detection (CD) aims to detect "changes of interest" from co-registered bi-temporal images. The performance of existing deep…”
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HyperTransformer: A Textural and Spectral Feature Fusion Transformer for Pansharpening by Bandara, Wele Gedara Chaminda, Patel, Vishal M

“…Pansharpening aims to fuse a registered high-resolution panchromatic image (PAN) with a low-resolution hyperspectral image (LR-HSI) to generate an enhanced HSI…”
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A Transformer-Based Siamese Network for Change Detection by Bandara, Wele Gedara Chaminda, Patel, Vishal M

“…This paper presents a transformer-based Siamese network architecture (abbreviated by ChangeFormer) for Change Detection (CD) from a pair of co-registered…”
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SPIN Road Mapper: Extracting Roads from Aerial Images via Spatial and Interaction Space Graph Reasoning for Autonomous Driving by Bandara, Wele Gedara Chaminda, Valanarasu, Jeya Maria Jose, Patel, Vishal M.

“…Road extraction is an essential step in building autonomous navigation systems. Detecting road segments is challenging as they are of varying widths,…”
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Unite and Conquer: Plug & Play Multi-Modal Synthesis using Diffusion Models by Nair, Nithin Gopalakrishnan, Bandara, Wele Gedara Chaminda, Patel, Vishal M

“…Generating photos satisfying multiple constraints find broad utility in the content creation industry. A key hurdle to accomplishing this task is the need for…”
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CrowdDiff: Multi-Hypothesis Crowd Density Estimation Using Diffusion Models by Ranasinghe, Yasiru, Nair, Nithin Gopalakrishnan, Bandara, Wele Gedara Chaminda, Patel, Vishal M.

“…Crowd counting is a fundamental problem in crowd analysis which is typically accomplished by estimating a crowd density map and summing over the density…”
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DDPM-CD: Denoising Diffusion Probabilistic Models as Feature Extractors for Change Detection by Bandara, Wele Gedara Chaminda, Nair, Nithin Gopalakrishnan, Patel, Vishal M

“…Remote sensing change detection is crucial for understanding the dynamics of our planet's surface, facilitating the monitoring of environmental changes,…”
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