Wele Gedara Chaminda Bandara

Orcid: 0000-0003-2516-2930

According to our database1, Wele Gedara Chaminda Bandara authored at least 25 papers between 2019 and 2024.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

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Bibliography

2024
Iso-Diffusion: Improving Diffusion Probabilistic Models Using the Isotropy of the Additive Gaussian Noise.
CoRR, 2024

Attention Prompt Tuning: Parameter-efficient Adaptation of Pre-trained Models for Spatiotemporal Modeling.
CoRR, 2024

Attention Prompt Tuning: Parameter-efficient Adaptation of Pre-trained Models for Action Recognition.
Proceedings of the 18th IEEE International Conference on Automatic Face and Gesture Recognition, 2024

CrowdDiff: Multi-Hypothesis Crowd Density Estimation Using Diffusion Models.
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2024

2023
SAR Despeckling Using a Denoising Diffusion Probabilistic Model.
IEEE Geosci. Remote. Sens. Lett., 2023

Guarding Barlow Twins Against Overfitting with Mixed Samples.
CoRR, 2023

Diffuse-Denoise-Count: Accurate Crowd-Counting with Diffusion Models.
CoRR, 2023

Deep Metric Learning for Unsupervised Remote Sensing Change Detection.
CoRR, 2023

Unite and Conquer: Plug & Play Multi-Modal Synthesis Using Diffusion Models.
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2023

AdaMAE: Adaptive Masking for Efficient Spatiotemporal Learning with Masked Autoencoders.
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2023

2022
Hyperspectral Pansharpening Based on Improved Deep Image Prior and Residual Reconstruction.
IEEE Trans. Geosci. Remote. Sens., 2022

Unite and Conquer: Cross Dataset Multimodal Synthesis using Diffusion Models.
CoRR, 2022

DDPM-CD: Remote Sensing Change Detection using Denoising Diffusion Probabilistic Models.
CoRR, 2022

Image Generation with Multimodal Priors using Denoising Diffusion Probabilistic Models.
CoRR, 2022

Revisiting Consistency Regularization for Semi-supervised Change Detection in Remote Sensing Images.
CoRR, 2022

Orientation-Guided Graph Convolutional Network for Bone Surface Segmentation.
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2022, 2022

Transformer-Based SAR Image Despeckling.
Proceedings of the IEEE International Geoscience and Remote Sensing Symposium, 2022

SAR Despeckling Using Overcomplete Convolutional Networks.
Proceedings of the IEEE International Geoscience and Remote Sensing Symposium, 2022

A Transformer-Based Siamese Network for Change Detection.
Proceedings of the IEEE International Geoscience and Remote Sensing Symposium, 2022

SPIN Road Mapper: Extracting Roads from Aerial Images via Spatial and Interaction Space Graph Reasoning for Autonomous Driving.
Proceedings of the 2022 International Conference on Robotics and Automation, 2022

HyperTransformer: A Textural and Spectral Feature Fusion Transformer for Pansharpening.
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2022

2021
A Sensitivity Matrix Approach Using Two-Stage Optimization for Voltage Regulation of LV Networks with High PV Penetration.
CoRR, 2021

2020
Coordinated PV re-phasing: a novel method to maximize renewable energy integration in LV networks by mitigating network unbalances.
CoRR, 2020

2019
Feature Extraction Using Minor Scatter Directions of Data to Distinguish Between Classes With Minute Differences of a Hyperspectral Image.
Proceedings of the 14th Conference on Industrial and Information Systems, 2019

Reactive Power Compensation for Voltage Violations in Distribution Network.
Proceedings of the 14th Conference on Industrial and Information Systems, 2019


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