Reactive Power Compensation for Voltage Violations in Distribution Network. - Aranee Balachandran; G. W. K. Prabhath; Wele Gedara Chaminda Bandara; G. M. R. I. Godaliyadda; M. P. B. Ekanayake; Janaka B. Ekanayake (ICIIS, 2019)

Feature Extraction Using Minor Scatter Directions of Data to Distinguish Between Classes With Minute Differences of a Hyperspectral Image. - E. M. M. B. Ekanayake; Wele Gedara Chaminda Bandara; G. W. K. Prabhath; G. M. R. I. Godaliyadda; H. M. V. R. Herath; M. P. B. Ekanayake (ICIIS, 2019)

Coordinated PV re-phasing: a novel method to maximize renewable energy integration in LV networks by mitigating network unbalances. - Wele Gedara Chaminda Bandara; G. M. R. I. Godaliyadda; M. P. B. Ekanayake; Janaka B. Ekanayake (CoRR, 2020)

A Sensitivity Matrix Approach Using Two-Stage Optimization for Voltage Regulation of LV Networks with High PV Penetration. - A. S. Jameel Hassan; Umar Marikkar; G. W. Kasun Prabhath; Aranee Balachandran; Wele Gedara Chaminda Bandara; Parakrama B. Ekanayake; Roshan Indika Godaliyadda; Janaka B. Ekanayake (CoRR, 2021)

HyperTransformer: A Textural and Spectral Feature Fusion Transformer for Pansharpening. - Wele Gedara Chaminda Bandara; Vishal M. Patel (CVPR, 2022)

SPIN Road Mapper: Extracting Roads from Aerial Images via Spatial and Interaction Space Graph Reasoning for Autonomous Driving. - Wele Gedara Chaminda Bandara; Jeya Maria Jose Valanarasu; Vishal M. Patel (ICRA, 2022)

A Transformer-Based Siamese Network for Change Detection. - Wele Gedara Chaminda Bandara; Vishal M. Patel (IGARSS, 2022)

SAR Despeckling Using Overcomplete Convolutional Networks. - Malsha V. Perera; Wele Gedara Chaminda Bandara; Jeya Maria Jose Valanarasu; Vishal M. Patel (IGARSS, 2022)

Transformer-Based SAR Image Despeckling. - Malsha V. Perera; Wele Gedara Chaminda Bandara; Jeya Maria Jose Valanarasu; Vishal M. Patel (IGARSS, 2022)

Orientation-Guided Graph Convolutional Network for Bone Surface Segmentation. - Aimon Rahman; Wele Gedara Chaminda Bandara; Jeya Maria Jose Valanarasu; Ilker Hacihaliloglu; Vishal M. Patel (MICCAI (5), 2022)

Revisiting Consistency Regularization for Semi-supervised Change Detection in Remote Sensing Images. - Wele Gedara Chaminda Bandara; Vishal M. Patel (CoRR, 2022)

Image Generation with Multimodal Priors using Denoising Diffusion Probabilistic Models. - Nithin Gopalakrishnan Nair; Wele Gedara Chaminda Bandara; Vishal M. Patel (CoRR, 2022)

DDPM-CD: Remote Sensing Change Detection using Denoising Diffusion Probabilistic Models. - Wele Gedara Chaminda Bandara; Nithin Gopalakrishnan Nair; Vishal M. Patel (CoRR, 2022)

Unite and Conquer: Cross Dataset Multimodal Synthesis using Diffusion Models. - Nithin Gopalakrishnan Nair; Wele Gedara Chaminda Bandara; Vishal M. Patel (CoRR, 2022)

Hyperspectral Pansharpening Based on Improved Deep Image Prior and Residual Reconstruction. - Wele Gedara Chaminda Bandara; Jeya Maria Jose Valanarasu; Vishal M. Patel (IEEE Trans. Geosci. Remote. Sens., 2022)

AdaMAE: Adaptive Masking for Efficient Spatiotemporal Learning with Masked Autoencoders. - Wele Gedara Chaminda Bandara; Naman Patel; Ali Gholami; Mehdi Nikkhah; Motilal Agrawal; Vishal M. Patel (CVPR, 2023)

Unite and Conquer: Plug & Play Multi-Modal Synthesis Using Diffusion Models. - Nithin Gopalakrishnan Nair; Wele Gedara Chaminda Bandara; Vishal M. Patel (CVPR, 2023)

Diffuse-Denoise-Count: Accurate Crowd-Counting with Diffusion Models. - Yasiru Ranasinghe; Nithin Gopalakrishnan Nair; Wele Gedara Chaminda Bandara; Vishal M. Patel (CoRR, 2023)

Guarding Barlow Twins Against Overfitting with Mixed Samples. - Wele Gedara Chaminda Bandara; Celso M. de Melo; Vishal M. Patel (CoRR, 2023)

SAR Despeckling Using a Denoising Diffusion Probabilistic Model. - Malsha V. Perera; Nithin Gopalakrishnan Nair; Wele Gedara Chaminda Bandara; Vishal M. Patel (IEEE Geosci. Remote. Sens. Lett., 2023)

CrowdDiff: Multi-Hypothesis Crowd Density Estimation Using Diffusion Models. - Yasiru Ranasinghe; Nithin Gopalakrishnan Nair; Wele Gedara Chaminda Bandara; Vishal M. Patel (CVPR, 2024)

Attention Prompt Tuning: Parameter-efficient Adaptation of Pre-trained Models for Action Recognition. - Wele Gedara Chaminda Bandara; Vishal M. Patel (FG, 2024)

Attention Prompt Tuning: Parameter-efficient Adaptation of Pre-trained Models for Spatiotemporal Modeling. - Wele Gedara Chaminda Bandara; Vishal M. Patel (CoRR, 2024)

Iso-Diffusion: Improving Diffusion Probabilistic Models Using the Isotropy of the Additive Gaussian Noise. - Dilum Fernando; Dhananjaya Jayasundara; Roshan Godaliyadda; Wele Gedara Chaminda Bandara; Parakrama Ekanayake; Vijitha R. Herath (CoRR, 2024)

CSMAE : Cataract Surgical Masked Autoencoder (MAE) Based Pre-Training. - Nisarg A. Shah; Chaminda Bandara; Shameema Sikder; S. Swaroop Vedula; Vishal M. Patel (ISBI, 2025)

DDPM-CD: Denoising Diffusion Probabilistic Models as Feature Extractors for Remote Sensing Change Detection. - Wele Gedara Chaminda Bandara; Nithin Gopalakrishnan Nair; Vishal M. Patel (WACV, 2025)

Deep Metric Learning for Unsupervised Remote Sensing Change Detection. - Wele Gedara Chaminda Bandara; Vishal M. Patel (WACV, 2025)

Stable Diffusion Models are Secretly Good at Visual In-Context Learning. - Trevine Oorloff; Vishwanath Sindagi; Wele Gedara Chaminda Bandara; Ali Shafahi; Amin Ghiasi; Charan Prakash; Reza Ardekani (CoRR, 2025)