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Welcome to My GitHub Profile!

My research interests lie at the intersection of Computer Vision and Deep Learning, with a specific focus on:

  • Self-Supervised Learning (SSL)
  • Generative AI
  • Remote Sensing
  • Low-Level Vision

🌐 Homepage: www.wgcban.com

Featured Projects

Self-Supervised Representation Learning

  • Guarding Barlow Twins Against Overfitting with Mixed Samples GitHub 🚨
  • AdaMAE: Adaptive Masking for Efficient Spatiotemporal Learning with Masked Autoencoders @ CVPR'23 GitHub

Generative AI

  • Unite and Conquer: Cross Dataset Multimodal Synthesis using Diffusion Models @ CVPR'23 GitHub

Remote Sensing

Change Detection

  • ChangeFormer: A Transformer-Based Siamese Network for Change Detection @ IGARSS'22 GitHub
  • DDPM-CD: Remote Sensing Change Detection using Denoising Diffusion Probabilistic Models GitHub
  • Revisiting Consistency Regularization for Semi-supervised Change Detection in Remote Sensing Images GitHub
  • Metric-CD: Deep Metric Learning for Unsupervised Remote Sensing Change Detection GitHub

Image Super-Resolution / Pansharpening

  • HyperTransformer: A Textural and Spectral Feature Fusion Transformer for Pansharpening @ CVPR'22 GitHub
  • DIP-HyperKite: Hyperspectral Pansharpening Based on Improved Deep Image Prior and Residual Reconstruction @ TGRS'22 GitHub

Segmentation

  • SPIN Road Mapper: Extracting Roads from Aerial Images via Spatial and Interaction Space Graph Reasoning for Autonomous Driving @ ICRA'22 GitHub

SAR Despeckling

  • SAR-Transformer: Transformer-based SAR Image Despeckling @ IGARSS'22 GitHub
  • SAR-Overcomplete: SAR Despeckling Using Overcomplete Convolutional Networks @ IGARSS'22 GitHub
  • SAR-DDPM: SAR Despeckling using a Denoising Diffusion Probabilistic Model @ Geoscience and Remote Sensing Letters GitHub

Low-level Vision

  • Diffuse-Denoise-Count: Accurate Crowd-Counting with Diffusion Models GitHub

Chaminda Bandara's Projects

opacus icon opacus

Training PyTorch models with differential privacy

pacmac icon pacmac

Pytorch code for Adapting Self-Supervised Vision Transformers by Probing Attention-Conditioned Masking Consistency (NeurIPS 2022)

ravaen icon ravaen

Change Detection project - the more experimental build version. Trying out Active Learning in with deep CNNs for Change detection on remote sensing data. https://arxiv.org/abs/2111.02995v1

rocog-v2 icon rocog-v2

RoCoG-v2 (Robot Control Gestures) is a dataset intended to support the study of synthetic-to-real and ground-to-air video domain adaptation.

semicd icon semicd

Revisiting Consistency Regularization for Semi-supervised Change Detection in Remote Sensing Images

serialport icon serialport

Serial Port communication written in Visual Studio C++

spin_roadmapper icon spin_roadmapper

Official implementation of our ICRA'22 paper: SPIN Road Mapper: Extracting Roads from Aerial Images via Spatial and Interaction Space Graph Reasoning for Autonomous Driving

squeeze_and_excitation icon squeeze_and_excitation

PyTorch Implementation of 2D and 3D 'squeeze and excitation' blocks for Fully Convolutional Neural Networks

ssl-video icon ssl-video

State-of-the-art Self-Supervised Video Representation Learning Methods

torchpq icon torchpq

Approximate nearest neighbor search with product quantization on GPU in pytorch and cuda

wgcban icon wgcban

Config files for my GitHub profile.

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