Chaminda Bandara
wgcban
Solving problems in computer vision and deep learning. PhD from ECE, Johns Hopkins.
Languages
Top Repositories
[IGARSS'22]: A Transformer-Based Siamese Network for Change Detection
Remote Sensing Change Detection using Denoising Diffusion Probabilistic Models
Revisiting Consistency Regularization for Semi-supervised Change Detection in Remote Sensing Images
[CVPR'22] HyperTransformer: A Textural and Spectral Feature Fusion Transformer for Pansharpening
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
[CVPR'23] AdaMAE: Adaptive Masking for Efficient Spatiotemporal Learning with Masked Autoencoders
Repositories
62Remote Sensing Change Detection using Denoising Diffusion Probabilistic Models
[IGARSS'22]: A Transformer-Based Siamese Network for Change Detection
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
Revisiting Consistency Regularization for Semi-supervised Change Detection in Remote Sensing Images
[CVPR'22] HyperTransformer: A Textural and Spectral Feature Fusion Transformer for Pansharpening
Official PyTorch implementation of Deep Metric Learning for Unsupervised Change Detection in Remote Sensing Images
No description provided.
[IEEE TGRS] DIP-HyperKite: Hyperspectral Pansharpening Based on Improved Deep Image Prior and Residual Reconstruction
A Complete State Estimation Algorithm for a Three-Phase Four-Wire Low Voltage Distribution System with High Penetration of Solar PV
[CVPR'23] AdaMAE: Adaptive Masking for Efficient Spatiotemporal Learning with Masked Autoencoders
No description provided.
PyTorch Implementation of Attention Prompt Tuning: Parameter-Efficient Adaptation of Pre-Trained Models for Action Recognition
Official PyTorch Implementation of Guarding Barlow Twins Against Overfitting with Mixed Samples
Training PyTorch models with differential privacy
A review of change detection methods, including codes and open data sets for deep learning. From paper: change detection based on artificial intelligence: state-of-the-art and challenges.
Pytorch code for Adapting Self-Supervised Vision Transformers by Probing Attention-Conditioned Masking Consistency (NeurIPS 2022)
Inference code for LLaMA models
No description provided.
All the projects related to Llama
VISSL is FAIR's library of extensible, modular and scalable components for SOTA Self-Supervised Learning with images.
This is the official implementation of TrivialAugment and a mini-library for the application of multiple image augmentation strategies including RandAugment and TrivialAugment.
Minimal PyTorch implementations of NeRF and pixelNeRF.
No description provided.
No description provided.
PyTorch implementation of MAE https//arxiv.org/abs/2111.06377
Sharpness-Aware Minimization Leads to Low-Rank Features [arXiv, May 2023]
No description provided.
[CVPR '23] Unite and Conquer: Plug & Play Multi-Modal Synthesis using Diffusion Models
LLM-Adapters: An Adapter Family for Parameter-Efficient Fine-Tuning of Large Language Models
Approximate nearest neighbor search with product quantization on GPU in pytorch and cuda