Methane-detection-from-hyperspectral-imagery
Deep Learning based Remote Sensing Methods for Methane Detection in Airborne Hyperspectral Imagery
Possibly Available
About
Schmidt Science Fellow at Stanford University; PhD University of California Santa Barbara,
Evidence-backed skills
Repositories
In-situ-Water-quality-monitoring-in-Oil-and-Gas-operations
Salinity and turbidity detection of water ponds using Satellite imagery
image-registration
For creating a panorama from multiple images
Animal_detection
Animal detection in the wild from overhead (Drone and hot air balloon) thermal/infrared images
MethaneMapper-Spectral-Absorption-aware-Hyperspectral-Transformer-for-Methane-Detection
MethaneMapper: Spectral Absorption aware Hyperspectral Transformer for Methane Detection
StressNet-Detecting-stress-from-thermal-videos
StressNet: Detecting Stress in Thermal Videos
LOCL-Learning-Object-Attribute-Composition-using-Localization
This paper describes LOCL: Learning Object-Attribute (O-A) Composition using Localization – that generalizes composition zero shot learning to objects in cluttered/more realistic settings.
pearson_correlation_multi-dimension_pytorch
computes the pearson correlation of multi dimension in pytorch
Awesome-Mamba-Papers
Awesome Papers related to Mamba.
top-cvpr-2024-papers
This repository is a curated collection of the most exciting and influential CVPR 2024 papers. 🔥 [Paper + Code + Demo]
segment-anything
The repository provides code for running inference with the SegmentAnything Model (SAM), links for downloading the trained model checkpoints, and example notebooks that show how to use the model.
GTNet
GTNet:Guided Transformer Network for Detecting Human-Object Interactions