The activitynet from lukashedegaard

👋 Hi, I'm Lukas Hedegaard

PostDoc at Aarhus University, Denmark researching Deep Learning, network acceleration and Transfer Learning applied to Computer Vision and Natural Language Processing. Recent works include:

Hedegaard et al.: "Continual Spatio-Temporal Graph Convolutional Networks (Pattern Recognition, 2023)
Hedegaard et al.: "Continual Transformers: Redundancy-Free Attention for Online Inference" (ICLR, 2023)
Hedegaard & Iosifidis: "Continual 3D Convolutional Neural Networks for Real-time Processing of Videos" (ECCV, 2022)
Hedegaard & Iosifidis: "Continual Inference: A Library for Efficient Online Inference with Deep Neural Networks in PyTorch" (ECCV workshop, 2022)
Hedegaard et al.: "Supervised Domain Adaptation: A Graph Embedding Perspective and a Rectified Experimental Protocol" (Transactions on Image Processing, 2021)
Hedegaard et al.: "Supervised Domain Adaptation using Graph Embedding" (ICPR, 2021)
Heidari et al.: "Graph Convolutional Networks" (Deep Learning for Robot Perception and Cognition, 2022)
Hedegaard et al.: "Human Activity Recognition" (Deep Learning for Robot Perception and Cognition, 2022)
Hedegaard et al.: "Structured Pruning Adapters" (preprint, 2023)

Apart from doing ML research projects (like real-time Human Activity Recognition using CoX3D ☝️), I like to package code up nicely and open-source whenever it may be of value. Open-source libraries include:

Continual Inference [🐍, C++] - Building blocks for Continual Inference Networks in PyTorch.
Ride [🐍] - Training wheels, side rails, and helicopter parent for your Deep Learning projects in PyTorch.
OpenDR [🐍, C++] - A modular, open and non-proprietary toolkit for core robotic functionalities by harnessing deep learning.
DatasetOps [🐍] - Fluent dataset operations, compatible with your favorite libraries.
PyTorch Benchmark [🐍] - Easily benchmark PyTorch model FLOPs, latency, throughput, allocated gpu memory and energy consumption.
Co-Rider [🐍] - Tiny configuration library tailored for the Ride ecosystem.
Supers [🐍] - Call a function in all superclasses using supers(self).foo(42).
react-native-svg-pan-zoom [JS] - Pan-zoom via two-finger "Google Maps"-style pinch and drag gestures.
redux-maybe [JS] - Nodejs Package for attaching callback functions to redux messages.
redux-blabber [JS] - Redux store enhancer for synchronizing states and actions across store instances.