ML Engineer at InCommodities, with a research background in Deep Learning, network acceleration and Transfer Learning applied to Computer Vision and Natural Language Processing. Recent works include:
Hedegaard et al.: "Structured Pruning Adapters" (Pattern Recognition, 2024)
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)
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.
