Gustav Pihlgren

Orcid: 0000-0003-0100-4030

According to our database1, Gustav Pihlgren authored at least 10 papers between 2018 and 2024.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

Legend:

Book 
In proceedings 
Article 
PhD thesis 
Dataset
Other 

Links

On csauthors.net:

Bibliography

2024
Deep Perceptual Similarity is Adaptable to Ambiguous Contexts.
Proceedings of the Northern Lights Deep Learning Conference, 2024

2023
Deep Perceptual Loss and Similarity.
PhD thesis, 2023

A Systematic Performance Analysis of Deep Perceptual Loss Networks Breaks Transfer Learning Conventions.
CoRR, 2023

Magnification Prior: A Self-Supervised Method for Learning Representations on Breast Cancer Histopathological Images.
Proceedings of the IEEE/CVF Winter Conference on Applications of Computer Vision, 2023

Identifying and Mitigating Flaws of Deep Perceptual Similarity Metrics.
Proceedings of the 2023 Northern Lights Deep Learning Workshop, 2023

2022
VidHarm: A Clip Based Dataset for Harmful Content Detection.
Proceedings of the 26th International Conference on Pattern Recognition, 2022

2020
Improving Image Autoencoder Embeddings with Perceptual Loss.
Proceedings of the 2020 International Joint Conference on Neural Networks, 2020

Pretraining Image Encoders without Reconstruction via Feature Prediction Loss.
Proceedings of the 25th International Conference on Pattern Recognition, 2020

2019
Subword Semantic Hashing for Intent Classification on Small Datasets.
Proceedings of the International Joint Conference on Neural Networks, 2019

2018
Subword Semantic Hashing for Intent Classification on Small Datasets.
CoRR, 2018


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