Gustav Pihlgren

According to our database, Gustav Pihlgren authored at least 12 papers between 2018 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2024

Smooth-edged Perturbations Improve Perturbation-based Image Explanations.

Gustav Grund Pihlgren, Kary Främling

CoRR, 2024

Deep Perceptual Similarity is Adaptable to Ambiguous Contexts.

Gustav Grund Pihlgren, Fredrik Sandin, Marcus Liwicki

Proceedings of the Northern Lights Deep Learning Conference, 2024

py_ciu_image: A Python Library for Explaining Image Classification with Contextual Importance and Utility.

Kary Främling, Ioan-Vlad Apopei, Gustav Grund Pihlgren, Avleen Malhi

Proceedings of the Explainable and Transparent AI and Multi-Agent Systems, 2024

2023

Deep Perceptual Loss and Similarity.

Gustav Grund Pihlgren

PhD thesis, 2023

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

Gustav Grund Pihlgren, Konstantina Nikolaidou, Prakash Chandra Chhipa, Nosheen Abid, Rajkumar Saini, Fredrik Sandin, Marcus Liwicki

CoRR, 2023

Magnification Prior: A Self-Supervised Method for Learning Representations on Breast Cancer Histopathological Images.

Prakash Chandra Chhipa, Richa Upadhyay, Gustav Grund Pihlgren, Rajkumar Saini, Seiichi Uchida, Marcus Liwicki

Proceedings of the IEEE/CVF Winter Conference on Applications of Computer Vision, 2023

Identifying and Mitigating Flaws of Deep Perceptual Similarity Metrics.

Oskar Sjögren, Gustav Grund Pihlgren, Fredrik Sandin, Marcus Liwicki

Proceedings of the 2023 Northern Lights Deep Learning Workshop, 2023

2022

VidHarm: A Clip Based Dataset for Harmful Content Detection.

Johan Edstedt, Amanda Berg, Michael Felsberg, Johan Karlsson, Francisca Benavente, Anette Novak, Gustav Grund Pihlgren

Proceedings of the 26th International Conference on Pattern Recognition, 2022

2020

Improving Image Autoencoder Embeddings with Perceptual Loss.

Gustav Grund Pihlgren, Fredrik Sandin, Marcus Liwicki

Proceedings of the 2020 International Joint Conference on Neural Networks, 2020

Pretraining Image Encoders without Reconstruction via Feature Prediction Loss.

Gustav Grund Pihlgren, Fredrik Sandin, Marcus Liwicki

Proceedings of the 25th International Conference on Pattern Recognition, 2020

2019

Subword Semantic Hashing for Intent Classification on Small Datasets.

Kumar Shridhar, Ayushman Dash, Amit Sahu, Gustav Grund Pihlgren, Pedro Alonso, Vinaychandran Pondenkandath, György Kovács, Foteini Simistira, Marcus Liwicki

Proceedings of the International Joint Conference on Neural Networks, 2019

2018

Subword Semantic Hashing for Intent Classification on Small Datasets.

Kumar Shridhar, Amit Sahu, Ayushman Dash, Pedro Alonso, Gustav Pihlgren, Vinay Pondeknath, Fotini Simistira, Marcus Liwicki

CoRR, 2018