Linus Ericsson

According to our database, Linus Ericsson authored at least 17 papers between 2013 and 2025.

Collaborative distances:

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

2025

No time to train! Training-Free Reference-Based Instance Segmentation.

Miguel Espinosa, Chenhongyi Yang, Linus Ericsson, Steven McDonagh, Elliot J. Crowley

CoRR, July, 2025

Transferrable Surrogates in Expressive Neural Architecture Search Spaces.

Shiwen Qin, Gabriela Kadlecová, Martin Pilát, Shay B. Cohen, Roman Neruda, Elliot J. Crowley, Jovita Lukasik, Linus Ericsson

CoRR, April, 2025

2024

Label-efficient object detection via region proposal network pre-training.

Nanqing Dong, Linus Ericsson, Yongxin Yang, Ales Leonardis, Steven McDonagh

Neurocomputing, 2024

There is no SAMantics! Exploring SAM as a Backbone for Visual Understanding Tasks.

Miguel Espinosa, Chenhongyi Yang, Linus Ericsson, Steven McDonagh, Elliot J. Crowley

CoRR, 2024

Hyperparameter Selection in Continual Learning.

Thomas L. Lee, Sigrid Passano Hellan, Linus Ericsson, Elliot J. Crowley, Amos J. Storkey

CoRR, 2024

einspace: Searching for Neural Architectures from Fundamental Operations.

Linus Ericsson, Miguel Espinosa, Chenhongyi Yang, Antreas Antoniou, Amos J. Storkey, Shay B. Cohen, Steven McDonagh, Elliot J. Crowley

Proceedings of the Advances in Neural Information Processing Systems 38: Annual Conference on Neural Information Processing Systems 2024, 2024

Parameter-Efficient Fine-Tuning for Medical Image Analysis: The Missed Opportunity.

Raman Dutt, Linus Ericsson, Pedro Sanchez, Sotirios A. Tsaftaris, Timothy M. Hospedales

Proceedings of the Medical Imaging with Deep Learning, 3-5 July 2024, Paris, France., 2024

PlainMamba: Improving Non-Hierarchical Mamba in Visual Recognition.

Chenhongyi Yang, Zehui Chen, Miguel Espinosa, Linus Ericsson, Zhenyu Wang, Jiaming Liu, Elliot J. Crowley

Proceedings of the 35th British Machine Vision Conference, 2024

2023

Self-Supervised Disentanglement by Leveraging Structure in Data Augmentations.

Cian Eastwood, Julius von Kügelgen, Linus Ericsson, Diane Bouchacourt, Pascal Vincent, Bernhard Schölkopf, Mark Ibrahim

CoRR, 2023

Better Practices for Domain Adaptation.

Linus Ericsson, Da Li, Timothy M. Hospedales

Proceedings of the International Conference on Automated Machine Learning, 2023

2022

Self-Supervised Representation Learning: Introduction, advances, and challenges.

Linus Ericsson, Henry Gouk, Chen Change Loy, Timothy M. Hospedales

IEEE Signal Process. Mag., 2022

Region Proposal Network Pre-Training Helps Label-Efficient Object Detection.

Linus Ericsson, Nanqing Dong, Yongxin Yang, Ales Leonardis, Steven McDonagh

CoRR, 2022

Why Do Self-Supervised Models Transfer? On the Impact of Invariance on Downstream Tasks.

Linus Ericsson, Henry Gouk, Timothy M. Hospedales

Proceedings of the 33rd British Machine Vision Conference 2022, 2022

2021

Why Do Self-Supervised Models Transfer? Investigating the Impact of Invariance on Downstream Tasks.

Linus Ericsson, Henry Gouk, Timothy M. Hospedales

CoRR, 2021

How Well Do Self-Supervised Models Transfer?

Linus Ericsson, Henry Gouk, Timothy M. Hospedales

Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2021

2020

Don't Wait, Just Weight: Improving Unsupervised Representations by Learning Goal-Driven Instance Weights.

Linus Ericsson, Henry Gouk, Timothy M. Hospedales

CoRR, 2020

2013

Semantic Space Models for Profiling Reputation of Corporate Entities.

Jussi Karlgren, Linus Ericsson

Proceedings of the Working Notes for CLEF 2013 Conference , 2013