Joakim Johnander

According to our database1, Joakim Johnander authored at least 20 papers between 2017 and 2023.

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

Timeline

Legend:

Book 
In proceedings 
Article 
PhD thesis 
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Other 

Links

On csauthors.net:

Bibliography

2023
Recurrent Graph Neural Networks for Video Instance Segmentation.
Int. J. Comput. Vis., 2023

Hinge-Wasserstein: Mitigating Overconfidence in Regression by Classification.
CoRR, 2023

Raw or Cooked? Object Detection on RAW Images.
Proceedings of the Image Analysis - 22nd Scandinavian Conference, 2023

You can have your ensemble and run it too - Deep Ensembles Spread Over Time.
Proceedings of the IEEE/CVF International Conference on Computer Vision, 2023

2022
Dynamic Visual Learning.
PhD thesis, 2022

Towards Explainable Motion Prediction using Heterogeneous Graph Representations.
CoRR, 2022

Towards Trustworthy Multi-Modal Motion Prediction: Evaluation and Interpretability.
CoRR, 2022

Learning Future Object Prediction with a Spatiotemporal Detection Transformer.
CoRR, 2022

Dense Gaussian Processes for Few-Shot Segmentation.
Proceedings of the Computer Vision - ECCV 2022, 2022

2021
Deep Gaussian Processes for Few-Shot Segmentation.
CoRR, 2021

Predicting Signed Distance Functions for Visual Instance Segmentation.
Proceedings of the Swedish Artificial Intelligence Society Workshop, 2021

Video Instance Segmentation with Recurrent Graph Neural Networks.
Proceedings of the Pattern Recognition - 43rd DAGM German Conference, DAGM GCPR 2021, Bonn, Germany, September 28, 2021

2020
Learning Video Instance Segmentation with Recurrent Graph Neural Networks.
CoRR, 2020

2019
Semi-Automatic Annotation of Objects in Visual-Thermal Video.
Proceedings of the 2019 IEEE/CVF International Conference on Computer Vision Workshops, 2019

A Generative Appearance Model for End-To-End Video Object Segmentation.
Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2019

2018
The Sixth Visual Object Tracking VOT2018 Challenge Results.
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Proceedings of the Computer Vision - ECCV 2018 Workshops, 2018

On the Optimization of Advanced DCF-Trackers.
Proceedings of the Computer Vision - ECCV 2018 Workshops, 2018

Unveiling the Power of Deep Tracking.
Proceedings of the Computer Vision - ECCV 2018, 2018

2017
DCCO: Towards Deformable Continuous Convolution Operators.
CoRR, 2017

DCCO: Towards Deformable Continuous Convolution Operators for Visual Tracking.
Proceedings of the Computer Analysis of Images and Patterns, 2017


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