Следене
Joakim Johnander
Joakim Johnander
PhD Student, Computer Vision Lab, Linköping University
Потвърден имейл адрес: liu.se
Заглавие
Позовавания
Позовавания
Година
The sixth visual object tracking vot2018 challenge results
M Kristan, A Leonardis, J Matas, M Felsberg, R Pflugfelder, ...
Proceedings of the European conference on computer vision (ECCV) workshops, 0-0, 2018
9312018
Unveiling the power of deep tracking
G Bhat, J Johnander, M Danelljan, FS Khan, M Felsberg
Proceedings of the European conference on computer vision (ECCV), 483-498, 2018
5562018
A generative appearance model for end-to-end video object segmentation
J Johnander, M Danelljan, E Brissman, FS Khan, M Felsberg
Proceedings of the IEEE/CVF conference on computer vision and pattern …, 2019
2072019
Semi-automatic annotation of objects in visual-thermal video
A Berg, J Johnander, F Durand de Gevigney, J Ahlberg, M Felsberg
Proceedings of the IEEE/CVF International Conference on Computer Vision …, 2019
322019
Dense gaussian processes for few-shot segmentation
J Johnander, J Edstedt, M Felsberg, FS Khan, M Danelljan
European Conference on Computer Vision, 217-234, 2022
272022
DCCO: Towards deformable continuous convolution operators for visual tracking
J Johnander, M Danelljan, FS Khan, M Felsberg
Computer Analysis of Images and Patterns: 17th International Conference …, 2017
192017
Video instance segmentation with recurrent graph neural networks
J Johnander, E Brissman, M Danelljan, M Felsberg
DAGM German Conference on Pattern Recognition, 206-221, 2021
112021
Raw or cooked? object detection on raw images
W Ljungbergh, J Johnander, C Petersson, M Felsberg
Scandinavian Conference on Image Analysis, 374-385, 2023
92023
Towards trustworthy multi‐modal motion prediction: Holistic evaluation and interpretability of outputs
S Carrasco Limeros, S Majchrowska, J Johnander, C Petersson, ...
CAAI Transactions on Intelligence Technology, 2023
72023
Towards explainable motion prediction using heterogeneous graph representations
SC Limeros, S Majchrowska, J Johnander, C Petersson, DF Llorca
Transportation Research Part C: Emerging Technologies 157, 104405, 2023
62023
Recurrent Graph Neural Networks for Video Instance Segmentation
E Brissman, J Johnander, M Danelljan, M Felsberg
International Journal of Computer Vision 131 (2), 471-495, 2023
62023
Predicting signed distance functions for visual instance segmentation
E Brissman, J Johnander, M Felsberg
2021 Swedish Artificial Intelligence Society Workshop (SAIS), 1-6, 2021
62021
Hinge-Wasserstein: Mitigating Overconfidence in Regression by Classification
Z Xiong, A Eldesokey, J Johnander, B Wandt, PE Forssen
arXiv preprint arXiv:2306.00560, 2023
22023
Towards trustworthy multi-modal motion prediction: Evaluation and interpretability
SC Limeros, S Majchrowska, J Johnander, C Petersson, MÁ Sotelo, ...
Available at SSRN 4255360, 2022
22022
NeuroNCAP: Photorealistic Closed-loop Safety Testing for Autonomous Driving
W Ljungbergh, A Tonderski, J Johnander, H Caesar, K Åström, ...
arXiv preprint arXiv:2404.07762, 2024
12024
Hinge-Wasserstein: Estimating Multimodal Aleatoric Uncertainty in Regression Tasks
Z Xiong, A Jonnarth, A Eldesokey, J Johnander, B Wandt, PE Forssén
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2024
12024
Cyclist collision avoidance using imagery sensor
T Aderum, M Felsberg, B Thorslund, A Eldesokey, P Thalya, J Asketun, ...
12019
On the Optimization of Advanced DCF-Trackers
J Johnander, G Bhat, M Danelljan, F Shahbaz Khan, M Felsberg
Proceedings of the European Conference on Computer Vision (ECCV) Workshops, 0-0, 2018
12018
Visual tracking with deformable continuous convolution operators
J Johnander
12017
Method for performing a perception task of an electronic device or a vehicle using a plurality of neural networks
A Tonderski, J Johnander, C Petersson
US Patent App. 18/511,233, 2024
2024
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