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Johnander, Joakim
40  Ergebnisse:
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1

Towards trustworthy multi‐modal motion prediction: Holistic..:

Carrasco Limeros, Sandra ; Majchrowska, Sylwia ; Johnander, Joakim...
CAAI Transactions on Intelligence Technology.  9 (2023)  3 - p. 557-572 , 2023
Link: https://doi.org/10.1049/..
 
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2

Towards explainable motion prediction using heterogeneous g..:

Carrasco Limeros, Sandra ; Majchrowska, Sylwia ; Johnander, Joakim..
Transportation Research Part C: Emerging Technologies.  157 (2023)  - p. 104405 , 2023
Link: https://doi.org/10.1016/..
 
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3

Raw or Cooked? Object Detection on RAW Images:

, In: Image Analysis; Lecture Notes in Computer Science,
Ljungbergh, William ; Johnander, Joakim ; Petersson, Christoffer. - p. 374-385 , 2023
Link: https://doi.org/10.1007/..
 
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4

You can have your ensemble and run it too – Deep Ensembles ..:

, In: 2023 IEEE/CVF International Conference on Computer Vision Workshops (ICCVW),
Meding, Isak ; Bodin, Alexander ; Tonderski, Adam... - p. 4022-4031 , 2023
Link: https://doi.org/10.1109/..
 
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5

Recurrent Graph Neural Networks for Video Instance Segmenta..:

Brissman, Emil ; Johnander, Joakim ; Danelljan, Martin.
International Journal of Computer Vision.  131 (2022)  2 - p. 471-495 , 2022
Link: https://doi.org/10.1007/..
 
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6

Dense Gaussian Processes for Few-Shot Segmentation:

, In: Lecture Notes in Computer Science; Computer Vision – ECCV 2022,
Johnander, Joakim ; Edstedt, Johan ; Felsberg, Michael.. - p. 217-234 , 2022
Link: https://doi.org/10.1007/..
 
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7

Video Instance Segmentation with Recurrent Graph Neural Net..:

, In: Lecture Notes in Computer Science; Pattern Recognition,
Johnander, Joakim ; Brissman, Emil ; Danelljan, Martin. - p. 206-221 , 2021
Link: https://doi.org/10.1007/..
 
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8

A Generative Appearance Model for End-To-End Video Object S..:

, In: 2019 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR),
Johnander, Joakim ; Danelljan, Martin ; Brissman, Emil.. - p. 8945-8954 , 2019
Link: https://doi.org/10.1109/..
 
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9

On the Optimization of Advanced DCF-Trackers:

, In: Lecture Notes in Computer Science; Computer Vision – ECCV 2018 Workshops,
Johnander, Joakim ; Bhat, Goutam ; Danelljan, Martin.. - p. 54-69 , 2019
Link: https://doi.org/10.1007/..
 
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10

Semi-Automatic Annotation of Objects in Visual-Thermal Vide:

, In: 2019 IEEE/CVF International Conference on Computer Vision Workshop (ICCVW),
Berg, Amanda ; Johnander, Joakim ; Durand de Gevigney, Flavie.. - p. 2242-2251 , 2019
Link: https://doi.org/10.1109/..
 
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11

The Sixth Visual Object Tracking VOT2018 Challenge Results:

, In: Lecture Notes in Computer Science; Computer Vision – ECCV 2018 Workshops,
Kristan, Matej ; Leonardis, Aleš ; Matas, Jiří... - p. 3-53 , 2019
Link: https://doi.org/10.1007/..
 
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12

Unveiling the Power of Deep Tracking:

, In: Computer Vision – ECCV 2018; Lecture Notes in Computer Science,
Bhat, Goutam ; Johnander, Joakim ; Danelljan, Martin.. - p. 493-509 , 2018
Link: https://doi.org/10.1007/..
 
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13

Towards Explainable Motion Prediction using Heterogeneous G..:

CARRASCO LIMEROS Sandra ; MAJCHROWSKA Sylwia ; JOHNANDER Joakim..
JRC131611.  , 2023
Link: https://publications.jrc..
 
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14

Recurrent Graph Neural Networks for Video Instance Segmenta..:

Brissman, Emil ; Johnander, Joakim ; Danelljan, Martin.
International Journal of Computer Vision, 0920-5691, 2023, 131, s. 471-495.  , 2023
Link: http://urn.kb.se/resolve..
 
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15

You can have your ensemble and run it too -- Deep Ensembles..:

Meding, Isak ; Bodin, Alexander ; Tonderski, Adam...
http://arxiv.org/abs/2309.11333.  , 2023
Link: http://arxiv.org/abs/230..
 
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