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Ardo, Hakan
40  Ergebnisse:
Personensuche X
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1

Height Normalizing Image Transform for Efficient Scene Spec..:

, In: 2022 18th IEEE International Conference on Advanced Video and Signal Based Surveillance (AVSS),
Ardo, Hakan ; Ahrnbom, Martin ; Nilsson, Mikael - p. 1-11 , 2022
Link: https://doi.org/10.1109/..
 
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2

Exploring ML testing in practice – Lessons learned from an ..:

, In: 2022 IEEE/ACM 1st International Conference on AI Engineering – Software Engineering for AI (CAIN),
Song, Qunying ; Borg, Markus ; Engstrom, Emelie.. - p. 10-21 , 2022
Link: https://doi.org/10.1145/..
 
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3

Exploring ML testing in practice : lessons learned from ..:

, In: Proceedings of the 1st International Conference on AI Engineering: Software Engineering for AI,
Song, Qunying ; Borg, Markus ; Engström, Emelie.. - p. 10-21 , 2022
Link: https://dl.acm.org/doi/1..
 
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4

Generalized Urban Traffic Surveillance (GUTS): World-Coordi..:

, In: 2022 IEEE 25th International Conference on Intelligent Transportation Systems (ITSC),
Ahrnbom, Martin ; Persson, Ivar ; Ardo, Hakan. - p. 3813-3818 , 2022
Link: https://doi.org/10.1109/..
 
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5

Multi Target Tracking from Drones by Learning from Generali..:

, In: 2019 IEEE/CVF International Conference on Computer Vision Workshop (ICCVW),
Ardo, Hakan ; Nilsson, Mikael - p. 46-54 , 2019
Link: https://doi.org/10.1109/..
 
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6

VisDrone-MOT2019: The Vision Meets Drone Multiple Object Tr..:

, In: 2019 IEEE/CVF International Conference on Computer Vision Workshop (ICCVW),
Wen, Longyin ; Zhang, Yue ; Bo, Liefeng... - p. 189-198 , 2019
Link: https://doi.org/10.1109/..
 
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7

Now You See Me: Convolutional Neural Network Based Tracker ..:

Guzhva, Oleksiy ; Ardö, Håkan ; Nilsson, Mikael..
Frontiers in Robotics and AI.  5 (2018)  - p. , 2018
Link: https://doi.org/10.3389/..
 
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8

Convolutional neural network‐based cow interaction watchdog:

Ardö, Hakan ; Guzhva, Oleksiy ; Nilsson, Mikael.
IET Computer Vision.  12 (2017)  2 - p. 171-177 , 2017
Link: https://doi.org/10.1049/..
 
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9

Smooth pursuit detection in binocular eye-tracking data wit..:

Larsson, Linnéa ; Nyström, Marcus ; Ardö, Håkan..
Journal of Vision.  16 (2016)  15 - p. 20 , 2016
Link: https://doi.org/10.1167/..
 
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10

Loop-aware optimizations in PyPy's tracing JIT:

, In: Proceedings of the 8th symposium on Dynamic languages,
Ardö, Håkan ; Bolz, Carl Friedrich ; FijaBkowski, Maciej - p. 63-72 , 2012
Link: https://dl.acm.org/doi/1..
 
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11

Loop-aware optimizations in PyPy's tracing JIT:

Ardö, Håkan ; Bolz, Carl Friedrich ; FijaBkowski, Maciej
ACM SIGPLAN Notices.  48 (2012)  2 - p. 63-72 , 2012
Link: https://doi.org/10.1145/..
 
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12

Bayesian Formulation of Image Patch Matching Using Cross-co..:

Ardö, Håkan ; Ågström, Kalle
Journal of Mathematical Imaging and Vision.  43 (2011)  1 - p. 72-87 , 2011
Link: https://doi.org/10.1007/..
 
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13

SoccerNet 2023 Challenges Results:

Cioppa, Anthony ; Giancola, Silvio ; Somers, Vladimir...
http://arxiv.org/abs/2309.06006.  , 2023
Link: http://arxiv.org/abs/230..
 
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14

Exploring ML testing in practice - Lessons learned from an ..:

Song, Qunying ; Borg, Markus ; Engström, Emelie..
https://lup.lub.lu.se/record/1eb11df2-93f5-4998-91ba-497ae2fc1c44.  , 2022
Link: https://lup.lub.lu.se/re..
 
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15

Exploring ML testing in practice -- Lessons learned from an..:

Song, Qunying ; Borg, Markus ; Engström, Emelie..
http://arxiv.org/abs/2203.16225.  , 2022
Link: http://arxiv.org/abs/220..
 
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