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Joakim Johnander
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2020 – today
- 2024
- [j2]Sandra Carrasco Limeros
, Sylwia Majchrowska
Towards trustworthy multi-modal motion prediction: Holistic evaluation and interpretability of outputs. CAAI Trans. Intell. Technol. 9(3): 557-572 (2024) - [c13]Ziliang Xiong, Arvi Jonnarth, Abdelrahman Eldesokey, Joakim Johnander, Bastian Wandt, Per-Erik Forssén:
Hinge-Wasserstein: Estimating Multimodal Aleatoric Uncertainty in Regression Tasks. CVPR Workshops 2024: 3471-3480 - [c12]William Ljungbergh, Adam Tonderski, Joakim Johnander, Holger Caesar, Kalle Åström, Michael Felsberg, Christoffer Petersson:
NeuroNCAP: Photorealistic Closed-Loop Safety Testing for Autonomous Driving. ECCV (30) 2024: 161-177 - [i13]William Ljungbergh, Adam Tonderski, Joakim Johnander, Holger Caesar, Kalle Åström, Michael Felsberg, Christoffer Petersson:
NeuroNCAP: Photorealistic Closed-loop Safety Testing for Autonomous Driving. CoRR abs/2404.07762 (2024) - 2023
- [j1]Emil Brissman, Joakim Johnander
Recurrent Graph Neural Networks for Video Instance Segmentation. Int. J. Comput. Vis. 131(2): 471-495 (2023) - [c11]Isak Meding, Alexander Bodin, Adam Tonderski, Joakim Johnander, Christoffer Petersson, Lennart Svensson:
You can have your ensemble and run it too - Deep Ensembles Spread Over Time. ICCV (Workshops) 2023: 4022-4031 - [c10]William Ljungbergh
Raw or Cooked? Object Detection on RAW Images. SCIA (1) 2023: 374-385 - [i12]William Ljungbergh, Joakim Johnander, Christoffer Petersson, Michael Felsberg:
Raw or Cooked? Object Detection on RAW Images. CoRR abs/2301.08965 (2023) - [i11]Ziliang Xiong, Abdelrahman Eldesokey, Joakim Johnander, Bastian Wandt, Per-Erik Forssén:
Hinge-Wasserstein: Mitigating Overconfidence in Regression by Classification. CoRR abs/2306.00560 (2023) - [i10]Isak Meding, Alexander Bodin, Adam Tonderski, Joakim Johnander, Christoffer Petersson, Lennart Svensson:
You can have your ensemble and run it too - Deep Ensembles Spread Over Time. CoRR abs/2309.11333 (2023) - 2022
- [b1]Joakim Johnander
Dynamic Visual Learning. Linköping University, Sweden, 2022 - [c9]Joakim Johnander, Johan Edstedt, Michael Felsberg, Fahad Shahbaz Khan, Martin Danelljan:
Dense Gaussian Processes for Few-Shot Segmentation. ECCV (29) 2022: 217-234 - [i9]Adam Tonderski, Joakim Johnander, Christoffer Petersson, Kalle Åström:
Learning Future Object Prediction with a Spatiotemporal Detection Transformer. CoRR abs/2204.10321 (2022) - [i8]Sandra Carrasco Limeros, Sylwia Majchrowska, Joakim Johnander, Christoffer Petersson, Miguel Ángel Sotelo, David Fernández Llorca:
Towards Trustworthy Multi-Modal Motion Prediction: Evaluation and Interpretability. CoRR abs/2210.16144 (2022) - [i7]Sandra Carrasco Limeros, Sylwia Majchrowska, Joakim Johnander, Christoffer Petersson, David Fernández Llorca:
Towards Explainable Motion Prediction using Heterogeneous Graph Representations. CoRR abs/2212.03806 (2022) - 2021
- [c8]Joakim Johnander
Video Instance Segmentation with Recurrent Graph Neural Networks. GCPR 2021: 206-221 - [c7]Emil Brissman, Joakim Johnander, Michael Felsberg:
Predicting Signed Distance Functions for Visual Instance Segmentation. SAIS 2021: 1-6 - [i6]Joakim Johnander, Johan Edstedt, Martin Danelljan, Michael Felsberg, Fahad Shahbaz Khan:
Deep Gaussian Processes for Few-Shot Segmentation. CoRR abs/2103.16549 (2021) - [i5]Joakim Johnander, Johan Edstedt, Michael Felsberg, Fahad Shahbaz Khan, Martin Danelljan:
Dense Gaussian Processes for Few-Shot Segmentation. CoRR abs/2110.03674 (2021) - 2020
- [i4]Joakim Johnander, Emil Brissman, Martin Danelljan, Michael Felsberg:
Learning Video Instance Segmentation with Recurrent Graph Neural Networks. CoRR abs/2012.03911 (2020)
2010 – 2019
- 2019
- [c6]Joakim Johnander, Martin Danelljan, Emil Brissman, Fahad Shahbaz Khan
A Generative Appearance Model for End-To-End Video Object Segmentation. CVPR 2019: 8953-8962 - [c5]Amanda Berg, Joakim Johnander, Flavie Durand de Gevigney, Jörgen Ahlberg, Michael Felsberg:
Semi-Automatic Annotation of Objects in Visual-Thermal Video. ICCV Workshops 2019: 2242-2251 - 2018
- [c4]Matej Kristan, Ales Leonardis, Jiri Matas
The Sixth Visual Object Tracking VOT2018 Challenge Results. ECCV Workshops (1) 2018: 3-53 - [c3]Joakim Johnander, Goutam Bhat, Martin Danelljan, Fahad Shahbaz Khan, Michael Felsberg
On the Optimization of Advanced DCF-Trackers. ECCV Workshops (1) 2018: 54-69 - [c2]Goutam Bhat, Joakim Johnander, Martin Danelljan, Fahad Shahbaz Khan, Michael Felsberg
Unveiling the Power of Deep Tracking. ECCV (2) 2018: 493-509 - [i3]Goutam Bhat, Joakim Johnander, Martin Danelljan, Fahad Shahbaz Khan, Michael Felsberg:
Unveiling the Power of Deep Tracking. CoRR abs/1804.06833 (2018) - [i2]Joakim Johnander, Martin Danelljan, Emil Brissman, Fahad Shahbaz Khan, Michael Felsberg:
A Generative Appearance Model for End-to-end Video Object Segmentation. CoRR abs/1811.11611 (2018) - 2017
- [c1]Joakim Johnander, Martin Danelljan, Fahad Shahbaz Khan, Michael Felsberg
DCCO: Towards Deformable Continuous Convolution Operators for Visual Tracking. CAIP (1) 2017: 55-67 - [i1]Joakim Johnander, Martin Danelljan, Fahad Shahbaz Khan, Michael Felsberg:
DCCO: Towards Deformable Continuous Convolution Operators. CoRR abs/1706.02888 (2017)
Coauthor Index
aka: Rama Krishna Sai Subrahmanyam Gorthi
aka: Gorthi R. K. Sai Subrahmanyam
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