Joakim Johnander

30 papers A* 1Journal 16Unranked 12
YearRankTypeTitle / Venue / Authors
2025 J jnl
CATPlan: Loss-based Collision Prediction in End-to-End Autonomous Driving.
CoRR
Ziliang Xiong, Shipeng Liu, Nathaniel Helgesen, Joakim Johnander, Per-Erik Forssén
2024 — conf
Hinge-Wasserstein: Estimating Multimodal Aleatoric Uncertainty in Regression Tasks.
CVPR Workshops
Ziliang Xiong, Arvi Jonnarth, Abdelrahman Eldesokey, Joakim Johnander, Bastian Wandt, Per-Erik Forssén
2024 — conf
NeuroNCAP: Photorealistic Closed-Loop Safety Testing for Autonomous Driving.
ECCV (30)
William Ljungbergh, Adam Tonderski, Joakim Johnander, Holger Caesar, Kalle Åström, Michael Felsberg, Christoffer Petersson
2024 J jnl
NeuroNCAP: Photorealistic Closed-loop Safety Testing for Autonomous Driving.
CoRR
William Ljungbergh, Adam Tonderski, Joakim Johnander, Holger Caesar, Kalle Åström, Michael Felsberg, Christoffer Petersson
2024 J jnl
Towards trustworthy multi-modal motion prediction: Holistic evaluation and interpretability of outputs.
CAAI Trans. Intell. Technol.
Sandra Carrasco Limeros, Sylwia Majchrowska, Joakim Johnander, Christoffer Petersson, Miguel Ángel Sotelo, David Fernández Llorca
2023 J jnl
Hinge-Wasserstein: Mitigating Overconfidence in Regression by Classification.
CoRR
Ziliang Xiong, Abdelrahman Eldesokey, Joakim Johnander, Bastian Wandt, Per-Erik Forssén
2023 — conf
Raw or Cooked? Object Detection on RAW Images.
SCIA (1)
William Ljungbergh, Joakim Johnander, Christoffer Petersson, Michael Felsberg
2023 J jnl
Raw or Cooked? Object Detection on RAW Images.
CoRR
William Ljungbergh, Joakim Johnander, Christoffer Petersson, Michael Felsberg
2023 J jnl
Recurrent Graph Neural Networks for Video Instance Segmentation.
Int. J. Comput. Vis.
Emil Brissman, Joakim Johnander, Martin Danelljan, Michael Felsberg
2023 — conf
You can have your ensemble and run it too - Deep Ensembles Spread Over Time.
ICCV (Workshops)
Isak Meding, Alexander Bodin, Adam Tonderski, Joakim Johnander, Christoffer Petersson, Lennart Svensson
2023 J jnl
You can have your ensemble and run it too - Deep Ensembles Spread Over Time.
CoRR
Isak Meding, Alexander Bodin, Adam Tonderski, Joakim Johnander, Christoffer Petersson, Lennart Svensson
2022 — conf
Dense Gaussian Processes for Few-Shot Segmentation.
ECCV (29)
Joakim Johnander, Johan Edstedt, Michael Felsberg, Fahad Shahbaz Khan, Martin Danelljan
2022 — —
Dynamic Visual Learning.
Joakim Johnander
2022 J jnl
Learning Future Object Prediction with a Spatiotemporal Detection Transformer.
CoRR
Adam Tonderski, Joakim Johnander, Christoffer Petersson, Kalle Åström
2022 J jnl
Towards Explainable Motion Prediction using Heterogeneous Graph Representations.
CoRR
Sandra Carrasco Limeros, Sylwia Majchrowska, Joakim Johnander, Christoffer Petersson, David Fernández Llorca
2022 J jnl
Towards Trustworthy Multi-Modal Motion Prediction: Evaluation and Interpretability.
CoRR
Sandra Carrasco Limeros, Sylwia Majchrowska, Joakim Johnander, Christoffer Petersson, Miguel Ángel Sotelo, David Fernández Llorca
2021 J jnl
Deep Gaussian Processes for Few-Shot Segmentation.
CoRR
Joakim Johnander, Johan Edstedt, Martin Danelljan, Michael Felsberg, Fahad Shahbaz Khan
2021 J jnl
Dense Gaussian Processes for Few-Shot Segmentation.
CoRR
Joakim Johnander, Johan Edstedt, Michael Felsberg, Fahad Shahbaz Khan, Martin Danelljan
2021 — conf
Predicting Signed Distance Functions for Visual Instance Segmentation.
SAIS
Emil Brissman, Joakim Johnander, Michael Felsberg
2021 — conf
Video Instance Segmentation with Recurrent Graph Neural Networks.
GCPR
Joakim Johnander, Emil Brissman, Martin Danelljan, Michael Felsberg
2020 J jnl
Learning Video Instance Segmentation with Recurrent Graph Neural Networks.
CoRR
Joakim Johnander, Emil Brissman, Martin Danelljan, Michael Felsberg
2019 A* conf
A Generative Appearance Model for End-To-End Video Object Segmentation.
CVPR
Joakim Johnander, Martin Danelljan, Emil Brissman, Fahad Shahbaz Khan, Michael Felsberg
2019 — conf
Semi-Automatic Annotation of Objects in Visual-Thermal Video.
ICCV Workshops
Amanda Berg, Joakim Johnander, Flavie Durand de Gevigney, Jörgen Ahlberg, Michael Felsberg
2018 J jnl
A Generative Appearance Model for End-to-end Video Object Segmentation.
CoRR
Joakim Johnander, Martin Danelljan, Emil Brissman, Fahad Shahbaz Khan, Michael Felsberg
2018 — conf
On the Optimization of Advanced DCF-Trackers.
ECCV Workshops (1)
Joakim Johnander, Goutam Bhat, Martin Danelljan, Fahad Shahbaz Khan, Michael Felsberg
2018 — conf
The Sixth Visual Object Tracking VOT2018 Challenge Results.
ECCV Workshops (1)
Matej Kristan, Ales Leonardis, Jiri Matas, Michael Felsberg, Roman P. Pflugfelder, Luka Cehovin Zajc, Tomás Vojír, Goutam Bhat, Alan Lukezic, Abdelrahman Eldesokey, Gustavo Fernández, Álvaro García-Martín, Álvaro Iglesias-Arias, A. Aydin Alatan, Abel González-García, Alfredo Petrosino, Alireza Memarmoghadam, Andrea Vedaldi, Andrej Muhic, Anfeng He, Arnold W. M. Smeulders, Asanka G. Perera, Bo Li, Boyu Chen, Changick Kim, Changsheng Xu, Changzhen Xiong, Cheng Tian, Chong Luo, Chong Sun, Cong Hao, Daijin Kim, Deepak Mishra, Deming Chen, Dong Wang, Dongyoon Wee, Efstratios Gavves, Erhan Gundogdu, Erik Velasco-Salido, Fahad Shahbaz Khan, Fan Yang, Fei Zhao, Feng Li, Francesco Battistone, George De Ath, Gorthi R. K. Sai Subrahmanyam, Guilherme Sousa Bastos, Haibin Ling, Hamed Kiani Galoogahi, Hankyeol Lee, Haojie Li, Haojie Zhao, Heng Fan, Honggang Zhang, Horst Possegger, Houqiang Li, Huchuan Lu, Hui Zhi, Huiyun Li, Hyemin Lee, Hyung Jin Chang, Isabela Drummond, Jack Valmadre, Jaime Spencer Martin, Javaan Singh Chahl, Jin Young Choi, Jing Li, Jinqiao Wang, Jinqing Qi, Jinyoung Sung, Joakim Johnander, João F. Henriques, Jongwon Choi, Joost van de Weijer, Jorge Rodríguez Herranz, José M. Martínez, Josef Kittler, Junfei Zhuang, Junyu Gao, Klemen Grm, Lichao Zhang, Lijun Wang, Lingxiao Yang, Litu Rout, Liu Si, Luca Bertinetto, Lutao Chu, Manqiang Che, Mario Edoardo Maresca, Martin Danelljan, Ming-Hsuan Yang, Mohamed H. Abdelpakey, Mohamed Shehata, Myunggu Kang, Namhoon Lee, Ning Wang, Ondrej Miksik, Payman Moallem, Pablo Vicente-Moñivar, Pedro Senna, Peixia Li, Philip H. S. Torr, Priya Mariam Raju, Ruihe Qian, Qiang Wang, Qin Zhou, Qing Guo, Rafael Martin Nieto, Rama Krishna Sai Subrahmanyam Gorthi, Ran Tao, Richard Bowden, Richard M. Everson, Runling Wang, Sangdoo Yun, Seokeon Choi, Sergio Vivas, Shuai Bai, Shuangping Huang, Sihang Wu, Simon Hadfield, Siwen Wang, Stuart Golodetz, Ming Tang, Tianyang Xu, Tianzhu Zhang, Tobias Fischer, Vincenzo Santopietro, Vitomir Struc, Wei Wang, Wangmeng Zuo, Wei Feng, Wei Wu, Wei Zou, Weiming Hu, Wengang Zhou, Wenjun Zeng, Xiaofan Zhang, Xiaohe Wu, Xiao-Jun Wu, Xinmei Tian, Yan Li, Yan Lu, Yee Wei Law, Yi Wu, Yiannis Demiris, Yicai Yang, Yifan Jiao, Yuhong Li, Yunhua Zhang, Yuxuan Sun, Zheng Zhang, Zheng Zhu, Zhenhua Feng, Zhihui Wang, Zhiqun He
2018 — conf
Unveiling the Power of Deep Tracking.
ECCV (2)
Goutam Bhat, Joakim Johnander, Martin Danelljan, Fahad Shahbaz Khan, Michael Felsberg
2018 J jnl
Unveiling the Power of Deep Tracking.
CoRR
Goutam Bhat, Joakim Johnander, Martin Danelljan, Fahad Shahbaz Khan, Michael Felsberg
2017 — conf
DCCO: Towards Deformable Continuous Convolution Operators for Visual Tracking.
CAIP (1)
Joakim Johnander, Martin Danelljan, Fahad Shahbaz Khan, Michael Felsberg
2017 J jnl
DCCO: Towards Deformable Continuous Convolution Operators.
CoRR
Joakim Johnander, Martin Danelljan, Fahad Shahbaz Khan, Michael Felsberg