Joakim Johnander

According to our database, Joakim Johnander authored at least 23 papers between 2017 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2024

Towards trustworthy multi-modal motion prediction: Holistic evaluation and interpretability of outputs.

Sandra Carrasco Limeros, Sylwia Majchrowska, Joakim Johnander, Christoffer Petersson, Miguel Ángel Sotelo, David Fernández Llorca

CAAI Trans. Intell. Technol., 2024

NeuroNCAP: Photorealistic Closed-Loop Safety Testing for Autonomous Driving.

William Ljungbergh, Adam Tonderski, Joakim Johnander, Holger Caesar, Kalle Åström, Michael Felsberg, Christoffer Petersson

Proceedings of the Computer Vision - ECCV 2024, 2024

Hinge-Wasserstein: Estimating Multimodal Aleatoric Uncertainty in Regression Tasks.

Ziliang Xiong, Arvi Jonnarth, Abdelrahman Eldesokey, Joakim Johnander, Bastian Wandt, Per-Erik Forssén

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2024

2023

Recurrent Graph Neural Networks for Video Instance Segmentation.

Emil Brissman, Joakim Johnander, Martin Danelljan, Michael Felsberg

Int. J. Comput. Vis., 2023

Hinge-Wasserstein: Mitigating Overconfidence in Regression by Classification.

Ziliang Xiong, Abdelrahman Eldesokey, Joakim Johnander, Bastian Wandt, Per-Erik Forssén

CoRR, 2023

Raw or Cooked? Object Detection on RAW Images.

William Ljungbergh, Joakim Johnander, Christoffer Petersson, Michael Felsberg

Proceedings of the Image Analysis - 22nd Scandinavian Conference, 2023

You can have your ensemble and run it too - Deep Ensembles Spread Over Time.

Isak Meding, Alexander Bodin, Adam Tonderski, Joakim Johnander, Christoffer Petersson, Lennart Svensson

Proceedings of the IEEE/CVF International Conference on Computer Vision, 2023

2022

Dynamic Visual Learning.

Joakim Johnander

PhD thesis, 2022

Towards Explainable Motion Prediction using Heterogeneous Graph Representations.

Sandra Carrasco Limeros, Sylwia Majchrowska, Joakim Johnander, Christoffer Petersson, David Fernández Llorca

CoRR, 2022

Towards Trustworthy Multi-Modal Motion Prediction: Evaluation and Interpretability.

Sandra Carrasco Limeros, Sylwia Majchrowska, Joakim Johnander, Christoffer Petersson, Miguel Ángel Sotelo, David Fernández Llorca

CoRR, 2022

Learning Future Object Prediction with a Spatiotemporal Detection Transformer.

Adam Tonderski, Joakim Johnander, Christoffer Petersson, Kalle Åström

CoRR, 2022

Dense Gaussian Processes for Few-Shot Segmentation.

Joakim Johnander, Johan Edstedt, Michael Felsberg, Fahad Shahbaz Khan, Martin Danelljan

Proceedings of the Computer Vision - ECCV 2022, 2022

2021

Deep Gaussian Processes for Few-Shot Segmentation.

Joakim Johnander, Johan Edstedt, Martin Danelljan, Michael Felsberg, Fahad Shahbaz Khan

CoRR, 2021

Predicting Signed Distance Functions for Visual Instance Segmentation.

Emil Brissman, Joakim Johnander, Michael Felsberg

Proceedings of the Swedish Artificial Intelligence Society Workshop, 2021

Video Instance Segmentation with Recurrent Graph Neural Networks.

Joakim Johnander, Emil Brissman, Martin Danelljan, Michael Felsberg

Proceedings of the Pattern Recognition - 43rd DAGM German Conference, DAGM GCPR 2021, Bonn, Germany, September 28, 2021

2020

Learning Video Instance Segmentation with Recurrent Graph Neural Networks.

Joakim Johnander, Emil Brissman, Martin Danelljan, Michael Felsberg

CoRR, 2020

2019

Semi-Automatic Annotation of Objects in Visual-Thermal Video.

Amanda Berg, Joakim Johnander, Flavie Durand de Gevigney, Jörgen Ahlberg, Michael Felsberg

Proceedings of the 2019 IEEE/CVF International Conference on Computer Vision Workshops, 2019

A Generative Appearance Model for End-To-End Video Object Segmentation.

Joakim Johnander, Martin Danelljan, Emil Brissman, Fahad Shahbaz Khan, Michael Felsberg

Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2019

2018

The Sixth Visual Object Tracking VOT2018 Challenge Results.

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 S. 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

Proceedings of the Computer Vision - ECCV 2018 Workshops, 2018

On the Optimization of Advanced DCF-Trackers.

Joakim Johnander, Goutam Bhat, Martin Danelljan, Fahad Shahbaz Khan, Michael Felsberg

Proceedings of the Computer Vision - ECCV 2018 Workshops, 2018

Unveiling the Power of Deep Tracking.

Goutam Bhat, Joakim Johnander, Martin Danelljan, Fahad Shahbaz Khan, Michael Felsberg

Proceedings of the Computer Vision - ECCV 2018, 2018

2017

DCCO: Towards Deformable Continuous Convolution Operators.

Joakim Johnander, Martin Danelljan, Fahad Shahbaz Khan, Michael Felsberg

CoRR, 2017

DCCO: Towards Deformable Continuous Convolution Operators for Visual Tracking.

Joakim Johnander, Martin Danelljan, Fahad Shahbaz Khan, Michael Felsberg

Proceedings of the Computer Analysis of Images and Patterns, 2017