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ORCIDFredrik Gustafsson
Fredrik K. Gustafsson
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2020 – today
- 2024
[j105]Magnus Malmström, Isaac Skog, Daniel Axehill, Fredrik Gustafsson:
Uncertainty quantification in neural network classifiers - A local linear approach. Autom. 163: 111563 (2024)- [j104]Magnus Malmström
, Anton Kullberg, Isaac Skog, Daniel Axehill, Fredrik Gustafsson:
Extended Target Tracking Utilizing Machine-Learning Software-With Applications to Animal Classification. IEEE Signal Process. Lett. 31: 376-380 (2024) - [j103]Farnaz Adib Yaghmaie, Hamidreza Modares, Fredrik Gustafsson:
Reinforcement Learning for Partially Observable Linear Gaussian Systems Using Batch Dynamics of Noisy Observations. IEEE Trans. Autom. Control. 69(9): 6397-6404 (2024) - [c182]Jie Liang, Radu Timofte, Qiaosi Yi, Shuaizheng Liu, Lingchen Sun, Rongyuan Wu, Xindong Zhang, Hui Zeng, Lei Zhang, Yibin Huang, Shuai Liu, Yongqiang Li, Chaoyu Feng, Xiaotao Wang, Lei Lei, Yuxiang Chen, Xiangyu Chen, Qiubo Chen, Fengyu Sun, Mengying Cui, Jiaxu Chen, Zhenyu Hu, Jingyun Liu, Wenzhuo Ma, Ce Wang, Hanyou Zheng, Wanjie Sun, Zhenzhong Chen, Ziwei Luo, Fredrik K. Gustafsson, Zheng Zhao, Jens Sjölund, Thomas B. Schön, Xiong Dun, Pengzhou Ji, Yujie Xing, Xuquan Wang, Zhanshan Wang, Xinbin Cheng, Jun Xiao, Chenhang He, Xiuyuan Wang, Zhi-Song Liu, Zimeng Miao, Zhicun Yin, Ming Liu, Wangmeng Zuo, Shuai Li:
NTIRE 2024 Restore Any Image Model (RAIM) in the Wild Challenge. CVPR Workshops 2024: 6632-6640 - [c181]Ziwei Luo, Fredrik K. Gustafsson, Zheng Zhao, Jens Sjölund, Thomas B. Schön:
Photo-Realistic Image Restoration in the Wild with Controlled Vision-Language Models. CVPR Workshops 2024: 6641-6651 - [c180]Daniel Goderik, Albin Westlund, Gustav Zetterqvist, Fredrik Gustafsson, Gustaf Hendeby:
Seismic Detection of Elephant Footsteps. FUSION 2024: 1-8 - [c179]Ziwei Luo, Fredrik K. Gustafsson, Zheng Zhao, Jens Sjölund, Thomas B. Schön:
Controlling Vision-Language Models for Multi-Task Image Restoration. ICLR 2024 - [c178]Jakob Åslund, Fredrik Gustafsson, Gustaf Hendeby:
Illustrative Examples and Possible Explanation for an Unexpected Behaviour of the Particle Filter. MFI 2024: 1-8 - [i30]Ziwei Luo, Fredrik K. Gustafsson, Zheng Zhao, Jens Sjölund, Thomas B. Schön:
Photo-Realistic Image Restoration in the Wild with Controlled Vision-Language Models. CoRR abs/2404.09732 (2024) - [i29]Ziwei Luo, Fredrik K. Gustafsson, Zheng Zhao, Jens Sjölund, Thomas B. Schön:
Taming Diffusion Models for Image Restoration: A Review. CoRR abs/2409.10353 (2024) - [i28]Fredrik K. Gustafsson, Mattias Rantalainen:
Evaluating Deep Regression Models for WSI-Based Gene-Expression Prediction. CoRR abs/2410.00945 (2024) - [i27]Fredrik K. Gustafsson, Mattias Rantalainen:
Evaluating Computational Pathology Foundation Models for Prostate Cancer Grading under Distribution Shifts. CoRR abs/2410.06723 (2024) - 2023
- [j102]Farnaz Adib Yaghmaie, Fredrik Gustafsson, Lennart Ljung:
Linear Quadratic Control Using Model-Free Reinforcement Learning. IEEE Trans. Autom. Control. 68(2): 737-752 (2023) - [j101]Fredrik K. Gustafsson, Martin Danelljan, Thomas B. Schön:
How Reliable is Your Regression Model's Uncertainty Under Real-World Distribution Shifts? Trans. Mach. Learn. Res. 2023 (2023) - [c177]Longguang Wang, Yulan Guo, Yingqian Wang, Juncheng Li, Shuhang Gu, Radu Timofte, Ming Cheng, Haoyu Ma, Qiufang Ma, Xiaopeng Sun, Shijie Zhao, Xuhan Sheng, Yukang Ding, Ming Sun, Xing Wen, Dafeng Zhang, Jia Li, Fan Wang, Zheng Xie, Zongyao He, Zidian Qiu, Zilin Pan, Zhihao Zhan, Xingyuan Xian, Zhi Jin, Yuanbo Zhou, Wei Deng, Ruofeng Nie, Jiajun Zhang, Qinquan Gao, Tong Tong, Kexin Zhang, Junpei Zhang, Rui Peng, Yanbiao Ma, Licheng Jiao, Haoran Bai, Lingshun Kong, Jinshan Pan, Jiangxin Dong, Jinhui Tang, Pu Cao, Tianrui Huang, Lu Yang, Qing Song, Bingxin Chen, Chunhua He, Meiyun Chen, Zijie Guo, Shaojuan Luo, Chengzhi Cao, Kunyu Wang, Fanrui Zhang, Qiang Zhang, Nancy Mehta, Subrahmanyam Murala, Akshay Dudhane, Yujin Wang, Lingen Li, Garas Gendy, Nabil Sabor, Jingchao Hou, Guanghui He, Junyang Chen, Hao Li, Yukai Shi, Zhijing Yang, Wenbin Zou, Yunchen Zhang, Mingchao Jiang, Zhongxin Yu, Ming Tan, Hongxia Gao, Ziwei Luo, Fredrik K. Gustafsson, Zheng Zhao, Jens Sjölund, Thomas B. Schön, Jingxiang Chen, Bo Yang, XiSheryl Zhang, Chenghua Li, Weijun Yuan, Zhan Li, Ruting Deng, Jintao Zeng, Pulkit Mahajan, Sahaj Mistry, Shreyas Chatterjee, Vinit Jakhetiya, Badri N. Subudhi, Sunil Prasad Jaiswal, Zhao Zhang, Huan Zheng, Suiyi Zhao, Yangcheng Gao, Yanyan Wei, Bo Wang, Gen Li, Aijin Li, Lei Sun, Ke Chen, Congling Tang, Yunzhe Li, Jun Chen, Yuan-Chun Chiang, Yi-Chung Chen, Zhi-Kai Huang, Hao-Hsiang Yang, I-Hsiang Chen, Sy-Yen Kuo, Yiheng Wang, Gang Zhu, Xingyi Yang, Songhua Liu, Yongcheng Jing, Xingyu Hu, Jianwen Song, Changming Sun, Arcot Sowmya, Seung Ho Park, Xiaoyan Lei, Jingchao Wang, Chenbo Zhai, Yufei Zhang, Weifeng Cao, Wenlong Zhang:
NTIRE 2023 Challenge on Stereo Image Super-Resolution: Methods and Results. CVPR Workshops 2023: 1346-1372 - [c176]Marcos V. Conde, Manuel Kolmet, Tim Seizinger, Tom E. Bishop, Radu Timofte, Xiangyu Kong, Dafeng Zhang, Jinlong Wu, Fan Wang, Juewen Peng, Zhiyu Pan, Chengxin Liu, Xianrui Luo, Huiqiang Sun, Liao Shen, Zhiguo Cao, Ke Xian, Chaowei Liu, Zigeng Chen, Xingyi Yang, Songhua Liu, Yongcheng Jing, Michael Bi Mi, Xinchao Wang, Zhihao Yang, Wenyi Lian, Siyuan Lai, Haichuan Zhang, Trung Hoang, Amirsaeed Yazdani, Vishal Monga, Ziwei Luo, Fredrik K. Gustafsson, Zheng Zhao, Jens Sjölund, Thomas B. Schön, Yuxuan Zhao, Baoliang Chen, Yiqing Xu, JiXiangNiu:
Lens-to-Lens Bokeh Effect Transformation. NTIRE 2023 Challenge Report. CVPR Workshops 2023: 1643-1659 - [c175]Ziwei Luo, Fredrik K. Gustafsson, Zheng Zhao, Jens Sjölund, Thomas B. Schön:
Refusion: Enabling Large-Size Realistic Image Restoration with Latent-Space Diffusion Models. CVPR Workshops 2023: 1680-1691 - [c174]Florin-Alexandru Vasluianu, Tim Seizinger, Radu Timofte, Shuhao Cui, Junshi Huang, Shuman Tian, Mingyuan Fan, Jiaqi Zhang, Li Zhu, Xiaoming Wei, Xiaolin Wei, Ziwei Luo, Fredrik K. Gustafsson, Zheng Zhao, Jens Sjölund, Thomas B. Schön, Xiaoyi Dong, Xi Sheryl Zhang, Chenghua Li, Cong Leng, Woon-Ha Yeo, Wang-Taek Oh, Yeoreum Lee, Han-Cheol Ryu, Jinting Luo, Chengzhi Jiang, Mingyan Han, Qi Wu, Wenjie Lin, Lei Yu, Xinpeng Li, Ting Jiang, Haoqiang Fan, Shuaicheng Liu, Shuning Xu, Binbin Song, Xiangyu Chen, Shile Zhang, Jiantao Zhou, Zhao Zhang, Suiyi Zhao, Huan Zheng, Yangcheng Gao, Yanyan Wei, Bo Wang, Jiahuan Ren, Yan Luo, Yuki Kondo, Riku Miyata, Fuma Yasue, Taito Naruki, Norimichi Ukita, Hua-En Chang, Hao-Hsiang Yang, Yi-Chung Chen, Yuan-Chun Chiang, Zhi-Kai Huang, Wei-Ting Chen, I-Hsiang Chen, Chia-Hsuan Hsieh, Sy-Yen Kuo, Xianwei Li, Huiyuan Fu, Chunlin Liu, Huadong Ma, Binglan Fu, Huiming He, Mengjia Wang, Wenxuan She, Yu Liu, Sabari Nathan, Priya Kansal, Zhongjian Zhang, Huabin Yang, Yan Wang, Yanru Zhang, Shruti S. Phutke, Ashutosh Kulkarni, Md Raqib Khan, Subrahmanyam Murala, Santosh Kumar Vipparthi, Heng Ye, Zixi Liu, Xingyi Yang, Songhua Liu, Yinwei Wu, Yongcheng Jing, Qianhao Yu, Naishan Zheng, Jie Huang, Yuhang Long, Mingde Yao, Feng Zhao, Bowen Zhao, Nan Ye, Ning Shen, Yanpeng Cao, Tong Xiong, Weiran Xia, Dingwen Li, Shuchen Xia:
NTIRE 2023 Image Shadow Removal Challenge Report. CVPR Workshops 2023: 1788-1807 - [c173]Codruta O. Ancuti, Cosmin Ancuti, Florin-Alexandru Vasluianu, Radu Timofte, Han Zhou, Wei Dong, Yangyi Liu, Jun Chen, Huan Liu, Liangyan Li, Zijun Wu, Yubo Dong, Yuyan Li, Tian Qiu, Yu He, Yonghong Lu, Yinwei Wu, Zhenxiang Jiang, Songhua Liu, Xingyi Yang, Yongcheng Jing, Bilel Benjdira, Anas M. Ali, Anis Koubaa, Hao-Hsiang Yang, I-Hsiang Chen, Wei-Ting Chen, Zhi-Kai Huang, Yi-Chung Chen, Chia-Hsuan Hsieh, Hua-En Chang, Yuan-Chun Chiang, Sy-Yen Kuo, Yu Guo, Yuan Gao, Ryan Wen Liu, Yuxu Lu, Jingxiang Qu, Shengfeng He, Wenqi Ren, Trung Hoang, Haichuan Zhang, Amirsaeed Yazdani, Vishal Monga, Lehan Yang, Alex Jiahao Wu, Tiancheng Mai, Xiaofeng Cong, Xuemeng Yin, Xuefei Yin, Hazim Emad, Ahmed Abdallah, Yahya Yasser, Dalia Elshahat, Esraa Elbaz, Zhan Li, Wenqing Kuang, Ziwei Luo, Fredrik K. Gustafsson, Zheng Zhao, Jens Sjölund, Thomas B. Schön, Zhao Zhang, Yanyan Wei, Junhu Wang, Suiyi Zhao, Huan Zheng, Jin Guo, Yangfan Sun, Tianli Liu, Dejun Hao, Kui Jiang, Anjali Sarvaiya, Kalpesh Prajapati, Ratnadeep Patra, Pragnesh Barik, Chaitanya Rathod, Kishor P. Upla, Kiran B. Raja, Raghavendra Ramachandra, Christoph Busch:
NTIRE 2023 HR NonHomogeneous Dehazing Challenge Report. CVPR Workshops 2023: 1808-1825 - [c172]Peng Liu, Kailai Li, Gustaf Hendeby, Fredrik Gustafsson:
Weighted Total Least Squares for Quadratic Errors-in-Variables Regression. EUSIPCO 2023: 1893-1897 - [c171]Jakob Åslund, Fredrik Gustafsson, Gustaf Hendeby:
When Does the Marginalized Particle Filter Degenerate? FUSION 2023: 1-7 - [c170]Robin Forsling, Zoran Sjanic, Fredrik Gustafsson, Gustaf Hendeby:
Track-To-Track Association for Fusion of Dimension-Reduced Estimates. FUSION 2023: 1-8 - [c169]Gustav Zetterqvist, Erik Wahledow, Philip Sjövik, Fredrik Gustafsson, Gustaf Hendeby:
Elephant DOA Estimation using a Geophone Network. FUSION 2023: 1-6 - [c168]Gustav Zetterqvist, Fredrik Gustafsson, Gustaf Hendeby:
Using Received Power in Microphone Arrays to Estimate Direction of Arrival. ICASSP 2023: 1-5 - [c167]Ziwei Luo, Fredrik K. Gustafsson, Zheng Zhao, Jens Sjölund, Thomas B. Schön:
Image Restoration with Mean-Reverting Stochastic Differential Equations. ICML 2023: 23045-23066 - [i26]Ziwei Luo, Fredrik K. Gustafsson, Zheng Zhao, Jens Sjölund, Thomas B. Schön:
Image Restoration with Mean-Reverting Stochastic Differential Equations. CoRR abs/2301.11699 (2023) - [i25]Fredrik K. Gustafsson, Martin Danelljan, Thomas B. Schön:
How Reliable is Your Regression Model's Uncertainty Under Real-World Distribution Shifts? CoRR abs/2302.03679 (2023) - [i24]Magnus Malmström, Isaac Skog, Daniel Axehill, Fredrik Gustafsson:
Uncertainty quantification in neural network classifiers - a local linear approach. CoRR abs/2303.07114 (2023) - [i23]Ziwei Luo, Fredrik K. Gustafsson, Zheng Zhao, Jens Sjölund, Thomas B. Schön:
Refusion: Enabling Large-Size Realistic Image Restoration with Latent-Space Diffusion Models. CoRR abs/2304.08291 (2023) - [i22]Magnus Malmström, Isaac Skog, Daniel Axehill, Fredrik Gustafsson:
On the validity of using the delta method for calculating the uncertainty of the predictions from an overparameterized model. CoRR abs/2307.01031 (2023) - [i21]Ziwei Luo, Fredrik K. Gustafsson, Zheng Zhao, Jens Sjölund, Thomas B. Schön:
Controlling Vision-Language Models for Universal Image Restoration. CoRR abs/2310.01018 (2023) - [i20]Magnus Malmström, Anton Kullberg, Isaac Skog, Daniel Axehill, Fredrik Gustafsson:
Extended target tracking utilizing machine-learning software - with applications to animal classification. CoRR abs/2310.08316 (2023) - 2022
- [j100]Robin Forsling, Anders Hansson, Fredrik Gustafsson, Zoran Sjanic, Johan Löfberg, Gustaf Hendeby:
Conservative Linear Unbiased Estimation Under Partially Known Covariances. IEEE Trans. Signal Process. 70: 3123-3135 (2022) - [c166]Fredrik K. Gustafsson, Martin Danelljan, Thomas B. Schön:
Learning Proposals for Practical Energy-Based Regression. AISTATS 2022: 4685-4704 - [c165]Jakob Åslund, Fredrik Gustafsson, Gustaf Hendeby:
On Covariance Matrix Degeneration in Marginalized Particle Filters with Constant Velocity Models. FUSION 2022: 1-8 - [c164]Robin Forsling, Zoran Sjanic, Fredrik Gustafsson, Gustaf Hendeby:
Optimal Linear Fusion of Dimension-Reduced Estimates Using Eigenvalue Optimization. FUSION 2022: 1-8 - [c163]Magnus Malmström, Isaac Skog, Daniel Axehill, Fredrik Gustafsson:
Detection of outliers in classification by using quantified uncertainty in neural networks. FUSION 2022: 1-7 - [c162]Clas Veibäck, Martin A. Skoglund, Gustaf Hendeby, Fredrik Gustafsson:
Linearized Direction of Arrival. FUSION 2022: 1-8 - [c161]Peng Liu, Gustaf Hendeby, Fredrik Gustafsson:
Joint Estimation of States and Parameters in Stochastic SIR Model. MFI 2022: 1-6 - [i19]Robin Forsling, Fredrik Gustafsson, Zoran Sjanic, Gustaf Hendeby:
Decentralized State Estimation In A Dimension-Reduced Linear Regression. CoRR abs/2210.06947 (2022) - [i18]Philipp Von Bachmann, Daniel Gedon, Fredrik K. Gustafsson, Antônio H. Ribeiro, Erik Lampa, Stefan Gustafsson, Johan Sundström, Thomas B. Schön:
ECG-Based Electrolyte Prediction: Evaluating Regression and Probabilistic Methods. CoRR abs/2212.13890 (2022) - 2021
- [j99]Taro Langner, Fredrik K. Gustafsson, Benny Avelin, Robin Strand, Håkan Ahlström, Joel Kullberg:
Uncertainty-aware body composition analysis with deep regression ensembles on UK Biobank MRI. Comput. Medical Imaging Graph. 93: 101994 (2021) - [j98]Martin Lindfors, Gustaf Hendeby, Fredrik Gustafsson, Rickard Karlsson:
Frequency Tracking of Wheel Vibrations. IEEE Trans. Control. Syst. Technol. 29(3): 1304-1309 (2021) - [c160]Fredrik K. Gustafsson, Martin Danelljan, Thomas B. Schön:
Accurate 3D Object Detection Using Energy-Based Models. CVPR Workshops 2021: 2855-2864 - [c159]Magnus Malmström, Isaac Skog, Daniel Axehill, Fredrik Gustafsson:
Modeling of the tire-road friction using neural networks including quantification of the prediction uncertainty. FUSION 2021: 1-6 - [c158]Carl H. Schiller, Stefano Maranò, Deran Maas, Bruno Arsenali, Alf J. Isaksson, Fredrik Gustafsson:
Robust naval localization using a particle filter on polar amplitude gridmaps. FUSION 2021: 1-8 - [i17]Taro Langner, Fredrik K. Gustafsson, Benny Avelin, Robin Strand, Håkan Ahlström, Joel Kullberg:
Uncertainty-Aware Body Composition Analysis with Deep Regression Ensembles on UK Biobank MRI. CoRR abs/2101.06963 (2021) - [i16]Fredrik K. Gustafsson, Martin Danelljan, Thomas B. Schön:
Learning Proposals for Practical Energy-Based Regression. CoRR abs/2110.11948 (2021) - 2020
- [j97]Kristian Soltesz, Fredrik Gustafsson, Toomas Timpka, Joakim Jaldén, Carl Jidling, Albin Heimerson, Thomas B. Schön, Armin Spreco, Joakim Ekberg, Örjan Dahlström, Fredrik Bagge Carlson, Anna Jöud, Bo Bernhardsson:
The effect of interventions on COVID-19. Nat. 588(7839): E26-E28 (2020) - [j96]Parinaz Kasebzadeh, Kamiar Radnosrati, Gustaf Hendeby, Fredrik Gustafsson:
Joint Pedestrian Motion State and Device Pose Classification. IEEE Trans. Instrum. Meas. 69(8): 5862-5874 (2020) - [j95]Di Jin, Feng Yin, Carsten Fritsche, Fredrik Gustafsson, Abdelhak M. Zoubir:
Bayesian Cooperative Localization Using Received Signal Strength With Unknown Path Loss Exponent: Message Passing Approaches. IEEE Trans. Signal Process. 68: 1120-1135 (2020) - [j94]Kamiar Radnosrati, Gustaf Hendeby, Fredrik Gustafsson:
Exploring Positive Noise in Estimation Theory. IEEE Trans. Signal Process. 68: 3590-3602 (2020) - [j93]Kamiar Radnosrati, Carsten Fritsche, Fredrik Gunnarsson, Fredrik Gustafsson, Gustaf Hendeby:
Localization in 3GPP LTE Based on One RTT and One TDOA Observation. IEEE Trans. Veh. Technol. 69(3): 3399-3411 (2020) - [c157]Fredrik Gustafsson, Martin Danelljan, Radu Timofte, Thomas B. Schön:
How to Train Your Energy-Based Model for Regression. BMVC 2020 - [c156]Fredrik K. Gustafsson, Martin Danelljan, Thomas B. Schön:
Evaluating Scalable Bayesian Deep Learning Methods for Robust Computer Vision. CVPR Workshops 2020: 1289-1298 - [c155]Fredrik K. Gustafsson, Martin Danelljan, Goutam Bhat, Thomas B. Schön:
Energy-Based Models for Deep Probabilistic Regression. ECCV (20) 2020: 325-343 - [c154]Matej Kristan, Ales Leonardis, Jiri Matas, Michael Felsberg, Roman P. Pflugfelder, Joni-Kristian Kämäräinen, Martin Danelljan, Luka Cehovin Zajc, Alan Lukezic, Ondrej Drbohlav, Linbo He, Yushan Zhang, Song Yan, Jinyu Yang, Gustavo Fernández, Alexander G. Hauptmann, Alireza Memarmoghadam, Álvaro García-Martín, Andreas Robinson, Anton Varfolomieiev, Awet Haileslassie Gebrehiwot, Bedirhan Uzun, Bin Yan, Bing Li, Chen Qian, Chi-Yi Tsai, Christian Micheloni, Dong Wang, Fei Wang, Fei Xie, Felix Järemo Lawin, Fredrik Gustafsson, Gian Luca Foresti, Goutam Bhat, Guangqi Chen, Haibin Ling, Haitao Zhang, Hakan Cevikalp, Haojie Zhao, Haoran Bai, Hari Chandana Kuchibhotla, Hasan Saribas, Heng Fan, Hossein Ghanei-Yakhdan, Houqiang Li, Houwen Peng, Huchuan Lu, Hui Li, Javad Khaghani, Jesús Bescós, Jianhua Li, Jianlong Fu, Jiaqian Yu, Jingtao Xu, Josef Kittler, Jun Yin, Junhyun Lee, Kaicheng Yu, Kaiwen Liu, Kang Yang, Kenan Dai, Li Cheng, Li Zhang, Lijun Wang, Linyuan Wang, Luc Van Gool, Luca Bertinetto, Matteo Dunnhofer, Miao Cheng, Mohana Murali Dasari, Ning Wang, Pengyu Zhang, Philip H. S. Torr, Qiang Wang, Radu Timofte, Rama Krishna Sai Subrahmanyam Gorthi, Seokeon Choi, Seyed Mojtaba Marvasti-Zadeh, Shao-Chuan Zhao, Shohreh Kasaei, Shoumeng Qiu, Shuhao Chen, Thomas B. Schön, Tianyang Xu, Wei Lu, Weiming Hu, Wengang Zhou, Xi Qiu, Xiao Ke, Xiao-Jun Wu, Xiaolin Zhang, Xiaoyun Yang, Xuefeng Zhu, Yingjie Jiang, Yingming Wang, Yiwei Chen, Yu Ye, Yuezhou Li, Yuncon Yao, Yunsung Lee, Yuzhang Gu, Zezhou Wang, Zhangyong Tang, Zhenhua Feng, Zhijun Mai, Zhipeng Zhang, Zhirong Wu, Ziang Ma:
The Eighth Visual Object Tracking VOT2020 Challenge Results. ECCV Workshops (5) 2020: 547-601 - [c153]Robin Forsling, Zoran Sjanic, Fredrik Gustafsson, Gustaf Hendeby:
Communication Efficient Decentralized Track Fusion Using Selective Information Extraction. FUSION 2020: 1-8 - [c152]Jonatan Olofsson, Gustaf Hendeby, Fredrik Gustafsson, Deran Maas, Stefano Maranò:
GNSS-Free Maritime Navigation using Radar and Digital Elevation Models. FUSION 2020: 1-8 - [c151]Clas Veibäck, Martin A. Skoglund, Fredrik Gustafsson, Gustaf Hendeby:
Sound Source Localization and Reconstruction Using a Wearable Microphone Array and Inertial Sensors. FUSION 2020: 1-8 - [i15]Fredrik K. Gustafsson, Martin Danelljan, Radu Timofte, Thomas B. Schön:
How to Train Your Energy-Based Model for Regression. CoRR abs/2005.01698 (2020) - [i14]Johannes N. Hendriks, Fredrik K. Gustafsson, Antônio H. Ribeiro, Adrian G. Wills, Thomas B. Schön:
Deep Energy-Based NARX Models. CoRR abs/2012.04136 (2020) - [i13]Fredrik K. Gustafsson, Martin Danelljan, Thomas B. Schön:
Accurate 3D Object Detection using Energy-Based Models. CoRR abs/2012.04634 (2020)
2010 – 2019
- 2019
- [j92]Clas Veiback, Gustaf Hendeby, Fredrik Gustafsson:
Uncertain Timestamps in Linear State Estimation. IEEE Trans. Aerosp. Electron. Syst. 55(3): 1334-1346 (2019) - [c150]Farnaz Adib Yaghmaie, Fredrik Gustafsson:
Using Reinforcement Learning for Model-free Linear Quadratic Control with Process and Measurement Noises. CDC 2019: 6510-6517 - [c149]Robin Forsling, Zoran Sjanic, Fredrik Gustafsson, Gustaf Hendeby:
Consistent Distributed Track Fusion Under Communication Constraints. FUSION 2019: 1-8 - [c148]Martin A. Skoglund, Fredrik Gustafsson, Gustaf Hendeby:
On Iterative Unscented Kalman Filter using Optimization. FUSION 2019: 1-8 - [i12]Fredrik K. Gustafsson, Martin Danelljan, Thomas B. Schön:
Evaluating Scalable Bayesian Deep Learning Methods for Robust Computer Vision. CoRR abs/1906.01620 (2019) - [i11]Parinaz Kasebzadeh, Gustaf Hendeby, Fredrik Gustafsson:
Asynchronous Averaging of Gait Cycles for Classification of Gait and Device Modes. CoRR abs/1907.02329 (2019) - [i10]Fredrik K. Gustafsson, Martin Danelljan, Goutam Bhat, Thomas B. Schön:
DCTD: Deep Conditional Target Densities for Accurate Regression. CoRR abs/1909.12297 (2019) - 2018
- [j91]Henri Nurminen, Tohid Ardeshiri, Robert Piché, Fredrik Gustafsson:
Skew-t Filter and Smoother With Improved Covariance Matrix Approximation. IEEE Trans. Signal Process. 66(21): 5618-5633 (2018) - [j90]Yuxin Zhao, Carsten Fritsche, Feng Yin, Fredrik Gunnarsson, Fredrik Gustafsson:
Sequential Monte Carlo Methods and Theoretical Bounds for Proximity Report Based Indoor Positioning. IEEE Trans. Veh. Technol. 67(6): 5372-5386 (2018) - [c147]Carsten Fritsche, Umut Orguner, Fredrik Gustafsson:
Bobrovsky-Zakai Bound for Filtering, Prediction and Smoothing of Nonlinear Dynamic Systems. FUSION 2018: 171-178 - [c146]Isaac Skog, Gustaf Hendeby, Fredrik Gustafsson:
Magnetic Odometry - A Model-Based Approach Using a Sensor Array. FUSION 2018: 794-798 - [c145]Isaac Skog, Joakim Jaldén, John-Olof Nilsson, Fredrik Gustafsson:
Position and orientation estimation of a permanent magnet using a small-scale sensor array. I2MTC 2018: 1-5 - [c144]Carsten Fritsche, Umut Orguner, Emre Özkan, Fredrik Gustafsson:
Marginal Bayesian Bhattacharyya Bounds for Discrete-Time Filtering. ICASSP 2018: 4289-4293 - 2017
- [j89]Michael Roth, Gustaf Hendeby, Carsten Fritsche, Fredrik Gustafsson:
The Ensemble Kalman filter: a signal processing perspective. EURASIP J. Adv. Signal Process. 2017: 56 (2017) - [j88]Rafael Rui, Tohid Ardeshiri, Henri Nurminen, Alexandre S. Bazanella, Fredrik Gustafsson:
State Estimation for a Class of Piecewise Affine State-Space Models. IEEE Signal Process. Lett. 24(1): 61-65 (2017) - [j87]Rickard Karlsson, Fredrik Gustafsson:
The Future of Automotive Localization Algorithms: Available, reliable, and scalable localization: Anywhere and anytime. IEEE Signal Process. Mag. 34(2): 60-69 (2017) - [j86]Zoran Sjanic, Martin A. Skoglund, Fredrik Gustafsson:
EM-SLAM With Inertial/Visual Applications. IEEE Trans. Aerosp. Electron. Syst. 53(1): 273-285 (2017) - [j85]Feng Yin, Yuxin Zhao, Fredrik Gunnarsson, Fredrik Gustafsson:
Received-Signal-Strength Threshold Optimization Using Gaussian Processes. IEEE Trans. Signal Process. 65(8): 2164-2177 (2017) - [c143]André R. Braga, Carsten Fritsche, Fredrik Gustafsson, Marcelo G. S. Bruno:
Rapid system identification for jump Markov non-linear systems. CAMSAP 2017: 1-5 - [c142]Carsten Fritsche, Fredrik Gustafsson:
Bayesian bhattacharyya bound for discrete-time filtering revisited. CAMSAP 2017: 1-5 - [c141]André R. Braga, Carsten Fritsche, Fredrik Gustafsson, Marcelo G. S. Bruno:
Gradient-based recursive maximum likelihood identification of Jump Markov Non-Linear Systems. FUSION 2017: 1-7 - [c140]Martin Lindfors, Gustaf Hendeby, Fredrik Gustafsson, Rickard Karlsson:
On frequency tracking in harmonic acoustic signals. FUSION 2017: 1-8 - [c139]Michael Roth, Fredrik Gustafsson:
Computation and visualization of posterior densities in scalar nonlinear and non-Gaussian Bayesian filtering and smoothing problems. ICASSP 2017: 4686-4690 - [c138]Carsten Fritsche, Rickard Karlsson, Olle Noren, Fredrik Gustafsson:
Map-aided multi-level indoor vehicle positioning. IPIN 2017: 1-8 - [c137]Parinaz Kasebzadeh, Gustaf Hendeby, Carsten Fritsche, Fredrik Gunnarsson, Fredrik Gustafsson:
IMU dataset for motion and device mode classification. IPIN 2017: 1-8 - [c136]Andreas Bergstrom, Gustaf Hendeby, Fredrik Gunnarsson, Fredrik Gustafsson:
TOA estimation improvements in multipath environments by measurement error models. PIMRC 2017: 1-7 - [c135]Kamiar Radnosrati, Gustaf Hendeby, Carsten Fritsche, Fredrik Gunnarsson, Fredrik Gustafsson:
Performance of OTDOA positioning in narrowband IoT systems. PIMRC 2017: 1-7 - [i9]Michael Roth, Gustaf Hendeby, Carsten Fritsche, Fredrik Gustafsson:
The Ensemble Kalman Filter: A Signal Processing Perspective. CoRR abs/1702.08061 (2017) - [i8]Michael Roth, Tohid Ardeshiri, Emre Özkan, Fredrik Gustafsson:
Robust Bayesian Filtering and Smoothing Using Student's t Distribution. CoRR abs/1703.02428 (2017) - 2016
- [j84]Yiming Wan, Tamás Keviczky, Michel Verhaegen, Fredrik Gustafsson:
Data-driven robust receding horizon fault estimation. Autom. 71: 210-221 (2016) - [j83]Carsten Fritsche, Fredrik Gustafsson:
The Marginal Bayesian Cramér-Rao Bound for Jump Markov Systems. IEEE Signal Process. Lett. 23(5): 575-579 (2016) - [c134]Emina Alickovic, Thomas Lunner, Fredrik Gustafsson:
A system identification approach to determining listening attention from EEG signals. EUSIPCO 2016: 31-35 - [c133]Parinaz Kasebzadeh, Carsten Fritsche, Gustaf Hendeby, Fredrik Gunnarsson, Fredrik Gustafsson:
Improved Pedestrian Dead Reckoning positioning with gait parameter learning. FUSION 2016: 379-385 - [c132]Carsten Fritsche, Umut Orguner, Lennart Svensson, Fredrik Gustafsson:
Recent results on Bayesian Cramér-Rao bounds for jump Markov systems. FUSION 2016: 512-520 - [c131]Bram Dil, Gustaf Hendeby, Fredrik Gustafsson, Bernhard J. Hoenders:
Approximate diagonalized covariance matrix for signals with correlated noise. FUSION 2016: 521-527 - [c130]Clas Veiback, Gustaf Hendeby, Fredrik Gustafsson:
On fusion of sensor measurements and observation with uncertain timestamp for target tracking. FUSION 2016: 1268-1275 - [c129]Jacob Sundqvist, Jonas Ekskog, Bram J. Dil, Fredrik Gustafsson, Jesper Tordenlid, Michael Petterstedt:
Feasibility study on smartphone localization using mobile anchors in search and rescue operations. FUSION 2016: 1448-1453 - [c128]Kamiar Radnosrati, Carsten Fritsche, Gustaf Hendeby, Fredrik Gunnarsson, Fredrik Gustafsson:
Fusion of TOF and TDOA for 3GPP positioning. FUSION 2016: 1454-1460 - [c127]Daniel Orn, Martin Szilassy, Bram Dil, Fredrik Gustafsson:
A novel multi-step algorithm for low-energy positioning using GPS. FUSION 2016: 1469-1476 - [c126]Hanna E. Nyqvist, Gustaf Hendeby, Fredrik Gustafsson:
On joint range and velocity estimation in detection and ranging sensors. FUSION 2016: 1674-1681 - [c125]