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ORCIDPer-Erik Forssén
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- affiliation: Linköping University, Sweden
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Books and Theses
- 2004
[b1]Per-Erik Forssén:
Low and Medium Level Vision Using Channel Representations. Linköping University, Sweden, 2004
Journal Articles
- 2024
- [j13]Simon Kristoffersson Lind, Ziliang Xiong
, Per-Erik Forssén, Volker Krüger:
Uncertainty quantification metrics for deep regression. Pattern Recognit. Lett. 186: 91-97 (2024) - 2020
- [j12]Anderson C. M. Tavares, Felix Järemo Lawin, Per-Erik Forssén:
Assessing Losses for Point Set Registration. IEEE Robotics Autom. Lett. 5(2): 3360-3367 (2020) - 2019
- [j11]Hannes Ovrén, Per-Erik Forssén:
Trajectory representation and landmark projection for continuous-time structure from motion. Int. J. Robotics Res. 38(6) (2019) - 2014
- [j10]Erik Ringaby, Ola Friman, Per-Erik Forssén, Thomas-Olsvik Opsahl, Trym Vegard Haavardsholm, Ingebjørg Kåsen:
Anisotropic Scattered Data Interpolation for Pushbroom Image Rectification. IEEE Trans. Image Process. 23(5): 2302-2314 (2014) - 2012
- [j9]Erik Ringaby, Per-Erik Forssén:
Efficient Video Rectification and Stabilisation for Cell-Phones. Int. J. Comput. Vis. 96(3): 335-352 (2012) - 2010
- [j8]Marcus Wallenberg, Per-Erik Forssén:
Embodied Object Recognition using Adaptive Target Observations. Cogn. Comput. 2(4): 316-325 (2010) - 2009
- [j7]Per-Erik Forssén, Anders Moe:
View matching with blob features. Image Vis. Comput. 27(1-2): 99-107 (2009) - [j6]Björn Johansson, Johan Wiklund, Per-Erik Forssén, Gösta H. Granlund:
Combining shadow detection and simulation for estimation of vehicle size and position. Pattern Recognit. Lett. 30(8): 751-759 (2009) - 2008
- [j5]David Meger, Per-Erik Forssén, Kevin Lai, Scott Helmer, Sancho McCann, Tristram Southey, Matthew A. Baumann, James J. Little, David G. Lowe:
Curious George: An attentive semantic robot. Robotics Auton. Syst. 56(6): 503-511 (2008) - 2006
- [j4]Klas Nordberg, Patrick Doherty, Per-Erik Forssén, Johan Wiklund, Per Andersson:
A Flexible Runtime System for Image Processing in a Distributed Computational Environment for an Unmanned Aerial Vehicle. Int. J. Pattern Recognit. Artif. Intell. 20(5): 763-780 (2006) - [j3]Björn Johansson, Tommy Elfving, Vladimir A. Kozlov, Yair Censor, Per-Erik Forssén, Gösta H. Granlund:
The application of an oblique-projected Landweber method to a model of supervised learning. Math. Comput. Model. 43(7-8): 892-909 (2006) - [j2]Michael Felsberg, Per-Erik Forssén, Hanno Scharr:
Channel Smoothing: Efficient Robust Smoothing of Low-Level Signal Features. IEEE Trans. Pattern Anal. Mach. Intell. 28(2): 209-222 (2006) - [j1]Luis Merino, Johan Wiklund, Fernando Caballero, Anders Moe, José Ramiro Martinez de Dios, Per-Erik Forssén, Klas Nordberg, Aníbal Ollero:
Vision-based multi-UAV position estimation. IEEE Robotics Autom. Mag. 13(3): 53-62 (2006)
Conference and Workshop Papers
- 2024
- [c40]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 - 2023
- [c39]Yushan Zhang, Johan Edstedt, Bastian Wandt, Per-Erik Forssén, Maria Magnusson, Michael Felsberg:
GMSF: Global Matching Scene Flow. NeurIPS 2023 - [c38]Emil Brissman, Per-Erik Forssén, Johan Edstedt:
Camera Calibration Without Camera Access - A Robust Validation Technique for Extended PnP Methods. SCIA (1) 2023: 34-49 - 2021
- [c37]Mikael Persson, Gustav Häger, Hannes Ovrén, Per-Erik Forssén:
Practical Pose Trajectory Splines With Explicit Regularization. 3DV 2021: 156-165 - [c36]Mikael Persson, Per-Erik Forssén:
Independently Moving Object Trajectories from Sequential Hierarchical Ransac. VISIGRAPP (5: VISAPP) 2021: 722-731 - 2020
- [c35]Felix Järemo Lawin, Per-Erik Forssén:
Registration Loss Learning for Deep Probabilistic Point Set Registration. 3DV 2020: 563-572 - 2018
- [c34]Hannes Ovrén, Per-Erik Forssén:
Spline Error Weighting for Robust Visual-Inertial Fusion. CVPR 2018: 321-329 - [c33]Felix Järemo Lawin, Martin Danelljan, Fahad Shahbaz Khan, Per-Erik Forssén, Michael Felsberg:
Density Adaptive Point Set Registration. CVPR 2018: 3829-3837 - 2017
- [c32]Jens Ogniewski, Per-Erik Forssén:
What Is the Best Depth-Map Compression for Depth Image Based Rendering? CAIP (2) 2017: 403-415 - [c31]Marcus Wallenberg, Per-Erik Forssén:
Attentional masking for pre-trained deep networks. IROS 2017: 6149-6154 - [c30]Gabriel Eilertsen, Per-Erik Forssén, Jonas Unger:
BriefMatch: Dense Binary Feature Matching for Real-Time Optical Flow Estimation. SCIA (1) 2017: 221-233 - [c29]Jens Ogniewski, Per-Erik Forssén:
Pushing the Limits for View Prediction in Video Coding. VISIGRAPP (4: VISAPP) 2017: 68-76 - 2016
- [c28]Marcus Wallenberg, Per-Erik Forssén:
Improving Random Forests by Correlation-Enhancing Projections and Sample-Based Sparse Discriminant Selection. CRV 2016: 222-227 - [c27]Felix Järemo Lawin, Per-Erik Forssén, Hannes Ovren:
Efficient Multi-frequency Phase Unwrapping Using Kernel Density Estimation. ECCV (4) 2016: 170-185 - 2015
- [c26]Hannes Ovren, Per-Erik Forssén:
Gyroscope-based video stabilisation with auto-calibration. ICRA 2015: 2090-2097 - 2014
- [c25]Erik Ringaby, Per-Erik Forssén:
A virtual tripod for hand-held video stacking on smartphones. ICCP 2014: 1-9 - [c24]Martin Lesmana, Axel Landgren, Per-Erik Forssén, Dinesh K. Pai:
Active gaze stabilization. ICVGIP 2014: 81:1-81:8 - 2012
- [c23]Marcus Wallenberg, Per-Erik Forssén:
Teaching Stereo Perception to YOUR Robot. BMVC 2012: 1-12 - [c22]Johan Hedborg, Per-Erik Forssén, Michael Felsberg, Erik Ringaby:
Rolling shutter bundle adjustment. CVPR 2012: 1434-1441 - 2011
- [c21]Marcus Wallenberg, Michael Felsberg, Per-Erik Forssén, Babette Dellen:
Channel Coding for Joint Colour and Depth Segmentation. DAGM-Symposium 2011: 306-315 - [c20]David Sandberg, Per-Erik Forssén, Jens Ogniewski:
Model-Based Video Coding Using Colour and Depth Cameras. DICTA 2011: 158-163 - [c19]Erik Ringaby, Per-Erik Forssén:
Scan rectification for structured light range sensors with rolling shutters. ICCV 2011: 1575-1582 - [c18]Gustav Hanning, Nicklas Forslow, Per-Erik Forssén, Erik Ringaby, David Törnqvist, Jonas Callmer:
Stabilizing cell phone video using inertial measurement sensors. ICCV Workshops 2011: 1-8 - [c17]Johan Hedborg, Erik Ringaby, Per-Erik Forssén, Michael Felsberg:
Structure and motion estimation from rolling shutter video. ICCV Workshops 2011: 17-23 - 2010
- [c16]Per-Erik Forssén, Erik Ringaby:
Rectifying rolling shutter video from hand-held devices. CVPR 2010: 507-514 - 2009
- [c15]Fredrik Larsson, Michael Felsberg, Per-Erik Forssén:
Patch Contour Matching by Correlating Fourier Descriptors. DICTA 2009: 40-46 - [c14]Fredrik Vikstén, Per-Erik Forssén, Björn Johansson, Anders Moe:
Comparison of local image descriptors for full 6 degree-of-freedom pose estimation. ICRA 2009: 2779-2786 - [c13]Johan Hedborg, Per-Erik Forssén, Michael Felsberg:
Fast and Accurate Structure and Motion Estimation. ISVC (1) 2009: 211-222 - 2008
- [c12]Per-Erik Forssén, David Meger, Kevin Lai, Scott Helmer, James J. Little, David G. Lowe:
Informed visual search: Combining attention and object recognition. ICRA 2008: 935-942 - 2007
- [c11]Scott Helmer, David Meger, Per-Erik Forssén, Tristram Southey, Sancho McCann, Pooyan Fazli, Jim Little, David G. Lowe:
The UBC Semantic Robot Vision System. AAAI 2007: 1983-1984 - [c10]Per-Erik Forssén:
Learning Saccadic Gaze Control via Motion Prediciton. CRV 2007: 44-54 - [c9]Per-Erik Forssén:
Maximally Stable Colour Regions for Recognition and Matching. CVPR 2007 - [c8]Per-Erik Forssén, David G. Lowe:
Shape Descriptors for Maximally Stable Extremal Regions. ICCV 2007: 1-8 - 2006
- [c7]Per-Erik Forssén, Anders Moe:
Autonomous Learning of Object Appearances using Colour Contour Frames. CRV 2006: 3 - 2005
- [c6]Per-Erik Forssén, Anders Moe:
View Matching with Blob Features. CRV 2005: 228-235 - 2004
- [c5]Per-Erik Forssén, Hagen Spies:
Multiple Motion Estimation Using Channel Matrices. IWCM 2004: 54-65 - 2003
- [c4]Hanno Scharr, Michael Felsberg, Per-Erik Forssén:
Noise Adaptive Channel Smoothing of Low-Dose Images. CVPR Workshops 2003: 18 - [c3]Per-Erik Forssén, Gösta H. Granlund:
Robust Multi-scale Extraction of Blob Features. SCIA 2003: 11-18 - [c2]Hagen Spies, Per-Erik Forssén:
Two-Dimensional Channel Representation for Multiple Velocities. SCIA 2003: 356-362 - 2000
- [c1]Per-Erik Forssén, Gösta H. Granlund:
Sparse Feature Maps in a Scale Hierarchy. AFPAC 2000: 186-196
Editorship
- 2019
- [e1]Michael Felsberg, Per-Erik Forssén, Ida-Maria Sintorn, Jonas Unger:
Image Analysis - 21st Scandinavian Conference, SCIA 2019, Norrköping, Sweden, June 11-13, 2019, Proceedings. Lecture Notes in Computer Science 11482, Springer 2019, ISBN 978-3-030-20204-0 [contents]
Informal and Other Publications
- 2024
- [i10]Simon Kristoffersson Lind, Ziliang Xiong, Per-Erik Forssén, Volker Krüger:
Uncertainty Quantification Metrics for Deep Regression. CoRR abs/2405.04278 (2024) - 2023
- [i9]Emil Brissman, Per-Erik Forssén, Johan Edstedt:
Camera Calibration without Camera Access - A Robust Validation Technique for Extended PnP Methods. CoRR abs/2302.06949 (2023) - [i8]Zahra Gharaee, Felix Järemo Lawin, Per-Erik Forssén:
Self-supervised learning of object pose estimation using keypoint prediction. CoRR abs/2302.07360 (2023) - [i7]Yushan Zhang, Johan Edstedt, Bastian Wandt, Per-Erik Forssén, Maria Magnusson, Michael Felsberg:
GMSF: Global Matching Scene Flow. CoRR abs/2305.17432 (2023) - [i6]Ziliang Xiong, Abdelrahman Eldesokey, Joakim Johnander, Bastian Wandt, Per-Erik Forssén:
Hinge-Wasserstein: Mitigating Overconfidence in Regression by Classification. CoRR abs/2306.00560 (2023) - 2020
- [i5]Felix Järemo Lawin, Per-Erik Forssén:
Registration Loss Learning for Deep Probabilistic Point Set Registration. CoRR abs/2011.02229 (2020) - 2018
- [i4]Felix Järemo Lawin, Martin Danelljan, Fahad Shahbaz Khan, Per-Erik Forssén, Michael Felsberg:
Density Adaptive Point Set Registration. CoRR abs/1804.01495 (2018) - [i3]Hannes Ovrén, Per-Erik Forssén:
Spline Error Weighting for Robust Visual-Inertial Fusion. CoRR abs/1804.04820 (2018) - [i2]Hannes Ovrén, Per-Erik Forssén:
Trajectory Representation and Landmark Projection for Continuous-Time Structure from Motion. CoRR abs/1805.02543 (2018) - 2016
- [i1]Felix Järemo Lawin, Per-Erik Forssén, Hannes Ovren:
Efficient Multi-Frequency Phase Unwrapping using Kernel Density Estimation. CoRR abs/1608.05209 (2016)
Coauthor Index
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last updated on 2024-11-06 21:35 CET by the dblp team
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