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Mikael G. Nilsson
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2020 – today
- 2022
- [c25]Håkan Ardö, Martin Ahrnbom, Mikael G. Nilsson:
Height Normalizing Image Transform for Efficient Scene Specific Pedestrian Detection. AVSS 2022: 1-11 - [c24]Martin Ahrnbom, Ivar Persson, Håkan Ardö, Mikael G. Nilsson:
Generalized Urban Traffic Surveillance (GUTS): World-Coordinate Tracking for Traffic Safety Applications. ITSC 2022: 3813-3818 - [c23]Ivar Persson, Martin Ahrnbom, Mikael G. Nilsson:
Monocular Estimation of Translation, Pose and 3D Shape on Detected Objects using a Convolutional Autoencoder. VISIGRAPP (5: VISAPP) 2022: 390-396 - [c22]Martin Ahrnbom, Ivar Persson, Mikael G. Nilsson:
Seg2Pose: Pose Estimations from Instance Segmentation Masks in One or Multiple Views for Traffic Applications. VISIGRAPP (5: VISAPP) 2022: 777-784 - 2021
- [c21]Martin Ahrnbom, Mikael G. Nilsson, Håkan Ardö:
Real-time and Online Segmentation Multi-target Tracking with Track Revival Re-identification. VISIGRAPP (5: VISAPP) 2021: 777-784 - 2020
- [j9]Yilin Ji, Wei Fan, Mikael G. Nilsson, Lassi Hentilä, Kristian Karlsson, Fredrik Tufvesson, Gert Frølund Pedersen:
Virtual Drive Testing Over-the-Air for Vehicular Communications. IEEE Trans. Veh. Technol. 69(2): 1203-1213 (2020) - [c20]Martin Ahrnbom, Mikael G. Nilsson, Håkan Ardö, Kalle Åström, Oksana Yastremska-Kravchenko, Aliaksei Laureshyn:
Calibration and Absolute Pose Estimation of Trinocular Linear Camera Array for Smart City Applications. ICPR 2020: 103-110
2010 – 2019
- 2019
- [c19]Håkan Ardö, Mikael G. Nilsson:
Multi Target Tracking from Drones by Learning from Generalized Graph Differences. ICCV Workshops 2019: 46-54 - [c18]Longyin Wen, Yue Zhang, Liefeng Bo, Hailin Shi, Rui Zhu, Ajit Jadhav, Bing Dong, Brejesh Lall, Chang Liu, Chunhui Zhang, Dong Wang, Pengfei Zhu, Feng Ni, Filiz Bunyak, Gaoang Wang, Guizhong Liu, Guna Seetharaman, Guorong Li, Håkan Ardö, Haotian Zhang, Hongyang Yu, Huchuan Lu, Dawei Du, Jenq-Neng Hwang, Jiatong Mu, Jinrong Hu, Kannappan Palaniappan, Long Chen, Lu Ding, Martin Lauer, Mikael G. Nilsson, Noor M. Al-Shakarji, Prerana Mukherjee, Xiao Bian, Qingming Huang, Robert Laganière, Shuhao Chen, Siyang Pan, Vinay Kaushik, Wei Shi, Wei Tian, Weiqiang Li, Xin Chen, Xinyu Zhang, Haibin Ling, Yanting Zhang, Yanyun Zhao, Yong Wang, Yuduo Song, Yuehan Yao, Zhaotang Chen, Zhenyu Xu, Zhibin Xiao, Zhihang Tong, Zhipeng Luo, Qinghua Hu, Zhuojin Sun, Jiayu Zheng, Tao Peng, Xinyao Wang:
VisDrone-MOT2019: The Vision Meets Drone Multiple Object Tracking Challenge Results. ICCV Workshops 2019: 189-198 - [i2]Håkan Ardö, Mikael G. Nilsson:
Multi Target Tracking by Learning from Generalized Graph Differences. CoRR abs/1908.06646 (2019) - 2018
- [j8]Oleksiy Guzhva, Håkan Ardö, Mikael G. Nilsson, Anders H. Herlin, Linda Tufvesson:
Now You See Me: Convolutional Neural Network Based Tracker for Dairy Cows. Frontiers Robotics AI 5: 107 (2018) - [j7]Håkan Ardö, Oleksiy Guzhva, Mikael G. Nilsson, Anders H. Herlin:
Convolutional neural network-based cow interaction watchdog. IET Comput. Vis. 12(2): 171-177 (2018) - [j6]Mikael G. Nilsson, Carl Gustafson, Taimoor Abbas, Fredrik Tufvesson:
A Path Loss and Shadowing Model for Multilink Vehicle-to-Vehicle Channels in Urban Intersections. Sensors 18(12): 4433 (2018) - [c17]Mikael G. Nilsson, Martin Ahrnbom, Håkan Ardö, Aliaksei Laureshyn:
A Search Space Strategy for Pedestrian Detection and Localization in World Coordinates. VISIGRAPP (5: VISAPP) 2018: 17-24 - 2017
- [j5]Mikael G. Nilsson, Carl Gustafson, Taimoor Abbas, Fredrik Tufvesson:
A Measurement-Based Multilink Shadowing Model for V2V Network Simulations of Highway Scenarios. IEEE Trans. Veh. Technol. 66(10): 8632-8643 (2017) - [c16]Martin Ahrnbom, Morten Borno Jensen, Kalle Åström, Mikael G. Nilsson, Håkan Ardö, Thomas B. Moeslund:
Improving a Real-Time Object Detector with Compact Temporal Information. ICCV Workshops 2017: 190-197 - [i1]Mikael G. Nilsson, Carl Gustafson, Taimoor Abbas, Fredrik Tufvesson:
A Measurement Based Multilink Shadowing Model for V2V Network Simulations of Highway Scenarios. CoRR abs/1703.00399 (2017) - 2016
- [j4]Oleksiy Guzhva, Håkan Ardö, Anders H. Herlin, Mikael G. Nilsson, Kalle Åström, Christer Bergsten:
Feasibility study for the implementation of an automatic system for the detection of social interactions in the waiting area of automatic milking stations by using a video surveillance system. Comput. Electron. Agric. 127: 506-509 (2016) - [c15]Martin Ahrnbom, Kalle Åström, Mikael G. Nilsson:
Fast Classification of Empty and Occupied Parking Spaces Using Integral Channel Features. CVPR Workshops 2016: 1609-1615 - [c14]Erik Bylow, Carl Olsson, Fredrik Kahl, Mikael G. Nilsson:
Minimizing the Maximal Rank. CVPR 2016: 5887-5895 - 2015
- [j3]Mikael G. Nilsson, Paul Hallbjörner, Niklas Araback, Bjorn Bergqvist, Taimoor Abbas, Fredrik Tufvesson:
Measurement Uncertainty, Channel Simulation, and Disturbance Characterization of an Over-the-Air Multiprobe Setup for Cars at 5.9 GHz. IEEE Trans. Ind. Electron. 62(12): 7859-7869 (2015) - 2014
- [c13]Mikael G. Nilsson, Håkan Ardö:
In Search of a Car - Utilizing a 3D Model with Context for Object Detection. VISAPP (2) 2014: 419-424 - [c12]Dimitrios Vlastaras, Taimoor Abbas, Mikael G. Nilsson, Russ Whiton, Magnus Olback, Fredrik Tufvesson:
Impact of a truck as an obstacle on vehicle-to-vehicle communications in rural and highway scenarios. WiVeC 2014: 1-6 - 2013
- [j2]Josef Ström Bartunek, Mikael G. Nilsson, Benny Sällberg, Ingvar Claesson:
Adaptive Fingerprint Image Enhancement With Emphasis on Preprocessing of Data. IEEE Trans. Image Process. 22(2): 644-656 (2013) - [c11]Irina Gertsovich, Josef Ström Bartunek, Lars Håkansson, Mikael G. Nilsson:
A novel methodology for the interoperability evaluation of an iris segmentation algorithm. BTAS 2013: 1-6 - [c10]Mikael G. Nilsson, Håkan Ardö, Aliaksei Laureshyn, Anna Persson:
Reduced Search Space for Rapid Bicycle Detection. ICPRAM 2013: 453-458 - 2012
- [c9]Håkan Ardö, Mikael G. Nilsson, Rikard Berthilsson:
Flow Counting Using Realboosted Multi-sized Window Detectors. ECCV Workshops (3) 2012: 193-202 - 2011
- [j1]Naveed R. Butt, Mikael G. Nilsson, Andreas Jakobsson, Magnus Nordberg, Anna Pettersson, Sara Wallin, Henric Östmark:
Classification of Raman Spectra to Detect Hidden Explosives. IEEE Geosci. Remote. Sens. Lett. 8(3): 517-521 (2011) - 2010
- [c8]Mikael G. Nilsson, Irina Gertsovich, Josef Ström Bartunek:
Mouth open or closed decision for frontal face images with given eye locations. BTAS 2010: 1-6 - [c7]Naveed R. Butt, Mikael G. Nilsson, Andreas Jakobsson, Anna Pettersson, Sara Wallin, Henne Östmark:
An improved classification scheme for standoff detection of explosives via Raman spectroscopy. EUSIPCO 2010: 1846-1850
2000 – 2009
- 2009
- [c6]Azam Sheikh Muhammad, Niklas Lavesson, Paul Davidsson, Mikael G. Nilsson:
Analysis of Speed Sign Classification Algorithms Using Shape Based Segmentation of Binary Images. CAIP 2009: 1220-1227 - 2008
- [c5]Mikael G. Nilsson, Josef Ström Bartunek, Jörgen Nordberg, Ingvar Claesson:
On histograms and spatiograms - introduction of the mapogram. ICIP 2008: 973-976 - 2007
- [b1]Mikael G. Nilsson:
On Feature Extraction and Classification in Speech and Image Processing. Blekinge Institute of Technology, Karlskrona, Sweden, 2007 - [c4]Mikael G. Nilsson, Jörgen Nordberg, Ingvar Claesson:
Face Detection using Local SMQT Features and Split up Snow Classifier. ICASSP (2) 2007: 589-592 - [c3]Farook Sattar, Mikael G. Nilsson, Ingvar Claesson:
Segmentation and its real-world applications in speech processing. ISSPA 2007: 1-4 - 2005
- [c2]Mikael G. Nilsson, Mattias Dahl, Ingvar Claesson:
The successive mean quantization transform. ICASSP (4) 2005: 429-432 - [c1]Mikael G. Nilsson, Mattias Dahl, Ingvar Claesson:
Gray-scale image enhancement using the SMQT. ICIP (1) 2005: 933-936
Coauthor Index
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