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2020 – today
- 2023
[i3]Anthony Cioppa, Silvio Giancola, Vladimir Somers, Floriane Magera, Xin Zhou, Hassan Mkhallati, Adrien Deliège, Jan Held, Carlos Hinojosa, Amir M. Mansourian, Pierre Miralles, Olivier Barnich, Christophe De Vleeschouwer, Alexandre Alahi, Bernard Ghanem, Marc Van Droogenbroeck, Abdullah Kamal, Adrien Maglo, Albert Clapés, Amr Abdelaziz, Artur Xarles, Astrid Orcesi, Atom Scott, Bin Liu, Byoungkwon Lim, Chen Chen, Fabian Deuser, Feng Yan, Fufu Yu, Gal Shitrit, Guanshuo Wang, Gyusik Choi, Hankyul Kim, Hao Guo, Hasby Fahrudin, Hidenari Koguchi, Håkan Ardö, Ibrahim Salah, Ido Yerushalmy, Iftikar Muhammad, Ikuma Uchida, Ishay Be'ery, Jaonary Rabarisoa, Jeongae Lee, Jiajun Fu, Jianqin Yin, Jinghang Xu, Jongho Nang, Julien Denize, Junjie Li, Junpei Zhang, Juntae Kim, Kamil Synowiec, et al.:
SoccerNet 2023 Challenges Results. CoRR abs/2309.06006 (2023)- 2022
- [c21]Håkan Ardö, Martin Ahrnbom, Mikael G. Nilsson:
Height Normalizing Image Transform for Efficient Scene Specific Pedestrian Detection. AVSS 2022: 1-11 - [c20]Qunying Song, Markus Borg, Emelie Engström, Håkan Ardö, Sergio Rico:
Exploring ML testing in practice: lessons learned from an interactive rapid review with axis communications. CAIN 2022: 10-21 - [c19]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 - [i2]Qunying Song, Markus Borg, Emelie Engström, Håkan Ardö, Sergio Rico:
Exploring ML testing in practice - Lessons learned from an interactive rapid review with Axis Communications. CoRR abs/2203.16225 (2022) - 2021
- [c18]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
- [c17]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
- [c16]Håkan Ardö, Mikael G. Nilsson:
Multi Target Tracking from Drones by Learning from Generalized Graph Differences. ICCV Workshops 2019: 46-54 - [c15]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 - [i1]Håkan Ardö, Mikael G. Nilsson:
Multi Target Tracking by Learning from Generalized Graph Differences. CoRR abs/1908.06646 (2019) - 2018
- [j5]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) - [j4]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) - [c14]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
- [c13]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 - 2016
- [j3]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) - 2015
- [c12]Håkan Ardö, Linus Svärm:
Bayesian Formulation of Gradient Orientation Matching. ICVS 2015: 91-103 - 2014
- [c11]Mikael G. Nilsson, Håkan Ardö:
In Search of a Car - Utilizing a 3D Model with Context for Object Detection. VISAPP (2) 2014: 419-424 - 2013
- [c10]Mikael G. Nilsson, Håkan Ardö, Aliaksei Laureshyn, Anna Persson:
Reduced Search Space for Rapid Bicycle Detection. ICPRAM 2013: 453-458 - 2012
- [j2]Håkan Ardö, Kalle Åström:
Bayesian Formulation of Image Patch Matching Using Cross-correlation. J. Math. Imaging Vis. 43(1): 72-87 (2012) - [c9]Håkan Ardö, Carl Friedrich Bolz, Maciej Fijalkowski:
Loop-aware optimizations in PyPy's tracing JIT. DLS 2012: 63-72 - [c8]Håkan Ardö, Mikael G. Nilsson, Rikard Berthilsson:
Flow Counting Using Realboosted Multi-sized Window Detectors. ECCV Workshops (3) 2012: 193-202 - 2011
- [c7]Luca Bascetta, Gianni Ferretti, Paolo Rocco, Håkan Ardö, Herman Bruyninckx, Eric Demeester, Enrico Di Lello:
Towards safe human-robot interaction in robotic cells: An approach based on visual tracking and intention estimation. IROS 2011: 2971-2978 - [c6]Hanna Källén, Håkan Ardö, Olof Enqvist:
Tracking and reconstruction of vehicles for accurate position estimation. WACV 2011: 110-117
2000 – 2009
- 2009
- [b1]Håkan Ardö:
Multi-target Tracking Using on-line Viterbi Optimisation and Stochastic Modelling. Lund University, Sweden, 2009 - [j1]Hongtu Jiang, Håkan Ardö, Viktor Öwall:
A Hardware Architecture for Real-Time Video Segmentation Utilizing Memory Reduction Techniques. IEEE Trans. Circuits Syst. Video Technol. 19(2): 226-236 (2009) - [c5]Håkan Ardö, Kalle Åström:
Bayesian formulation of image patch matching using cross-correlation. ICDSC 2009: 1-8 - 2006
- [c4]Hongtu Jiang, Viktor Öwall, Håkan Ardö:
Real-Time Video Segmentation with VGA Resolution and Memory Bandwidth Reduction. AVSS 2006: 104 - [c3]Håkan Ardö, Rikard Berthilsson:
Adaptive Background Estimation using Intensity Independent Features. BMVC 2006: 1069-1078 - 2005
- [c2]Hongtu Jiang, Håkan Ardö, Viktor Öwall:
Hardware accelerator design for video segmentation with multi-modal background modelling. ISCAS (2) 2005: 1142-1145 - [c1]Håkan Ardö:
Learning Based System for Detection and Tracking of Vehicles. SCIA 2005: 449-458
Coauthor Index
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