Chris H. Bahnsen

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Thomas MoeslundProfessor, Aalborg UniversityVerified email at create.aau.dk
Andreas MøgelmoseAssociate professor, Aalborg UniversityVerified email at create.aau.dk
Sergio EscaleraProf., ICREA Academy, University of Barcelona, Computer Vision Center, ELLIS & IAPR & AAIA FellowVerified email at ub.edu
Tanja Kidholm Osmann MadsenAssistant Professor, Traffic Research Group, Department of the Build Environment, Aalborg UniversityVerified email at build.aau.dk
Morten Bornø JensenSenior Computer Vision Developer at Sky-WatchVerified email at create.aau.dk
Harry LahrmannAalborg University, Traffic Research Group, Division of Civil and Enviromental EngineeringVerified email at civil.aau.dk
Albert ClapésAssistant Professor, Universitat de BarcelonaVerified email at ub.edu
Kamal NasrollahiAalborg University/ Milestone SystemsVerified email at create.aau.dk
Cristina PalmeroResearch Associate, King's College LondonVerified email at kcl.ac.uk
Mark Philip PhilipsenPostDoc at Aalborg University's Visual Analysis and Perception LaboratoryVerified email at create.aau.dk
Ramin IraniResearch AssistantVerified email at bth.se
Joakim Bruslund HaurumPostdoc, Aalborg University / Pioneer Centre for AIVerified email at create.aau.dk
Thiemo AlldieckGoogle DeepMindVerified email at google.com
Niels AgerholmLektor i Trafik og Transport, Aalborg UniversitetVerified email at civil.aau.dk
Malte PedersenPostdoc, Aalborg University/Pioneer Centre for AIVerified email at create.aau.dk
Adrià Arbués SangüesaPhD Fellow at Universitat Pompeu Fabra (Barcelona, Spain)Verified email at zelusanalytics.com
Antonio Manuel López PeñaProfessor Comp. Science, ICREA Academia; CVC (RoR: 00s0nnj93) at Univ. Autònoma de Barcelona (UAB)Verified email at cvc.uab.es
David VázquezServiceNow Research, ELLIS memberVerified email at servicenow.com

Chris H. Bahnsen

Computer Vision Specialist, Ambolt AI

Verified email at create.aau.dk

Computer vision


Title Sort by citations Sort by year Sort by title	Cited by Cited by	Year
Rain removal in traffic surveillance: Does it matter? CH Bahnsen, TB Moeslund IEEE Transactions on Intelligent Transportation Systems 20 (8), 2802-2819, 2018	119	2018
Multi-modal rgb–depth–thermal human body segmentation C Palmero, A Clapés, C Bahnsen, A Møgelmose, TB Moeslund, ... International Journal of Computer Vision 118, 217-239, 2016	99	2016
Tri-modal person re-identification with rgb, depth and thermal features A Mogelmose, C Bahnsen, T Moeslund, A Clapés, S Escalera Proceedings of the IEEE Conference on Computer Vision and Pattern …, 2013	94	2013
Spatiotemporal analysis of RGB-DT facial images for multimodal pain level recognition R Irani, K Nasrollahi, MO Simon, CA Corneanu, S Escalera, C Bahnsen, ... Proceedings of the IEEE conference on computer vision and pattern …, 2015	52	2015
Context-aware fusion of RGB and thermal imagery for traffic monitoring T Alldieck, CH Bahnsen, TB Moeslund Sensors 16 (11), 1947, 2016	48	2016
3d sensors for sewer inspection: A quantitative review and analysis CH Bahnsen, AS Johansen, MP Philipsen, JW Henriksen, K Nasrollahi, ... Sensors 21 (7), 2553, 2021	34	2021
Traffic light detection at night: Comparison of a learning-based detector and three model-based detectors MB Jensen, MP Philipsen, C Bahnsen, A Møgelmose, TB Moeslund, ... Advances in Visual Computing: 11th International Symposium, ISVC 2015, Las …, 2015	24	2015
Water level estimation in sewer pipes using deep convolutional neural networks JB Haurum, CH Bahnsen, M Pedersen, TB Moeslund Water 12 (12), 3412, 2020	23	2020
Identifying basketball plays from sensor data; towards a low-cost automatic extraction of advanced statistics AA Sangüesa, TB Moeslund, CH Bahnsen, RB Iglesias 2017 IEEE International Conference on Data Mining Workshops (ICDMW), 894-901, 2017	21	2017
Is it Raining Outside? Detection of Rainfall using General-Purpose Surveillance Cameras. JB Haurum, CH Bahnsen, TB Moeslund CVPR Workshops, 55-64, 2019	15	2019
Learning to remove rain in traffic surveillance by using synthetic data CH Bahnsen, D Vázquez, AM López, TB Moeslund 14th International Joint Conference on Computer Vision, Imaging and Computer …, 2019	12	2019
Road user behaviour analyses based on video detections: Status and best practice examples from the RUBA software N Agerholm, C Tønning, TKO Madsen, CH Bahnsen, TB Moeslund, ... 24th ITS World Congress Montreal 2017, 1-10, 2017	10	2017
Collecting traffic video data using portable poles: survey, proposal, and analysis MB Jensen, CH Bahnsen, HS Lahrmann, TKO Madsen, TB Moeslund Journal of Transportation Technologies 8 (4), 88175, 2018	7	2018
Thermal-visible-depth image registration C Bahnsen Unpublished Master Thesis, Aalborg University, Aalborg, Denmark, 2013	6	2013
The aau multimodal annotation toolboxes: Annotating objects in images and videos CH Bahnsen, A Møgelmose, TB Moeslund arXiv preprint arXiv:1809.03171, 2018	5	2018
Detecting road user actions in traffic intersections using RGB and thermal video C Bahnsen, TB Moeslund 2015 12th IEEE International Conference on Advanced Video and Signal Based …, 2015	4	2015
Automatic detection of conflicts at signalized intersections TKO Madsen, C Bahnsen, H Lahrmann, TB Moeslund	4	2014
RUBA–Video Analysis Software for Road User Behaviour Analysis TKO Madsen, PM Christensen, CH Bahnsen, MB Jensen, TB Moeslund, ... 29th ICTCT workshop, 20-21, 2016	3	2016
Watchdog System TKO Madsen, CH Bahnsen, MB Jensen, HS Lahrmann, TB Moeslund European Commission* Office for Official Publications of the European Union, 2016	3	2016
RUBA-Videoanalyseprogram til trafikanalyser TKO Madsen, PM Christensen, C Bahnsen, MB Jensen, TB Moeslund, ... Trafik & Veje, 14-17, 2016	3	2016

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