Kristof Van Beeck
Kristof Van Beeck
Verified email at kuleuven.be
Title
Cited by
Cited by
Year
An overview of today’s high-level synthesis tools
W Meeus, K Van Beeck, T Goedemé, J Meel, D Stroobandt
Design Automation for Embedded Systems 16 (3), 31-51, 2012
1762012
Pedestrian detection at warp speed: Exceeding 500 detections per second
F Smedt, K Beeck, T Tuytelaars, T Goedemé
Proceedings of the IEEE Conference on Computer Vision and Pattern …, 2013
122013
A warping window approach to real-time vision-based pedestrian detection in a truck’s blind spot zone
K Van Beeck, T Goedemé, T Tuytelaars
Proceedings of the ninth international conference on informatics in control …, 2012
122012
Towards an automatic blind spot camera: robust real-time pedestrian tracking from a moving camera
K Van Beeck, T Goedemé, T Tuytelaars
Proceedings of the twelfth IAPR conference on machine vision applications …, 2011
122011
Fast and accurate face orientation measurement in low-resolution images on embedded hardware
D Hulens, K Van Beeck, T Goedemé
Proceedings of the 11th Joint Conference on Computer Vision, Imaging and …, 2016
72016
Comparative study of model-based hardware design tools
K Van Beeck, F Heylen, J Meel, T Goedemé
proceedings of European Conference on the Use of Modern Electronics in ICT …, 2010
62010
Exploring RGB+ Depth fusion for real-time object detection
T Ophoff, K Van Beeck, T Goedemé
Sensors 19 (4), 866, 2019
42019
Real-time multispectral pedestrian detection with a single-pass deep neural network
M Vandersteegen, K Van Beeck, T Goedemé
International Conference Image Analysis and Recognition, 419-426, 2018
42018
Abnormal behavior detection in LWIR surveillance of railway platforms
K Van Beeck, K Van Engeland, J Vennekens, T Goedemé
2017 14th IEEE International Conference on Advanced Video and Signal Based …, 2017
42017
Towards robust automatic detection of vulnerable road users: monocular pedestrian tracking from a moving vehicle
K Van Beeck, F De Smedt, S Beckers, L Struyf, J Vennekens, ...
Proceedings of ATINER 7th annual international conference on computer …, 2011
42011
How low can you go? Privacy-preserving people detection with an omni-directional camera.
T Callemein, K Van Beeck, T Goedemé
International Joint Conference on Computer Vision, Imaging and Computer …, 2018
32018
The combinator: Optimal combination of multiple pedestrian detectors
F De Smedt, K Van Beeck, T Tuytelaars, T Goedemé
2014 22nd International Conference on Pattern Recognition, 3522-3527, 2014
32014
Real-Time Embedded Computer Vision on UAVs
K Van Beeck, T Tuytelaars, D Scarramuza, T Goedemé
European Conference on Computer Vision, 3-10, 2018
22018
Comparing boosted cascades to deep learning architectures for fast and robust coconut tree detection in aerial images
S Puttemans, K Van Beeck, T Goedemé
Proceedings of the 13th international joint conference on computer vision …, 2018
22018
Efficient multiclass object detection: Detecting pedestrians and bicyclists in a truck's blind spot camera
K Van Beeck, T Goedemé
2015 3rd IAPR Asian Conference on Pattern Recognition (ACPR), 366-370, 2015
22015
Real-time vision-based pedestrian detection in a truck’s blind spot zone using a warping window approach
K Van Beeck, T Goedemé, T Tuytelaars
Informatics in Control, Automation and Robotics, 251-264, 2014
22014
Super accurate low latency object detection on a surveillance UAV
M Vandersteegen, K Van Beeck, T Goedemé
2019 16th International Conference on Machine Vision Applications (MVA), 1-6, 2019
12019
Improving Real-Time Pedestrian Detectors with RGB+ Depth Fusion
T Ophoff, K Van Beeck, T Goedemé
2018 15th IEEE International Conference on Advanced Video and Signal Based …, 2018
12018
Automated analysis of eye-tracker-based human-human interaction studies
T Callemein, K Van Beeck, G Brône, T Goedemé
international conference on information science and applications, 499-509, 2018
12018
The automatic blind spot camera: A vision-based active alarm system
K Van Beeck, T Goedemé
European Conference on Computer Vision, 122-135, 2016
12016
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Articles 1–20