Dariu M. Gavrila

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Julian KooijAssociate Professor, Delft University of TechnologyVerified email at tudelft.nl
Markus EnzweilerProfessor of Computer Science, Esslingen University of Applied SciencesVerified email at hs-esslingen.de
Fabian FlohrMunich University of Applied SciencesVerified email at hm.edu
Larry DavisProfessor of Computer Science, University of MarylandVerified email at cs.umd.edu
Stefan MunderContinentalVerified email at continental-corporation.com
Christoph Gustav KellerNvidia CorporationVerified email at nvidia.com
Ewoud A.I. PoolDelft University of TechnologyVerified email at tudelft.nl
Jan GiebelComputer Vision Research and DevelopmentVerified email at giebel-jeggen.de
Andras PalffyCo-founder of Perciv AI | Postdoc researcher at TU DelftVerified email at tudelft.nl
Sebastian KrebsPhD-Student at Mercedes-Benz AGVerified email at daimler.com
Christoph SchnörrProfessor of Mathematics and Computer Science, Heidelberg UniversityVerified email at math.uni-heidelberg.de
Michael HofmannQualcommVerified email at qti.qualcomm.com
Markus RothDelft University of TechnologyVerified email at mercedes-benz.com
Laura FerrantiDelft University of TechnologyVerified email at tudelft.nl
Javier Alonso-MoraAssociate Professor, Delft University of TechnologyVerified email at tudelft.nl
Andrey RudenkoRobert Bosch GmbH Corporate Research, GermanyVerified email at de.bosch.com
Michael HermanBosch Center for Artificial IntelligenceVerified email at informatik.uni-freiburg.de
Kris KitaniCarnegie Mellon University, Meta FAIRVerified email at andrew.cmu.edu
Luigi PalmieriRobert Bosch GmbH Corporate ResearchVerified email at informatik.uni-freiburg.de
Kai O. ArrasProfessor of Autonomous SystemsVerified email at ki.uni-stuttgart.de

Dariu M. Gavrila

Full Professor at Delft University of Technology

Verified email at gavrila.net - Homepage

Intelligent Vehicles Autonomous Driving Computer Vision Machine Learning Pedestrian Detection


Title Sort by citations Sort by year Sort by title	Cited by Cited by	Year
The visual analysis of human movement: A survey DM Gavrila Computer vision and image understanding 73 (1), 82-98, 1999	2884	1999
Monocular pedestrian detection: Survey and experiments M Enzweiler, DM Gavrila IEEE transactions on pattern analysis and machine intelligence 31 (12), 2179 …, 2008	1680	2008
3-D model-based tracking of humans in action: a multi-view approach DM Gavrila, LS Davis cvpr 96, 73, 1996	1166	1996
Real-time object detection for" smart" vehicles DM Gavrila, V Philomin Proceedings of the Seventh IEEE International Conference on Computer Vision …, 1999	984	1999
Human motion trajectory prediction: A survey A Rudenko, L Palmieri, M Herman, KM Kitani, DM Gavrila, KO Arras The International Journal of Robotics Research 39 (8), 895-935, 2020	861	2020
An experimental study on pedestrian classification S Munder, DM Gavrila IEEE transactions on pattern analysis and machine intelligence 28 (11), 1863 …, 2006	842	2006
Multi-cue pedestrian detection and tracking from a moving vehicle DM Gavrila, S Munder International journal of computer vision 73, 41-59, 2007	752	2007
Pedestrian detection from a moving vehicle DM Gavrila Computer Vision—ECCV 2000: 6th European Conference on Computer Vision …, 2000	702	2000
Autonomous driving goes downtown U Franke, D Gavrila, S Gorzig, F Lindner, F Puetzold, C Wohler IEEE Intelligent Systems and Their Applications 13 (6), 40-48, 1998	556	1998
Towards 3-d model-based tracking and recognition of human movement: a multi-view approach DM Gavrila, LS Davis International workshop on automatic face-and gesture-recognition 3, 272-277, 1995	442	1995
A bayesian, exemplar-based approach to hierarchical shape matching DM Gavrila IEEE Transactions on Pattern Analysis and Machine Intelligence 29 (8), 1408-1421, 2007	418	2007
Will the pedestrian cross? a study on pedestrian path prediction CG Keller, DM Gavrila IEEE Transactions on Intelligent Transportation Systems 15 (2), 494-506, 2013	381	2013
Context-based pedestrian path prediction JFP Kooij, N Schneider, F Flohr, DM Gavrila Computer Vision–ECCV 2014: 13th European Conference, Zurich, Switzerland …, 2014	375	2014
Multi-cue pedestrian classification with partial occlusion handling M Enzweiler, A Eigenstetter, B Schiele, DM Gavrila 2010 IEEE computer society conference on computer vision and pattern …, 2010	326	2010
Vision-based pedestrian detection: The protector system DM Gavrila, J Giebel, S Munder IEEE Intelligent Vehicles Symposium, 2004, 13-18, 2004	322	2004
Pedestrian path prediction with recursive bayesian filters: A comparative study N Schneider, DM Gavrila german conference on pattern recognition, 174-183, 2013	312	2013
Multi-feature hierarchical template matching using distance transforms DM Gavrila Proceedings. Fourteenth international conference on pattern recognition (Cat …, 1998	299	1998
Active pedestrian safety by automatic braking and evasive steering CG Keller, T Dang, H Fritz, A Joos, C Rabe, DM Gavrila IEEE Transactions on Intelligent Transportation Systems 12 (4), 1292-1304, 2011	272	2011
Eurocity persons: A novel benchmark for person detection in traffic scenes M Braun, S Krebs, F Flohr, DM Gavrila IEEE transactions on pattern analysis and machine intelligence 41 (8), 1844-1861, 2019	270	2019
Real-time dense stereo for intelligent vehicles W Van Der Mark, DM Gavrila IEEE Transactions on intelligent transportation systems 7 (1), 38-50, 2006	243	2006

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