Lars Petersson

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Mathieu SalzmannEPFLDirección de correo verificada de epfl.ch
Sadegh AliakbarianMicrosoftDirección de correo verificada de microsoft.com
Mehrtash HarandiDepartment of Electrical and Computer Systems Engineering, Monash UniversityDirección de correo verificada de monash.edu
Fatemeh SalehMicrosoftDirección de correo verificada de microsoft.com
Mohammad Ali ArminCSIRODirección de correo verificada de data61.csiro.au
Ali cheraghianData61/CSIRO | Australian National UniversityDirección de correo verificada de data61.csiro.au
Jose M. AlvarezNVIDIADirección de correo verificada de nvidia.com
Lars AnderssonCSIRO, NICTADirección de correo verificada de data61.csiro.au
Shafin Rahman, PhDAssistant Professor, ECE, North South University, BangladeshDirección de correo verificada de northsouth.edu
Stephen GouldProfessor at Australian National UniversityDirección de correo verificada de anu.edu.au
Professor Alex ZelinskyUniversity of Newcastle, DST, CSIRO, Australian National University, University of WollongongDirección de correo verificada de newcastle.edu.au
Dylan CampbellLecturer, Australian National UniversityDirección de correo verificada de anu.edu.au
Hongdong LiProfessor of Computer Vision and Learning, Australian National UniversityDirección de correo verificada de anu.edu.au
Luke FletcherCruise | Motional | Toyota Research Institute (TRI) | Boeing R&T | MIT | ANUDirección de correo verificada de fletcher.net.au
Nick BarnesProfessor, Australian National UniversityDirección de correo verificada de anu.edu.au
Saeed AnwarAustralian National University; University of CanberraDirección de correo verificada de anu.edu.au
Lachlan Tychsen-SmithCSIRO, Data61, NICTA, Australian National UniversityDirección de correo verificada de data61.csiro.au
Sarah Taghavi NaminAustralian National University /Data61 (CSIRO)Dirección de correo verificada de anu.edu.au
Henrik Iskov ChristensenDirector / Professor @ UCSDDirección de correo verificada de ucsd.edu
Mohammad NajafiPostdoctoral Machine Learning Researcher at the University of OxfordDirección de correo verificada de anu.edu.au

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Lars Petersson

Senior Principal Research Scientist, Group Leader, Data61/CSIRO

Dirección de correo verificada de data61.csiro.au

Computer Vision Machine Learning Robotics


Título Ordenar por citas Ordenar por año Ordenar por título	Citado por Citado por	Año
Statistical threat assessment for general road scenes using Monte Carlo sampling A Eidehall, L Petersson IEEE Transactions on intelligent transportation systems 9 (1), 137-147, 2008	253	2008
Improving object localization with fitness nms and bounded iou loss L Tychsen-Smith, L Petersson Proceedings of the IEEE conference on computer vision and pattern …, 2018	231	2018
Graph-based deep learning for medical diagnosis and analysis: past, present and future D Ahmedt-Aristizabal, MA Armin, S Denman, C Fookes, L Petersson Sensors 21 (14), 4758, 2021	204	2021
Semantic-aware knowledge distillation for few-shot class-incremental learning A Cheraghian, S Rahman, P Fang, SK Roy, L Petersson, M Harandi Proceedings of the IEEE/CVF conference on computer vision and pattern …, 2021	202	2021
Built-in foreground/background prior for weakly-supervised semantic segmentation F Saleh, MS Aliakbarian, M Salzmann, L Petersson, S Gould, JM Alvarez Computer Vision–ECCV 2016: 14th European Conference, Amsterdam, The …, 2016	201	2016
Encouraging lstms to anticipate actions very early M Sadegh Aliakbarian, F Sadat Saleh, M Salzmann, B Fernando, ... Proceedings of the IEEE International Conference on Computer Vision, 280-289, 2017	200	2017
Dual contrastive learning for unsupervised image-to-image translation J Han, M Shoeiby, L Petersson, MA Armin Proceedings of the IEEE/CVF conference on computer vision and pattern …, 2021	196	2021
Effective use of synthetic data for urban scene semantic segmentation FS Saleh, MS Aliakbarian, M Salzmann, L Petersson, JM Alvarez Proceedings of the European Conference on Computer Vision (ECCV), 84-100, 2018	190	2018
Bilinear attention networks for person retrieval P Fang, J Zhou, SK Roy, L Petersson, M Harandi Proceedings of the IEEE/CVF international conference on computer vision …, 2019	172	2019
A new pedestrian dataset for supervised learning G Overett, L Petersson, N Brewer, L Andersson, N Pettersson 2008 IEEE Intelligent Vehicles Symposium, 373-378, 2008	160	2008
High-level control of a mobile manipulator for door opening L Petersson, D Austin, D Kragic Intelligent Robots and Systems, 2000.(IROS 2000). Proceedings. 2000 IEEE/RSJ …, 2000	158	2000
Denet: Scalable real-time object detection with directed sparse sampling L Tychsen-Smith, L Petersson Proceedings of the IEEE international conference on computer vision, 428-436, 2017	151	2017
A stochastic conditioning scheme for diverse human motion prediction S Aliakbarian, FS Saleh, M Salzmann, L Petersson, S Gould Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2020	132	2020
Transferring cross-domain knowledge for video sign language recognition D Li, X Yu, C Xu, L Petersson, H Li Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2020	132	2020
Gogma: Globally-optimal gaussian mixture alignment D Campbell, L Petersson Proceedings of the IEEE conference on computer vision and pattern …, 2016	117	2016
Vision in and out of vehicles L Fletcher, N Apostoloff, L Petersson, A Zelinsky IEEE Intelligent systems 18 (3), 12-17, 2003	117	2003
A survey on graph-based deep learning for computational histopathology D Ahmedt-Aristizabal, MA Armin, S Denman, C Fookes, L Petersson Computerized Medical Imaging and Graphics 95, 102027, 2022	111	2022
Driver assistance systems based on vision in and out of vehicles L Fletcher, L Petersson, A Zelinsky IEEE IV2003 Intelligent Vehicles Symposium. Proceedings (Cat. No. 03TH8683 …, 2003	98	2003
Large scale sign detection using HOG feature variants G Overett, L Petersson 2011 IEEE intelligent vehicles symposium (IV), 326-331, 2011	95	2011
An adaptive data representation for robust point-set registration and merging D Campbell, L Petersson Proceedings of the IEEE international conference on computer vision, 4292-4300, 2015	90	2015

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