Lars Andersson
Lars Andersson
CSIRO, NICTA
Verified email at data61.csiro.au
TitleCited byYear
A new pedestrian dataset for supervised learning
G Overett, L Petersson, N Brewer, L Andersson, N Pettersson
Intelligent Vehicles Symposium, 373-378, 2008
1272008
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
542017
The histogram feature-a resource-efficient weak classifier
N Pettersson, L Petersson, L Andersson
2008 IEEE Intelligent Vehicles Symposium, 678-683, 2008
432008
Creating robust high-throughput traffic sign detectors using centre-surround HOG statistics
G Overett, L Tychsen-Smith, L Petersson, N Pettersson, L Andersson
Machine vision and applications 25 (3), 713-726, 2014
292014
Boosting a heterogeneous pool of fast hog features for pedestrian and sign detection
G Overett, L Petersson, L Andersson, N Pettersson
2009 IEEE Intelligent Vehicles Symposium, 584-590, 2009
292009
Real-time fluid dynamics for virtual surgery
L Andersson
Chalmers tekniska högskola, 2005
102005
Deep action-and context-aware sequence learning for activity recognition and anticipation
MS Aliakbarian, F Saleh, B Fernando, M Salzmann, L Petersson, ...
arXiv preprint arXiv:1611.05520, 2016
42016
Detection of objects represented in images
G Overett, L Petersson, L Andersson, N Pettersson
US Patent App. 13/376,071, 2012
32012
VIENA: A Driving Anticipation Dataset
MS Aliakbarian, FS Saleh, M Salzmann, B Fernando, L Petersson, ...
Asian Conference on Computer Vision, 449-466, 2018
12018
Encouraging LSTMs to Anticipate Actions Very Early Supplementary Material
MS Aliakbarian, FS Saleh, M Salzmann, B Fernando, L Petersson, ...
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Articles 1–10