A new pedestrian dataset for supervised learning G Overett, L Petersson, N Brewer, L Andersson, N Pettersson Intelligent Vehicles Symposium, 373-378, 2008 | 142 | 2008 |
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 | 97 | 2017 |
The histogram feature-a resource-efficient weak classifier N Pettersson, L Petersson, L Andersson 2008 IEEE Intelligent Vehicles Symposium, 678-683, 2008 | 47 | 2008 |
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 | 32 | 2014 |
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 | 32 | 2009 |
VIENA: A Driving Anticipation Dataset MS Aliakbarian, FS Saleh, M Salzmann, B Fernando, L Petersson, ... Asian Conference on Computer Vision, 449-466, 2018 | 15 | 2018 |
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 | 9 | 2016 |
Real-time fluid dynamics for virtual surgery L Andersson Chalmers tekniska högskola, 2005 | 9 | 2005 |
Detection of objects represented in images G Overett, L Petersson, L Andersson, N Pettersson US Patent App. 13/376,071, 2012 | 3 | 2012 |
ANewPedestrianDatasetforSupervisedLearning G Overett, L Petersson, N Brewer, L Andersson | 2 | 2008 |
VIENA2: A Driving Anticipation Dataset M Sadegh Aliakbarian, F Sadat Saleh, M Salzmann, B Fernando, ... arXiv, arXiv: 1810.09044, 2018 | | 2018 |
Deep Action-and Context-Aware Sequence Learning for Activity Recognition and Anticipation M Sadegh Aliakbarian, F Saleh, B Fernando, M Salzmann, L Petersson, ... arXiv, arXiv: 1611.05520, 2016 | | 2016 |
Encouraging LSTMs to Anticipate Actions Very Early Supplementary Material MS Aliakbarian, FS Saleh, M Salzmann, B Fernando, L Petersson, ... | | |