| Color attributes for object detection FS Khan, RM Anwer, J Van De Weijer, AD Bagdanov, M Vanrell, ... 2012 IEEE Conference on Computer Vision and Pattern Recognition, 3306-3313, 2012 | 334 | 2012 |
| Coloring action recognition in still images FS Khan, RM Anwer, J Van De Weijer, AD Bagdanov, AM Lopez, ... International journal of computer vision 105 (3), 205-221, 2013 | 138 | 2013 |
| Binary patterns encoded convolutional neural networks for texture recognition and remote sensing scene classification RM Anwer, FS Khan, J van de Weijer, M Molinier, J Laaksonen ISPRS journal of photogrammetry and remote sensing 138, 74-85, 2018 | 113 | 2018 |
| Semantic pyramids for gender and action recognition FS Khan, J Van De Weijer, RM Anwer, M Felsberg, C Gatta IEEE transactions on image processing 23 (8), 3633-3645, 2014 | 64 | 2014 |
| Compact color–texture description for texture classification FS Khan, RM Anwer, J van de Weijer, M Felsberg, J Laaksonen Pattern recognition letters 51, 16-22, 2015 | 58 | 2015 |
| Mask-guided attention network for occluded pedestrian detection Y Pang, J Xie, MH Khan, RM Anwer, FS Khan, L Shao Proceedings of the IEEE/CVF International Conference on Computer Vision …, 2019 | 46 | 2019 |
| Recognizing actions through action-specific person detection FS Khan, J Xu, J Van De Weijer, AD Bagdanov, RM Anwer, AM Lopez IEEE transactions on image processing 24 (11), 4422-4432, 2015 | 45 | 2015 |
| Efficient featurized image pyramid network for single shot detector Y Pang, T Wang, RM Anwer, FS Khan, L Shao Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2019 | 36 | 2019 |
| Deep contextual attention for human-object interaction detection T Wang, RM Anwer, MH Khan, FS Khan, Y Pang, L Shao, J Laaksonen Proceedings of the IEEE/CVF International Conference on Computer Vision …, 2019 | 35 | 2019 |
| Learning rich features at high-speed for single-shot object detection T Wang, RM Anwer, H Cholakkal, FS Khan, Y Pang, L Shao Proceedings of the IEEE/CVF International Conference on Computer Vision …, 2019 | 32 | 2019 |
| Data mining in oral medicine using decision trees FS Khan, RM Anwer, O Torgersson, G Falkman International Journal of Biological and Medical Sciences 4 (3), 2009 | 25 | 2009 |
| Enriched feature guided refinement network for object detection J Nie, RM Anwer, H Cholakkal, FS Khan, Y Pang, L Shao Proceedings of the IEEE/CVF International Conference on Computer Vision …, 2019 | 24 | 2019 |
| Combining holistic and part-based deep representations for computational painting categorization RM Anwer, FS Khan, J van de Weijer, J Laaksonen Proceedings of the 2016 ACM on international conference on multimedia …, 2016 | 24 | 2016 |
| Scale coding bag of deep features for human attribute and action recognition FS Khan, J Van De Weijer, RM Anwer, AD Bagdanov, M Felsberg, ... Machine Vision and Applications 29 (1), 55-71, 2018 | 22 | 2018 |
| Color contribution to part-based person detection in different types of scenarios MA Rao, D Vázquez, AM López International Conference on Computer Analysis of Images and Patterns, 463-470, 2011 | 19 | 2011 |
| Opponent colors for human detection RM Anwer, D Vázquez, AM López Iberian Conference on Pattern Recognition and Image Analysis, 363-370, 2011 | 18 | 2011 |
| Psc-net: learning part spatial co-occurrence for occluded pedestrian detection J Xie, Y Pang, H Cholakkal, R Anwer, F Khan, L Shao Science China Information Sciences 64 (2), 1-13, 2021 | 12 | 2021 |
| Deep semantic pyramids for human attributes and action recognition FS Khan, RM Anwer, J van de Weijer, M Felsberg, J Laaksonen Scandinavian Conference on Image Analysis, 341-353, 2015 | 12 | 2015 |
| PicSOM Experiments in TRECVID 2013. S Ishikawa, M Koskela, M Sjöberg, J Laaksonen, E Oja, E Amid, ... TRECVID, 2013 | 12 | 2013 |
| D2det: Towards high quality object detection and instance segmentation J Cao, H Cholakkal, RM Anwer, FS Khan, Y Pang, L Shao Proceedings of the IEEE/CVF conference on computer vision and pattern …, 2020 | 10 | 2020 |
Fahad Shahbaz KhanLinköping University SwedenVerified email at cvc.uab.es
