Rao Muhammad Anwer

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Fahad Shahbaz KhanMBZUAI, Linköping University SwedenVerified email at cvc.uab.es
Hisham CholakkalMohamed bin Zayed University of Artificial Intelligence (MBZUAI)Verified email at mbzuai.ac.ae
Yanwei PangTianjin UniversityVerified email at tju.edu.cn
Jorma LaaksonenSenior University Lecturer in Computer Science, Aalto UniversityVerified email at aalto.fi
Ling Shao, Fellow of IEEE/IAPRGeneral Terminus TechnologiesVerified email at inceptioniai.org
Joost van de WeijerComputer Vision Center, Universitat Autònoma de BarcelonaVerified email at cvc.uab.es
Salman KhanMBZUAI, Australian National UniversityVerified email at anu.edu.au
Jiale CaoTianjin UniversityVerified email at tju.edu.cn
Michael FelsbergProfessor of Computer Vision, Linköping UniversityVerified email at liu.se
Antonio Manuel LopezUniversitat Autònoma de Barcelona (UAB) // Computer Science Dpt & Computer Vision Center (CVC)Verified email at cvc.uab.es
Andrew D. BagdanovAssociate Professor, University of Florence, ItalyVerified email at unifi.it
Muhammad Haris KhanFull-time faculty at Mohamed Bin Zayed University of Artificial Intelligence (MBZUAI) - UAEVerified email at mbzuai.ac.ae
Tiancai WangResearcher, MEGVII TechnologyVerified email at tju.edu.cn
Mubarak ShahTrustee Chair Professor of Computer Science, University of Central FloridaVerified email at crcv.ucf.edu
Maria VanrellComputer Vision Center - Universitat Autònoma de BarcelonaVerified email at uab.cat
Ankan Kumar BhuniaPhD Student, University of Edinburgh, UKVerified email at ed.ac.uk
Sanath NarayanTechnology Innovation Institute, Abu DhabiVerified email at tii.ae
Matthieu MolinierVTT Technical Research Centre Of Finland LtdVerified email at vtt.fi
Muhammad MaazPhD Computer Vision at MBZUAIVerified email at mbzuai.ac.ae
Ming-Hsuan YangUniversity of California at Merced; GoogleVerified email at ucmerced.edu

Rao Muhammad Anwer

Mohamed bin Zayed University of Artificial Intelligence (MBZUAI)

Verified email at aalto.fi

Computer Vision Object Recognition


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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	372	2012
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	229	2018
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	171	2019
Sipmask: Spatial information preservation for fast image and video instance segmentation J Cao, RM Anwer, H Cholakkal, FS Khan, Y Pang, L Shao Computer Vision–ECCV 2020: 16th European Conference, Glasgow, UK, August 23 …, 2020	155	2020
Coloring action recognition in still images FS Khan, R Muhammad Anwer, J Van De Weijer, AD Bagdanov, ... International journal of computer vision 105, 205-221, 2013	153	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	141	2020
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	117	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	112	2019
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	102	2019
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	84	2019
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	82	2014
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	62	2015
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	62	2015
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, 1-13, 2021	46	2021
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, 55-71, 2018	33	2018
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	33	2009
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	31	2016
Edgenext: efficiently amalgamated cnn-transformer architecture for mobile vision applications M Maaz, A Shaker, H Cholakkal, S Khan, SW Zamir, RM Anwer, ... Computer Vision–ECCV 2022 Workshops: Tel Aviv, Israel, October 23–27, 2022 …, 2023	28	2023
Count-and similarity-aware R-CNN for pedestrian detection J Xie, H Cholakkal, R Muhammad Anwer, F Shahbaz Khan, Y Pang, ... Computer Vision–ECCV 2020: 16th European Conference, Glasgow, UK, August 23 …, 2020	27	2020
Spatio-temporal relation modeling for few-shot action recognition A Thatipelli, S Narayan, S Khan, RM Anwer, FS Khan, B Ghanem Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2022	26	2022

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