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Rao Muhammad Anwer
Rao Muhammad Anwer
Mohamed bin Zayed University of Artificial Intelligence (MBZUAI)
Verified email at aalto.fi
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Cited by
Cited by
Year
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
4002012
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
2752018
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
2282019
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
2132020
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
2022020
Edgenext: efficiently amalgamated cnn-transformer architecture for mobile vision applications
M Maaz, A Shaker, H Cholakkal, S Khan, SW Zamir, RM Anwer, ...
European conference on computer vision, 3-20, 2022
1712022
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
1632013
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
1432019
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
1322019
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
1212019
Transformers in remote sensing: A survey
AA Aleissaee, A Kumar, RM Anwer, S Khan, H Cholakkal, GS Xia, ...
Remote Sensing 15 (7), 1860, 2023
1192023
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
1042019
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
1032022
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
872014
Class-agnostic object detection with multi-modal transformer
M Maaz, H Rasheed, S Khan, FS Khan, RM Anwer, MH Yang
European conference on computer vision, 512-531, 2022
722022
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
692015
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
642015
Foundational models defining a new era in vision: A survey and outlook
M Awais, M Naseer, S Khan, RM Anwer, H Cholakkal, M Shah, MH Yang, ...
arXiv preprint arXiv:2307.13721, 2023
622023
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
612021
Xraygpt: Chest radiographs summarization using medical vision-language models
O Thawkar, A Shaker, SS Mullappilly, H Cholakkal, RM Anwer, S Khan, ...
arXiv preprint arXiv:2306.07971, 2023
602023
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