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Ferdous Sohel
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Zitiert von
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Cost-sensitive learning of deep feature representations from imbalanced data
SH Khan, M Hayat, M Bennamoun, FA Sohel, R Togneri
IEEE transactions on neural networks and learning systems 29 (8), 3573-3587, 2017
11482017
A new representation of skeleton sequences for 3d action recognition
Q Ke, M Bennamoun, S An, F Sohel, F Boussaid
Proceedings of the IEEE conference on computer vision and pattern …, 2017
10472017
A comprehensive survey of deep learning for image captioning
MDZ Hossain, F Sohel, MF Shiratuddin, H Laga
ACM Computing Surveys (CsUR) 51 (6), 1-36, 2019
10102019
Rotational projection statistics for 3D local surface description and object recognition
Y Guo, F Sohel, M Bennamoun, M Lu, J Wan
International journal of computer vision 105, 63-86, 2013
7632013
3D object recognition in cluttered scenes with local surface features: A survey
Y Guo, M Bennamoun, F Sohel, M Lu, J Wan
IEEE transactions on pattern analysis and machine intelligence 36 (11), 2270 …, 2014
7252014
A comprehensive performance evaluation of 3D local feature descriptors
Y Guo, M Bennamoun, F Sohel, M Lu, J Wan, NM Kwok
International Journal of Computer Vision 116, 66-89, 2016
6852016
A survey of deep learning techniques for weed detection from images
ASMM Hasan, F Sohel, D Diepeveen, H Laga, MGK Jones
Computers and Electronics in Agriculture 184, 106067, 2021
4112021
Learning clip representations for skeleton-based 3D action recognition
Q Ke, M Bennamoun, S An, F Sohel, F Boussaid
IEEE Transactions on Image Processing 27 (6), 2842-2855, 2018
2892018
Automatic Shadow Detection and Removal from a Single Image
SH Khan, M Bennamoun, F Sohel, R Togneri
IEEE Transactions on Pattern Analysis and Machine Intelligence 38 (3), 431 - 446, 2016
2892016
Skeletonnet: Mining deep part features for 3-d action recognition
Q Ke, S An, M Bennamoun, F Sohel, F Boussaid
IEEE signal processing letters 24 (6), 731-735, 2017
2002017
Leveraging auxiliary tasks with affinity learning for weakly supervised semantic segmentation
L Xu, W Ouyang, M Bennamoun, F Boussaid, F Sohel, D Xu
Proceedings of the IEEE/CVF international conference on computer vision …, 2021
1782021
An accurate and robust range image registration algorithm for 3D object modeling
Y Guo, F Sohel, M Bennamoun, J Wan, M Lu
ieee transactions on multimedia 16 (5), 1377-1390, 2014
1772014
Automatic feature learning for robust shadow detection
SH Khan, M Bennamoun, F Sohel, R Togneri
2014 IEEE conference on computer vision and pattern recognition, 1939-1946, 2014
1722014
RGB-D object recognition and grasp detection using hierarchical cascaded forests
U Asif, M Bennamoun, FA Sohel
IEEE Transactions on Robotics 33 (3), 547-564, 2017
1712017
A novel local surface feature for 3D object recognition under clutter and occlusion
Y Guo, F Sohel, M Bennamoun, J Wan, M Lu
Information Sciences 293, 196-213, 2015
1552015
Machine learning‐based prediction of heart failure readmission or death: implications of choosing the right model and the right metrics
SE Awan, M Bennamoun, F Sohel, FM Sanfilippo, G Dwivedi
ESC heart failure 6 (2), 428-435, 2019
1492019
NormalNet: A voxel-based CNN for 3D object classification and retrieval
C Wang, M Cheng, F Sohel, M Bennamoun, J Li
Neurocomputing 323, 139-147, 2019
1482019
A review of the uses of virtual reality in engineering education
JA di Lanzo, A Valentine, F Sohel, AYT Yapp, KC Muparadzi, ...
Computer Applications in Engineering Education 28 (3), 748-763, 2020
1252020
Computer vision for human–machine interaction
Q Ke, J Liu, M Bennamoun, S An, F Sohel, F Boussaid
Computer vision for assistive healthcare, 127-145, 2018
1172018
Machine learning in heart failure: ready for prime time
SE Awan, F Sohel, FM Sanfilippo, M Bennamoun, G Dwivedi
Current opinion in cardiology 33 (2), 190-195, 2018
1152018
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