Salman Khan
Salman Khan
Inception Institute of AI; Australian National University
Verified email at anu.edu.au - Homepage
TitleCited byYear
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
1982017
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, 2015
1202015
Automatic Feature Learning for Robust Shadow Detection
SH Khan, M Bennamoun, F Sohel, R Togneri
IEEE 27th International Conference on Computer Vision and Pattern …, 2014
742014
Secure biometric template generation for Multi-Factor authentication
SH Khan, MA Akbar, F Shahzad, M Farooq, Z Khan
Pattern Recognition, 2014
732014
A guide to convolutional neural networks for computer vision
S Khan, H Rahmani, SAA Shah, M Bennamoun
Synthesis Lectures on Computer Vision 8 (1), 1-207, 2018
722018
Geometry Driven Semantic Labeling of Indoor Scenes
SH Khan, M Bennamoun, F Sohel, R Togneri
European Conference on Computer Vision (ECCV), Switzerland, 2014, Part I …, 2014
542014
A discriminative representation of convolutional features for indoor scene recognition
SH Khan, M Hayat, M Bennamoun, R Togneri, FA Sohel
IEEE Transactions on Image Processing 25 (7), 3372-3383, 2016
452016
Zero-shot object detection: Learning to simultaneously recognize and localize novel concepts
S Rahman, S Khan, F Porikli
Asian Conference on Computer Vision, 547-563, 2018
362018
A unified approach for conventional zero-shot, generalized zero-shot, and few-shot learning
S Rahman, S Khan, F Porikli
IEEE Transactions on Image Processing 27 (11), 5652-5667, 2018
352018
A spatial layout and scale invariant feature representation for indoor scene classification
M Hayat, SH Khan, M Bennamoun, S An
IEEE Transactions on Image Processing 25 (10), 4829-4841, 2016
352016
Forest change detection in incomplete satellite images with deep neural networks
SH Khan, X He, F Porikli, M Bennamoun
IEEE Transactions on Geoscience and Remote Sensing 55 (9), 5407-5423, 2017
342017
Learning deep structured network for weakly supervised change detection
SH Khan, X He, F Porikli, M Bennamoun, F Sohel, R Togneri
arXiv preprint arXiv:1606.02009, 2016
222016
Joint registration and representation learning for unconstrained face identification
M Hayat, SH Khan, N Werghi, R Goecke
Proceedings of the IEEE Conference on Computer Vision and Pattern …, 2017
202017
Integrating geometrical context for semantic labeling of indoor scenes using rgbd images
SH Khan, M Bennamoun, F Sohel, R Togneri, I Naseem
International Journal of Computer Vision 117 (1), 1-20, 2016
202016
Separating objects and clutter in indoor scenes
SH Khan, X He, M Bennamoun, F Sohel, R Togneri
Proceedings of the IEEE conference on computer vision and pattern …, 2015
202015
Scene categorization with spectral features
SH Khan, M Hayat, F Porikli
Proceedings of the IEEE International Conference on Computer Vision, 5638-5648, 2017
172017
Feature mask network for person re-identification
G Ding, S Khan, Z Tang, F Porikli
Pattern Recognition Letters, 2019
162019
Noisy relativistic quantum games in noninertial frames
S Khan, MK Khan
Quantum information processing 12 (2), 1351-1363, 2013
162013
Regularization of deep neural networks with spectral dropout
SH Khan, M Hayat, F Porikli
Neural Networks 110, 82-90, 2019
152019
Empowering simple binary classifiers for image set based face recognition
M Hayat, SH Khan, M Bennamoun
International Journal of Computer Vision 123 (3), 479-498, 2017
152017
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Articles 1–20