Neil M. Robertson
Neil M. Robertson
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Cited by
Cited by
Ranked list loss for deep metric learning
X Wang, Y Hua, E Kodirov, G Hu, R Garnier, NM Robertson
Proceedings of the IEEE/CVF conference on computer vision and pattern …, 2019
A general method for human activity recognition in video
N Robertson, I Reid
Computer Vision and Image Understanding 104 (2-3), 232-248, 2006
Deep head pose: Gaze-direction estimation in multimodal video
SS Mukherjee, NM Robertson
IEEE Transactions on Multimedia 17 (11), 2094-2107, 2015
Differentiable automatic data augmentation
Y Li, G Hu, Y Wang, T Hospedales, NM Robertson, Y Yang
Computer Vision–ECCV 2020: 16th European Conference, Glasgow, UK, August 23 …, 2020
Attention-based two-stream convolutional networks for face spoofing detection
H Chen, G Hu, Z Lei, Y Chen, NM Robertson, SZ Li
IEEE Transactions on Information Forensics and Security 15, 578-593, 2019
Estimating gaze direction from low-resolution faces in video
N Robertson, I Reid
Computer Vision–ECCV 2006: 9th European Conference on Computer Vision, Graz …, 2006
Object guided external memory network for video object detection
H Deng, Y Hua, T Song, Z Zhang, Z Xue, R Ma, N Robertson, H Guan
Proceedings of the IEEE/CVF International Conference on Computer Vision …, 2019
Behaviour understanding in video: a combined method
N Robertson, I Reid
Tenth IEEE International Conference on Computer Vision (ICCV'05) Volume 1 1 …, 2005
Unsupervised video summarization with attentive conditional generative adversarial networks
X He, Y Hua, T Song, Z Zhang, Z Xue, R Ma, N Robertson, H Guan
Proceedings of the 27th ACM International Conference on multimedia, 2296-2304, 2019
Attribute-enhanced face recognition with neural tensor fusion networks
G Hu, Y Hua, Y Yuan, Z Zhang, Z Lu, SS Mukherjee, TM Hospedales, ...
Proceedings of the IEEE International Conference on Computer Vision, 3744-3753, 2017
IMAE for noise-robust learning: Mean absolute error does not treat examples equally and gradient magnitude's variance matters
X Wang, Y Hua, E Kodirov, DA Clifton, NM Robertson
arXiv preprint arXiv:1903.12141, 2019
BBAS: Towards large scale effective ensemble adversarial attacks against deep neural network learning
J Shen, N Robertson
Information Sciences 569, 469-478, 2021
Semantic alignment: Finding semantically consistent ground-truth for facial landmark detection
Z Liu, X Zhu, G Hu, H Guo, M Tang, Z Lei, NM Robertson, J Wang
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2019
Computational load balancing on the edge in absence of cloud and fog
S Sthapit, J Thompson, NM Robertson, JR Hopgood
IEEE Transactions on Mobile Computing 18 (7), 1499-1512, 2018
Proselflc: Progressive self label correction for training robust deep neural networks
X Wang, Y Hua, E Kodirov, DA Clifton, NM Robertson
Proceedings of the IEEE/CVF conference on computer vision and pattern …, 2021
Contextual anomaly detection in crowded surveillance scenes
MJV Leach, EP Sparks, NM Robertson
Pattern Recognition Letters 44, 71-79, 2014
Face recognition using a unified 3D morphable model
G Hu, F Yan, CH Chan, W Deng, W Christmas, J Kittler, NM Robertson
Computer Vision–ECCV 2016: 14th European Conference, Amsterdam, The …, 2016
Give me a hand—The potential of mobile assistive robots in automotive logistics and assembly applications
S Angerer, C Strassmair, M Staehr, M Roettenbacher, NM Robertson
2012 IEEE international conference on technologies for practical robot …, 2012
Deep stock representation learning: From candlestick charts to investment decisions
G Hu, Y Hu, K Yang, Z Yu, F Sung, Z Zhang, F Xie, J Liu, N Robertson, ...
2018 IEEE international conference on acoustics, speech and signal …, 2018
Dynamic distance-based shape features for gait recognition
T Whytock, A Belyaev, NM Robertson
Journal of Mathematical Imaging and Vision 50, 314-326, 2014
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