Neil M. Robertson
Neil M. Robertson
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Cited by
Cited by
A general method for human activity recognition in video
N Robertson, I Reid
Computer Vision and Image Understanding 104 (2-3), 232-248, 2006
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
Deep head pose: Gaze-direction estimation in multimodal video
SS Mukherjee, NM Robertson
IEEE Transactions on Multimedia 17 (11), 2094-2107, 2015
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
Behaviour understanding in video: a combined method
N Robertson, I Reid
Tenth IEEE International Conference on Computer Vision (ICCV'05) Volume 1 1 …, 2005
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
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
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, NM Robertson
arXiv preprint arXiv:1903.12141, 2019
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
Contextual anomaly detection in crowded surveillance scenes
MJV Leach, EP Sparks, NM Robertson
Pattern Recognition Letters 44, 71-79, 2014
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
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
Dynamic distance-based shape features for gait recognition
T Whytock, A Belyaev, NM Robertson
Journal of Mathematical Imaging and Vision 50, 314-326, 2014
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
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
A proposed gesture set for the control of industrial collaborative robots
P Barattini, C Morand, NM Robertson
2012 IEEE RO-MAN: The 21st IEEE International Symposium on Robot and Human …, 2012
Characterizing a heterogeneous system for person detection in video using histograms of oriented gradients: Power versus speed versus accuracy
C Blair, NM Robertson, D Hume
IEEE Journal on Emerging and Selected Topics in Circuits and Systems 3 (2 …, 2013
An adaptive motion model for person tracking with instantaneous head-pose features
RH Baxter, MJV Leach, SS Mukherjee, NM Robertson
IEEE Signal Processing Letters 22 (5), 578-582, 2014
Deep metric learning by online soft mining and class-aware attention
X Wang, Y Hua, E Kodirov, G Hu, NM Robertson
Proceedings of the AAAI Conference on Artificial Intelligence 33 (01), 5361-5368, 2019
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