| A general method for human activity recognition in video N Robertson, I Reid Computer Vision and Image Understanding 104 (2-3), 232-248, 2006 | 225 | 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 | 209 | 2019 |
| Deep head pose: Gaze-direction estimation in multimodal video SS Mukherjee, NM Robertson IEEE Transactions on Multimedia 17 (11), 2094-2107, 2015 | 173 | 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 | 125 | 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 | 109 | 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 | 91 | 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 | 90 | 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 | 73 | 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 | 60* | 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 | 57 | 2019 |
| Contextual anomaly detection in crowded surveillance scenes MJV Leach, EP Sparks, NM Robertson Pattern Recognition Letters 44, 71-79, 2014 | 55 | 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 | 54 | 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 | 53 | 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 | 52 | 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 | 51 | 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 | 51 | 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 | 50 | 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 | 43 | 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 | 42 | 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 | 41 | 2019 |
Yang Hua (华扬)Queen's University BelfastVerified email at qub.ac.uk
