Neil Robertson

Research output

Research output per year 2000 2012 2013 2014 2015 2016 2018 2019 2020 2021 2021

• 38 Chapter
• 28 Conference contribution
• 22 Article
• 6 Other
• 8 More
  • 3 Paper
  • 2 Chapter (peer-reviewed)
  • 2 Poster
  • 1 Other contribution

Research output per year

Research output per year

Search results

• A comparison of feature detectors with passive and task-based visual saliency

  Harding, P. & Robertson, N. M., 2009, Image Analysis - 16th Scandinavian Conference, SCIA 2009, Proceedings. Vol. 5575 LNCS. p. 716-725 10 p. (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)).

  Research output: Chapter in Book/Report/Conference proceeding › Chapter
  12 Citations (Scopus)

• Aerial image segmentation for flood risk analysis

  Robertson, N. M. & Chan, T., 2009, 2009 IEEE International Conference on Image Processing, ICIP 2009 - Proceedings. p. 597-600 4 p.

  Research output: Chapter in Book/Report/Conference proceeding › Chapter
  8 Citations (Scopus)

• A general method for human activity recognition in video

  Robertson, N. & Reid, I. D., 01 Nov 2006, In: Computer Vision and Image Understanding. 104, 2-3, p. 232–248

  Research output: Contribution to journal › Article › peer-review
  125 Citations (Scopus)

• An adaptive motion model for person tracking with instantaneous head-pose features

  Baxter, R. H., Leach, M. J. V., Mukherjee, S. S. & Robertson, N. M., May 2015, In: IEEE Signal processing Letters. 22, 5, p. 578-582 5 p.

  Research output: Contribution to journal › Article › peer-review

  Open Access

  File

  • Instantaneous 100%
  • Person 95%
  • Kalman filters 85%
  • Kalman Filter 76%
  • Motion 67%
  20 Citations (Scopus)

  242 Downloads (Pure)

• A Proposed Gesture Control System for the Control of Collaborative Robots in a Manufacturing Environment

  Barratini, P., Morand, C. & Robertson, N., 01 Sep 2012, 2012 IEEE RO-MAN: The 21st IEEE International Symposium on Robot and Human Interactive Communication, September 9-13, 2012, Paris, France. IEEE Computer Society, p. 132-137 6 p.

  Research output: Chapter in Book/Report/Conference proceeding › Chapter

• A Tale of Two Losses: Discriminative Deep Feature Learning for Person Re-Identification

  Borgia, A., Hua, Y. & Robertson, N., 01 Jul 2017, (Early online date) Irish Machine Vision and Image Processing Conference 2017: Proceedings. Irish Pattern Recognition & Classification Society

  Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

  Open Access

  File

  • Cameras 100%
  • Agglomeration 30%
  66 Downloads (Pure)

• Attention-Based Two-Stream Convolutional Networks for Face Spoofing Detection

  Chen, H., Hu, G., Lei, Z., Chen, Y., Robertson, N. & Li, S., 17 Jun 2019, (Early online date) In: IEEE Transactions on Information Forensics and Security. 16 p.

  Research output: Contribution to journal › Article › peer-review

  Open Access

  File

  • Face recognition 100%
  • Lighting 83%
  • Convolutional neural networks 38%
  • Electric fuses 21%
  • Fusion reactions 16%
  30 Citations (Scopus)

  1840 Downloads (Pure)

• Attribute-Enhanced Face Recognition with Neural Tensor Fusion Networks

  Hu, G., Hua, Y., Yuan, Y., Zhang, Z., Mukherjee, S. S., Hospedales, T., Robertson, N. & Yang, Y., 25 Dec 2017, International Conference on Computer Vision (ICCV) 2017: Proceedings. IEEE , p. 3764-3773 10 p. (IEEE International Conference on Computer Vision (ICCV)).

  Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

  Open Access

  File

  • Tensors 100%
  • Face recognition 96%
  • Fusion reactions 80%
  • Neural networks 24%
  • Invariance 21%
  37 Citations (Scopus)

  420 Downloads (Pure)

• Automatic causal reasoning for video surveillance (PhD Thesis)

  Robertson, N., 2006

  Research output: Other contribution

• Automatic human behaviour recognition and explanation for CCTV video surveillance

  Robertson, N., Reid, I. D. & Brady, J. M., 01 Jul 2008, In: Security Journal. 21, 3, p. 173-188 16 p.

  Research output: Contribution to journal › Article › peer-review

• Automatic reasoning about causal events in surveillance video

  Robertson, N. M. & Reid, I. D., 01 Feb 2011, In: EURASIP Journal on Image and Video Processing. 2011, February

  Research output: Contribution to journal › Article › peer-review
  16 Citations (Scopus)

• Balanced Sensor Management Across Multiple Time Instances via L-1/L-Infinity Norm Minimization

  Rusu, C., Thompson, J. & Robertson, N. M., 19 Jun 2017, 2017 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP). (IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP): Proceedings).

  Research output: Chapter in Book/Report/Conference proceeding › Chapter (peer-reviewed) › peer-review

  • Sensors 100%
  • Relaxation 90%
  • Sensor networks 84%
  3 Citations (Scopus)

• BBAS: Towards large scale effective ensemble adversarial attacks against deep neural network learning

  Shen, J. & Robertson, N., Aug 2021, In: Information Sciences. 569, p. 469-478

  Research output: Contribution to journal › Article › peer-review

  • Network Learning 100%
  • Neural Networks 81%
  • Training 71%
  • Attack 68%
  • Ensemble 67%

• Behaviour understanding in video: a combined method

  Robertson, N. & Reid, I. D., 2005, Tenth IEEE International Conference on Computer Vision, 2005. ICCV 2005.. IEEE Computer Society

  Research output: Chapter in Book/Report/Conference proceeding › Chapter
  54 Citations (Scopus)

• Characterising pedestrian detection on a heterogeneous platform

  Blair, C. G., Robertson, N. & Hume, D., 01 Oct 2012, Proceedings of IEEE/RSJ Int. Conf. Intelligent Robots and Systems Workshops (First Workshop on Smart Cameras for Robotic Applications). IEEE Computer Society

  Research output: Chapter in Book/Report/Conference proceeding › Chapter

• Characterizing a Heterogeneous System for PersonDetection in Video Using Histograms of OrientedGradients: Power Versus Speed Versus Accuracy

  Blair, C., Robertson, N. M. & Hume, D., 29 Apr 2013, In: IEEE Journal on Emerging and Selected Topics in Circuits and Systems. 3, 2, p. 236 - 247 12 p.

  Research output: Contribution to journal › Article › peer-review

  • Graphics processing unit 76%
  • Real time systems 40%
  • Embedded systems 37%
  • Program processors 34%
  • Support vector machines 32%
  26 Citations (Scopus)

• Classifying objects in LWIR imagery via CNNs

  Rodger, I., Connor, B. & Robertson, N. M., 21 Oct 2016, Proc. SPIE: Electro-Optical and Infrared Systems: Technology and Applications XIII. Vol. 9987. p. 99870-99884 14 p.

  Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

  Open Access

  File

  • Convolutional neural networks 100%
  • Infrared radiation 94%
  • Classifiers 77%
  • Automatic target recognition 74%
  • Hot Temperature 52%
  20 Citations (Scopus)

  2269 Downloads (Pure)

• Computational Load Balancing on the Edge in Absence of Cloud and Fog

  Sthapit, S., Thompson, J., Robertson, N. M. & Hopgood, J. R., 09 Aug 2018, (Early online date) In: IEEE Transactions on Mobile Computing. 18, 7, p. 1499 14 p.

  Research output: Contribution to journal › Article › peer-review

  Open Access

  File

  • Clouds 100%
  • Fog 87%
  • Resource allocation 66%
  • Mobile computing 44%
  • Mobile cloud computing 35%
  20 Citations (Scopus)

  252 Downloads (Pure)

• Contextual anomaly detection in crowded surveillance scenes

  Leach, M. J. V., Sparks, E. P. & Robertson, N. M., 15 Jul 2014, In: Pattern Recognition Letters. p. 71-79 9 p.

  Research output: Contribution to journal › Article › peer-review

  Open Access

  File

  • Anomaly detection 100%
  34 Citations (Scopus)

  260 Downloads (Pure)

• Contextual person detection in multi-modal outdoor surveillance

  Robertson, N. & Letham, J., 01 Aug 2012, 2012 Proceedings of the 20th European Signal Processing Conference (EUSIPCO), 27-31 Aug 2012. p. 1930-1934 5 p.

  Research output: Chapter in Book/Report/Conference proceeding › Chapter

  4 Citations (Scopus)

• Contextual smoothing of image segmentation

  Letham, J., Robertson, N. M. & Connor, B., 2010, 2010 IEEE Computer Society Conference on Computer Vision and Pattern Recognition - Workshops, CVPRW 2010. p. 7-12 6 p.

  Research output: Chapter in Book/Report/Conference proceeding › Chapter
  6 Citations (Scopus)

• Contour detection by image analogies

  Larabi, S. & Robertson, N., 01 Jul 2012, Advances in Visual Computing. 2012 ed. Springer, Vol. 7432. p. 430 1 p.

  Research output: Chapter in Book/Report/Conference proceeding › Chapter
  3 Citations (Scopus)

• Cross-view Discriminative Feature Learning for Person Re-Identification

  Borgia, A., Hua, Y., Kodirov, E. & Robertson, N., Nov 2018, In: IEEE Trans. on Image Processing. 27, 11, p. 5338 - 5349

  Research output: Contribution to journal › Article › peer-review

  Open Access

  File

  • Invariance 100%
  • Cameras 66%
  16 Citations (Scopus)

  468 Downloads (Pure)

• DADA: Differentiable Automatic Data Augmentation

  Li, Y., Hu, G., wang, Y., Hospedales, T., Robertson, N. & Yang, Y., 02 Jul 2020, (Accepted) European Conference on Computer Vision 2020 23/08/2020 → 28/08/2020 Glasgow, United Kingdom. Springer, 16 p. (Lecture Notes in Computer Science).

  Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

  Open Access

  File

  • Reinforcement learning 100%
  • Costs 38%
  • Experiments 35%
  9 Downloads (Pure)

• Deep Action Classication via Matrix Completion

  Bomma, S. & Robertson, N., 2016, Proceedings of the 24th European Signal Processing Conference.

  Research output: Chapter in Book/Report/Conference proceeding › Chapter (peer-reviewed) › peer-review

• Deep Corals, Deep Learning: Moving the Deep Net Towards Real-Time Image Annotation

  Henry, L-A., Mukherjee, S. S., Robertson, N. M., De Clippele, L. & Roberts, J. M., 12 Sep 2016. 1 p.

  Research output: Contribution to conference › Poster › peer-review

  File

  • Image annotation 100%
  • Big data 68%
  • Deep learning 67%
  • Biodiversity 54%
  • Artificial intelligence 33%
  175 Downloads (Pure)

• Deep Head Pose: Gaze-Direction Estimation in Multimodal Video

  Mukherjee, S. S. & Robertson, N. M., Nov 2015, In: IEEE Transactions on Multimedia. 17, 11, p. 2094-2107 14 p.

  Research output: Contribution to journal › Article › peer-review

  Open Access

  • Statistical Models 100%
  • Classifiers 77%
  • Computer hardware 64%
  84 Citations (Scopus)

• Deep Metric Learning by Online Soft Mining and Class-Aware Attention

  Wang, X., Hua, Y., Kodirov, E., Hu, G. & Robertson, N., 2019, AAAI-19: The Thirty-Third AAAI Conference on Artificial Intelligence: Proceedings. Association for the Advancement of Artificial Intelligence (AAAI), p. 5361-5368 8 p. (AAAI Conference on Artificial Intelligence).

  Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

  Open Access

  File
  8 Citations (Scopus)

  46 Downloads (Pure)

• Deep Metric Learning for Proteomics

  Lennox, M., Devereux, B. & Robertson, N., 23 Feb 2021, Proceedings - 19th IEEE International Conference on Machine Learning and Applications, ICMLA 2020. Wani, M. A., Luo, F., Li, X., Dou, D. & Bonchi, F. (eds.). IEEE , p. 308-313 6 p. 9356221. (Proceedings - 19th IEEE International Conference on Machine Learning and Applications, ICMLA 2020).

  Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

  Open Access

  File

  • Proteomics 100%
  • Deep learning 66%
  • Proteins 51%
  • Enantioselectivity 37%
  • Cell membranes 25%
  62 Downloads (Pure)

• Deep Multi-Task Learning to Recognise Subtle Facial Expressions of Mental States

  Hu, G., Liu, L., Yuan, Y., Yu, Z., Hua, Y., Zhang, Z., Shen, F., Shao, L., Hospedales, T., Robertson, N. & Yang, Y., 06 Oct 2018, European Conference on Computer Vision 2018: Proceedings. p. 106-123 18 p. (Lecture Notes in Computer Science; vol. 11216).

  Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

  Open Access

  File

  • Multi-task learning 100%
  • Convolutional neural networks 67%
  • Network layers 20%
  • Tensors 18%
  • Deep neural networks 18%
  4 Citations (Scopus)

  350 Downloads (Pure)

• Deep object classification in low resolution LWIR imagery via transfer learning

  Abbott, R., Del Rincon, J. M., Connor, B. & Robertson, N., 23 Nov 2017, Proceedings of the 5th IMA Conference on Mathematics in Defence. 9 p.

  Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

  Open Access

  File

  • Large dataset 60%
  • Detectors 43%
  • Hot Temperature 40%
  • Optical resolving power 36%
  • Image resolution 30%
  939 Downloads (Pure)

• Deep stock representation learning: from candlestick charts to investment decisions

  Hu, G., Hu, Y., Yang, K., Yu, Z., Sung, F., Zhang, Z., Xie, F., Liu, J., Robertson, N., Hospedales, T. & Miemie, Q., 26 Jan 2018, (Accepted).

  Research output: Contribution to conference › Paper › peer-review

  Open Access

  File

  • Invariance 100%
  • Deep learning 84%
  258 Downloads (Pure)

• Depth sensor placement for human robot cooperation

  Stähr, M., Wallace, A. M. & Robertson, N., 2014, ICINCO 2014 - Proceedings of the 11th International Conference on Informatics in Control, Automation and Robotics. SciTePress, Vol. 2. p. 311-318 8 p.

  Research output: Chapter in Book/Report/Conference proceeding › Chapter
  1 Citation (Scopus)

• Detecting low-resolution faces in video

  Robertson, N. & Janssen, N., 2009, In: Proceedings of SPIE - the International Society for Optical Engineering. 7252

  Research output: Contribution to journal › Article › peer-review

• Detecting social groups in crowded surveillance videos using visual attention

  Leach, M., Baxter, R., Robertson, N. & Sparks, E., 01 Jan 2014, IEEE Computer Society Conference on Computer Vision and Pattern Recognition Workshops. IEEE Computer Society, p. 467-473 7 p.

  Research output: Chapter in Book/Report/Conference proceeding › Chapter
  10 Citations (Scopus)

• Discrepancy-Guided Domain-Adaptive Data Augmentation

  Gao, J., Hua, Y., Hu, G., Wang, C. & Robertson, N., 26 Oct 2021, (Accepted) In: IEEE Transactions on Neural Networks and Learning Systems.

  Research output: Contribution to journal › Article › peer-review

• Distributed Implementation for Person Re-Identification

  Sthapit, S., Thompson, J., Hopgood, J. R. & Robertson, N., 2015, 2015 Sensor Signal Processing for Defence (SSPD). IEEE Computer Society

  Research output: Chapter in Book/Report/Conference proceeding › Chapter
  2 Citations (Scopus)

• Dynamic Distance-Based Shape Features for Gait Recognition

  Whytock, T., Belyaev, A. & Robertson, N. M., Nov 2014, In: Journal of Mathematical Imaging and Vision.

  Research output: Contribution to journal › Article › peer-review

  Open Access

  File

  • Gait Recognition 100%
  • Shape Feature 77%
  • gait 68%
  • musculoskeletal system 52%
  • Skeleton 49%
  37 Citations (Scopus)

  175 Downloads (Pure)

• Estimating Gaze Direction from Low-Resolution Faces in Video

  Robertson, N., 2006, Proc. European Conference on Computer Vision 2006. Springer

  Research output: Chapter in Book/Report/Conference proceeding › Chapter
  38 Citations (Scopus)

• Estimation of resistive pressure effects in mechanical heart valves due to MRI

  Robertson, N., Diaz-Gomez, M. & Condon, B., 2001, Proc. 9th Annual Meeting of the International Society of Magnetic Resonance in Medicine (ISMRM). ISMRM

  Research output: Chapter in Book/Report/Conference proceeding › Chapter

• Estimation of torque on mechanical heart valves due to magnetic resonance imaging including an estimation of the significance of the Lenz effect using a computational model

  Robertson, N., Diaz-Gomez, M. & Condon, B., 01 Dec 2000, In: Physics in Medicine and Biology. 45, 12

  Research output: Contribution to journal › Article › peer-review
  11 Citations (Scopus)

• Event-driven dynamic platform selection for power-aware real-time anomaly detection in video

  Blair, C. G. & Robertson, N., 01 Jan 2014.

  Research output: Contribution to conference › Other › peer-review
  3 Citations (Scopus)

• Expanding the Vocabulary of a Protein: Application of Subword Algorithms to Protein Sequence Modelling

  Lennox, M., Robertson, N. & Devereux, B., 27 Aug 2020, 42nd Annual International Conferences of the IEEE Engineering in Medicine and Biology Society in conjunction with the 43rd Annual Conference of the Canadian Medical and Biological Engineering Society: Proceedings. Vol. 2020. p. 2361-2367 7 p. (Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual International Conference).

  Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

  Open Access

  File

  • Vocabulary 100%
  • Proteins 29%
  • Natural Language Processing 16%
  • Deep Learning 15%
  • Drug Development 10%
  1 Citation (Scopus)

  18 Downloads (Pure)

• Face Recognition Using a Unified 3D Morphable Model

  Hu, G., Yan, F., Chan, C-H., Deng, W., Christmas, W., Kittler, J. & Robertson, N. M., 17 Sep 2016, Computer Vision – ECCV 2016: 14th European Conference, Amsterdam, The Netherlands, October 11-14, 2016, Proceedings, Part VIII. Springer Verlag, p. 73-89 17 p. (Lecture Notes in Computer Science; vol. 9912).

  Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

  Open Access

  File

  • Face recognition 100%
  • Textures 55%
  • Degradation 48%
  • Lighting 27%
  • Computer simulation 19%
  24 Citations (Scopus)

  1953 Downloads (Pure)

• FairFace Challenge at ECCV 2020: Analyzing Bias in Face Recognition

  Sixta, T., Junior, J., Buch-Cardona, P., Robertson, N., Vasquez, E. & Escalera, S., 16 Sep 2020.

  Research output: Contribution to conference › Paper › peer-review

  Open Access

• Fine-Grained Pose Temporal Memory Module for Video Pose Estimation and Tracking

  Wang, C., Hua, Y., Song, T., Xue, Z., Ma, R., Robertson, N. & Guan, H., 13 May 2021, 2021 IEEE International Conference on Acoustics, Speech and Signal Processing: Proceedings. IEEE Signal Processing Society, (IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP)).

  Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

  • Data storage equipment 100%
  • Error detection 36%
  • Cameras 23%

• GAN-based Pose-aware Regulation for Video-based Person Re-identification

  Borgia, A., Hua, Y., Kodirov, E. & Robertson, N. M., 07 Mar 2019, WACV 2019: The IEEE Winter Conference on Applications of Computer Vision: Proceedings. 10 p. (IEEE Winter Conference on Applications of Computer Vision (WACV): Proceedings).

  Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

  Open Access

  File

  • Recurrent neural networks 77%
  • Electric fuses 77%
  • Fusion reactions 60%
  • Experiments 26%
  4 Citations (Scopus)

  217 Downloads (Pure)

• Give me a hand - the potential of mobile assistive robots in automotive logistics and assembly applications

  Angerer, S., Strassmair, C., Staehr, M., Roettenbacher, M. & Robertson, N., 01 Apr 2012, Proceedings of the IEEE International Conference on Technologies for Practical Robot Applications (TEPRA2012). IEEE Computer Society

  Research output: Chapter in Book/Report/Conference proceeding › Chapter
  30 Citations (Scopus)

• GPU-Accelerated Gaussian Processes for Object Detection

  Blair, C., Thompson, J. & Robertson, N., 2015, 2015 Sensor Signal Processing for Defence (SSPD). IEEE Computer Society

  Research output: Chapter in Book/Report/Conference proceeding › Chapter
  1 Citation (Scopus)

• Head direction estimation from silhouette

  Bensebaa, A., Larabi, S. & Robertson, N., 2013, Image Analysis and Processing – ICIAP 2013. Petrosino, A. (ed.). Springer, p. 340-350 11 p. (Lecture Notes in Computer Science).

  Research output: Chapter in Book/Report/Conference proceeding › Chapter
  3 Citations (Scopus)