Neil Robertson

Research output

Research output per year 2000 2012 2013 2014 2015 2016 2018 2019 2020 2021 2022

• 38 Chapter
• 30 Conference contribution
• 24 Article
• 6 Other
• 9 More
  • 4 Paper
  • 2 Chapter (peer-reviewed)
  • 2 Poster
  • 1 Other contribution

Research output per year

Research output per year

Search results

• 2021

  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

  • Deep Neural Network 100%
  • Attack 75%
  • Generation 50%
  • Experimental Result 25%
  • Rapid Development 25%

• Deep Learning Proteins using a Triplet-BERT network

  Lennox, M., Robertson, N. & Devereux, B., 09 Dec 2021, In: Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual International Conference. 2021, p. 4341-4347 7 p.

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

  • Protein 100%
  • Enalapril Maleate 50%
  • Deep Learning 50%
  • Thermostability 25%
  • Absorption 25%

• Discrepancy-Guided Domain-Adaptive Data Augmentation

  Gao, J., Hua, Y., Hu, G., Wang, C. & Robertson, N. M., 07 Dec 2021, (Early online date) In: IEEE Transactions on Neural Networks and Learning Systems. 12 p.

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

  Open Access

  • Domains 100%
  • Domain Adaptation 37%
  • Adaptation Algorithm 25%
  • Generalization 12%
  • Expert Knowledge 12%

• Modelling Drug-Target Binding Affinity using a BERT based Graph Neural network

  Lennox, M., Robertson, N. & Devereux, B., 09 Dec 2021, In: Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual International Conference. 2021, p. 4348-4353 6 p.

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

  • Drug 100%
  • Protein 66%
  • Bidirectional Encoder Representations From Transformers 55%
  • Enalapril Maleate 33%
  • Neural Network 33%

• Ranked List Loss for Deep Metric Learning

  Wang, X., Hua, Y., Kodirov, E. & Robertson, N., 24 Mar 2021, (Early online date) In: IEEE Transactions on Pattern Analysis and Machine Intelligence.

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

  Open Access

  File

  • Functions 100%
  • Embedding 50%
  • Art Performance 50%
  • Embedding Space 50%
  • Image Retrieval 50%
  89 Downloads (Pure)
• 2019

  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

  • Frequency Information 100%
  30 Citations (Scopus)

  2491 Downloads (Pure)
• 2018

  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

  • Algorithms 100%
  • Mobile Device 66%
  • Connectivity 33%
  • Scheduling 33%
  • Networks 33%
  20 Citations (Scopus)

  302 Downloads (Pure)

• 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

  • Class Relationship 100%
  16 Citations (Scopus)

  630 Downloads (Pure)

• Sensor scheduling with time, energy and communication constraints

  Rusu, C., Thompson, J. & Robertson, N., 15 Jan 2018, In: IEEE Transactions on Signal Processing. 66, 2, p. 528-539

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

  Open Access

  File

  • Algorithms 100%
  • Sensor 66%
  • Scheduling Problem 66%
  • Communication 66%
  • Network Scenario 33%
  12 Citations (Scopus)

  308 Downloads (Pure)
• 2016

  Robust indoor speaker recognition in a network of audio and video sensors

  D'Arca, E., Robertson, N. M. & Hopgood, J. R., Dec 2016, In: Signal Processing. 129, p. 137-149 13 p.

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

  Open Access

  File

  • Speaker Diarization 100%
  • Situational Awareness 50%
  • Source Localization 50%
  • Scene Understanding 50%
  12 Citations (Scopus)

  311 Downloads (Pure)

• Video anomaly detection in real-time on a Power-Aware Heterogeneous Platform

  Blair, C. G. & Robertson, N. M., Nov 2016, In: IEEE Transactions on Circuits and Systems for Video Technology. 26, 11, p. 2109-2122 4 p.

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

  Open Access

  File

  • Design 100%
  • Real Time Performance 100%
  • Motion Sensor 50%
  • Video Processing 50%
  • Power Consumption 50%
  10 Citations (Scopus)

  459 Downloads (Pure)
• 2015

  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

  • Behavior 100%
  • Kalman Filtering 100%
  • Behavior (Neuroscience) 100%
  • Performance 50%
  • Algorithms 50%
  20 Citations (Scopus)

  288 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

  • Depth Information 100%
  • Gaze Direction 100%
  • Data Surveillance 100%
  • Visual Attention 100%
  • Lowest Resolution 100%
  84 Citations (Scopus)

• Human behaviour recognition in data-scarce domains

  Baxter, R. H., Robertson, N. M. & Lane, D. M., Aug 2015, In: Pattern Recognition. 48, 8, p. 2377-2393 17 p.

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

  Open Access

  File

  • Event Analysis 100%
  • Tier Architecture 100%
  15 Citations (Scopus)

  213 Downloads (Pure)

• On covariate factor detection and removal for robust gait recognition

  Whytock, T., Belyaev, A. & Robertson, N. M., Jul 2015, In: Machine Vision and Applications. 26, 5, p. 661-674 14 p.

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

  Open Access

  File
  9 Citations (Scopus)

  208 Downloads (Pure)
• 2014

  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

  • Normal Behavior 100%
  34 Citations (Scopus)

  308 Downloads (Pure)

• 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

  • Distance Function 100%
  • Descriptor 50%
  • Function Approximation 50%
  • Poisson Equation 50%
  37 Citations (Scopus)

  214 Downloads (Pure)
• 2013

  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

  • Field Programmable Gate Arrays 100%
  • Graphics Processing Unit 66%
  • Accuracy 66%
  • Image Processing 33%
  • Embedded Systems 33%
  26 Citations (Scopus)
• 2012

  Visual saliency from image features with application to compression

  Harding, P. J. & Robertson, N., 2012, In: Cognitive Computation. 5, 1

  Research output: Contribution to journal › Article › peer-review
  14 Citations (Scopus)
• 2011

  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)
• 2009

  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
• 2008

  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
• 2006

  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)
• 2000

  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)