Signal Processing in the Information Age

Research output

Research output per year 2019 2020 2021 2022 2023 2024

• 28 Conference contribution
• 14 Article
• 2 Paper

Research output per year

Research output per year

Search results

• 2024

  Implementation of AKKF-based Multi-Sensor Fusion Methods in Stone Soup

  Wright, J., Sun, M., Davies, M. E., Proudler, I. & Hopgood, J. R., 11 Oct 2024, (E-pub ahead of print) 2024 27th International Conference on Information Fusion (FUSION). Institute of Electrical and Electronics Engineers, 6 p.

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

  Open Access

  File

  • Fusion Technique 100%
• 2023

  Adaptive Kernel Kalman Filter for Magnetic Anomaly Detection-based Metallic Target Tracking

  Sun, M., Hodgskin-Brown, R., Davies, M. E., Proudler, I. & Hopgood, J. R., 22 Sept 2023, (E-pub ahead of print) 2023 Sensor Signal Processing for Defence Conference (SSPD) . Institute of Electrical and Electronics Engineers, 5 p.

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

  Open Access

  File

  • Tracking (Position) 100%
  • Detection 100%
  • Magnetic Anomalies 100%
  • Particle 100%
  • Magnetometer 50%

• Implementation of Adaptive Kernel Kalman Filter in Stone Soup

  Wright, J., Hopgood, J. R., Davies, M. E., Proudler, I. & Sun, M., 22 Sept 2023, (E-pub ahead of print) 2023 Sensor Signal Processing for Defence Conference (SSPD). Institute of Electrical and Electronics Engineers, 6 p.

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

  Open Access

  File

  • Multisensor Fusion 100%
  • Kalman Filtering 100%
  • Algorithms 50%
  • Utilization 50%
  • Performance 50%

• Meta Omnium: A Benchmark for General-Purpose Learning-to-Learn

  Bohdal, O., Tian, Y., Zong, Y., Chavhan, R., Li, D., Gouk, H., Guo, L. & Hospedales, T., 22 Aug 2023, 2023 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR). Institute of Electrical and Electronics Engineers, p. 7693-7703 11 p. (Conference on Computer Vision and Pattern Recognition (CVPR)).

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

  Open Access

  File

  • Knowledge Transfer 100%
  • Research Worker 100%
  • Application 100%
  • Few-Shot Learning 100%
  • Regression 100%

• MT-SLVR: Multi-Task Self-Supervised Learning for Transformation In(Variant) Representations

  Heggan, C., Hospedales, T., Budgett, S. & Yaghoobi, M., 20 Aug 2023, Proc. INTERSPEECH 2023. International Speech Communication Association, p. 4399-4403 5 p. (Interspeech).

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

  Open Access

  File

  • Representation 100%
  • Self-Supervised Learning 100%
  • Transformations 100%
  • Classification Task 33%
  • Unlabeled Data 33%

• Quality Diversity for Visual Pre-Training

  Chavhan, R., Gouk, H., Li, D. & Hospedales, T., 11 Aug 2023, (Accepted/In press) Proceedings of the IEEE/CVF International Conference on Computer Vision (ICCV). Institute of Electrical and Electronics Engineers, p. 5384-5394 11 p. (International Conference on Computer Vision (ICCV)).

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

  Open Access

  File

  • Transformations 100%
  • Transfer Learning 100%
  • De Facto Standard 50%
  • Large Data Set 50%
  • Learning Approach 50%

• FROB: Few-Shot ROBust Model for Joint Classification and Out-of-Distribution Detection

  Dionelis, N., Tsaftaris, S. A. & Yaghoobi Vaighan, M., 17 Mar 2023, (E-pub ahead of print) Machine Learning and Knowledge Discovery in Databases : European Conference, ECML PKDD 2022, Grenoble, France, September 19–23, 2022, Proceedings, Part III. Springer, Vol. 13715. p. 137-153 (Lecture Notes in Computer Science; vol. 13715).

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

  Open Access

  • Detection 100%
  • Classification 100%
  • Models 100%
  • Class Distribution 75%
  • Generation 50%
• 2022

  CTR: Contrastive Training Recognition Classifier for Few-Shot Open-World Recognition

  Dionelis, N., Tsaftaris, S. A. & Yaghoobi Vaighan, M., 29 Nov 2022, (E-pub ahead of print) 2022 26th International Conference on Pattern Recognition (ICPR). Institute of Electrical and Electronics Engineers, p. 1792-1799 8 p.

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

  Open Access

  File

  • Detection 100%
  • Classifier 100%
  • Anomaly Detection 100%
  • Sample Distribution 66%
  • Classes 66%

• Why Do Self-Supervised Models Transfer? On the Impact of Invariance on Downstream Tasks

  Ericsson, L., Gouk, H. & Hospedales, T., 25 Nov 2022, Proceedings of the 33rd British Machine Vision Conference 2022, (BMVC 2022). BMVA Press, 14 p. 509

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

  Open Access

  File

  • Computer Vision 100%
  • Representation 100%
  • Self-Supervised Learning 100%
  • Real World 100%
  • Standards 100%

• Performance Evaluation of Simultaneous Sensor Registration and Object Tracking Algorithm

  MacDonald, S., Proudler, I., Davies, M. E. & Hopgood, J. R., 13 Oct 2022, 2022 IEEE International Conference on Multisensor Fusion and Integration for Intelligent Systems (MFI): 20-22 Sept. 2022. Institute of Electrical and Electronics Engineers

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

  Open Access

  File

  • Algorithms 100%
  • Error 100%
  • Evaluation 100%
  • Performance Evaluation 100%
  • Sensor 100%

• OMASGAN: Out-of-distribution Minimum Anomaly Score GAN for Anomaly Detection

  Dionelis, N., Tsaftaris, S. A. & Yaghoobi Vaighan, M., 23 Sept 2022, (E-pub ahead of print) 2022 Sensor Signal Processing for Defence Conference (SSPD). Institute of Electrical and Electronics Engineers

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

  Open Access

  File

  • Anomaly 100%
  • Anomaly Detection 100%
  • Sample 30%
  • Datum 23%
  • Model 23%

• MetaAudio: A Few-Shot Audio Classification Benchmark

  Heggan, C., Budgett, S., Hospedales, T. M. & Yaghoobi Vaighan, M., 7 Sept 2022, Artificial Neural Networks and Machine Learning – ICANN 2022 : 31st International Conference on Artificial Neural Networks, Bristol, UK, September 6–9, 2022, Proceedings, Part I. Springer, Vol. 13529. p. 219–230 12 p. (Lecture Notes in Computer Science; vol. 13529).

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

  Open Access

  File

  • Training 100%
  • Classification 100%
  • Benchmark 100%
  • Athletic Training 100%
  • Acoustics 75%

• Loss Function Learning for Domain Generalization by Implicit Gradient

  Gao, B., Gouk, H., Yang, Y. & Hospedales, T. M., 23 Jul 2022, Proceedings of the 39th International Conference on Machine Learning. PMLR, Vol. 162. p. 7002-7016 15 p. (Proceedings of Machine Learning Research; vol. 162).

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

  Open Access

  File

  • Domains 100%
  • Functions 100%
  • Generalization 100%
  • Risk Minimization 42%
  • Entropy 28%

• Shallow Bayesian Meta Learning for Real-World Few-Shot Recognition

  Zhang, X., Meng, D., Gouk, H. & Hospedales, T., 28 Feb 2022, Proceedings of 2021 IEEE/CVF International Conference on Computer Vision ICCV 2021 . Institute of Electrical and Electronics Engineers, p. 631-640 10 p. (2021 IEEE/CVF International Conference on Computer Vision (ICCV)).

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

  Open Access

  File

  • Representation 100%
  • Real World 100%
  • Few-Shot Learning 100%
  • Classifier 100%
  • Nearest Centroid 50%
• 2021

  Few-Shot Adaptive Detection of Objects of Concern Using Generative Models with Negative Retraining

  Dionelis, N., Yaghoobi Vaighan, M. & Tsaftaris, S. A., 21 Dec 2021, (E-pub ahead of print) 2021 IEEE 33rd International Conference on Tools with Artificial Intelligence (ICTAI). Institute of Electrical and Electronics Engineers, p. 8

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

  Open Access

  File

  • Detection 100%
  • Generative Adversarial Networks 100%
  • Generative Model 100%
  • Evaluation 28%
  • Large Data Set 28%

• How Well Do Self-Supervised Models Transfer?

  Ericsson, L., Gouk, H. & Hospedales, T. M., 2 Nov 2021, 2021 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR). Institute of Electrical and Electronics Engineers, p. 5414-5423 19 p.

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

  Open Access

  File

  • Models 100%
  • Supervised Method 25%
  • Evaluation 25%
  • Few-Shot Object Detection 25%
  • Accuracy 25%

• Adaptive Kernel Kalman Filter

  Sun, M., Davies, M. E., Proudler, I. & Hopgood, J. R., 23 Sept 2021, (E-pub ahead of print) 2021 Sensor Signal Processing for Defence Conference. Institute of Electrical and Electronics Engineers

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

  • Kernel 100%
  • Kalman Filtering 100%
  • Hilbert Spaces 57%
  • Particle 57%
  • Reproducing Kernel 28%

• Adaptive Kernel Kalman Filter Multi-Sensor Fusion

  Sun, M., Davies, M. E., Proudler, I. & Hopgood, J. R., 2 Sept 2021, (Accepted/In press) 24th International Conference on Information Fusion. Institute of Electrical and Electronics Engineers

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

  • Sensor Fusion 100%
  • Kalman Filtering 100%
  • Multisensor Fusion 100%
  • Sensor 62%
  • Tracking 50%

• Weight-covariance alignment for adversarially robust neural networks

  Eustratiadis, P., Gouk, H., Li, D. & Hospedales, T., 18 Jul 2021, Proceedings of the 38th International Conference on Machine Learning. Meila, M. & Zhang, T. (eds.). PMLR, p. 3047-3056 10 p. (Proceedings of Machine Learning Research; vol. 139).

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

  Open Access

  File

  • Neural Network 100%
  • Art Performance 16%
  • Benchmark 16%

• Distance-Based Regularisation of Deep Networks for Fine-Tuning

  Gouk, H., Hospedales, T. M. & Pontil, M., 4 May 2021, International Conference on Learning Representations (ICLR 2021). 20 p.

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

  Open Access

  File

  • Transfer Learning 100%
  • Generalization 100%
  • Networks 100%
  • Regularization 100%
  • Initial Value 50%

• Joint Spatio-Temporal Bias Estimation and Tracking for GNSS-Denied Sensor Networks

  MacDonald, S. & Hopgood, J. R., 2021, (Accepted/In press) 2021 Sensor Signal Processing for Defence Conference (SSPD).

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

  • Sensor Networks 100%
  • Sensor 100%
  • Tracking Object 33%
  • Accuracy 22%
  • Hierarchical Bayesian Model 11%
• 2020

  Joint robust linear regression and anomaly detection in poisson noise using expectation-propagation

  Yao, D., Altmann, Y., McLaughlin, S. & Davies, M. E., 18 Dec 2020, 2020 28th European Signal Processing Conference (EUSIPCO): Proceedings. Institute of Electrical and Electronics Engineers, p. 2463-2467 5 p. 9287355. (European Signal Processing Conference; vol. 2021-January).

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

  • Poisson Process 100%
  • Regression 100%
  • Anomaly Detection 100%
  • Propagation Algorithm 33%
  • Posterior Distribution 33%

• Online Meta-Critic Learning for Off-Policy Actor-Critic Methods

  Zhou, W., Li, Y., Yang, Y., Wan, H. & Hospedales, T. M., 6 Dec 2020, Advances in Neural Information Processing Systems 33 (NeurIPS 2020). Curran Associates Inc, p. 17662-17673 12 p.

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

  Open Access

  File

  • Actors 100%
  • Continuous Control 33%
  • Learning Benefit 16%
  • Expected Return 16%
  • Learning Algorithm 16%

• A Gaussian Process based Method for Multiple Model Tracking

  Sun, M., Davies, M., Proudler, I. & Hopgood, J., 30 Nov 2020, 2020 Sensor Signal Processing for Defence Conference (SSPD). Institute of Electrical and Electronics Engineers, p. 1-5 5 p.

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

  • Gaussian Process 100%
  • Motion Model 100%
  • Models 100%
  • Particle Filter 33%
  • Filters 33%

• Robust depth imaging in adverse scenarios using single-photon Lidar and beta-divergences

  Legros, Q., McLaughlin, S., Altmann, Y., Meignen, S. & Davies, M. E., 30 Nov 2020, 2020 Sensor Signal Processing for Defence Conference, SSPD 2020. Institute of Electrical and Electronics Engineers, 9272116. (2020 Sensor Signal Processing for Defence Conference, SSPD 2020).

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

  • Models 100%
  • Event Detection 50%
  • Functions 50%
  • Synthetic Data 50%
  • Considered Model 50%

• Deep Clustering for Domain Adaptation

  Gao, B., Yang, Y., Gouk, H. & Hospedales, T. M., 14 May 2020, ICASSP 2020 - 2020 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP). Institute of Electrical and Electronics Engineers, p. 4247-4251 5 p.

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

  Open Access

  File

  • Domain Adaptation 100%
  • Unlabeled Data 100%
  • Domains 100%
  • Clustering 100%
  • Classifier 50%

• Sensor Registration and Tracking from Heterogeneous Sensors with Belief Propagation

  Cormack, D. & Hopgood, J., 27 Feb 2020, 2019 22th International Conference on Information Fusion (FUSION). Institute of Electrical and Electronics Engineers

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

  • Sensor 100%
  • Belief Propagation 100%
  • Accuracy 28%
  • Sensor Networks 14%
  • Sensor Fusion 14%
• 2019

  Message Passing for Joint Registration and Tracking in Multistatic Radar

  Cormack, D. & Hopgood, J., 1 Jul 2019, (E-pub ahead of print) 2019 Sensor Signal Processing for Defence Conference (SSPD). Institute of Electrical and Electronics Engineers

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

  • Tracking Algorithm 100%
  • Joint 100%
  • Messages 100%
  • Radar 100%
  • Message Passing 100%