Research output per year
Research output per year
Personal profile
Education/Academic qualification
Signal Processing, Doctor of Philosophy (PhD), Adaptive Sparse Coding and Dictionary Selection, University of Edinburgh
Award Date: 21 Jan 2010
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Dive into the research topics where Mehrdad Yaghoobi Vaighan is active. These topic labels come from the works of this person. Together they form a unique fingerprint.
- 1 Similar Profiles
Collaborations and top research areas from the last five years
Recent external collaboration on country/territory level. Dive into details by clicking on the dots or
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From pixels to waveforms: Evaluating pre-trained image models for few-shot audio classification
Heggan, C., Hospedales, T. M., Budgett, S. & Yaghoobi Vaighan, M., 15 Mar 2024, (Accepted/In press) Proceedings of the International Joint Conference on Neural Networks (IJCNN).Research output: Chapter in Book/Report/Conference proceeding › Conference contribution
Open AccessFile -
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 AccessFile -
SLX: Similarity Learning for X-Ray Screening and Robust Automated Disassembled Object Detection
Dionelis, N., Jackson, R., Tsaftaris, S. A. & Yaghoobi Vaighan, M., 23 Jun 2023, 2023 International Joint Conference on Neural Networks (IJCNN). Institute of Electrical and Electronics EngineersResearch output: Chapter in Book/Report/Conference proceeding › Conference contribution
Open AccessFile -
Amortised Invariance Learning for Contrastive Self-Supervision
Chavhan, R., Stuehmer, J., Heggan, C., Yaghoobi, M. & Hospedales, T. M., 1 May 2023, The Eleventh International Conference on Learning Representations: ICLR 2023. 23 p.Research output: Chapter in Book/Report/Conference proceeding › Conference contribution
Open AccessFile -
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
Projects
- 11 Finished
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Onboard AI-based Decision Making on Synthetic Aperture Radar Space Platforms
3/06/24 → 16/08/24
Project: Research
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Automatic Ground Penetrating Radar Target Detection using Back-Projection and Semi-Supervised Learning (£82K)
16/10/23 → 28/06/24
Project: Research
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Adaptive SAR Signal Compression Through Artificial Intelligence (€15K)
20/12/22 → 22/12/23
Project: Research
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Anomaly Detection and Characterisation with Few-Shot Machine Learning
1/10/20 → 30/09/24
Project: Research