Thomas TANAY

Senior Research scientist at Huawei Technologies Ltd, Noah's Ark Lab (London, UK).

Publications

Global Latent Neural Rendering.
Tanay, T. and Maggioni, M.
CVPR, 2024
arXiv Project page
Adaptive Spiral Layers for Efficient 3D Representation Learning on Meshes.
Babiloni, F., Maggioni, M., Tanay, T., Deng, J., Leonardis, A. and Zafeiriou, S.
ICCV, 2023
Github
VSCHH 2023: A Benchmark for the View Synthesis Challenge of Human Heads.
Jang, Y.K., Zheng, J., Song, J., Dhamo, H. PĂ©rez-Pellitero, E., Tanay, T. et al.
ICCV workshops, 2023 (Ranked #1, oral)
Webpage CodaLab
Factorized Dynamic Fully Connected Layers for Neural Networks.
Babiloni, F., Tanay, T., Deng, J., Maggioni, M. and Zafeiriou, S.
ICCV Workshops, 2023
CVF
Efficient View Synthesis and 3D-based Multi-Frame Denoising with Multiplane Feature Representations.
Tanay, T., Leonardis, A. and Maggioni, M.
CVPR, 2023
arXiv Project page
Tunable Convolutions with Parametric Multi-Loss Optimization.
Maggioni, M., Tanay, T., Babiloni, F., McDonagh, S. and Leonardis, A.
CVPR, 2023
arXiv
Diagnosing and Preventing Instabilities in Recurrent Video Processing.
Tanay, T., Sootla, A., Maggioni, M., Dokania, P. K., Torr, P., Leonardis, A. and Slabaugh, G.
TPAMI, 2022
arXiv TPAMI
FlexHDR: Modelling Alignment and Exposure Uncertainties for Flexible HDR Imaging.
Catley‑Chandar, S., Tanay, T., Vandroux, L., Leonardis, A., Slabaugh, G. and Pérez‑Pellitero, E.
TIP, 2022
arXiv TIP Project page
NTIRE 2021 Challenge on Quality Enhancement of Compressed Video: Methods and Results.
Yang, R. et al.
CVPR Workshops, 2021
CVF
NTIRE 2020 Challenge on Real Image Denoising: Dataset, Methods and Results.
Abdelhamed, A. et al.
CVPR Workshops, 2020
CVF
Built‑in Vulnerabilities to Imperceptible Adversarial Perturbations.
Tanay, T., Andrews, J. T. A. and Griffin, L. D.
BMVA Technical Meeting, 2019 (oral)
arXiv
Batch Normalization is a Cause of Adversarial Vulnerability.
Galloway, A., Golubeva, A., Tanay, T., Moussa, M., Taylor, G. W.
arXiv, 2019
arXiv
Multiple‑Identity Image Attacks Against Face‑Based Identity Verification.
Andrews, J. T. A., Tanay, T. and Griffin, L. D.
arXiv, 2019
arXiv
Adversarial Training versus Weight Decay.
Galloway, A., Tanay, T. and Taylor, G. W.
arXiv, 2018
arXiv
Transfer Representation‑Learning for Anomaly Detection.
Andrews, J. T. A., Tanay, T., Morton, E. J. and Griffin, L. D.
JMLR, 2016
A Boundary Tilting Persepective on the Phenomenon of Adversarial Examples.
Tanay, T. and Griffin, L. D.
arXiv, 2016
arXiv
HeX and the Single Anthill: Playing Games with Aunt Hillary.
Bishop, J. M., Nasuto, S. J., Tanay, T., Roesch, E. B. and Spencer, M. C.
Fundamental Issues of Artificial Intelligence, 2016
SDST: a Swarm Intelligence Heuristic Performing Monte‑Carlo Tree Search.
Tanay, T., Bishop, J. M., Nasuto, S. J., Roesch, E. B. and Spencer, M. C.
AISB, 2013

Posts

How Government Expenditures Finance Themselves.
A macroeconomic model from Wynne Godley and Marc Lavoie.
2022
A New Angle on L2 Regularization.
An explorable explanation of adversarial examples in linear classification.
2018
KDnuggets
Face Verification and Clustering.
2015
Stochastic Diffusion Search Applied to Trees.
2013