Thomas TANAY
Senior Research scientist at Huawei Technologies Ltd, Noah's Ark Lab (London, UK).
Selected publications
GRVS: A Generalizable and Recurrent Approach to Monocular Dynamic View Synthesis.
Tanay*, Brahimi*, Nazarczuk, Zhang, Catley‑Chandar, Moreau, Zhang and Pérez‑Pellitero
CVPR Findings, 2026
Off The Grid: Detection of Primitives for Feed-Forward 3D Gaussian Splatting.
Moreau, Shaw, Nazarczuk, Shin, Tanay, Xu, Zhang and Pérez‑Pellitero
CVPR, 2026
Charge: A Comprehensive Novel View Synthesis Benchmark and Dataset to Bind Them All.
Nazarczuk, Tanay, Zhang and Pérez‑Pellitero
CVPR, 2026
Better Together: Unified Motion Capture and 3D Avatar Reconstruction.
Moreau, Brahimi, Shaw, Papaioannou, Tanay, Zhang and Pérez‑Pellitero
arXiv, 2025
ViDAR: Video Diffusion‑Aware 4D Reconstruction from Monocular Inputs.
Nazarczuk*, Catley‑Chandar*, Tanay, Zhang, Slabaugh and Pérez‑Pellitero
NeurIPS, 2025
Global Latent Neural Rendering.
Tanay and Maggioni
CVPR, 2024
Adaptive Spiral Layers for Efficient 3D Representation Learning on Meshes.
Babiloni, Maggioni, Tanay, Deng, Leonardis and Zafeiriou
ICCV, 2023
Efficient View Synthesis and 3D-based Multi-Frame Denoising with Multiplane Feature Representations.
Tanay, Leonardis, and Maggioni
CVPR, 2023
Tunable Convolutions with Parametric Multi-Loss Optimization.
Maggioni, Tanay, Babiloni, McDonagh, and Leonardis
CVPR, 2023
Diagnosing and Preventing Instabilities in Recurrent Video Processing.
Tanay, Sootla, Maggioni, Dokania, Torr, Leonardis, and Slabaugh
TPAMI, 2022
FlexHDR: Modelling Alignment and Exposure Uncertainties for Flexible HDR Imaging.
Catley‑Chandar, Tanay, Vandroux, Leonardis, Slabaugh, and Pérez‑Pellitero
TIP, 2022
Batch Normalization is a Cause of Adversarial Vulnerability.
Galloway, Golubeva, Tanay, Moussa and Taylor
arXiv, 2019
Adversarial Training versus Weight Decay.
Galloway, Tanay and Taylor
arXiv, 2018
A Boundary Tilting Persepective on the Phenomenon of Adversarial Examples.
Tanay and Griffin
arXiv, 2016
HeX and the Single Anthill: Playing Games with Aunt Hillary.
Bishop, Nasuto, Tanay, Roesch and Spencer
Fundamental Issues of Artificial Intelligence, 2016
Workshops and Challenges
Sparse Neural Rendering Challenge. (Organizer)
Nazarczuk, Tanay, Catley-Chandar, Shaw, Timofte, PĂ©rez-Pellitero
Advances in Image Manipulation workshop, ECCV, 2024
MPFER‑H: Multiplane Features Encoder‑Renderer for Human Heads. (Ranked #1)
Tanay and Maggioni
To NeRF or not to NeRF: a View Synthesis Challenge for Human Heads, ICCV, 2023
Factorized Dynamic Fully Connected Layers for Neural Networks.
Babiloni, Tanay, Deng, Maggioni, and Zafeiriou.
Workshop on Resource Efficient Deep Learning for Computer Vision, ICCV, 2023
Multi‑scale network with deformable temporal fusion for compressed video restoration.
Song, Huang, Maggioni, Fu, Xiao, Li and Tanay
NTIRE 2021 Challenge on Quality Enhancement of Compressed Video, CVPR, 2021
Learnable Non‑local Image Denoising.
Maggioni, Marras, Tanay, Slabaugh and Yan
NTIRE 2020 Challenge on Real Image Denoising, CVPR, 2020
Built‑in Vulnerabilities to Imperceptible Adversarial Perturbations. (Oral)
Tanay, Andrews and Griffin
BMVA Technical Meeting, 2019
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
