Dr. Daniyar Turmukhambetov
- Staff Research Scientist, Niantic Spatial (London) X / Twitter LindedIn GitHub Scholar
I'm Staff Researcher Scientist at Niantic Spatial in London, UK, working on machine learning and computer vision. I hold a PhD in computer vision and I have 16 years of research experience, 8 years of industry work experience, track record of mentoring, publishing and shipping.
Niantic Spatial is a spin-off of Niantic Labs, creators of Pokemon Go, Monster Hunter Now, Ingress and Peridot. I work in London-based RnD team, where I build cutting edge neural networks and algorithms for Augmented Reality and Large Geospatial Models. I've trained and shipped production-grade neural networks to millions of players of global hits like Pokémon GO and Peridot. I've joined Niantic through acquisition of Matrix Mill, which I founded together with Dr. Gabriel Brostow and Dr. Michael Firman.
Previously, I was ...PUBLICATIONS
| project webpage |
Complete Gaussian Splats from a Single Image with Denoising
Diffusion Models (nianticspatial.github.io/completesplat/) Ziwei Liao, Mohamed Sayed, Steven L. Waslander, Sara Vicente, Daniyar Turmukhambetov, Michael Firman arXiv 2025 |
| project webpage |
MvsAnywhere: Zero-shot Multi-view Stereo (nianticlabs.github.io/mvsanywhere/) Sergio Izquierdo, Mohamed Sayed, Michael Firman, Guillermo Garcia-Hernando, Daniyar Turmukhambetov, Javier Civera, Oisin Mac Aodha, Gabriel Brostow, Jamie Watson CVPR 2025 |
| project webpage |
Scene Coordinate Reconstruction: Posing of Image Collections via
Incremental Learning of a Relocalizer (nianticlabs.github.io/acezero) Eric Brachmann, Jamie Wynn, Shuai Chen, Tommaso Cavallari, Áron Monszpart, Daniyar Turmukhambetov, Victor Adrian Prisacariu ECCV 2024 |
| project webpage |
DiffusioNeRF: Regularizing Neural Radiance Fields with Denoising
Diffusion Models (github.com/nianticlabs/diffusionerf) Jamie Wynn, Daniyar Turmukhambetov CVPR 2023 |
| project webpage |
Two-view Geometry Scoring without Correspondences (github.com/nianticlabs/scoring-without-correspondences) Axel Barroso-Laguna, Eric Brachmann, Victor Adrian Prisacariu, Gabriel J Brostow, Daniyar Turmukhambetov CVPR 2023 |
| project webpage |
Map-free Visual Relocalization: Metric Pose Relative to a Single
Image (github.com/nianticlabs/map-free-reloc) Eduardo Arnold, Jamie Wynn, Sara Vicente, Guillermo Garcia-Hernando, Aron Monszpart, Victor Prisacariu, Daniyar Turmukhambetov, Eric Brachmann ECCV 2022 |
| project webpage |
Shazam for Bats: Internet of Things for continuous real‐time
biodiversity monitoring (doi/pdfdirect/10.1049/smc2.12016) Sarah Gallacher, Duncan Wilson, Alison Fairbrass, Daniyar Turmukhambetov, Michael Firman, Stefan Kreitmayer, Oisin Mac Aodha, Gabriel Brostow, Kate Jones IET Smart Cities 2021 |
| project webpage |
Single Image Depth Prediction with Wavelet
Decomposition (github.com/nianticlabs/wavelet-monodepth) Michaël Ramamonjisoa, Michael Firman, Jamie Watson, Vincent Lepetit and Daniyar Turmukhambetov CVPR 2021 |
| project webpage |
Learning to Predict Repeatability of Interest Points (github.com/nianticlabs/time-repeatability) Anh-Dzung Doan, Daniyar Turmukhambetov, Yasir Latif, Tat-Jun Chin and Soohyun Bae ICRA 2021 |
| project webpage |
Learning Stereo from Single Images (github.com/nianticlabs/stereo-from-mono) Jamie Watson, Oisin Mac Aodha, Daniyar Turmukhambetov, Gabriel J. Brostow and Michael Firman ECCV 2020 |
| project webpage |
Single-Image Depth Prediction Makes Features Matching
Easier (github.com/nianticlabs/rectified-features) Carl Toft, Daniyar Turmukhambetov, Tosten Sattler, Fredrik Kahl and Gabriel J. Brostow ECCV 2020 |
| project webpage |
Predicting Visual Overlap of Images Through Interpretable
Non-Metric
Box Embeddings (github.com/nianticlabs/image-box-overlap) Anita Rau, Guillermo Garcia-Hernando, Danail Stoyanov, Gabriel J. Brostow and Daniyar Turmukhambetov ECCV 2020 |
| arxiv |
Image Stylization for Robust Features (arxiv.org/abs/2008.06959) Iaroslav Melekhov, Gabriel J. Brostow, Juho Kannala, Daniyar Turmukhambetov arXiv 2020 |
| project webpage |
Self-Supervised Monocular Depth Hints (github.com/nianticlabs/depth-hints) Jamie Watson, Michael Firman, Gabriel J. Brostow and Daniyar Turmukhambetov ICCV 2019 |
| preprint |
HILC: Domain-Independent PbD System Via Computer Vision and
Follow-Up
Questions (discovery.ucl.ac.uk/10075771/) Thanapong Intharah, Daniyar Turmukhambetov and Gabriel J. Brostow ACM TiiS 2019 |
| project webpage |
Interpretable Transformations with Encoder-Decoder
Networks (visual.cs.ucl.ac.uk/pubs/interpTransform/) Daniel E. Worrall, Stephan J. Garbin, Daniyar Turmukhambetov and Gabriel J. Brostow ICCV 2017 |
| project webpage |
Harmonic Networks: Deep Translation and Rotation
Equivariance (visual.cs.ucl.ac.uk/pubs/harmonicNets/) Daniel E. Worrall, Stephan J. Garbin, Daniyar Turmukhambetov and Gabriel J. Brostow CVPR 2017 |
| project webpage |
Help, It Looks Confusing: GUI Task Automation Through Demonstration
and
Follow-up Questions (visual.cs.ucl.ac.uk/pubs/HILC/) Thanapong Intharah, Daniyar Turmukhambetov and Gabriel J. Brostow ACM IUI 2017 (Best Student Paper Honorable Mention) |
| UCL Thesis |
Synthesizing and Editing Photo-realistic Visual
Objects (discovery.ucl.ac.uk/1531112/) Daniyar Turmukhambetov PhD Thesis, University College London 2016 |
| project webpage |
Modeling Object Appearance using Context-Conditioned Component
Analysis (visual.cs.ucl.ac.uk/pubs/ccca/) Daniyar Turmukhambetov, Neill D.F. Campbell, Simon J.D. Prince and Jan Kautz CVPR 2015 |
| project webpage |
Interactive Sketch-Driven Image Synthesis (visual.cs.ucl.ac.uk/pubs/isdis/) Daniyar Turmukhambetov, Neill D.F. Campbell, Dan B Goldman and Jan Kautz Computer Graphics Forum (CGF) 2015 |