Natalia Neverova

Orcid: 0000-0001-7050-2282

According to our database¹, Natalia Neverova authored at least 48 papers between 2012 and 2024.

Collaborative distances:

Dijkstra number² of four.
Erdős number³ of four.

Timeline

Legend:

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In proceedings

Article

PhD thesis

Dataset

Other

Bibliography

2024

IM-3D: Iterative Multiview Diffusion and Reconstruction for High-Quality 3D Generation.

[BibT_eX]

[DOI]

CoRR, 2024

2023

Mosaic-SDF for 3D Generative Models.

[BibT_eX]

[DOI]

CoRR, 2023

CoTracker: It is Better to Track Together.

[BibT_eX]

[DOI]

CoRR, 2023

Real-time volumetric rendering of dynamic humans.

[BibT_eX]

[DOI]

CoRR, 2023

Self-supervised Correspondence Estimation via Multiview Registration.

[BibT_eX]

[DOI]

Proceedings of the IEEE/CVF Winter Conference on Applications of Computer Vision, 2023

Replay: Multi-modal Multi-view Acted Videos for Casual Holography.

[BibT_eX]

[DOI]

Proceedings of the IEEE/CVF International Conference on Computer Vision, 2023

Common Pets in 3D: Dynamic New-View Synthesis of Real-Life Deformable Categories.

[BibT_eX]

[DOI]

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2023

DynamicStereo: Consistent Dynamic Depth from Stereo Videos.

[BibT_eX]

[DOI]

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2023

Novel-View Acoustic Synthesis.

[BibT_eX]

[DOI]

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2023

2022

Filtered-CoPhy: Unsupervised Learning of Counterfactual Physics in Pixel Space.

[BibT_eX]

[DOI]

Proceedings of the Tenth International Conference on Learning Representations, 2022

BANMo: Building Animatable 3D Neural Models from Many Casual Videos.

[BibT_eX]

[DOI]

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2022

KeyTr: Keypoint Transporter for 3D Reconstruction of Deformable Objects in Videos.

[BibT_eX]

[DOI]

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2022

2021

XCiT: Cross-Covariance Image Transformers.

[BibT_eX]

[DOI]

CoRR, 2021

Training Vision Transformers for Image Retrieval.

[BibT_eX]

[DOI]

CoRR, 2021

XCiT: Cross-Covariance Image Transformers.

[BibT_eX]

[DOI]

Proceedings of the Advances in Neural Information Processing Systems 34: Annual Conference on Neural Information Processing Systems 2021, 2021

Cross-Modal Retrieval Augmentation for Multi-Modal Classification.

[BibT_eX]

[DOI]

Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2021, 2021

Discovering Relationships Between Object Categories via Universal Canonical Maps.

[BibT_eX]

[DOI]

Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2021

NeuroMorph: Unsupervised Shape Interpolation and Correspondence in One Go.

[BibT_eX]

[DOI]

Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2021

Exemplar Fine-Tuning for 3D Human Model Fitting Towards In-the-Wild 3D Human Pose Estimation.

[BibT_eX]

[DOI]

Hanbyul Joo

Natalia Neverova

Andrea Vedaldi

Proceedings of the International Conference on 3D Vision, 2021

2020

Cophy: Counterfactual Learning of Physical Dynamics.

[BibT_eX]

[DOI]

Dataset, January, 2020

Exemplar Fine-Tuning for 3D Human Pose Fitting Towards In-the-Wild 3D Human Pose Estimation.

[BibT_eX]

[DOI]

Hanbyul Joo

Natalia Neverova

Andrea Vedaldi

CoRR, 2020

Continuous Surface Embeddings.

[BibT_eX]

[DOI]

Proceedings of the Advances in Neural Information Processing Systems 33: Annual Conference on Neural Information Processing Systems 2020, 2020

CoPhy: Counterfactual Learning of Physical Dynamics.

[BibT_eX]

[DOI]

Proceedings of the 8th International Conference on Learning Representations, 2020

Transferring Dense Pose to Proximal Animal Classes.

[BibT_eX]

[DOI]

Proceedings of the 2020 IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2020

2019

Correlated Uncertainty for Learning Dense Correspondences from Noisy Labels.

[BibT_eX]

[DOI]

Natalia Neverova

David Novotný

Andrea Vedaldi

Proceedings of the Advances in Neural Information Processing Systems 32: Annual Conference on Neural Information Processing Systems 2019, 2019

C3DPO: Canonical 3D Pose Networks for Non-Rigid Structure From Motion.

[BibT_eX]

[DOI]

Proceedings of the 2019 IEEE/CVF International Conference on Computer Vision, 2019

Slim DensePose: Thrifty Learning From Sparse Annotations and Motion Cues.

[BibT_eX]

[DOI]

Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2019

2018

Dense Pose Transfer.

[BibT_eX]

[DOI]

Natalia Neverova

Riza Alp Güler

Iasonas Kokkinos

Proceedings of the Computer Vision - ECCV 2018, 2018

Object Level Visual Reasoning in Videos.

[BibT_eX]

[DOI]

Proceedings of the Computer Vision - ECCV 2018, 2018

DensePose: Dense Human Pose Estimation in the Wild.

[BibT_eX]

[DOI]

Riza Alp Güler

Natalia Neverova

Iasonas Kokkinos

Proceedings of the 2018 IEEE Conference on Computer Vision and Pattern Recognition, 2018

Mass Displacement Networks.

[BibT_eX]

[DOI]

Natalia Neverova

Iasonas Kokkinos

Proceedings of the British Machine Vision Conference 2018, 2018

2017

Multi-task, multi-domain learning: Application to semantic segmentation and pose regression.

[BibT_eX]

[DOI]

Neurocomputing, 2017

Hand pose estimation through semi-supervised and weakly-supervised learning.

[BibT_eX]

[DOI]

Comput. Vis. Image Underst., 2017

Houdini: Fooling Deep Structured Prediction Models.

[BibT_eX]

[DOI]

CoRR, 2017

Houdini: Fooling Deep Structured Visual and Speech Recognition Models with Adversarial Examples.

[BibT_eX]

[DOI]

Proceedings of the Advances in Neural Information Processing Systems 30: Annual Conference on Neural Information Processing Systems 2017, 2017

Predicting Deeper into the Future of Semantic Segmentation.

[BibT_eX]

[DOI]

Proceedings of the IEEE International Conference on Computer Vision, 2017

Modout: Learning Multi-Modal Architectures by Stochastic Regularization.

[BibT_eX]

[DOI]

Proceedings of the 12th IEEE International Conference on Automatic Face & Gesture Recognition, 2017

2016

Deep Learning for Human Motion Analysis. (Apprentissage automatique de représentations profondes pour l'analyse du mouvement humain).

[BibT_eX]

[DOI]

Natalia Neverova

PhD thesis, 2016

ModDrop: Adaptive Multi-Modal Gesture Recognition.

[BibT_eX]

[DOI]

IEEE Trans. Pattern Anal. Mach. Intell., 2016

Learning Human Identity From Motion Patterns.

[BibT_eX]

[DOI]

IEEE Access, 2016

2015

Hand Pose Estimation through Weakly-Supervised Learning of a Rich Intermediate Representation.

[BibT_eX]

[DOI]

CoRR, 2015

HRI in an ecological dynamic experiment: The GEE corpus based approach for the Emox robot.

[BibT_eX]

[DOI]

Maxence Girard-Rivier

Proceedings of the 2015 IEEE International Workshop on Advanced Robotics and its Social Impacts, 2015

2014

Multi-scale Deep Learning for Gesture Detection and Localization.

[BibT_eX]

[DOI]

Proceedings of the Computer Vision - ECCV 2014 Workshops, 2014

Hand Segmentation with Structured Convolutional Learning.

[BibT_eX]

[DOI]

Proceedings of the Computer Vision - ACCV 2014, 2014

2013

A Multi-scale Approach to Gesture Detection and Recognition.

[BibT_eX]

[DOI]

Proceedings of the 2013 IEEE International Conference on Computer Vision Workshops, 2013

21/2 D Scene Reconstruction of Indoor Scenes from Single RGB-D Images.

[BibT_eX]

[DOI]

Natalia Neverova

Damien Muselet

Alain Trémeau

Proceedings of the Computational Color Imaging - 4th International Workshop, 2013

2012

Edge-based method for sharp region extraction from low depth of field images.

[BibT_eX]

[DOI]

Natalia Neverova

Hubert Konik

Proceedings of the 2012 Visual Communications and Image Processing, 2012

Lighting Estimation in Indoor Environments from Low-Quality Images.

[BibT_eX]

[DOI]

Natalia Neverova

Damien Muselet

Alain Trémeau

Proceedings of the Computer Vision - ECCV 2012. Workshops and Demonstrations, 2012

Natalia Neverova

Timeline

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