Natalia Neverova

ORCID

Publication Activity (10 Years)

Years Active: 2012-2024
Publications (10 Years): 62

Top Venues

INSA de Lyon, France (PHD)

Education History

INSA de Lyon, France

PHD

Publications

Luke Melas-Kyriazi, Iro Laina, Christian Rupprecht, Natalia Neverova, Andrea Vedaldi, Oran Gafni, Filippos Kokkinos
IM-3D: Iterative Multiview Diffusion and Reconstruction for High-Quality 3D Generation. CoRR (2024)
Ignacio Rocco, Iurii Makarov, Filippos Kokkinos, David Novotný, Benjamin Graham, Natalia Neverova, Andrea Vedaldi
Real-time volumetric rendering of dynamic humans. CoRR (2023)
Nikita Karaev, Ignacio Rocco, Benjamin Graham, Natalia Neverova, Andrea Vedaldi, Christian Rupprecht
DynamicStereo: Consistent Dynamic Depth from Stereo Videos. CVPR (2023)
Changan Chen, Alexander Richard, Roman Shapovalov, Vamsi Krishna Ithapu, Natalia Neverova, Kristen Grauman, Andrea Vedaldi
Novel-View Acoustic Synthesis. CVPR (2023)
Roman Shapovalov, Yanir Kleiman, Ignacio Rocco, David Novotný, Andrea Vedaldi, Changan Chen, Filippos Kokkinos, Benjamin Graham, Natalia Neverova
Replay: Multi-modal Multi-view Acted Videos for Casual Holography. ICCV (2023)
Mohamed El Banani, Ignacio Rocco, David Novotný, Andrea Vedaldi, Natalia Neverova, Justin Johnson, Benjamin Graham
Self-supervised Correspondence Estimation via Multiview Registration. WACV (2023)
Samarth Sinha, Roman Shapovalov, Jeremy Reizenstein, Ignacio Rocco, Natalia Neverova, Andrea Vedaldi, David Novotný
Common Pets in 3D: Dynamic New-View Synthesis of Real-Life Deformable Categories. CVPR (2023)
Changan Chen, Alexander Richard, Roman Shapovalov, Vamsi Krishna Ithapu, Natalia Neverova, Kristen Grauman, Andrea Vedaldi
Novel-View Acoustic Synthesis. CoRR (2023)
Lior Yariv, Omri Puny, Natalia Neverova, Oran Gafni, Yaron Lipman
Mosaic-SDF for 3D Generative Models. CoRR (2023)
Nikita Karaev, Ignacio Rocco, Benjamin Graham, Natalia Neverova, Andrea Vedaldi, Christian Rupprecht
DynamicStereo: Consistent Dynamic Depth from Stereo Videos. CoRR (2023)
Nikita Karaev, Ignacio Rocco, Benjamin Graham, Natalia Neverova, Andrea Vedaldi, Christian Rupprecht
CoTracker: It is Better to Track Together. CoRR (2023)
Roman Shapovalov, Yanir Kleiman, Ignacio Rocco, David Novotný, Andrea Vedaldi, Changan Chen, Filippos Kokkinos, Benjamin Graham, Natalia Neverova
Replay: Multi-modal Multi-view Acted Videos for Casual Holography. CoRR (2023)
Gengshan Yang, Minh Vo, Natalia Neverova, Deva Ramanan, Andrea Vedaldi, Hanbyul Joo
BANMo: Building Animatable 3D Neural Models from Many Casual Videos. CVPR (2022)
Steeven Janny, Fabien Baradel, Natalia Neverova, Madiha Nadri, Greg Mori, Christian Wolf
Filtered-CoPhy: Unsupervised Learning of Counterfactual Physics in Pixel Space. ICLR (2022)
Steeven Janny, Fabien Baradel, Natalia Neverova, Madiha Nadri, Greg Mori, Christian Wolf
Filtered-CoPhy: Unsupervised Learning of Counterfactual Physics in Pixel Space. CoRR (2022)
Samarth Sinha, Roman Shapovalov, Jeremy Reizenstein, Ignacio Rocco, Natalia Neverova, Andrea Vedaldi, David Novotný
Common Pets in 3D: Dynamic New-View Synthesis of Real-Life Deformable Categories. CoRR (2022)
David Novotný, Ignacio Rocco, Samarth Sinha, Alexandre Carlier, Gael Kerchenbaum, Roman Shapovalov, Nikita Smetanin, Natalia Neverova, Benjamin Graham, Andrea Vedaldi
KeyTr: Keypoint Transporter for 3D Reconstruction of Deformable Objects in Videos. CVPR (2022)
Mohamed El Banani, Ignacio Rocco, David Novotný, Andrea Vedaldi, Natalia Neverova, Justin Johnson, Benjamin Graham
Self-Supervised Correspondence Estimation via Multiview Registration. CoRR (2022)
Alaaeldin Ali, Hugo Touvron, Mathilde Caron, Piotr Bojanowski, Matthijs Douze, Armand Joulin, Ivan Laptev, Natalia Neverova, Gabriel Synnaeve, Jakob Verbeek, Hervé Jégou
XCiT: Cross-Covariance Image Transformers. NeurIPS (2021)
Natalia Neverova, Artsiom Sanakoyeu, Patrick Labatut, David Novotný, Andrea Vedaldi
Discovering Relationships between Object Categories via Universal Canonical Maps. CoRR (2021)
Alaaeldin El-Nouby, Natalia Neverova, Ivan Laptev, Hervé Jégou
Training Vision Transformers for Image Retrieval. CoRR (2021)
Gengshan Yang, Minh Vo, Natalia Neverova, Deva Ramanan, Andrea Vedaldi, Hanbyul Joo
BANMo: Building Animatable 3D Neural Models from Many Casual Videos. CoRR (2021)
Marvin Eisenberger, David Novotný, Gael Kerchenbaum, Patrick Labatut, Natalia Neverova, Daniel Cremers, Andrea Vedaldi
NeuroMorph: Unsupervised Shape Interpolation and Correspondence in One Go. CVPR (2021)
Shir Gur, Natalia Neverova, Chris Stauffer, Ser-Nam Lim, Douwe Kiela, Austin Reiter
Cross-Modal Retrieval Augmentation for Multi-Modal Classification. EMNLP (Findings) (2021)
Alaaeldin El-Nouby, Hugo Touvron, Mathilde Caron, Piotr Bojanowski, Matthijs Douze, Armand Joulin, Ivan Laptev, Natalia Neverova, Gabriel Synnaeve, Jakob Verbeek, Hervé Jégou
XCiT: Cross-Covariance Image Transformers. CoRR (2021)
Shir Gur, Natalia Neverova, Chris Stauffer, Ser-Nam Lim, Douwe Kiela, Austin Reiter
Cross-Modal Retrieval Augmentation for Multi-Modal Classification. CoRR (2021)
Natalia Neverova, Artsiom Sanakoyeu, Patrick Labatut, David Novotný, Andrea Vedaldi
Discovering Relationships Between Object Categories via Universal Canonical Maps. CVPR (2021)
Hanbyul Joo, Natalia Neverova, Andrea Vedaldi
Exemplar Fine-Tuning for 3D Human Model Fitting Towards In-the-Wild 3D Human Pose Estimation. 3DV (2021)
Marvin Eisenberger, David Novotný, Gael Kerchenbaum, Patrick Labatut, Natalia Neverova, Daniel Cremers, Andrea Vedaldi
NeuroMorph: Unsupervised Shape Interpolation and Correspondence in One Go. CoRR (2021)
Artsiom Sanakoyeu, Vasil Khalidov, Maureen S. McCarthy, Andrea Vedaldi, Natalia Neverova
Transferring Dense Pose to Proximal Animal Classes. CoRR (2020)
Natalia Neverova, David Novotný, Vasil Khalidov, Marc Szafraniec, Patrick Labatut, Andrea Vedaldi
Continuous Surface Embeddings. CoRR (2020)
Natalia Neverova, David Novotný, Marc Szafraniec, Vasil Khalidov, Patrick Labatut, Andrea Vedaldi
Continuous Surface Embeddings. NeurIPS (2020)
Fabien Baradel, Natalia Neverova, Julien Mille, Greg Mori, Christian Wolf
CoPhy: Counterfactual Learning of Physical Dynamics. ICLR (2020)
Artsiom Sanakoyeu, Vasil Khalidov, Maureen S. McCarthy, Andrea Vedaldi, Natalia Neverova
Transferring Dense Pose to Proximal Animal Classes. CVPR (2020)
Hanbyul Joo, Natalia Neverova, Andrea Vedaldi
Exemplar Fine-Tuning for 3D Human Pose Fitting Towards In-the-Wild 3D Human Pose Estimation. CoRR (2020)
Natalia Neverova, James Thewlis, Riza Alp Güler, Iasonas Kokkinos, Andrea Vedaldi
Slim DensePose: Thrifty Learning from Sparse Annotations and Motion Cues. CoRR (2019)
Natalia Neverova, David Novotný, Andrea Vedaldi
Correlated Uncertainty for Learning Dense Correspondences from Noisy Labels. NeurIPS (2019)
Natalia Neverova, James Thewlis, Riza Alp Güler, Iasonas Kokkinos, Andrea Vedaldi
Slim DensePose: Thrifty Learning From Sparse Annotations and Motion Cues. CVPR (2019)
David Novotný, Nikhila Ravi, Benjamin Graham, Natalia Neverova, Andrea Vedaldi
C3DPO: Canonical 3D Pose Networks for Non-Rigid Structure From Motion. ICCV (2019)
David Novotný, Nikhila Ravi, Benjamin Graham, Natalia Neverova, Andrea Vedaldi
C3DPO: Canonical 3D Pose Networks for Non-Rigid Structure From Motion. CoRR (2019)
Fabien Baradel, Natalia Neverova, Julien Mille, Greg Mori, Christian Wolf
COPHY: Counterfactual Learning of Physical Dynamics. CoRR (2019)
Riza Alp Güler, Natalia Neverova, Iasonas Kokkinos
DensePose: Dense Human Pose Estimation in the Wild. CVPR (2018)
Fabien Baradel, Natalia Neverova, Christian Wolf, Julien Mille, Greg Mori
Object Level Visual Reasoning in Videos. CoRR (2018)
Natalia Neverova, Riza Alp Güler, Iasonas Kokkinos
Dense Pose Transfer. CoRR (2018)
Natalia Neverova, Riza Alp Güler, Iasonas Kokkinos
Dense Pose Transfer. ECCV (3) (2018)
Riza Alp Güler, Natalia Neverova, Iasonas Kokkinos
DensePose: Dense Human Pose Estimation In The Wild. CoRR (2018)
Natalia Neverova, Iasonas Kokkinos
Mass Displacement Networks. BMVC (2018)
Fabien Baradel, Natalia Neverova, Christian Wolf, Julien Mille, Greg Mori
Object Level Visual Reasoning in Videos. ECCV (13) (2018)
Natalia Neverova, Iasonas Kokkinos
Mass Displacement Networks. CoRR (2017)
Fan Li, Natalia Neverova, Christian Wolf, Graham W. Taylor
Modout: Learning Multi-Modal Architectures by Stochastic Regularization. FG (2017)
Natalia Neverova, Pauline Luc, Camille Couprie, Jakob J. Verbeek, Yann LeCun
Predicting Deeper into the Future of Semantic Segmentation. CoRR (2017)
Moustapha Cissé, Yossi Adi, Natalia Neverova, Joseph Keshet
Houdini: Fooling Deep Structured Prediction Models. CoRR (2017)
Pauline Luc, Natalia Neverova, Camille Couprie, Jakob Verbeek, Yann LeCun
Predicting Deeper into the Future of Semantic Segmentation. ICCV (2017)
Natalia Neverova, Christian Wolf, Florian Nebout, Graham W. Taylor
Hand pose estimation through semi-supervised and weakly-supervised learning. Comput. Vis. Image Underst. 164 (2017)
Moustapha Cissé, Yossi Adi, Natalia Neverova, Joseph Keshet
Houdini: Fooling Deep Structured Visual and Speech Recognition Models with Adversarial Examples. NIPS (2017)
Damien Fourure, Rémi Emonet, Élisa Fromont, Damien Muselet, Natalia Neverova, Alain Trémeau, Christian Wolf
Multi-task, multi-domain learning: Application to semantic segmentation and pose regression. Neurocomputing 251 (2017)
Natalia Neverova, Christian Wolf, Griffin Lacey, Lex Fridman, Deepak Chandra, Brandon Barbello, Graham W. Taylor
Learning Human Identity From Motion Patterns. IEEE Access 4 (2016)
Natalia Neverova, Christian Wolf, Graham W. Taylor, Florian Nebout
ModDrop: Adaptive Multi-Modal Gesture Recognition. IEEE Trans. Pattern Anal. Mach. Intell. 38 (8) (2016)
Natalia Neverova, Christian Wolf, Florian Nebout, Graham W. Taylor
Hand Pose Estimation through Weakly-Supervised Learning of a Rich Intermediate Representation. CoRR (2015)
Natalia Neverova, Christian Wolf, Graham W. Taylor, Florian Nebout
ModDrop: adaptive multi-modal gesture recognition. CoRR (2015)
Leslie Guillaume, Véronique Aubergé, Romain Magnani, Frédéric Aman, Cecile Cottier, Yuko Sasa, Christian Wolf, Florian Nebout, Natalia Neverova, Nicolas Bonnefond, Amaury Nègre, Liliya Tsvetanova, Maxence Girard-Rivier
HRI in an ecological dynamic experiment: The GEE corpus based approach for the Emox robot. ARSO (2015)
Natalia Neverova, Christian Wolf, Griffin Lacey, Lex Fridman, Deepak Chandra, Brandon Barbello, Graham W. Taylor
Learning Human Identity from Motion Patterns. CoRR (2015)
Natalia Neverova, Christian Wolf, Graham W. Taylor, Florian Nebout
Hand Segmentation with Structured Convolutional Learning. ACCV (3) (2014)
Natalia Neverova, Christian Wolf, Graham W. Taylor, Florian Nebout
Multi-scale Deep Learning for Gesture Detection and Localization. ECCV Workshops (1) (2014)
Natalia Neverova, Christian Wolf, Giulio Paci, Giacomo Sommavilla, Graham W. Taylor, Florian Nebout
A Multi-scale Approach to Gesture Detection and Recognition. ICCV Workshops (2013)
Natalia Neverova, Damien Muselet, Alain Trémeau
21/2 D Scene Reconstruction of Indoor Scenes from Single RGB-D Images. CCIW (2013)
Natalia Neverova, Damien Muselet, Alain Trémeau
Lighting Estimation in Indoor Environments from Low-Quality Images. ECCV Workshops (2) (2012)
Natalia Neverova, Hubert Konik
Edge-based method for sharp region extraction from low depth of field images. VCIP (2012)

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Publication Activity (10 Years)

Top Topics

Top Venues

Natalia Neverova