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ORCIDNatalia Neverova
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2020 – today
- 2024
[c35]Nikita Karaev, Ignacio Rocco, Benjamin Graham, Natalia Neverova, Andrea Vedaldi, Christian Rupprecht:
CoTracker: It Is Better to Track Together. ECCV (62) 2024: 18-35- [c34]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. ICML 2024 - [i35]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 abs/2402.08682 (2024) - [i34]Raphael Bensadoun, Yanir Kleiman, Idan Azuri, Omri Harosh, Andrea Vedaldi, Natalia Neverova, Oran Gafni:
Meta 3D TextureGen: Fast and Consistent Texture Generation for 3D Objects. CoRR abs/2407.02430 (2024) - [i33]Yawar Siddiqui, Tom Monnier, Filippos Kokkinos, Mahendra Kariya, Yanir Kleiman, Emilien Garreau, Oran Gafni, Natalia Neverova, Andrea Vedaldi, Roman Shapovalov, David Novotný:
Meta 3D AssetGen: Text-to-Mesh Generation with High-Quality Geometry, Texture, and PBR Materials. CoRR abs/2407.02445 (2024) - [i32]Raphael Bensadoun, Tom Monnier, Yanir Kleiman, Filippos Kokkinos, Yawar Siddiqui, Mahendra Kariya, Omri Harosh, Roman Shapovalov, Benjamin Graham, Emilien Garreau, Animesh Karnewar, Ang Cao, Idan Azuri, Iurii Makarov, Eric-Tuan Le, Antoine Toisoul, David Novotný, Oran Gafni, Natalia Neverova, Andrea Vedaldi:
Meta 3D Gen. CoRR abs/2407.02599 (2024) - [i31]Nikita Karaev, Iurii Makarov, Jianyuan Wang, Natalia Neverova, Andrea Vedaldi, Christian Rupprecht:
CoTracker3: Simpler and Better Point Tracking by Pseudo-Labelling Real Videos. CoRR abs/2410.11831 (2024) - 2023
- [c33]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: 4881-4891 - [c32]Changan Chen, Alexander Richard, Roman Shapovalov, Vamsi Krishna Ithapu, Natalia Neverova, Kristen Grauman, Andrea Vedaldi:
Novel-View Acoustic Synthesis. CVPR 2023: 6409-6419 - [c31]Nikita Karaev, Ignacio Rocco, Benjamin Graham, Natalia Neverova, Andrea Vedaldi, Christian Rupprecht:
DynamicStereo: Consistent Dynamic Depth from Stereo Videos. CVPR 2023: 13229-13239 - [c30]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: 20281-20291 - [c29]Mohamed El Banani, Ignacio Rocco, David Novotný, Andrea Vedaldi, Natalia Neverova, Justin Johnson, Benjamin Graham:
Self-supervised Correspondence Estimation via Multiview Registration. WACV 2023: 1216-1225 - [i30]Changan Chen, Alexander Richard, Roman Shapovalov, Vamsi Krishna Ithapu, Natalia Neverova, Kristen Grauman, Andrea Vedaldi:
Novel-View Acoustic Synthesis. CoRR abs/2301.08730 (2023) - [i29]Ignacio Rocco, Iurii Makarov, Filippos Kokkinos, David Novotný, Benjamin Graham, Natalia Neverova, Andrea Vedaldi:
Real-time volumetric rendering of dynamic humans. CoRR abs/2303.11898 (2023) - [i28]Nikita Karaev, Ignacio Rocco, Benjamin Graham, Natalia Neverova, Andrea Vedaldi, Christian Rupprecht:
DynamicStereo: Consistent Dynamic Depth from Stereo Videos. CoRR abs/2305.02296 (2023) - [i27]Nikita Karaev, Ignacio Rocco, Benjamin Graham, Natalia Neverova, Andrea Vedaldi, Christian Rupprecht:
CoTracker: It is Better to Track Together. CoRR abs/2307.07635 (2023) - [i26]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 abs/2307.12067 (2023) - [i25]Lior Yariv, Omri Puny, Natalia Neverova, Oran Gafni, Yaron Lipman:
Mosaic-SDF for 3D Generative Models. CoRR abs/2312.09222 (2023) - 2022
- [c28]Gengshan Yang, Minh Vo, Natalia Neverova, Deva Ramanan
, Andrea Vedaldi, Hanbyul Joo:
BANMo: Building Animatable 3D Neural Models from Many Casual Videos. CVPR 2022: 2853-2863 - [c27]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: 5585-5594 - [c26]Steeven Janny, Fabien Baradel, Natalia Neverova, Madiha Nadri, Greg Mori, Christian Wolf:
Filtered-CoPhy: Unsupervised Learning of Counterfactual Physics in Pixel Space. ICLR 2022 - [i24]Steeven Janny, Fabien Baradel, Natalia Neverova, Madiha Nadri, Greg Mori, Christian Wolf:
Filtered-CoPhy: Unsupervised Learning of Counterfactual Physics in Pixel Space. CoRR abs/2202.00368 (2022) - [i23]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 abs/2211.03889 (2022) - [i22]Mohamed El Banani, Ignacio Rocco, David Novotný, Andrea Vedaldi, Natalia Neverova, Justin Johnson, Benjamin Graham:
Self-Supervised Correspondence Estimation via Multiview Registration. CoRR abs/2212.03236 (2022) - 2021
- [c25]Hanbyul Joo, Natalia Neverova, Andrea Vedaldi:
Exemplar Fine-Tuning for 3D Human Model Fitting Towards In-the-Wild 3D Human Pose Estimation. 3DV 2021: 42-52 - [c24]Natalia Neverova, Artsiom Sanakoyeu, Patrick Labatut, David Novotný, Andrea Vedaldi:
Discovering Relationships Between Object Categories via Universal Canonical Maps. CVPR 2021: 404-413 - [c23]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: 7473-7483 - [c22]Shir Gur, Natalia Neverova, Christopher Stauffer, Ser-Nam Lim, Douwe Kiela, Austin Reiter:
Cross-Modal Retrieval Augmentation for Multi-Modal Classification. EMNLP (Findings) 2021: 111-123 - [c21]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: 20014-20027 - [i21]Alaaeldin El-Nouby, Natalia Neverova, Ivan Laptev, Hervé Jégou:
Training Vision Transformers for Image Retrieval. CoRR abs/2102.05644 (2021) - [i20]Shir Gur, Natalia Neverova, Christopher Stauffer, Ser-Nam Lim, Douwe Kiela, Austin Reiter:
Cross-Modal Retrieval Augmentation for Multi-Modal Classification. CoRR abs/2104.08108 (2021) - [i19]Marvin Eisenberger, David Novotný, Gael Kerchenbaum, Patrick Labatut, Natalia Neverova, Daniel Cremers, Andrea Vedaldi:
NeuroMorph: Unsupervised Shape Interpolation and Correspondence in One Go. CoRR abs/2106.09431 (2021) - [i18]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 abs/2106.09681 (2021) - [i17]Natalia Neverova, Artsiom Sanakoyeu, Patrick Labatut, David Novotný, Andrea Vedaldi:
Discovering Relationships between Object Categories via Universal Canonical Maps. CoRR abs/2106.09758 (2021) - [i16]Gengshan Yang, Minh Vo, Natalia Neverova, Deva Ramanan, Andrea Vedaldi, Hanbyul Joo:
BANMo: Building Animatable 3D Neural Models from Many Casual Videos. CoRR abs/2112.12761 (2021) - 2020
- [c20]Artsiom Sanakoyeu, Vasil Khalidov, Maureen S. McCarthy, Andrea Vedaldi, Natalia Neverova:
Transferring Dense Pose to Proximal Animal Classes. CVPR 2020: 5232-5241 - [c19]Fabien Baradel, Natalia Neverova, Julien Mille, Greg Mori, Christian Wolf:
CoPhy: Counterfactual Learning of Physical Dynamics. ICLR 2020 - [c18]Natalia Neverova, David Novotný, Marc Szafraniec, Vasil Khalidov, Patrick Labatut, Andrea Vedaldi:
Continuous Surface Embeddings. NeurIPS 2020 - [d1]Fabien Baradel, Natalia Neverova, Julien Mille, Greg Mori, Christian Wolf:
Cophy: Counterfactual Learning of Physical Dynamics. IEEE DataPort, 2020
- [i15]Artsiom Sanakoyeu, Vasil Khalidov, Maureen S. McCarthy, Andrea Vedaldi, Natalia Neverova:
Transferring Dense Pose to Proximal Animal Classes. CoRR abs/2003.00080 (2020) - [i14]Hanbyul Joo, Natalia Neverova, Andrea Vedaldi:
Exemplar Fine-Tuning for 3D Human Pose Fitting Towards In-the-Wild 3D Human Pose Estimation. CoRR abs/2004.03686 (2020) - [i13]Natalia Neverova, David Novotný, Vasil Khalidov, Marc Szafraniec, Patrick Labatut, Andrea Vedaldi:
Continuous Surface Embeddings. CoRR abs/2011.12438 (2020)
2010 – 2019
- 2019
- [c17]Natalia Neverova, James Thewlis, Riza Alp Güler, Iasonas Kokkinos, Andrea Vedaldi:
Slim DensePose: Thrifty Learning From Sparse Annotations and Motion Cues. CVPR 2019: 10915-10923 - [c16]David Novotný, Nikhila Ravi, Benjamin Graham, Natalia Neverova, Andrea Vedaldi:
C3DPO: Canonical 3D Pose Networks for Non-Rigid Structure From Motion. ICCV 2019: 7687-7696 - [c15]Natalia Neverova, David Novotný, Andrea Vedaldi:
Correlated Uncertainty for Learning Dense Correspondences from Noisy Labels. NeurIPS 2019: 918-926 - [i12]Natalia Neverova, James Thewlis, Riza Alp Güler, Iasonas Kokkinos, Andrea Vedaldi:
Slim DensePose: Thrifty Learning from Sparse Annotations and Motion Cues. CoRR abs/1906.05706 (2019) - [i11]David Novotný, Nikhila Ravi, Benjamin Graham, Natalia Neverova, Andrea Vedaldi:
C3DPO: Canonical 3D Pose Networks for Non-Rigid Structure From Motion. CoRR abs/1909.02533 (2019) - [i10]Fabien Baradel, Natalia Neverova, Julien Mille, Greg Mori, Christian Wolf:
COPHY: Counterfactual Learning of Physical Dynamics. CoRR abs/1909.12000 (2019) - 2018
- [c14]Natalia Neverova, Iasonas Kokkinos:
Mass Displacement Networks. BMVC 2018: 46 - [c13]Riza Alp Güler, Natalia Neverova, Iasonas Kokkinos:
DensePose: Dense Human Pose Estimation in the Wild. CVPR 2018: 7297-7306 - [c12]Fabien Baradel, Natalia Neverova, Christian Wolf, Julien Mille, Greg Mori:
Object Level Visual Reasoning in Videos. ECCV (13) 2018: 106-122 - [c11]Natalia Neverova, Riza Alp Güler, Iasonas Kokkinos:
Dense Pose Transfer. ECCV (3) 2018: 128-143 - [i9]Riza Alp Güler, Natalia Neverova, Iasonas Kokkinos:
DensePose: Dense Human Pose Estimation In The Wild. CoRR abs/1802.00434 (2018) - [i8]Fabien Baradel, Natalia Neverova, Christian Wolf, Julien Mille, Greg Mori:
Object Level Visual Reasoning in Videos. CoRR abs/1806.06157 (2018) - [i7]Natalia Neverova, Riza Alp Güler, Iasonas Kokkinos:
Dense Pose Transfer. CoRR abs/1809.01995 (2018) - 2017
- [j4]Natalia Neverova, Christian Wolf, Florian Nebout, Graham W. Taylor:
Hand pose estimation through semi-supervised and weakly-supervised learning. Comput. Vis. Image Underst. 164: 56-67 (2017) - [j3]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: 68-80 (2017) - [c10]Fan Li, Natalia Neverova, Christian Wolf, Graham W. Taylor:
Modout: Learning Multi-Modal Architectures by Stochastic Regularization. FG 2017: 422-429 - [c9]Pauline Luc, Natalia Neverova, Camille Couprie, Jakob Verbeek, Yann LeCun:
Predicting Deeper into the Future of Semantic Segmentation. ICCV 2017: 648-657 - [c8]Moustapha Cissé, Yossi Adi, Natalia Neverova, Joseph Keshet:
Houdini: Fooling Deep Structured Visual and Speech Recognition Models with Adversarial Examples. NIPS 2017: 6977-6987 - [i6]Natalia Neverova, Pauline Luc, Camille Couprie, Jakob Verbeek, Yann LeCun:
Predicting Deeper into the Future of Semantic Segmentation. CoRR abs/1703.07684 (2017) - [i5]Moustapha Cissé, Yossi Adi, Natalia Neverova, Joseph Keshet:
Houdini: Fooling Deep Structured Prediction Models. CoRR abs/1707.05373 (2017) - [i4]Natalia Neverova, Iasonas Kokkinos:
Mass Displacement Networks. CoRR abs/1708.03816 (2017) - 2016
- [b1]Natalia Neverova:
Deep Learning for Human Motion Analysis. (Apprentissage automatique de représentations profondes pour l'analyse du mouvement humain). INSA de Lyon, France, 2016 - [j2]Natalia Neverova, Christian Wolf, Griffin Lacey, Lex Fridman, Deepak Chandra, Brandon Barbello, Graham W. Taylor:
Learning Human Identity From Motion Patterns. IEEE Access 4: 1810-1820 (2016) - [j1]Natalia Neverova, Christian Wolf, Graham W. Taylor, Florian Nebout:
ModDrop: Adaptive Multi-Modal Gesture Recognition. IEEE Trans. Pattern Anal. Mach. Intell. 38(8): 1692-1706 (2016) - 2015
- [c7]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: 1-6 - [i3]Natalia Neverova, Christian Wolf, Graham W. Taylor, Florian Nebout:
ModDrop: adaptive multi-modal gesture recognition. CoRR abs/1501.00102 (2015) - [i2]Natalia Neverova, Christian Wolf, Griffin Lacey, Lex Fridman, Deepak Chandra, Brandon Barbello, Graham W. Taylor:
Learning Human Identity from Motion Patterns. CoRR abs/1511.03908 (2015) - [i1]Natalia Neverova, Christian Wolf, Florian Nebout, Graham W. Taylor:
Hand Pose Estimation through Weakly-Supervised Learning of a Rich Intermediate Representation. CoRR abs/1511.06728 (2015) - 2014
- [c6]Natalia Neverova, Christian Wolf, Graham W. Taylor, Florian Nebout:
Hand Segmentation with Structured Convolutional Learning. ACCV (3) 2014: 687-702 - [c5]Natalia Neverova, Christian Wolf, Graham W. Taylor, Florian Nebout:
Multi-scale Deep Learning for Gesture Detection and Localization. ECCV Workshops (1) 2014: 474-490 - 2013
- [c4]Natalia Neverova, Damien Muselet, Alain Trémeau:
21/2 D Scene Reconstruction of Indoor Scenes from Single RGB-D Images. CCIW 2013: 281-295 - [c3]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: 484-491 - 2012
- [c2]Natalia Neverova, Damien Muselet, Alain Trémeau:
Lighting Estimation in Indoor Environments from Low-Quality Images. ECCV Workshops (2) 2012: 380-389 - [c1]Natalia Neverova, Hubert Konik:
Edge-based method for sharp region extraction from low depth of field images. VCIP 2012: 1-6
Coauthor Index
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