Lighting Estimation in Indoor Environments from Low-Quality Images. - Natalia Neverova; Damien Muselet; Alain Trémeau (ECCV Workshops (2), 2012)

Edge-based method for sharp region extraction from low depth of field images. - Natalia Neverova; Hubert Konik (VCIP, 2012)

21/2 D Scene Reconstruction of Indoor Scenes from Single RGB-D Images. - Natalia Neverova; Damien Muselet; Alain Trémeau (CCIW, 2013)

A Multi-scale Approach to Gesture Detection and Recognition. - Natalia Neverova; Christian Wolf 001; Giulio Paci; Giacomo Sommavilla; Graham W. Taylor; Florian Nebout (ICCV Workshops, 2013)

Hand Segmentation with Structured Convolutional Learning. - Natalia Neverova; Christian Wolf 001; Graham W. Taylor; Florian Nebout (ACCV (3), 2014)

Multi-scale Deep Learning for Gesture Detection and Localization. - Natalia Neverova; Christian Wolf 001; Graham W. Taylor; Florian Nebout (ECCV Workshops (1), 2014)

HRI in an ecological dynamic experiment: The GEE corpus based approach for the Emox robot. - Leslie Guillaume; Véronique Aubergé; Romain Magnani; Frédéric Aman; Cecile Cottier; Yuko Sasa; Christian Wolf 001; Florian Nebout; Natalia Neverova; Nicolas Bonnefond; Amaury Nègre; Liliya Tsvetanova; et al. (ARSO, 2015)

Hand Pose Estimation through Weakly-Supervised Learning of a Rich Intermediate Representation. - Natalia Neverova; Christian Wolf 001; Florian Nebout; Graham W. Taylor (CoRR, 2015)

Learning Human Identity From Motion Patterns. - Natalia Neverova; Christian Wolf 001; Griffin Lacey; Lex Fridman 001; Deepak Chandra; Brandon Barbello; Graham W. Taylor (IEEE Access, 2016)

ModDrop: Adaptive Multi-Modal Gesture Recognition. - Natalia Neverova; Christian Wolf 001; Graham W. Taylor; Florian Nebout (IEEE Trans. Pattern Anal. Mach. Intell., 2016)

Deep Learning for Human Motion Analysis. (Apprentissage automatique de représentations profondes pour l'analyse du mouvement humain). - Natalia Neverova (2016)

Modout: Learning Multi-Modal Architectures by Stochastic Regularization. - Fan Li 005; Natalia Neverova; Christian Wolf 001; Graham W. Taylor (FG, 2017)

Predicting Deeper into the Future of Semantic Segmentation. - Pauline Luc; Natalia Neverova; Camille Couprie; Jakob Verbeek; Yann LeCun (ICCV, 2017)

Houdini: Fooling Deep Structured Visual and Speech Recognition Models with Adversarial Examples. - Moustapha Cissé; Yossi Adi; Natalia Neverova; Joseph Keshet (NIPS, 2017)

Houdini: Fooling Deep Structured Prediction Models. - Moustapha Cissé; Yossi Adi; Natalia Neverova; Joseph Keshet (CoRR, 2017)

Hand pose estimation through semi-supervised and weakly-supervised learning. - Natalia Neverova; Christian Wolf 001; Florian Nebout; Graham W. Taylor (Comput. Vis. Image Underst., 2017)

Multi-task, multi-domain learning: Application to semantic segmentation and pose regression. - Damien Fourure; Rémi Emonet; Élisa Fromont; Damien Muselet; Natalia Neverova; Alain Trémeau; Christian Wolf 001 (Neurocomputing, 2017)

Mass Displacement Networks. - Natalia Neverova; Iasonas Kokkinos (BMVC, 2018)

DensePose: Dense Human Pose Estimation in the Wild. - Riza Alp Güler; Natalia Neverova; Iasonas Kokkinos (CVPR, 2018)

Object Level Visual Reasoning in Videos. - Fabien Baradel; Natalia Neverova; Christian Wolf 001; Julien Mille; Greg Mori (ECCV (13), 2018)

Dense Pose Transfer. - Natalia Neverova; Riza Alp Güler; Iasonas Kokkinos (ECCV (3), 2018)

Slim DensePose: Thrifty Learning From Sparse Annotations and Motion Cues. - Natalia Neverova; James Thewlis; Riza Alp Güler; Iasonas Kokkinos; Andrea Vedaldi (CVPR, 2019)

C3DPO: Canonical 3D Pose Networks for Non-Rigid Structure From Motion. - David Novotný; Nikhila Ravi; Benjamin Graham; Natalia Neverova; Andrea Vedaldi (ICCV, 2019)

Correlated Uncertainty for Learning Dense Correspondences from Noisy Labels. - Natalia Neverova; David Novotný; Andrea Vedaldi (NeurIPS, 2019)

Transferring Dense Pose to Proximal Animal Classes. - Artsiom Sanakoyeu; Vasil Khalidov; Maureen S. McCarthy; Andrea Vedaldi; Natalia Neverova (CVPR, 2020)

CoPhy: Counterfactual Learning of Physical Dynamics. - Fabien Baradel; Natalia Neverova; Julien Mille; Greg Mori; Christian Wolf 001 (ICLR, 2020)

Continuous Surface Embeddings. - Natalia Neverova; David Novotný; Marc Szafraniec; Vasil Khalidov; Patrick Labatut; Andrea Vedaldi (NeurIPS, 2020)

Exemplar Fine-Tuning for 3D Human Pose Fitting Towards In-the-Wild 3D Human Pose Estimation. - Hanbyul Joo; Natalia Neverova; Andrea Vedaldi (CoRR, 2020)

Cophy: Counterfactual Learning of Physical Dynamics. - Fabien Baradel; Natalia Neverova; Julien Mille; Greg Mori; Christian Wolf 001 (IEEE DataPort, 2020)

Exemplar Fine-Tuning for 3D Human Model Fitting Towards In-the-Wild 3D Human Pose Estimation. - Hanbyul Joo; Natalia Neverova; Andrea Vedaldi (3DV, 2021)

NeuroMorph: Unsupervised Shape Interpolation and Correspondence in One Go. - Marvin Eisenberger; David Novotný; Gael Kerchenbaum; Patrick Labatut; Natalia Neverova; Daniel Cremers; Andrea Vedaldi (CVPR, 2021)

Discovering Relationships Between Object Categories via Universal Canonical Maps. - Natalia Neverova; Artsiom Sanakoyeu; Patrick Labatut; David Novotný; Andrea Vedaldi (CVPR, 2021)

Cross-Modal Retrieval Augmentation for Multi-Modal Classification. - Shir Gur; Natalia Neverova; Christopher Stauffer; Ser-Nam Lim; Douwe Kiela; Austin Reiter (EMNLP (Findings), 2021)

XCiT: Cross-Covariance Image Transformers. - Alaaeldin Ali; Hugo Touvron; Mathilde Caron; Piotr Bojanowski; Matthijs Douze; Armand Joulin; Ivan Laptev; Natalia Neverova; Gabriel Synnaeve; Jakob Verbeek; Hervé Jégou (NeurIPS, 2021)

Training Vision Transformers for Image Retrieval. - Alaaeldin El-Nouby; Natalia Neverova; Ivan Laptev; Hervé Jégou (CoRR, 2021)

XCiT: Cross-Covariance Image Transformers. - Alaaeldin El-Nouby; Hugo Touvron; Mathilde Caron; Piotr Bojanowski; Matthijs Douze; Armand Joulin; Ivan Laptev; Natalia Neverova; Gabriel Synnaeve; Jakob Verbeek; Hervé Jégou (CoRR, 2021)

KeyTr: Keypoint Transporter for 3D Reconstruction of Deformable Objects in Videos. - David Novotný; Ignacio Rocco; Samarth Sinha; Alexandre Carlier; Gael Kerchenbaum; Roman Shapovalov; Nikita Smetanin; Natalia Neverova; Benjamin Graham; Andrea Vedaldi (CVPR, 2022)

BANMo: Building Animatable 3D Neural Models from Many Casual Videos. - Gengshan Yang; Minh Vo; Natalia Neverova; Deva Ramanan; Andrea Vedaldi; Hanbyul Joo (CVPR, 2022)

Filtered-CoPhy: Unsupervised Learning of Counterfactual Physics in Pixel Space. - Steeven Janny; Fabien Baradel; Natalia Neverova; Madiha Nadri; Greg Mori; Christian Wolf 001 (ICLR, 2022)

Novel-View Acoustic Synthesis. - Changan Chen; Alexander Richard; Roman Shapovalov; Vamsi Krishna Ithapu; Natalia Neverova; Kristen Grauman; Andrea Vedaldi (CVPR, 2023)

DynamicStereo: Consistent Dynamic Depth from Stereo Videos. - Nikita Karaev; Ignacio Rocco; Benjamin Graham; Natalia Neverova; Andrea Vedaldi; Christian Rupprecht 001 (CVPR, 2023)

Common Pets in 3D: Dynamic New-View Synthesis of Real-Life Deformable Categories. - Samarth Sinha; Roman Shapovalov; Jeremy Reizenstein; Ignacio Rocco; Natalia Neverova; Andrea Vedaldi; David Novotný (CVPR, 2023)

Replay: Multi-modal Multi-view Acted Videos for Casual Holography. - Roman Shapovalov; Yanir Kleiman; Ignacio Rocco; David Novotný; Andrea Vedaldi; Changan Chen; Filippos Kokkinos; Benjamin Graham; Natalia Neverova (ICCV, 2023)

Self-supervised Correspondence Estimation via Multiview Registration. - Mohamed El Banani; Ignacio Rocco; David Novotný; Andrea Vedaldi; Natalia Neverova; Justin Johnson 001; Benjamin Graham (WACV, 2023)

Real-time volumetric rendering of dynamic humans. - Ignacio Rocco; Iurii Makarov; Filippos Kokkinos; David Novotný; Benjamin Graham; Natalia Neverova; Andrea Vedaldi (CoRR, 2023)

Mosaic-SDF for 3D Generative Models. - Lior Yariv; Omri Puny; Natalia Neverova; Oran Gafni; Yaron Lipman (CoRR, 2023)

CoTracker: It Is Better to Track Together. - Nikita Karaev; Ignacio Rocco; Benjamin Graham; Natalia Neverova; Andrea Vedaldi; Christian Rupprecht 001 (ECCV (62), 2024)

IM-3D: Iterative Multiview Diffusion and Reconstruction for High-Quality 3D Generation. - Luke Melas-Kyriazi; Iro Laina; Christian Rupprecht 001; Natalia Neverova; Andrea Vedaldi; Oran Gafni; Filippos Kokkinos (ICML, 2024)

Meta 3D AssetGen: Text-to-Mesh Generation with High-Quality Geometry, Texture, and PBR Materials. - Yawar Siddiqui; Tom Monnier; Filippos Kokkinos; Mahendra Kariya; Yanir Kleiman; Emilien Garreau; Oran Gafni; Natalia Neverova; Andrea Vedaldi; Roman Shapovalov; David Novotný (NeurIPS, 2024)

Meta 3D TextureGen: Fast and Consistent Texture Generation for 3D Objects. - Raphael Bensadoun; Yanir Kleiman; Idan Azuri; Omri Harosh; Andrea Vedaldi; Natalia Neverova; Oran Gafni (CoRR, 2024)

Meta 3D Gen. - Raphael Bensadoun; Tom Monnier; Yanir Kleiman; Filippos Kokkinos; Yawar Siddiqui; Mahendra Kariya; Omri Harosh; Roman Shapovalov; Benjamin Graham; Emilien Garreau; Animesh Karnewar; Ang Cao; et al. (CoRR, 2024)

CoTracker3: Simpler and Better Point Tracking by Pseudo-Labelling Real Videos. - Nikita Karaev; Iurii Makarov; Jianyuan Wang; Natalia Neverova; Andrea Vedaldi; Christian Rupprecht 001 (CoRR, 2024)

UnCommon Objects in 3D. - Xingchen Liu; Piyush Tayal; Jianyuan Wang; Jesus Zarzar; Tom Monnier; Konstantinos Tertikas; Jiali Duan; Antoine Toisoul; Jason Y. Zhang 001; Natalia Neverova; Andrea Vedaldi; Roman Shapovalov; et al. (CVPR, 2025)