Understanding the Fisher Vector: a multimodal part model. - David Novotný; Diane Larlus; Florent Perronnin; Andrea Vedaldi (CoRR, 2015)

I Have Seen Enough: Transferring Parts Across Categories. - David Novotný; Diane Larlus; Andrea Vedaldi (BMVC, 2016)

Learning the Structure of Objects from Web Supervision. - David Novotný; Diane Larlus; Andrea Vedaldi (ECCV Workshops (3), 2016)

Learning the semantic structure of objects from Web supervision. - David Novotný; Diane Larlus; Andrea Vedaldi (CoRR, 2016)

AnchorNet: A Weakly Supervised Network to Learn Geometry-Sensitive Features for Semantic Matching. - David Novotný; Diane Larlus; Andrea Vedaldi (CVPR, 2017)

Learning 3D Object Categories by Looking Around Them. - David Novotný; Diane Larlus; Andrea Vedaldi (ICCV, 2017)

Generalizing Semantic Part Detectors Across Domains. - David Novotný; Diane Larlus; Andrea Vedaldi (Domain Adaptation in Computer Vision Applications, 2017)

Self-Supervised Learning of Geometrically Stable Features Through Probabilistic Introspection. - David Novotný; Samuel Albanie; Diane Larlus; Andrea Vedaldi (CVPR, 2018)

Semi-convolutional Operators for Instance Segmentation. - David Novotný; Samuel Albanie; Diane Larlus; Andrea Vedaldi (ECCV (1), 2018)

Learning the structure of object categories from incomplete supervision. - David Novotný (2018)

1 pT-noise fluxgate magnetometer design and its performance in geomagnetic measurements. - Michal Janosek; Mattia Butta; Michal Dressler; Elda Saunderson; David Novotný; Coenrad J. Fourie (I2MTC, 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)

PerspectiveNet: A Scene-consistent Image Generator for New View Synthesis in Real Indoor Environments. - David Novotný; Benjamin Graham; Jeremy Reizenstein (NeurIPS, 2019)

RidgeSfM: Structure from Motion via Robust Pairwise Matching Under Depth Uncertainty. - Benjamin Graham; David Novotný (3DV, 2020)

AMR Magnetometer With Digital Feedback for Space Applications. - David Novotný; Vojtech Petrucha; Michal Dressler; Antonín Platil (I2MTC, 2020)

High Dynamic Range Digital Fluxgate Magnetometer. - David Novotný; Vojtech Petrucha (IEEE SENSORS, 2020)

3D Multi-bodies: Fitting Sets of Plausible 3D Human Models to Ambiguous Image Data. - Benjamin Biggs; David Novotný; Sébastien Ehrhardt; Hanbyul Joo; Benjamin Graham; Andrea Vedaldi (NeurIPS, 2020)

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

Canonical 3D Deformer Maps: Unifying parametric and non-parametric methods for dense weakly-supervised category reconstruction. - David Novotný; Roman Shapovalov; Andrea Vedaldi (NeurIPS, 2020)

Accelerating 3D Deep Learning with PyTorch3D. - Nikhila Ravi; Jeremy Reizenstein; David Novotný; Taylor Gordon; Wan-Yen Lo; Justin Johnson 001; Georgia Gkioxari (CoRR, 2020)

Capturing the Geometry of Object Categories from Video Supervision. - David Novotný; Diane Larlus; Andrea Vedaldi (IEEE Trans. Pattern Anal. Mach. Intell., 2020)

1-pT Noise Fluxgate Magnetometer for Geomagnetic Measurements and Unshielded Magnetocardiography. - Michal Janosek; Mattia Butta; Michal Dressler; Elda Saunderson; David Novotný; Coenrad J. Fourie (IEEE Trans. Instrum. Meas., 2020)

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)

Unsupervised Learning of 3D Object Categories From Videos in the Wild. - Philipp Henzler; Jeremy Reizenstein; Patrick Labatut; Roman Shapovalov; Tobias Ritschel 001; Andrea Vedaldi; David Novotný (CVPR, 2021)

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

Common Objects in 3D: Large-Scale Learning and Evaluation of Real-life 3D Category Reconstruction. - Jeremy Reizenstein; Roman Shapovalov; Philipp Henzler; Luca Sbordone; Patrick Labatut; David Novotný (ICCV, 2021)

DensePose 3D: Lifting Canonical Surface Maps of Articulated Objects to the Third Dimension. - Roman Shapovalov; David Novotný; Benjamin Graham; Patrick Labatut; Andrea Vedaldi (ICCV, 2021)

Low frequency noise investigation of pT-level magnetic sensors by cross-spectral method. - Michal Janosek; David Novotný; Michal Dressler; Elda Saunderson (IEEE SENSORS, 2021)

Augmenting Implicit Neural Shape Representations with Explicit Deformation Fields. - Matan Atzmon; David Novotný; Andrea Vedaldi; Yaron Lipman (CoRR, 2021)

Characterization of a Digital AMR Magnetometer for Space Applications. - David Novotný; Vojtech Petrucha; Michal Dressler; Antonín Platil (IEEE Trans. Instrum. Meas., 2021)

Nerfels: Renderable Neural Codes for Improved Camera Pose Estimation. - Gil Avraham; Julian Straub; Tianwei Shen; Tsun-Yi Yang; Hugo Germain; Chris Sweeney; Vasileios Balntas; David Novotný; Daniel DeTone; Richard A. Newcombe (CVPR Workshops, 2022)

Feature Query Networks: Neural Surface Description for Camera Pose Refinement. - Hugo Germain; Daniel DeTone; Geoffrey Pascoe; Tanner Schmidt; David Novotný; Richard A. Newcombe; Chris Sweeney; Richard Szeliski; Vasileios Balntas (CVPR Workshops, 2022)

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)

iSDF: Real-Time Neural Signed Distance Fields for Robot Perception. - Joseph Ortiz; Alexander Clegg; Jing Dong 002; Edgar Sucar; David Novotný; Michael Zollhöfer; Mustafa Mukadam (Robotics: Science and Systems, 2022)

HOLODIFFUSION: Training a 3D Diffusion Model Using 2D Images. - Animesh Karnewar; Andrea Vedaldi; David Novotný; Niloy J. Mitra (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)

HoloFusion: Towards Photo-realistic 3D Generative Modeling. - Animesh Karnewar; Niloy J. Mitra; Andrea Vedaldi; David Novotný (ICCV, 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)

PoseDiffusion: Solving Pose Estimation via Diffusion-aided Bundle Adjustment. - Jianyuan Wang; Christian Rupprecht 001; David Novotný (ICCV, 2023)

Magnetometry Package for L VICE2 Mission: Triaxial Fluxgate and AMR Magnetometer for Scientific Data Production Near Moon. - Vojtech Petrucha; David Novotný; Kajctán Sobísek (SENSORS, 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)

Visual Geometry Grounded Deep Structure From Motion. - Jianyuan Wang; Nikita Karaev; Christian Rupprecht 001; David Novotný (CoRR, 2023)

GOEnFusion: Gradient Origin Encodings for 3D Forward Diffusion Models. - Animesh Karnewar; Andrea Vedaldi; Niloy J. Mitra; David Novotný (CoRR, 2023)

ViewDiff: 3D-Consistent Image Generation with Text-to-Image Models. - Lukas Höllein; Aljaz Bozic; Norman Müller; David Novotný; Hung-Yu Tseng; Christian Richardt; Michael Zollhöfer; Matthias Nießner (CVPR, 2024)

VGGSfM: Visual Geometry Grounded Deep Structure from Motion. - Jianyuan Wang; Nikita Karaev; Christian Rupprecht 001; David Novotný (CVPR, 2024)

GOEmbed: Gradient Origin Embeddings for Representation Agnostic 3D Feature Learning. - Animesh Karnewar; Roman Shapovalov; Tom Monnier; Andrea Vedaldi; Niloy J. Mitra; David Novotný (ECCV (88), 2024)

Animal Avatars: Reconstructing Animatable 3D Animals from Casual Videos. - Remy Sabathier; Niloy J. Mitra; David Novotný (ECCV (79), 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 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)

Lightplane: Highly-Scalable Components for Neural 3D Fields. - Ang Cao; Justin Johnson 001; Andrea Vedaldi; David Novotný (3DV, 2025)

PartGen: Part-level 3D Generation and Reconstruction with Multi-view Diffusion Models. - Minghao Chen; Roman Shapovalov; Iro Laina; Tom Monnier; Jianyuan Wang; David Novotný; Andrea Vedaldi (CVPR, 2025)

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)

LIM: Large Interpolator Model for Dynamic Reconstruction. - Remy Sabathier; Niloy J. Mitra; David Novotný (CVPR, 2025)

VGGT: Visual Geometry Grounded Transformer. - Jianyuan Wang; Minghao Chen; Nikita Karaev; Andrea Vedaldi; Christian Rupprecht 001; David Novotný (CVPR, 2025)

Twinner: Shining Light on Digital Twins in a Few Snaps. - Jesus Zarzar; Tom Monnier; Roman Shapovalov; Andrea Vedaldi; David Novotný (CVPR, 2025)

Ultralow-Frequency Noise in High-Bias Precision DC-Coupled Voltage Measurements. - David Novotný; Michal Janosek; Vojtech Petrucha (I2MTC, 2025)

WildCAT3D: Appearance-Aware Multi-View Diffusion in the Wild. - Morris Alper; David Novotný; Filippos Kokkinos; Hadar Averbuch-Elor; Tom Monnier (CoRR, 2025)