David Novotný

Orcid: 0000-0002-9517-1464

According to our database1, David Novotný authored at least 47 papers between 2015 and 2024.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

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PhD thesis 
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Links

On csauthors.net:

Bibliography

2024
Animal Avatars: Reconstructing Animatable 3D Animals from Casual Videos.
CoRR, 2024

ViewDiff: 3D-Consistent Image Generation with Text-to-Image Models.
CoRR, 2024

2023
GOEnFusion: Gradient Origin Encodings for 3D Forward Diffusion Models.
CoRR, 2023

Visual Geometry Grounded Deep Structure From Motion.
CoRR, 2023

Real-time volumetric rendering of dynamic humans.
CoRR, 2023

Self-supervised Correspondence Estimation via Multiview Registration.
Proceedings of the IEEE/CVF Winter Conference on Applications of Computer Vision, 2023

Magnetometry Package for L VICE2 Mission: Triaxial Fluxgate and AMR Magnetometer for Scientific Data Production Near Moon.
Proceedings of the 2023 IEEE SENSORS, Vienna, Austria, October 29 - Nov. 1, 2023, 2023

PoseDiffusion: Solving Pose Estimation via Diffusion-aided Bundle Adjustment.
Proceedings of the IEEE/CVF International Conference on Computer Vision, 2023

Replay: Multi-modal Multi-view Acted Videos for Casual Holography.
Proceedings of the IEEE/CVF International Conference on Computer Vision, 2023

HoloFusion: Towards Photo-realistic 3D Generative Modeling.
Proceedings of the IEEE/CVF International Conference on Computer Vision, 2023

Common Pets in 3D: Dynamic New-View Synthesis of Real-Life Deformable Categories.
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2023

HOLODIFFUSION: Training a 3D Diffusion Model Using 2D Images.
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2023

2022
iSDF: Real-Time Neural Signed Distance Fields for Robot Perception.
Proceedings of the Robotics: Science and Systems XVIII, New York City, NY, USA, June 27, 2022

KeyTr: Keypoint Transporter for 3D Reconstruction of Deformable Objects in Videos.
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2022

Feature Query Networks: Neural Surface Description for Camera Pose Refinement.
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition Workshops, 2022

Nerfels: Renderable Neural Codes for Improved Camera Pose Estimation.
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition Workshops, 2022

2021
Characterization of a Digital AMR Magnetometer for Space Applications.
IEEE Trans. Instrum. Meas., 2021

Augmenting Implicit Neural Shape Representations with Explicit Deformation Fields.
CoRR, 2021

Low frequency noise investigation of pT-level magnetic sensors by cross-spectral method.
Proceedings of the 2021 IEEE Sensors, Sydney, Australia, October 31 - Nov. 3, 2021, 2021

DensePose 3D: Lifting Canonical Surface Maps of Articulated Objects to the Third Dimension.
Proceedings of the 2021 IEEE/CVF International Conference on Computer Vision, 2021

Common Objects in 3D: Large-Scale Learning and Evaluation of Real-life 3D Category Reconstruction.
Proceedings of the 2021 IEEE/CVF International Conference on Computer Vision, 2021

Discovering Relationships Between Object Categories via Universal Canonical Maps.
Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2021

Unsupervised Learning of 3D Object Categories From Videos in the Wild.
Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2021

NeuroMorph: Unsupervised Shape Interpolation and Correspondence in One Go.
Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2021

2020
1-pT Noise Fluxgate Magnetometer for Geomagnetic Measurements and Unshielded Magnetocardiography.
IEEE Trans. Instrum. Meas., 2020

Capturing the Geometry of Object Categories from Video Supervision.
IEEE Trans. Pattern Anal. Mach. Intell., 2020

Accelerating 3D Deep Learning with PyTorch3D.
CoRR, 2020

Canonical 3D Deformer Maps: Unifying parametric and non-parametric methods for dense weakly-supervised category reconstruction.
Proceedings of the Advances in Neural Information Processing Systems 33: Annual Conference on Neural Information Processing Systems 2020, 2020

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

3D Multi-bodies: Fitting Sets of Plausible 3D Human Models to Ambiguous Image Data.
Proceedings of the Advances in Neural Information Processing Systems 33: Annual Conference on Neural Information Processing Systems 2020, 2020

High Dynamic Range Digital Fluxgate Magnetometer.
Proceedings of the 2020 IEEE Sensors, Rotterdam, The Netherlands, October 25-28, 2020, 2020

AMR Magnetometer With Digital Feedback for Space Applications.
Proceedings of the 2020 IEEE International Instrumentation and Measurement Technology Conference, 2020

RidgeSfM: Structure from Motion via Robust Pairwise Matching Under Depth Uncertainty.
Proceedings of the 8th International Conference on 3D Vision, 2020

2019
PerspectiveNet: A Scene-consistent Image Generator for New View Synthesis in Real Indoor Environments.
Proceedings of the Advances in Neural Information Processing Systems 32: Annual Conference on Neural Information Processing Systems 2019, 2019

Correlated Uncertainty for Learning Dense Correspondences from Noisy Labels.
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.
Proceedings of the 2019 IEEE/CVF International Conference on Computer Vision, 2019

1 pT-noise fluxgate magnetometer design and its performance in geomagnetic measurements.
Proceedings of the IEEE International Instrumentation and Measurement Technology Conference, 2019

2018
Learning the structure of object categories from incomplete supervision.
PhD thesis, 2018

Semi-convolutional Operators for Instance Segmentation.
Proceedings of the Computer Vision - ECCV 2018, 2018

Self-Supervised Learning of Geometrically Stable Features Through Probabilistic Introspection.
Proceedings of the 2018 IEEE Conference on Computer Vision and Pattern Recognition, 2018

2017
Generalizing Semantic Part Detectors Across Domains.
Proceedings of the Domain Adaptation in Computer Vision Applications., 2017

Learning 3D Object Categories by Looking Around Them.
Proceedings of the IEEE International Conference on Computer Vision, 2017

AnchorNet: A Weakly Supervised Network to Learn Geometry-Sensitive Features for Semantic Matching.
Proceedings of the 2017 IEEE Conference on Computer Vision and Pattern Recognition, 2017

2016
Learning the semantic structure of objects from Web supervision.
CoRR, 2016

Learning the Structure of Objects from Web Supervision.
Proceedings of the Computer Vision - ECCV 2016 Workshops, 2016

I Have Seen Enough: Transferring Parts Across Categories.
Proceedings of the British Machine Vision Conference 2016, 2016

2015
Understanding the Fisher Vector: a multimodal part model.
CoRR, 2015


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