Name
Papers
Collaborators
DAVID NOVOTNÝ
18
50
Citations 
PageRank 
Referers 
8
6.18
39
Referees 
References 
352
135
Search Limit
100352
Title
Citations
PageRank
Year
Nerfels: Renderable Neural Codes for Improved Camera Pose Estimation00.342022
KeyTr: Keypoint Transporter for 3D Reconstruction of Deformable Objects in Videos00.342022
Feature Query Networks: Neural Surface Description for Camera Pose Refinement00.342022
Discovering Relationships between Object Categories via Universal Canonical Maps00.342021
NeuroMorph: Unsupervised Shape Interpolation and Correspondence in One Go00.342021
Unsupervised Learning of 3D Object Categories from Videos in the Wild00.342021
3D Multi-bodies: Fitting Sets of Plausible 3D Human Models to Ambiguous Image Data.00.342020
RidgeSfM: Structure from Motion via Robust Pairwise Matching Under Depth Uncertainty00.342020
Capturing the Geometry of Object Categories from Video Supervision.10.352020
Continuous Surface Embeddings00.342020
Canonical 3D Deformer Maps: Unifying parametric and non-parametric methods for dense weakly-supervised category reconstruction00.342020
PerspectiveNet: A Scene-consistent Image Generator for New View Synthesis in Real Indoor Environments00.342019
1 pT-noise fluxgate magnetometer design and its performance in geomagnetic measurements00.342019
Correlated Uncertainty for Learning Dense Correspondences from Noisy Labels10.342019
I Have Seen Enough: Transferring Parts Across Categories.10.352016
Learning the semantic structure of objects from Web supervision.10.342016
Cascaded Sparse Spatial Bins for Efficient and Effective Generic Object Detection.20.362015
Understanding the Fisher Vector: a multimodal part model.20.372015