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arXiv research

A locally-built, LLM-digested index of recent arXiv papers in quant finance, geometry/topology, and statistical ML — keyword search served straight from SQLite on this machine.

169,181 papers · 148 categories

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4 results for “pose-invariant”

Deformable Part Networksstat.ML

DPNs learn pose-invariant object representations.

problem Pose-invariant 2D object recognition.

method Deformable Part Networks (DPNs) as sequences of LDPM units.

result 17-layer DPN outperforms CapsNets and STNs significantly on affNIST.

object recognition pose-invariant Deformable Part Networks Localized Deformable Part Models affine transformations

2018-05-22abs ↗pdf ↗

Geometric Capsule Autoencoders for 3D Point Cloudscs.LG

Geometric Capsule Autoencoders group 3D points into parts and objects.

problem Learning object representations from 3D point clouds.

method Geometric capsules with pose and feature components, Multi-View Agreement voting mechanism.

result Learned representations enable object identification and canonical pose recovery.

3D point clouds Geometric capsules Autoencoders Pose-invariant features ShapeNet

2019-12-06abs ↗pdf ↗

Latent feature disentanglement for 3D meshescs.LG

Generative model disentangles 3D shapes into independent factors.

problem Learning rich representations of deformable 3D shapes.

method Supervised 3D mesh-convolutional Variational AutoEncoder with latent feature disentanglement.

result Explicit disentanglement of latent factors improves shape generation and downstream tasks.

3D shapes generative modeling latent disentanglement mesh convolutional variational autoencoder

2019-06-07abs ↗pdf ↗

Generalized Multi-view Shared Subspace Learning using View Bootstrappingcs.LG

Method captures shared information across many views robustly.

problem Modeling hundreds of views per event and learning robust embeddings without view knowledge.

method View bootstrapping using multi-view correlation and matrix concentration theory.

result View bootstrapping captures shared information across many views robustly.

multi-view learning subspace learning view bootstrapping correlation analysis matrix concentration

2020-05-12abs ↗pdf ↗