activity
20172023
most citedLooking Beyond Appearances: Synthetic Training Data for Deep CNNs in Re-identification

209 citations · 258 across the 6 of their papers we have counts for

collaborators

6 papers

cs.GR2023★ 8 cited

MARF: The Medial Atom Ray Field Object Representation

Peder Bergebakken Sundt, Theoharis Theoharis

We propose Medial Atom Ray Fields (MARFs), a novel neural object representation that enables accurate differentiable surface rendering with a single network evaluation per camera r…

cs.CG2022

FoRM: Recognition and Repair of Foldings in Mesh Surfaces. Application to 3D Object Degradation

K. Sfikas, P. Perakis, T. Theoharis

Triangular meshes are the most popular representations of 3D objects, but many mesh surfaces contain topological singularities that represent a challenge for displaying or further…

cs.CV2021★ 8 cited

Partial 3D Object Retrieval using Local Binary QUICCI Descriptors and Dissimilarity Tree Indexing

Bart Iver van Blokland, Theoharis Theoharis

A complete pipeline is presented for accurate and efficient partial 3D object retrieval based on Quick Intersection Count Change Image (QUICCI) binary local descriptors and a novel…

cs.CV2020★ 15 cited

An Indexing Scheme and Descriptor for 3D Object Retrieval Based on Local Shape Querying

Bart Iver van Blokland, Theoharis Theoharis

A binary descriptor indexing scheme based on Hamming distance called the Hamming tree for local shape queries is presented. A new binary clutter resistant descriptor named Quick In…

cs.CV2020★ 18 cited

Radial Intersection Count Image: a Clutter Resistant 3D Shape Descriptor

Bart Iver van Blokland, Theoharis Theoharis

A novel shape descriptor for cluttered scenes is presented, the Radial Intersection Count Image (RICI), and is shown to significantly outperform the classic Spin Image (SI) and 3D…

cs.CV2017★ 209 cited

Looking Beyond Appearances: Synthetic Training Data for Deep CNNs in Re-identification

Igor Barros Barbosa, Marco Cristani, Barbara Caputo +2

Re-identification is generally carried out by encoding the appearance of a subject in terms of outfit, suggesting scenarios where people do not change their attire. In this paper w…