activity
20222026
most citedAligning individual brains with Fused Unbalanced Gromov-Wasserstein

9 citations · 9 across the 6 of their papers we have counts for

collaborators

6 papers

cs.CV2026

RelWitness: Open-Vocabulary 3D Scene Graph Generation with Visual-Geometric Relation Witnesses

Minh Anh Nguyen, Quang Huy Tran, Bao Ngoc Le +2

Open-vocabulary 3D scene graph generation seeks to describe object instances and their relations with flexible natural-language predicates. The central difficulty is not only vocab…

cs.CV2026

ScriptHOI: Learning Scripted State Transitions for Open-Vocabulary Human-Object Interaction Detection

Minh Anh Nguyen, Quang Huy Tran, Bao Ngoc Le +3

Open-vocabulary human-object interaction (HOI) detection requires recognizing interaction phrases that may not appear as annotated categories during training. Recent vision-languag…

cs.LG2023

Revisiting invariances and introducing priors in Gromov-Wasserstein distances

Pinar Demetci, Quang Huy Tran, Ievgen Redko +1

Gromov-Wasserstein distance has found many applications in machine learning due to its ability to compare measures across metric spaces and its invariance to isometric transformati…

q-bio.NC2022★ 9 cited

Aligning individual brains with Fused Unbalanced Gromov-Wasserstein

Alexis Thual, Huy Tran, Tatiana Zemskova +4

Individual brains vary in both anatomy and functional organization, even within a given species. Inter-individual variability is a major impediment when trying to draw generalizabl…

stat.ML2022

Unbalanced CO-Optimal Transport

Quang Huy Tran, Hicham Janati, Nicolas Courty +4

Optimal transport (OT) compares probability distributions by computing a meaningful alignment between their samples. CO-optimal transport (COOT) takes this comparison further by in…

cs.NE2022

Efficient Approximations of the Fisher Matrix in Neural Networks using Kronecker Product Singular Value Decomposition

Abdoulaye Koroko, Ani Anciaux-Sedrakian, Ibtihel Ben Gharbia +3

Several studies have shown the ability of natural gradient descent to minimize the objective function more efficiently than ordinary gradient descent based methods. However, the bo…