Manuel Marques

4 papers · 2021–2025 · 3 venues · across top CS/AI venues

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Achievements

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🌍 Conference Polyglot · Bronze 🌉 Interdisciplinary Bridge · Silver 🗺️ Taxonomy Completionist (11) 🐣 Hot Topic Early Bird

Venues

WACV (2) AISTATS (1) ICCV (1)

Top co-authors

Gabriel Moreira (4) João Paulo Costeira (3) Joao Costeira (1) Alexander Hauptmann (1) Alexander G Hauptmann (1)

Research topics

Computer Vision (2) Deep Learning (2) Machine Learning (2) Mathematics & Optimization (2) Analysis (2) Optimization (2) Architectures (1) Core Methods (1) Learning Types · Machine Learning (1) Learning Types · Deep Learning (1) Mathematics (1) Models (1) Optimization & Theory (1)

Keywords

representation learning (1) 3d reconstruction (1) metric learning (1) few-shot learning (1) motion estimation (1) self-supervised learning (1) rotation averaging (1) maximum likelihood estimation (1) visual-semantic embedding (1) nuclear norm (1) primal-dual method (1) rigid transformation (1) optimization method (1) hyperbolic embedding (1) prototypical network (1) cholesky factorization (1) prototype network (1) riemannnian geometry (1) pose graph optimization (1) subspace representation (1)

Papers

Learning Visual-Semantic Subspace Representations AISTATS 2025 Hyperbolic vs Euclidean Embeddings in Few-Shot Learning: Two Sides of the Same Coin WACV 2024 Fast Pose Graph Optimization via Krylov-Schur and Cholesky Factorization WACV 2021 Rotation Averaging in a Split Second: A Primal-Dual Method and a Closed-Form for Cycle Graphs ICCV 2021