Ruben Martinez-Cantin
10 papers · 2007–2026 · 8 venues · across top CS/AI venues
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Achievements
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🌍 Conference Polyglot · Silver 🌉 Interdisciplinary Bridge · Silver 🏃 Academic Marathon · Full 🐣 Hot Topic Early Bird 🗺️ Taxonomy Completionist (23)
🧭
Keyword Pioneer
🧬
Topic Evolution
📈
Trend Setter
🌈
Renaissance Researcher
(6)
💎
Century Club · Bronze
Top co-authors
Research topics
Machine Learning
(5)
Computer Vision
(4)
Analysis
(4)
Domain-Specific
(4)
Optimization & Theory
(3)
Artificial Intelligence
(2)
Core AI
(2)
Learning Types
(2)
Deep Learning
(1)
Mathematics & Optimization
(1)
Natural Language Processing
(1)
Reinforcement Learning
(1)
Robotics
(1)
Applications · Reinforcement Learning
(1)
Applications · Natural Language Processing
(1)
Keywords
egocentric vision
(3)
bayesian optimization
(3)
semantic segmentation
(2)
sample efficiency
(1)
robot navigation
(1)
scene understanding
(1)
policy optimization
(1)
self-supervised learning
(1)
medical imaging
(1)
distributed learning
(1)
depth estimation
(1)
posterior distribution
(1)
video understanding
(1)
cross-view matching
(1)
outlier detection
(1)
object detection
(1)
gaussian process
(1)
belief state
(1)
gaussian process regression
(1)
robust regression
(1)
Papers
FALCONEye: Finding Answers and Localizing Content in ONE-hour-long videos with multi-modal LLMs
WACV 2026
DIV-FF: Dynamic Image-Video Feature Fields For Environment Understanding in Egocentric Videos
CVPR 2025
O-MaMa: Learning Object Mask Matching between Egocentric and Exocentric Views
ICCV 2025
AFF-ttention! Affordances and Attention models for Short-Term Object Interaction Anticipation
ECCV 2024
LightDepth: Single-View Depth Self-Supervision from Illumination Decline
ICCV 2023
Multi-label Affordance Mapping from Egocentric Vision
ICCV 2023
Fully Distributed Bayesian Optimization with Stochastic Policies
IJCAI 2019
Practical Bayesian optimization in the presence of outliers
AISTATS 2018
BayesOpt: A Bayesian Optimization Library for Nonlinear Optimization, Experimental Design and Bandits
JMLR 2014
Active Policy Learning for Robot Planning and Exploration under Uncertainty
RSS 2007