Ferran Diego

4 papers · 2014–2017 · 2 venues · across top CS/AI venues

Authors are matched by name, so researchers who share a name ("Yang Liu", "Wei Wang") appear as a single profile and their paper counts, venues and achievements are combined. How identity is handled.

Achievements

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🌍 Conference Polyglot · Bronze 🌉 Interdisciplinary Bridge · Bronze 🗺️ Taxonomy Completionist (12) 🐣 Hot Topic Early Bird 🧭 Keyword Pioneer

Venues

CVPR (2) NeurIPS (2)

Top co-authors

Fred A. Hamprecht (4) Sven Peter (2) Lee Campbell (1) Luca Fiaschi (1) Ullrich Koethe (1) Brandon Harvey (1) Martin Both (1) Elke Kirschbaum (1) Boaz Nadler (1) Conor Heins (1)

Research topics

Machine Learning (4) Core Methods (3) Computer Vision (2) Interdisciplinary (1) Analysis (1) Application Areas (1) Cognitive Science (1) Learning Types (1) Optimization & Theory (1) Processing (1) Science (1)

Keywords

gradient boosting (2) structured prediction (1) weakly supervised learning (1) depth estimation (1) signal processing (1) time series (1) spike timing (1) multi-object tracking (1) occlusion handling (1) structured learning (1) cost-sensitive learning (1) image inpainting (1) identity preservation (1) regression tree (1) pattern detection (1) identity switch (1) sparse convolutional coding (1) neuronal assembly detection (1) gaussian conditional random field (1) translucent object (1)

Papers

Cost efficient gradient boosting NeurIPS 2017 Sparse convolutional coding for neuronal assembly detection NeurIPS 2017 Structured Regression Gradient Boosting CVPR 2016 Tracking Indistinguishable Translucent Objects over Time using Weakly Supervised Structured Learning CVPR 2014