Terrance E. Boult

6 papers · 2016–2025 · 5 venues · across top CS/AI venues

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Achievements

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🌍 Conference Polyglot · Silver 🏃 Academic Marathon · Sprint 🌉 Interdisciplinary Bridge · Bronze 🗺️ Taxonomy Completionist (10) 🐣 Hot Topic Early Bird

🧭 Keyword Pioneer

Venues

WACV (2) AAAI (1) CVPR (1) ECCV (1) ICCV (1)

Top co-authors

Steve Cruz (4) Ryan Rabinowitz (3) Manuel Günther (2) Kevin W. Bowyer (1) Steven Zhou (1) Abhijit Bendale (1) Akshay Raj Dhamija (1) Touqeer Ahmad (1) Walter Scheirer (1) Mohsen Jafarzadeh (1)

Research topics

Machine Learning (5) Computer Vision (4) Analysis (4) Core Methods (4) Application Areas (2) Optimization & Theory (2) Deep Learning (1) Architectures (1) Techniques (1)

Keywords

open-set recognition (4) unknown class detection (2) out-of-distribution detection (2) face recognition (1) novelty detection (1) gaussian distribution (1) classifier calibration (1) deep network (1) fine-grained evaluation (1) robust recognition (1) z-score normalization (1) reliability assessment (1) feature attenuation (1) known-unknown separation (1) feature magnitude (1) extreme value machine (1) attribute filtering (1) image classification (1) unknown probability (1) multivariate gaussian (1)

Papers

COSTARR: Consolidated Open Set Technique with Attenuation for Robust Recognition ICCV 2025 GHOST: Gaussian Hypothesis Open-Set Technique AAAI 2025 Operational Open-Set Recognition and PostMax Refinement ECCV 2024 CAST: Conditional Attribute Subsampling Toolkit for Fine-Grained Evaluation WACV 2023 Automatic Open-World Reliability Assessment WACV 2021 Towards Open Set Deep Networks CVPR 2016