Luke Meyers

2 papers · 2024–2026 · 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

Jump to papers ↓

🌍 Conference Polyglot · Bronze 🌉 Interdisciplinary Bridge · Bronze 🗺️ Taxonomy Completionist (10)

Venues

EMNLP (1) WACV (1)

Top co-authors

Josué A. Rodríguez-Cordero (1) Brian Benedict (1) Shamane Siriwardhana (1) Malikeh Ehghaghi (1) Vladimir Karpukhin (1) Remi Megret (1) Charles Goddard (1) Jacob Solawetz (1) Mark McQuade (1)

Research topics

Artificial Intelligence (2) Deep Learning (2) Machine Learning (2) Models (2) Computer Vision (1) Analysis (1) Application Areas (1) Core AI (1) Core Methods (1) Learning Paradigms (1) Learning Types · Deep Learning (1) Learning Types · Machine Learning (1)

Keywords

transfer learning (1) model merging (1) fine-grained recognition (1) multi-task model (1) vision foundation model (1) pose normalization (1) large language model (1) contrastive metric learning (1) animal tracking (1) fine-grained re-identification (1) self-supervised visual foundation model (1) honey bee re-identification (1) pose-normalized bee crop (1)

Papers

One-Shot Fine-Grained Re-Identification of Paint Marked Honey Bees using Vision Foundation Models WACV 2026 Arcee’s MergeKit: A Toolkit for Merging Large Language Models EMNLP 2024