Taewan Kim

2 papers · 2019–2023 · 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 (10) 🐣 Hot Topic Early Bird

Venues

CVPR (1) NeurIPS (1)

Top co-authors

Onkar Dabeer (1) Avinash Ravichandran (1) Joydeep Ghosh (1) Jongheon Jeong (1) Yang Zou (1) Dongqing Zhang (1)

Research topics

Computer Vision (2) Deep Learning (2) Learning Types (2) Artificial Intelligence (1) Machine Learning (1) Analysis (1) Application Areas (1) Core AI (1) Core Methods (1) Domain-Specific (1) Learning Paradigms (1) Optimization & Theory (1)

Keywords

zero-shot learning (1) image segmentation (1) few-shot learning (1) multi-source learning (1) anomaly detection (1) sensor fusion (1) 3d object detection (1) noise robustness (1) loss function (1) vision-language model (1) anomaly segmentation (1) deep fusion (1) anomaly classification (1) industrial quality inspection (1) single source robustness (1)

Papers

WinCLIP: Zero-/Few-Shot Anomaly Classification and Segmentation CVPR 2023 On Single Source Robustness in Deep Fusion Models NeurIPS 2019