Giyoung Jeon

4 papers · 2020–2024 · 4 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 (14) 🐣 Hot Topic Early Bird 🏆 Keyword Champion (2)

Venues

AAAI (1) ICCV (1) NeurIPS (1) WACV (1)

Top co-authors

Jaesik Choi (3) Haedong Jeong (3) Byung Jun Kang (1) Kyunghoon Bae (1) Jeeho Hyun (1) Seung Hwan Kim (1) Sangyun Kim (1)

Research topics

Artificial Intelligence (3) Deep Learning (3) Core AI (3) Computer Vision (2) Machine Learning (2) Core Methods (2) Learning Types · Deep Learning (2) Optimization & Theory (2) Analysis (1) Application Areas (1) Architectures (1) Generation (1) Learning Types · Machine Learning (1) Models (1)

Keywords

integrated gradient (2) input attribution (2) anomaly detection (1) feature extraction (1) adversarial training (1) feature attribution (1) neural network analysis (1) gradient-based method (1) stick-breaking process (1) generative model (1) deep neural network (1) pre-trained model (1) sampling algorithm (1) contrastive representation learning (1) defect detection (1) neural network explanation (1) gradient-based attribution (1) industrial anomaly detection (1) industrial defect detection (1) patch representation (1)

Papers

ReConPatch: Contrastive Patch Representation Learning for Industrial Anomaly Detection WACV 2024 Beyond Single Path Integrated Gradients for Reliable Input Attribution via Randomized Path Sampling ICCV 2023 Distilled Gradient Aggregation: Purify Features for Input Attribution in the Deep Neural Network NeurIPS 2022 An Efficient Explorative Sampling Considering the Generative Boundaries of Deep Generative Neural Networks AAAI 2020