Nikolay Chumerin

4 papers · 2021–2024 · 3 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 🗺️ Taxonomy Completionist (10) 🐣 Hot Topic Early Bird

Venues

WACV (2) AAAI (1) ICCV (1)

Top co-authors

Rahaf Aljundi (4) Daniel Olmeda Reino (4) Tomas Vojir (1) Milan Sulc (1) Yash Patel (1) Tomáš Šipka (1) Jiri Matas (1) Soroush Seifi (1)

Research topics

Machine Learning (3) Core Methods (3) Learning Types · Machine Learning (3) Computer Vision (1) Deep Learning (1) Analysis (1) Application Areas (1) Domain-Specific (1) Learning Types · Deep Learning (1)

Keywords

supervised contrastive learning (2) representation learning (2) semantic segmentation (1) anomaly detection (1) prototype learning (1) supervised learning (1) autonomous driving (1) image reconstruction (1) model uncertainty (1) generalization error (1) probabilistic interpretation (1) sample selection (1) out-of-distribution detection (1) cross-entropy loss (1) neural network classifier (1) cross entropy (1) classifier training (1) feature mixing (1) active learning (1) road segmentation (1)

Papers

OOD Aware Supervised Contrastive Learning WACV 2024 Contrastive Classification and Representation Learning with Probabilistic Interpretation AAAI 2023 Identifying Wrongly Predicted Samples: A Method for Active Learning WACV 2022 Road Anomaly Detection by Partial Image Reconstruction With Segmentation Coupling ICCV 2021