Seonguk Seo

12 papers · 2019–2025 · 5 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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🐣 Hot Topic Early Bird 🌍 Conference Polyglot · Silver 🏃 Academic Marathon · Sprint 🌉 Interdisciplinary Bridge · Bronze 🗺️ Taxonomy Completionist (24)

🤝 Dynamic Duo (12) 📈 Trend Setter 💎 Century Club · Bronze 🗃️ Keyword Collector (53)

Venues

CVPR (5) WACV (3) ECCV (2) AAAI (1) ICML (1)

Top co-authors

Bohyung Han (12) Joon-Young Lee (3) Geeho Kim (2) Dongwan Kim (2) Jinkyu Kim (1) Paul Hongsuck Seo (1) Mijeong Kim (1) Mustafa Gokhan Uzunbas (1) Yumin Suh (1) Sara Cao (1)

Research topics

Machine Learning (10) Application Areas (6) Artificial Intelligence (5) Deep Learning (4) Core Methods (4) Learning Types · Machine Learning (4) Optimization & Theory (4) Core AI (3) Learning Types · Deep Learning (3) Learning Paradigms (2) Computer Vision (1) Architectures (1) Processing (1)

Keywords

spurious correlation (3) contrastive learning (2) causal inference (1) domain adaptation (1) metric learning (1) algorithmic fairness (1) transfer learning (1) unsupervised domain adaptation (1) bayesian model (1) entropy minimization (1) image retrieval (1) uncertainty quantification (1) batch normalization (1) multimodal learning (1) confidence calibration (1) online learning (1) machine unlearning (1) scene graph (1) representation learning (1) unsupervised learning (1)

Papers

Fine-Grained Captioning of Long Videos through Scene Graph Consolidation ICML 2025 Metric Compatible Training for Online Backfilling in Large-Scale Retrieval WACV 2025 Re-Evaluating Group Robustness via Adaptive Class-Specific Scaling WACV 2025 Revisiting Machine Unlearning with Dimensional Alignment WACV 2025 Relaxed Contrastive Learning for Federated Learning CVPR 2024 InfoNeRF: Ray Entropy Minimization for Few-Shot Neural Volume Rendering CVPR 2022 Information-Theoretic Bias Reduction via Causal View of Spurious Correlation AAAI 2022 Unsupervised Learning of Debiased Representations With Pseudo-Attributes CVPR 2022 Learning to Optimize Domain Specific Normalization for Domain Generalization ECCV 2020 URVOS: Unified Referring Video Object Segmentation Network with a Large-Scale Benchmark ECCV 2020 Domain-Specific Batch Normalization for Unsupervised Domain Adaptation CVPR 2019 Learning for Single-Shot Confidence Calibration in Deep Neural Networks Through Stochastic Inferences CVPR 2019