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Taekyung Kim

17 papers · 2019–2025 · 7 conferences · across top CS/AI conferences

Achievements

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+7 more ↓ 🌈 Renaissance Researcher (6) πŸŒ‰ Interdisciplinary Bridge 🌍 Conference Polyglot (7) πŸƒ Academic Marathon (6) πŸ—ΊοΈ Taxonomy Completionist (35)
🌍 Conference Polyglot (7) πŸƒ Academic Marathon (6) 🌈 Renaissance Researcher (6) πŸš€ Conference Pioneer πŸ’Ž Century Club (17) πŸ—ƒοΈ Keyword Collector (61) ❓ The Questioner

Conferences

CVPR (4) ECCV (4) ICCV (3) ICLR (2) RSS (2) ICML (1) WACV (1)

Papers

Certifiably-Correct Mapping for Safe Navigation Despite Odometry Drift RSS 2025 Morphing Tokens Draw Strong Masked Image Models ICLR 2025 Masking meets Supervision: A Strong Learning Alliance CVPR 2025 Learning with Unmasked Tokens Drives Stronger Vision Learners ECCV 2024 HYPE: Hyperbolic Entailment Filtering for Underspecified Images and Texts ECCV 2024 Leveraging temporal contextualization for video action recognition ECCV 2024 Robust Camera Pose Refinement for Multi-Resolution Hash Encoding ICML 2023 What Do Self-Supervised Vision Transformers Learn? ICLR 2023 Bridging Active Exploration and Uncertainty-Aware Deployment Using Probabilistic Ensemble Neural Network Dynamics RSS 2023 Meta Batch-Instance Normalization for Generalizable Person Re-Identification CVPR 2021 Just a Few Points Are All You Need for Multi-View Stereo: A Novel Semi-Supervised Learning Method for Multi-View Stereo ICCV 2021 RPM-Net: Robust Pixel-Level Matching Networks for Self-Supervised Video Object Segmentation WACV 2020 Attract, Perturb, and Explore: Learning a Feature Alignment Network for Semi-supervised Domain Adaptation ECCV 2020 Hi-CMD: Hierarchical Cross-Modality Disentanglement for Visible-Infrared Person Re-Identification CVPR 2020 Self-Training and Adversarial Background Regularization for Unsupervised Domain Adaptive One-Stage Object Detection ICCV 2019 Diversify and Match: A Domain Adaptive Representation Learning Paradigm for Object Detection CVPR 2019 Self-Ensembling With GAN-Based Data Augmentation for Domain Adaptation in Semantic Segmentation ICCV 2019