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Junseok Kwon

15 papers · 2013–2026 · 9 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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+6 more ↓ πŸ—ΊοΈ Taxonomy Completionist (28) 🌍 Conference Polyglot Β· Silver πŸƒ Academic Marathon Β· Half πŸŒ‰ Interdisciplinary Bridge Β· Bronze 🐣 Hot Topic Early Bird
πŸ† Grand Slam 🧭 Keyword Pioneer πŸ—ƒοΈ Keyword Collector (80) πŸ“ˆ Trend Setter πŸ’Ž Century Club Β· Bronze πŸš€ Conference Pioneer

Venues

CVPR (3) AAAI (2) ICCV (2) ICML (2) NeurIPS (2) ECCV (1) ICLR (1) MICCAI (1) WACV (1)

Top co-authors

Sung Woo Park (7) Dong Wook Shu (3) Kyoung Mu Lee (3) Kyungjae Lee (2) Jinhee Park (2) Jinwook Paeng (1) Janghoon Choi (1) Mijoo Kim (1) Dagyeong Na (1) Youjin Kim (1)

Research topics

Machine Learning (10) Deep Learning (7) Optimization & Theory (6) Artificial Intelligence (5) Computer Vision (5) Mathematics & Optimization (4) Analysis (4) Architectures (3) Bayesian & Probabilistic Β· Artificial Intelligence (3) Core Methods (3) Learning Types Β· Deep Learning (3) Learning Types Β· Machine Learning (3) Models (3) Optimization (3) Bayesian & Probabilistic Β· Machine Learning (2)

Keywords

visual tracking (3) stochastic differential equation (3) wasserstein distance (3) generative adversarial network (3) metric learning (2) uncertainty quantification (2) manifold learning (1) embedding learning (1) image generation (1) object detection (1) time series (1) visual object tracking (1) data augmentation (1) point cloud (1) temporal modeling (1) markov chain monte carlo (1) feature representation (1) information bottleneck (1) deep learning (1) feature embedding (1)

Papers

Neural Collapse-Informed Initialization with Perturbation Injection in Classification-based Metric Learning AAAI 2026 Deep Disentangled Metric Learning AAAI 2025 Physics-Informed Neural Operators for Tissue Elasticity Reconstruction MICCAI 2025 Uncertainty Calibration with Energy Based Instance-wise Scaling in the Wild Dataset ECCV 2024 Densely-Packed Object Detection via Hard Negative-Aware Anchor Attention WACV 2022 Neural Markov Controlled SDE: Stochastic Optimization for Continuous-Time Data ICLR 2022 Riemannian Neural SDE: Learning Stochastic Representations on Manifolds NeurIPS 2022 Generative Adversarial Networks for Markovian Temporal Dynamics: Stochastic Continuous Data Generation ICML 2021 Wasserstein Distributional Normalization For Robust Distributional Certification of Noisy Labeled Data ICML 2021 Deep Diffusion-Invariant Wasserstein Distributional Classification NeurIPS 2020 3D Point Cloud Generative Adversarial Network Based on Tree Structured Graph Convolutions ICCV 2019 Deep Meta Learning for Real-Time Target-Aware Visual Tracking ICCV 2019 Sphere Generative Adversarial Network Based on Geometric Moment Matching CVPR 2019 Interval Tracker: Tracking by Interval Analysis CVPR 2014 Minimum Uncertainty Gap for Robust Visual Tracking CVPR 2013