Hong-Seok Lee

2 papers · 2021–2022 · 2 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 🐣 Hot Topic Early Bird 🌉 Interdisciplinary Bridge · Bronze

Venues

ICCV (1) NeurIPS (1)

Top co-authors

Yamin Mao (1) Yuchao Dai (1) Qiang Wang (1) Dongbin Na (1) Zhihua Liu (1) Yun-Tae Kim (1) Kyu-Hwan Jung (1) Jaewon Lee (1) Seo Taek Kong (1) Weiming Li (1)

Research topics

Machine Learning (2) Learning Types · Machine Learning (2) Optimization & Theory (2) Computer Vision (1) Deep Learning (1) Analysis (1) Learning Types · Deep Learning (1)

Keywords

uncertainty quantification (2) neural tangent kernel (1) semi-supervised learning (1) depth estimation (1) label complexity (1) uncertainty sampling (1) stereo matching (1) convolutional neural network (1) uncertainty estimation (1) pool-based learning (1) disparity map (1) cost volume (1) active learning (1) cascade cost volume (1)

Papers

A Neural Pre-Conditioning Active Learning Algorithm to Reduce Label Complexity NeurIPS 2022 UASNet: Uncertainty Adaptive Sampling Network for Deep Stereo Matching ICCV 2021