Yeonsik Jo

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 🌉 Interdisciplinary Bridge · Gold 🗺️ Taxonomy Completionist (17) 🐣 Hot Topic Early Bird

Venues

ICCV (2) AAAI (1) NeurIPS (1)

Top co-authors

Jinhyung Kim (2) Seung Hwan Kim (2) Bumsoo Kim (2) Moontae Lee (1) Ahra Jo (1) Se Young Chun (1) Jaewan Lee (1) Jonghyun Choi (1) Jaegul Choo (1) Sehui Han (1)

Research topics

Deep Learning (4) Machine Learning (3) Learning Types (3) Computer Vision (2) Models (2) Techniques (2) Artificial Intelligence (1) Computer Science (1) Interdisciplinary (1) Analysis (1) Application Areas (1) Applications (1) Core AI (1) Core Methods (1) Domain-Specific (1)

Keywords

image-text alignment (2) knowledge distillation (2) contrastive learning (2) object detection (1) image captioning (1) image denoising (1) inverse problem (1) vision-language pre-training (1) language-image pretraining (1) deep image prior (1) graph reconstruction (1) optical character recognition (1) entity detection (1) optimization progress (1) stochastic temporal ensemble (1) optical chemical structure recognition (1) molecular structure (1) chemical structure recognition (1) effective degrees of freedom (1) temporal ensemble (1)

Papers

Expediting Contrastive Language-Image Pretraining via Self-Distilled Encoders AAAI 2024 Misalign, Contrast then Distill: Rethinking Misalignments in Language-Image Pre-training ICCV 2023 CEDe: A collection of expert-curated datasets with atom-level entity annotations for Optical Chemical Structure Recognition NeurIPS 2022 Rethinking Deep Image Prior for Denoising ICCV 2021