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Chanyoung Chung

4 accepted papers

2024

Pixel to Elevation: Learning to Predict Elevation Maps at Long Range Using Images for Autonomous Offroad Navigation

Chanyoung Chung, Georgios Georgakis, Patrick Spieler, Curtis Padgett, Ali-akbar Agha-mohammadi, Shehryar Khattak
RA-L 2024

Understanding terrain topology at long-range is crucial for the success of off-road robotic missions, especially when navigating at high-speeds. LiDAR sensors, which are currently heavily relied upon for geometric mapping, provide sparse measurements when mapping at greater distances. To address thi

Cited by 19Source ↗Scholar ↗
2023

InGram: Inductive Knowledge Graph Embedding via Relation Graphs

Jaejun Lee, Chanyoung Chung, Joyce Jiyoung Whang
ICML 2023poster

Inductive knowledge graph completion has been considered as the task of predicting missing triplets between new entities that are not observed during training. While most inductive knowledge graph completion methods assume that all entities can be new, they do not allow new relations to appear at in…

Cited by 61Source ↗PDF ↗code ↗Scholar ↗
2023

Learning Representations of Bi-level Knowledge Graphs for Reasoning beyond Link Prediction

Chanyoung Chung, Joyce Jiyoung Whang
AAAI 2023technical

Knowledge graphs represent known facts using triplets. While existing knowledge graph embedding methods only consider the connections between entities, we propose considering the relationships between triplets. For example, let us consider two triplets T1 and T2 where T1 is (Academy_Awards, Nominate…

Cited by 12Source ↗PDF ↗code ↗Scholar ↗
2023

VISTA: Visual-Textual Knowledge Graph Representation Learning

Jaejun Lee, Chanyoung Chung, Hochang Lee, Sungho Jo, Joyce Jiyoung Whang
EMNLP 2023long findings

Knowledge graphs represent human knowledge using triplets composed of entities and relations. While most existing knowledge graph embedding methods only consider the structure of a knowledge graph, a few recently proposed multimodal methods utilize images or text descriptions of entities in a knowle…

Cited by 0Source ↗Scholar ↗