Concepedia

Min-Oh Heo

MH

5

Publications

517

Citations

5

H-Index

2016

Active since

Affiliations

Seoul National University(Current)

Robotics Research (United States)

Min-Oh Heo is an author at Seoul National University specializing in visual question answering, deep learning, and engineering.

Top concepts

EngineeringDeep LearningMachine LearningVisual Question AnsweringImage AnalysisComputer VisionNatural Language ProcessingData ScienceMachine VisionComputer Science

Publications per year

2016–2018

5

Publications

5

Multimodal Residual Learning for Visual QA

Jin-Hwa Kim, Sangwoo Lee, Donghyun Kwak et al. · arXiv (Cornell University) · 2016 · 209 citations · Full text

Multimodal Llm, Deep Neural Networks, Image Analysis +14

DeepStory: Video Story QA by Deep Embedded Memory Networks

Kyung-Min Kim, Min-Oh Heo, Seong-Ho Choi et al. · 2017 · 140 citations · Full text

Artificial Intelligence, Ai Agent, Engineering +17

Multimodal Residual Learning for Visual QA

Jin-Hwa Kim, Sang-Woo Lee, Donghyun Kwak et al. · arXiv (Cornell University) · 2016 · 81 citations · Full text

Multimodal Llm, Deep Neural Networks, Image Analysis +14

GLAC Net: GLocal Attention Cascading Networks for Multi-image Cued Story Generation

Taehyeong Kim, Min-Oh Heo, Seonil Son et al. · arXiv (Cornell University) · 2018 · 53 citations · Full text

Natural Language Processing, Multimodal Llm, Visual Stories +13

DeepStory: Video Story QA by Deep Embedded Memory Networks

Kyung-Min Kim, Min-Oh Heo, Seong-Ho Choi et al. · arXiv (Cornell University) · 2017 · 34 citations · Full text

Natural Language Processing, Artificial Intelligence, Ai Agent +15

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