Woo-Young Kang

Orcid: 0000-0002-6121-514X

According to our database1, Woo-Young Kang authored at least 13 papers between 2017 and 2023.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

Legend:

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PhD thesis 
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Links

On csauthors.net:

Bibliography

2023
Honeybee: Locality-enhanced Projector for Multimodal LLM.
CoRR, 2023

Large Language Models are Temporal and Causal Reasoners for Video Question Answering.
CoRR, 2023

NICE: CVPR 2023 Challenge on Zero-shot Image Captioning.
CoRR, 2023

Open-Vocabulary Object Detection using Pseudo Caption Labels.
CoRR, 2023

Dense but Efficient VideoQA for Intricate Compositional Reasoning.
Proceedings of the IEEE/CVF Winter Conference on Applications of Computer Vision, 2023

Noise-aware Learning from Web-crawled Image-Text Data for Image Captioning.
Proceedings of the IEEE/CVF International Conference on Computer Vision, 2023

Large Language Models are Temporal and Causal Reasoners for Video Question Answering.
Proceedings of the 2023 Conference on Empirical Methods in Natural Language Processing, 2023

2021
Winning the ICCV'2021 VALUE Challenge: Task-aware Ensemble and Transfer Learning with Visual Concepts.
CoRR, 2021

Image-to-Image Retrieval by Learning Similarity between Scene Graphs.
Proceedings of the Thirty-Fifth AAAI Conference on Artificial Intelligence, 2021

2020
Hypergraph Attention Networks for Multimodal Learning.
Proceedings of the 2020 IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2020

2019
SDA: a semi-parametric differential abundance analysis method for metabolomics and proteomics data.
BMC Bioinform., 2019

2017
Criteria for Human-Compatible AI in Two-Player Vision-Language Tasks.
Proceedings of the Linguistic and Cognitive Approaches To Dialog Agents Workshop co-located with the 26th International Joint Conference on Artificial Intelligence, 2017

Extremely Sparse Deep Learning Using Inception Modules with Dropfilters.
Proceedings of the 14th IAPR International Conference on Document Analysis and Recognition, 2017


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