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Byungsoo Ko

According to our database¹, Byungsoo Ko authored at least 28 papers between 2017 and 2024.

Collaborative distances:

Dijkstra number² of five.
Erdős number³ of four.

Timeline

Legend:

Book

In proceedings

Article

PhD thesis

Dataset

Other

Links

On csauthors.net:

Bibliography

2024

Intriguing Properties of Large Language and Vision Models.

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CoRR, 2024

DialogCC: An Automated Pipeline for Creating High-Quality Multi-Modal Dialogue Dataset.

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Proceedings of the 2024 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies (Volume 1: Long Papers), 2024

Stark: Social Long-Term Multi-Modal Conversation with Persona Commonsense Knowledge.

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Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2024, 2024

VVS: Video-to-Video Retrieval with Irrelevant Frame Suppression.

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Proceedings of the Thirty-Eighth AAAI Conference on Artificial Intelligence, 2024

2022

DialogCC: Large-Scale Multi-Modal Dialogue Dataset.

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CoRR, 2022

Group Generalized Mean Pooling for Vision Transformer.

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CoRR, 2022

Large-scale Bilingual Language-Image Contrastive Learning.

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CoRR, 2022

Deep Hash Distillation for Image Retrieval.

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Young Kyun Jang

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Proceedings of the Computer Vision - ECCV 2022, 2022

Granularity-Aware Adaptation for Image Retrieval Over Multiple Tasks.

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Yannis Kalantidis

Proceedings of the Computer Vision - ECCV 2022, 2022

Towards Light-Weight and Real-Time Line Segment Detection.

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Proceedings of the Thirty-Sixth AAAI Conference on Artificial Intelligence, 2022

2021

Self-Distilled Hashing for Deep Image Retrieval.

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Young Kyun Jang

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CoRR, 2021

Towards Real-time and Light-weight Line Segment Detection.

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CoRR, 2021

RTIC: Residual Learning for Text and Image Composition using Graph Convolutional Network.

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CoRR, 2021

Learning with Memory-based Virtual Classes for Deep Metric Learning.

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Proceedings of the 2021 IEEE/CVF International Conference on Computer Vision, 2021

Proxy Synthesis: Learning with Synthetic Classes for Deep Metric Learning.

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Proceedings of the Thirty-Fifth AAAI Conference on Artificial Intelligence, 2021

2020

An Effective Pipeline for a Real-world Clothes Retrieval System.

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Hyong-Keun Kook

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CoRR, 2020

Embedding Expansion: Augmentation in Embedding Space for Deep Metric Learning.

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Proceedings of the 2020 IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2020

Symmetrical Synthesis for Deep Metric Learning.

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Proceedings of the Thirty-Fourth AAAI Conference on Artificial Intelligence, 2020

2019

Naive semi-supervised deep learning using pseudo-label.

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Peer-to-Peer Netw. Appl., 2019

A Benchmark on Tricks for Large-scale Image Retrieval.

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CoRR, 2019

Combination of Multiple Global Descriptors for Image Retrieval.

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CoRR, 2019

2018

Pseudo-Labeling Using Gaussian Process for Semi-Supervised Deep Learning.

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Proceedings of the 2018 IEEE International Conference on Big Data and Smart Computing, 2018

Finding a News Article Related to Posts in Social Media: The Need to Consider Emotion as a Feature.

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Proceedings of the 2018 IEEE International Conference on Big Data and Smart Computing, 2018

2017

Controlled dropout: A different dropout for improving training speed on deep neural network.

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Proceedings of the 2017 IEEE International Conference on Systems, Man, and Cybernetics, 2017

Empathy Bot: Conversational Service for Psychiatric Counseling with Chat Assistant.

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Proceedings of the MEDINFO 2017: Precision Healthcare through Informatics, 2017

A Chatbot for Psychiatric Counseling in Mental Healthcare Service Based on Emotional Dialogue Analysis and Sentence Generation.

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Proceedings of the 18th IEEE International Conference on Mobile Data Management, 2017

Controlled dropout: A different approach to using dropout on deep neural network.

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Proceedings of the 2017 IEEE International Conference on Big Data and Smart Computing, 2017

Neural network-based autonomous navigation for a homecare mobile robot.

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Proceedings of the 2017 IEEE International Conference on Big Data and Smart Computing, 2017

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