Byungsoo Ko (original) (raw)

(* authors contributed equally)

Granularity-aware Adaptation for Image Retrieval over Multiple Tasks

Jon Almazan, Byungsoo Ko, Geonmo Gu, Diane Larlus, Yannis Kalantidis

ECCV, 2022

[paper]

Large-scale Bilingual Language-Image Contrastive Learning

Self-Distilled Hashing for Deep Image Retrieval

Young Kyun Jang, Geonmo Gu, Byungsoo Ko, Nam Ik Cho

ECCV, 2022

[paper] [code]

Towards Light-weight and Real-time Line Segment Detection

Geonmo Gu*, Byungsoo Ko*, SeoungHyun Go, Sung-Hyun Lee, Jingeun Lee, Minchul Shin

The Association for the Advancement of Artificial Intelligence (AAAI), 2022

[paper] [code] [ppt] [colab] [demo]

Learning with Memory-based Virtual Classes for Deep Metric Learning

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

Minchul Shin, Yoonjae Cho, Byungsoo Ko, Geonmo Gu

Arxiv, 2021

[paper]

Proxy Synthesis: Learning with Synthetic Class for Deep Metric Learning

An Effective Pipeline for a Real-world Clothes Retrieval System

Yang-Ho Ji*, HeeJae Jun*, Jongtack Kim*, Youngjoon Kim*, Byungsoo Ko*, Insik Kim* Hyong-Keun Kook*, Jingeun Lee*, Sanghyuk Park* Sangwon Lee*

CVFAD Workshop on Computer Vision and Pattern Recognition (CVPR), 2020

[arxiv]

Embedding Expansion: Augmentation in Embedding Space for Deep Metric Learning

Symmetrical Synthesis for Deep Metric Learning

A Benchmark on Tricks for Large-scale Image Retrieval

Byungsoo Ko*, Minchul Shin*, Geonmo Gu, HeeJae Jun, Tae Kwan Lee, Youngjoon Kim

Arxiv, 2019

[arxiv]

Combination of Multiple Global Descriptors for Image Retrieval

HeeJae Jun*, ByungSoo Ko*, Youngjoon Kim, Insik Kim, Jongtack Kim

Arxiv, 2019

[arxiv] [code]

Naive semi-supervised deep learning using pseudo-label

Zhun Li, Byungsoo Ko, Ho-Jin Choi

Peer-to-Peer Networking and Applications (SCIE) , 2018

[paper]

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

Byung s oo Ko, Chanyong Park, Dongkeon Lee, Jaewon Kim, Ho-Jin Choi, Dongsoo Han

The 1st International Workshop on Dialog Systems (IWDS), 2018

[paper] [code]

Pseudo Labeling Using Gaussian Process for Semi-supervised Deep Learning

Zhun Li, Byungsoo Ko, Ho-Jin Choi

IEEE International Conference on Big Data and Smart Computing (BigComp) , 2017

[paper]

Controlled Dropout: a Different Dropout for Improving Training Speed on Deep Neural Network

Byungsoo Ko, Han-Gyu Kim, Ho-Jin Choi

IEEE International Conference on Systems, Man, and Cybernetics (SMC), 2017

[paper] [code]

Empathy Bot - Conversational Service for Psychiatric Counseling with Chat Assistant

Kyo-Joong Oh, DongKun Lee, Byungsoo Ko, Jonghwan Hyeon, Ho-Jin Choi

Precision Healthcare through Informatics: MEDINFO, 2017

[paper]

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

Kyo-Joong Oh, Dongkun Lee, Byungsoo Ko, Ho-Jin Choi

WSTIE (workshop in IEEE MDM), 2017

[paper]

Neural Network-based Autonomous Navigation for a Homecare Mobile Robot

Byungsoo Ko, Ho-Jin Choi, Chansol Hong, Jong-Hwan Kim, Oh Chul Kwon, Chang D. Yoo

BigData4Healthcare (workshop in IEEE BigComp), 2017

[paper]

Controlled Dropout: a Different Approach to Using Dropout on Deep Neural Network

Byungsoo Ko, Han-Gyu Kim, Kyo-Joong Oh, Ho-Jin Choi

IEEE International Conference on Big Data and Smart Computing (BigComp), 2017

[paper] [code]