Extracting Topic-related Opinions and their Targets in NTCIR-7. - Youngho Kim; Seongchan Kim; Sung-Hyon Myaeng (NTCIR, 2008)

Generating and mixing feature sets from language models for sentiment classification. - Yoonjae Jeong; Youngho Kim; Seongchan Kim; Sung-Hyon Myaeng; Hyo-Jung Oh (NLPKE, 2009)

Detecting Opinions and their Opinion Targets in NTCIR-8. - Yoonjung Choi; Seongchan Kim; Sung-Hyon Myaeng (NTCIR, 2010)

Personal Information Access Using Proactive Search and Mobile Hypertext. - Hyeju Jang; Seongchan Kim; Wookhyun Shin; Sung-Hyon Myaeng (IEEE Intell. Syst., 2010)

Functional-Based Table Category Identification in Digital Library. - Seongchan Kim; Ying Liu 006 (ICDAR, 2011)

Analysis of the differences in energy simulation results between building information modeling (BIM)-based simulation method and the detailed simulation method. - Seongchan Kim; Jeong-Han Woo (WSC, 2011)

Scientific table type classification in digital library. - Seongchan Kim; Keejun Han; Soon Young Kim; Ying Liu 006 (ACM Symposium on Document Engineering, 2012)

Exploiting Knowledge Structure for Proximity-aware Movie Retrieval Model. - Sansung Kim; Keejun Han; Mun Yong Yi; Sinhee Cho; Seongchan Kim (CIKM, 2014)

Quality-Based Automatic Classification for Presentation Slides. - Seongchan Kim; Wonchul Jung; Keejun Han; Jae-Gil Lee 001; Mun Yong Yi (ECIR, 2014)

Improving Knowledge Validation using Objectivity and Corroborativeness of Web Resources. - Seongchan Kim; Jiyeon Choi; Mun Yong Yi (ISWC (Posters & Demos), 2015)

GlobeNet: Convolutional Neural Networks for Typhoon Eye Tracking from Remote Sensing Imagery. - Seungkyun Hong; Seongchan Kim; Minsu Joh; Sa-Kwang Song (CoRR, 2017)

DeepRain: ConvLSTM Network for Precipitation Prediction using Multichannel Radar Data. - Seongchan Kim; Seungkyun Hong; Minsu Joh; Sa-Kwang Song (CoRR, 2017)

PSIque: Next Sequence Prediction of Satellite Images using a Convolutional Sequence-to-Sequence Network. - Seungkyun Hong; Seongchan Kim; Minsu Joh; Sa-Kwang Song (CoRR, 2017)

Developing information quality assessment framework of presentation slides. - Seongchan Kim; Jae-Gil Lee 001; Mun Yong Yi (J. Inf. Sci., 2017)

Efficient SIMD implementation of binarized convolutional neural network. - Yongmin Park; Seongchan Kim; Tae-Hwan Kim (ICCE, 2018)

MCSIP Net: Multichannel Satellite Image Prediction via Deep Neural Network. - Jae-Hyeok Lee 001; Sangmin S. Lee; Hak Gu Kim; Sa-Kwang Song; Seongchan Kim; Yong Man Ro (IEEE Trans. Geosci. Remote. Sens., 2020)

Rain-Type Classification From Microwave Satellite Observations Using Deep Neural Network Segmentation. - Yeji Choi; Seongchan Kim (IEEE Geosci. Remote. Sens. Lett., 2021)

Self-Evolving Neural Radiance Fields. - Jaewoo Jung; Jisang Han; Jiwon Kang; Seongchan Kim; Minseop Kwak; Seungryong Kim (CoRR, 2023)

AI-Assisted Object Detection and Information Extraction from Statistical Reports for Enhanced Digital Services. - Jinseop Shin; Seongchan Kim; Kyung-Min Kim; Mun Yong Yi (JCDL, 2024)

Referring Video Object Segmentation via Language-aligned Track Selection. - Seongchan Kim; Woojeong Jin 002; Sangbeom Lim; Heeji Yoon; Hyunwook Choi; Seungryong Kim (CoRR, 2024)

Improvements in deep learning-based precipitation nowcasting using major atmospheric factors with radar rain rate. - Wonsu Kim; Chang-Hoo Jeong; Seongchan Kim (Comput. Geosci., 2024)

Multi-Granularity Video Object Segmentation. - Sangbeom Lim; Seongchan Kim; Seungjun An; Seokju Cho; Paul Hongsuck Seo; Seungryong Kim (AAAI, 2025)

InterRVOS: Interaction-aware Referring Video Object Segmentation. - Woojeong Jin 002; Seongchan Kim; Seungryong Kim (CoRR, 2025)