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Changick Kim

Korea Advanced Institute of Science and Technology

Geometrically Adaptive Dictionary Attack on Face Recognition


Nov 08, 2021
Junyoung Byun, Hyojun Go, Changick Kim

* Accepted at WACV 2022 

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Residual-Guided Learning Representation for Self-Supervised Monocular Depth Estimation


Nov 08, 2021
Byeongjun Park, Taekyung Kim, Hyojun Go, Changick Kim

* 5 pages, 2 figures 

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Learning to Discriminate Information for Online Action Detection: Analysis and Application


Sep 09, 2021
Sumin Lee, Hyunjun Eun, Jinyoung Moon, Seokeon Choi, Yoonhyung Kim, Chanho Jung, Changick Kim

* This work has been submitted to the IEEE for possible publication. Copyright may be transferred without notice, after which this version may no longer be accessible. arXiv admin note: substantial text overlap with arXiv:1912.04461 

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Learning JPEG Compression Artifacts for Image Manipulation Detection and Localization


Aug 30, 2021
Myung-Joon Kwon, Seung-Hun Nam, In-Jae Yu, Heung-Kyu Lee, Changick Kim

* preprint (under review); Code is available at: https://github.com/mjkwon2021/CAT-Net 

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DnD: Dense Depth Estimation in Crowded Dynamic Indoor Scenes


Aug 12, 2021
Dongki Jung, Jaehoon Choi, Yonghan Lee, Deokhwa Kim, Changick Kim, Dinesh Manocha, Donghwan Lee


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Improving Few-shot Learning with Weakly-supervised Object Localization


May 25, 2021
Inyong Koo, Minki Jeong, Changick Kim

* 5 pages, 4 figures 

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Semi-Supervised Domain Adaptation via Selective Pseudo Labeling and Progressive Self-Training


Apr 01, 2021
Yoonhyung Kim, Changick Kim

* Accepted at ICPR 2020 

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Few-shot Open-set Recognition by Transformation Consistency


Mar 02, 2021
Minki Jeong, Seokeon Choi, Changick Kim


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Small Input Noise is Enough to Defend Against Query-based Black-box Attacks


Jan 13, 2021
Junyoung Byun, Hyojun Go, Changick Kim

* 14 pages 

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Robust Federated Learning with Noisy Labels


Dec 03, 2020
Seunghan Yang, Hyoungseob Park, Junyoung Byun, Changick Kim


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Meta Batch-Instance Normalization for Generalizable Person Re-Identification


Nov 30, 2020
Seokeon Choi, Taekyung Kim, Minki Jeong, Hyoungseob Park, Changick Kim


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Self-supervised Monocular Depth Estimation with Semantic-aware Depth Features


Oct 13, 2020
Jaehoon Choi, Dongki Jung, Donghwan Lee, Changick Kim


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SAFENet: Self-Supervised Monocular Depth Estimation with Semantic-Aware Feature Extraction


Oct 06, 2020
Jaehoon Choi, Dongki Jung, Donghwan Lee, Changick Kim


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Arbitrary Style Transfer using Graph Instance Normalization


Oct 06, 2020
Dongki Jung, Seunghan Yang, Jaehoon Choi, Changick Kim


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Attract, Perturb, and Explore: Learning a Feature Alignment Network for Semi-supervised Domain Adaptation


Jul 18, 2020
Taekyung Kim, Changick Kim

* Accepted at ECCV 2020 

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Partial Domain Adaptation Using Graph Convolutional Networks


May 16, 2020
Seunghan Yang, Youngeun Kim, Dongki Jung, Changick Kim


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Single-view 2D CNNs with Fully Automatic Non-nodule Categorization for False Positive Reduction in Pulmonary Nodule Detection


Mar 09, 2020
Hyunjun Eun, Daeyeong Kim, Chanho Jung, Changick Kim

* Computer Methods and Programs in Biomedicine, vol. 165, Oct. 2018, pp. 215-224 
* 12 pages, 16 figures 

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Learning to Discriminate Information for Online Action Detection


Dec 10, 2019
Hyunjun Eun, Jinyoung Moon, Jongyoul Park, Chanho Jung, Changick Kim


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Hi-CMD: Hierarchical Cross-Modality Disentanglement for Visible-Infrared Person Re-Identification


Dec 03, 2019
Seokeon Choi, Sumin Lee, Youngeun Kim, Taekyung Kim, Changick Kim


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SRG: Snippet Relatedness-based Temporal Action Proposal Generator


Nov 26, 2019
Hyunjun Eun, Sumin Lee, Jinyoung Moon, Jongyoul Park, Chanho Jung, Changick Kim


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Learning to Align Multi-Camera Domain for Unsupervised Video Person Re-Identification


Oct 21, 2019
Youngeun Kim, Seokeon Choi, Taekyung Kim, Sumin Lee, Changick Kim

* Methods used in the paper are significantly changed as well as the title 

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Combinational Class Activation Maps for Weakly Supervised Object Localization


Oct 12, 2019
Seunghan Yang, Yoonhyung Kim, Youngeun Kim, Changick Kim

* 9 pages, 4 figures 

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RPM-Net: Robust Pixel-Level Matching Networks for Self-Supervised Video Object Segmentation


Oct 10, 2019
Youngeun Kim, Seokeon Choi, Hankyeol Lee, Taekyung Kim, Changick Kim


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BitNet: Learning-Based Bit-Depth Expansion


Oct 10, 2019
Junyoung Byun, Kyujin Shim, Changick Kim

* Accepted by ACCV 2018, Authors Byun and Shim contributed equally 

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CNN-based Semantic Segmentation using Level Set Loss


Oct 02, 2019
Youngeun Kim, Seunghyeon Kim, Taekyung Kim, Changick Kim

* 2019 IEEE Winter Conference on Applications of Computer Vision (WACV). IEEE, 2019 

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Self-Training and Adversarial Background Regularization for Unsupervised Domain Adaptive One-Stage Object Detection


Sep 02, 2019
Seunghyeon Kim, Jaehoon Choi, Taekyung Kim, Changick Kim

* ICCV 2019 (oral) 

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Self-Ensembling with GAN-based Data Augmentation for Domain Adaptation in Semantic Segmentation


Sep 02, 2019
Jaehoon Choi, Taekyung Kim, Changick Kim

* Accepted to International Conference on Computer Vision (ICCV) 2019 

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A Global-Local Emebdding Module for Fashion Landmark Detection


Aug 28, 2019
Sumin Lee, Sungchan Oh, Chanho Jung, Changick Kim

* Accepted to ICCV 2019 Workshop: Computer Vision for Fashion, Art and Design 

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