Get our free extension to see links to code for papers anywhere online!

 Add to Chrome

 Add to Firefox

CatalyzeX Code Finder - Browser extension linking code for ML papers across the web! | Product Hunt Embed
Changick Kim

Korea Advanced Institute of Science and Technology

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

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


  Access Paper or Ask Questions

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

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


  Access Paper or Ask Questions

Arbitrary Style Transfer using Graph Instance Normalization

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


  Access Paper or Ask Questions

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 

  Access Paper or Ask Questions

Partial Domain Adaptation Using Graph Convolutional Networks

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


  Access Paper or Ask Questions

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 

  Access Paper or Ask Questions

Learning to Discriminate Information for Online Action Detection

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


  Access Paper or Ask Questions

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


  Access Paper or Ask Questions

SRG: Snippet Relatedness-based Temporal Action Proposal Generator

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


  Access Paper or Ask Questions

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 

  Access Paper or Ask Questions

Combinational Class Activation Maps for Weakly Supervised Object Localization

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

* 9 pages, 4 figures 

  Access Paper or Ask Questions

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


  Access Paper or Ask Questions

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 

  Access Paper or Ask Questions

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 

  Access Paper or Ask Questions

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) 

  Access Paper or Ask Questions

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 

  Access Paper or Ask Questions

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 

  Access Paper or Ask Questions

Pseudo-Labeling Curriculum for Unsupervised Domain Adaptation

Aug 01, 2019
Jaehoon Choi, Minki Jeong, Taekyung Kim, Changick Kim

* Accepted to British Machine Vision Conference (BMVC) 2019 

  Access Paper or Ask Questions

Diversify and Match: A Domain Adaptive Representation Learning Paradigm for Object Detection

May 14, 2019
Taekyung Kim, Minki Jeong, Seunghyeon Kim, Seokeon Choi, Changick Kim

* Accepted to CVPR 2019. Source code will be uploaded soon 

  Access Paper or Ask Questions

Water-Filling: An Efficient Algorithm for Digitized Document Shadow Removal

May 02, 2019
Seungjun Jung, Muhammad Abul Hasan, Changick Kim

* Accepted at Asian Conference on Computer Vision (2018) 

  Access Paper or Ask Questions

Large-Scale 3D Shape Reconstruction and Segmentation from ShapeNet Core55

Oct 27, 2017
Li Yi, Lin Shao, Manolis Savva, Haibin Huang, Yang Zhou, Qirui Wang, Benjamin Graham, Martin Engelcke, Roman Klokov, Victor Lempitsky, Yuan Gan, Pengyu Wang, Kun Liu, Fenggen Yu, Panpan Shui, Bingyang Hu, Yan Zhang, Yangyan Li, Rui Bu, Mingchao Sun, Wei Wu, Minki Jeong, Jaehoon Choi, Changick Kim, Angom Geetchandra, Narasimha Murthy, Bhargava Ramu, Bharadwaj Manda, M Ramanathan, Gautam Kumar, P Preetham, Siddharth Srivastava, Swati Bhugra, Brejesh Lall, Christian Haene, Shubham Tulsiani, Jitendra Malik, Jared Lafer, Ramsey Jones, Siyuan Li, Jie Lu, Shi Jin, Jingyi Yu, Qixing Huang, Evangelos Kalogerakis, Silvio Savarese, Pat Hanrahan, Thomas Funkhouser, Hao Su, Leonidas Guibas


  Access Paper or Ask Questions