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Changick Kim
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Publications
- 2021
- [c65]Taekyung Kim, Jaehoon Choi, Seokeon Choi, Dongki Jung, Changick Kim:
Just a Few Points are All You Need for Multi-view Stereo: A Novel Semi-supervised Learning Method for Multi-view Stereo. ICCV 2021: 6158-6166 - [c64]Dongki Jung, Jaehoon Choi, Yonghan Lee, Deokhwa Kim, Changick Kim, Dinesh Manocha, Donghwan Lee:
DnD: Dense Depth Estimation in Crowded Dynamic Indoor Scenes. ICCV 2021: 12777-12787 - [i26]Dongki Jung, Jaehoon Choi, Yonghan Lee, Deokhwa Kim, Changick Kim, Dinesh Manocha, Donghwan Lee:
DnD: Dense Depth Estimation in Crowded Dynamic Indoor Scenes. CoRR abs/2108.05615 (2021) - 2020
- [c53]Dongki Jung, Seunghan Yang, Jaehoon Choi, Changick Kim:
Arbitrary Style Transfer Using Graph Instance Normalization. ICIP 2020: 1596-1600 - [i18]Dongki Jung, Seunghan Yang, Jaehoon Choi, Changick Kim:
Arbitrary Style Transfer using Graph Instance Normalization. CoRR abs/2010.02560 (2020) - [i17]Jaehoon Choi, Dongki Jung, Donghwan Lee, Changick Kim:
Self-supervised Monocular Depth Estimation with Semantic-aware Depth Features. CoRR abs/2010.02893 (2020) - 2019
- [c45]Jaehoon Choi, Minki Jeong, Taekyung Kim, Changick Kim:
Pseudo-Labeling Curriculum for Unsupervised Domain Adaptation. BMVC 2019: 67 - [c43]Seunghyeon Kim, Jaehoon Choi, Taekyung Kim, Changick Kim:
Self-Training and Adversarial Background Regularization for Unsupervised Domain Adaptive One-Stage Object Detection. ICCV 2019: 6091-6100 - [c42]Jaehoon Choi, Taekyung Kim, Changick Kim:
Self-Ensembling With GAN-Based Data Augmentation for Domain Adaptation in Semantic Segmentation. ICCV 2019: 6829-6839 - [i12]Jaehoon Choi, Minki Jeong, Taekyung Kim, Changick Kim:
Pseudo-Labeling Curriculum for Unsupervised Domain Adaptation. CoRR abs/1908.00262 (2019) - [i10]Jaehoon Choi, Taekyung Kim, Changick Kim:
Self-Ensembling with GAN-based Data Augmentation for Domain Adaptation in Semantic Segmentation. CoRR abs/1909.00589 (2019) - [i9]Seunghyeon Kim, Jaehoon Choi, Taekyung Kim, Changick Kim:
Self-Training and Adversarial Background Regularization for Unsupervised Domain Adaptive One-Stage Object Detection. CoRR abs/1909.00597 (2019) - 2017
- [i1]Li Yi, Lin Shao, Manolis Savva, Haibin Huang, Yang Zhou, Qirui Wang, Benjamin Graham, Martin Engelcke, Roman Klokov, Victor S. 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 Häne, 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 A. Funkhouser, Hao Su, Leonidas J. Guibas:
Large-Scale 3D Shape Reconstruction and Segmentation from ShapeNet Core55. CoRR abs/1710.06104 (2017)
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