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Chiheon Kim
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2020 – today
- 2023
- [c9]Chiheon Kim, Doyup Lee, Saehoon Kim, Minsu Cho, Wook-Shin Han:
Generalizable Implicit Neural Representations via Instance Pattern Composers. CVPR 2023: 11808-11817 - [c8]Jaehoon Yoo, Semin Kim, Doyup Lee, Chiheon Kim, Seunghoon Hong:
Towards End-to-End Generative Modeling of Long Videos with Memory-Efficient Bidirectional Transformers. CVPR 2023: 22888-22897 - [c7]Doyup Lee, Chiheon Kim, Minsu Cho, Wook-Shin Han:
Locality-Aware Generalizable Implicit Neural Representation. NeurIPS 2023 - [i13]Jaehoon Yoo, Semin Kim, Doyup Lee, Chiheon Kim, Seunghoon Hong:
Towards End-to-End Generative Modeling of Long Videos with Memory-Efficient Bidirectional Transformers. CoRR abs/2303.11251 (2023) - [i12]Doyup Lee, Chiheon Kim, Minsu Cho, Wook-Shin Han:
Locality-Aware Generalizable Implicit Neural Representation. CoRR abs/2310.05624 (2023) - [i11]Yoonwoo Jeong, Jinwoo Lee, Chiheon Kim, Minsu Cho, Doyup Lee:
NVS-Adapter: Plug-and-Play Novel View Synthesis from a Single Image. CoRR abs/2312.07315 (2023) - 2022
- [c6]Doyup Lee, Chiheon Kim, Saehoon Kim, Minsu Cho, Wook-Shin Han:
Autoregressive Image Generation using Residual Quantization. CVPR 2022: 11513-11522 - [c5]Doyup Lee, Chiheon Kim, Saehoon Kim, Minsu Cho, Wook-Shin Han:
Draft-and-Revise: Effective Image Generation with Contextual RQ-Transformer. NeurIPS 2022 - [c4]Tackgeun You, Saehoon Kim, Chiheon Kim, Doyup Lee, Bohyung Han:
Locally Hierarchical Auto-Regressive Modeling for Image Generation. NeurIPS 2022 - [i10]Doyup Lee, Chiheon Kim, Saehoon Kim, Minsu Cho, Wook-Shin Han:
Autoregressive Image Generation using Residual Quantization. CoRR abs/2203.01941 (2022) - [i9]Doyup Lee, Chiheon Kim, Saehoon Kim, Minsu Cho, Wook-Shin Han:
Draft-and-Revise: Effective Image Generation with Contextual RQ-Transformer. CoRR abs/2206.04452 (2022) - [i8]Chiheon Kim, Doyup Lee, Saehoon Kim, Minsu Cho, Wook-Shin Han:
Generalizable Implicit Neural Representations via Instance Pattern Composers. CoRR abs/2211.13223 (2022) - 2021
- [i7]Chiheon Kim, Saehoon Kim, Jongmin Kim, Donghoon Lee, Sungwoong Kim:
Automated Learning Rate Scheduler for Large-batch Training. CoRR abs/2107.05855 (2021) - 2020
- [j2]Louis Golowich, Chiheon Kim:
New classes of set-sequential trees. Discret. Math. 343(3): 111741 (2020) - [i6]Chiheon Kim, Heungsub Lee, Myungryong Jeong, Woonhyuk Baek, Boogeon Yoon, Ildoo Kim, Sungbin Lim, Sungwoong Kim:
torchgpipe: On-the-fly Pipeline Parallelism for Training Giant Models. CoRR abs/2004.09910 (2020)
2010 – 2019
- 2019
- [c3]Sungwoong Kim, Ildoo Kim, Sungbin Lim
, Woonhyuk Baek, Chiheon Kim, Hyungjoo Cho
Scalable Neural Architecture Search for 3D Medical Image Segmentation. MICCAI (3) 2019: 220-228 - [c2]Sangwoo Mo, Chiheon Kim, Sungwoong Kim, Minsu Cho, Jinwoo Shin:
Mining GOLD Samples for Conditional GANs. NeurIPS 2019: 6167-6178 - [c1]Sungbin Lim, Ildoo Kim, Taesup Kim, Chiheon Kim, Sungwoong Kim:
Fast AutoAugment. NeurIPS 2019: 6662-6672 - [i5]Sungbin Lim, Ildoo Kim, Taesup Kim, Chiheon Kim, Sungwoong Kim:
Fast AutoAugment. CoRR abs/1905.00397 (2019) - [i4]Sungwoong Kim, Ildoo Kim, Sungbin Lim, Woonhyuk Baek, Chiheon Kim, Hyungjoo Cho, Boogeon Yoon, Taesup Kim:
Scalable Neural Architecture Search for 3D Medical Image Segmentation. CoRR abs/1906.05956 (2019) - [i3]Sangwoo Mo, Chiheon Kim, Sungwoong Kim, Minsu Cho, Jinwoo Shin:
Mining GOLD Samples for Conditional GANs. CoRR abs/1910.09170 (2019) - 2018
- [i2]Chiheon Kim, Afonso S. Bandeira, Michel X. Goemans:
Stochastic Block Model for Hypergraphs: Statistical limits and a semidefinite programming approach. CoRR abs/1807.02884 (2018) - 2017
- [j1]Louis Golowich, Chiheon Kim, Richard Zhou:
Maximum Size of a Family of Pairwise Graph-Different Permutations. Electron. J. Comb. 24(4): 4 (2017) - [i1]Chiheon Kim, Afonso S. Bandeira, Michel X. Goemans:
Community Detection in Hypergraphs, Spiked Tensor Models, and Sum-of-Squares. CoRR abs/1705.02973 (2017)
Coauthor Index
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