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Doyup Lee
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2020 – today
- 2024
- [c11]Junyoung Seo, Susung Hong, Wooseok Jang, Inès Hyeonsu Kim, Minseop Kwak, Doyup Lee, Seungryong Kim:
Retrieval-Augmented Score Distillation for Text-to-3D Generation. ICML 2024 - [i13]Junyoung Seo, Susung Hong, Wooseok Jang, Inès Hyeonsu Kim, Minseop Kwak, Doyup Lee, Seungryong Kim:
Retrieval-Augmented Score Distillation for Text-to-3D Generation. CoRR abs/2402.02972 (2024) - 2023
- [c10]Chiheon Kim, Doyup Lee, Saehoon Kim, Minsu Cho, Wook-Shin Han:
Generalizable Implicit Neural Representations via Instance Pattern Composers. CVPR 2023: 11808-11817 - [c9]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 - [c8]Minsoo Kang, Doyup Lee, Jiseob Kim, Saehoon Kim, Bohyung Han:
Variational Distribution Learning for Unsupervised Text-to-Image Generation. CVPR 2023: 23380-23389 - [c7]Doyup Lee, Chiheon Kim, Minsu Cho, Wook-Shin Han:
Locality-Aware Generalizable Implicit Neural Representation. NeurIPS 2023 - [i12]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) - [i11]Minsoo Kang, Doyup Lee, Jiseob Kim, Saehoon Kim, Bohyung Han:
Variational Distribution Learning for Unsupervised Text-to-Image Generation. CoRR abs/2303.16105 (2023) - [i10]Doyup Lee, Chiheon Kim, Minsu Cho, Wook-Shin Han:
Locality-Aware Generalizable Implicit Neural Representation. CoRR abs/2310.05624 (2023) - [i9]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, Sungwoong Kim, Ildoo Kim, Yeongjae Cheon, Minsu Cho, Wook-Shin Han:
Contrastive Regularization for Semi-Supervised Learning. CVPR Workshops 2022: 3910-3919 - [c5]Doyup Lee, Chiheon Kim, Saehoon Kim, Minsu Cho, Wook-Shin Han:
Autoregressive Image Generation using Residual Quantization. CVPR 2022: 11513-11522 - [c4]Doyup Lee, Chiheon Kim, Saehoon Kim, Minsu Cho, Wook-Shin Han:
Draft-and-Revise: Effective Image Generation with Contextual RQ-Transformer. NeurIPS 2022 - [c3]Tackgeun You, Saehoon Kim, Chiheon Kim, Doyup Lee, Bohyung Han:
Locally Hierarchical Auto-Regressive Modeling for Image Generation. NeurIPS 2022 - [i8]Doyup Lee, Sungwoong Kim, Ildoo Kim, Yeongjae Cheon, Minsu Cho, Wook-Shin Han:
Contrastive Regularization for Semi-Supervised Learning. CoRR abs/2201.06247 (2022) - [i7]Doyup Lee, Chiheon Kim, Saehoon Kim, Minsu Cho, Wook-Shin Han:
Autoregressive Image Generation using Residual Quantization. CoRR abs/2203.01941 (2022) - [i6]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) - [i5]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
- [c2]Doyup Lee, Yeongjae Cheon, Wook-Shin Han:
Regularizing Attention Networks for Anomaly Detection in Visual Question Answering. AAAI 2021: 1845-1853 - 2020
- [i4]Doyup Lee, Yeongjae Cheon:
Soft Labeling Affects Out-of-Distribution Detection of Deep Neural Networks. CoRR abs/2007.03212 (2020) - [i3]Doyup Lee, Yeongjae Cheon, Wook-Shin Han:
Regularizing Attention Networks for Anomaly Detection in Visual Question Answering. CoRR abs/2009.10054 (2020)
2010 – 2019
- 2019
- [i2]Doyup Lee, Suehun Jung, Yeongjae Cheon, Dongil Kim, Seungil You:
Demand Forecasting from Spatiotemporal Data with Graph Networks and Temporal-Guided Embedding. CoRR abs/1905.10709 (2019) - 2017
- [c1]Doyup Lee:
Anomaly Detection in Multivariate Non-stationary Time Series for Automatic DBMS Diagnosis. ICMLA 2017: 412-419 - [i1]Doyup Lee:
Anomaly Detection in Multivariate Non-stationary Time Series for Automatic DBMS Diagnosis. CoRR abs/1708.02635 (2017)
Coauthor Index
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last updated on 2024-09-02 21:18 CEST by the dblp team
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