| Autoregressive Image Generation using Residual Quantization D Lee, C Kim, S Kim, M Cho, WS Han Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2022 | 327 | 2022 |
| Contrastive Regularization for Semi-Supervised Learning D Lee, S Kim, I Kim, Y Cheon, M Cho, WS Han CVPR'22 Workshop on Learning with Limited Labelled Data for Image and Video …, 2022 | 54 | 2022 |
| Generalizable Implicit Neural Representations via Instance Pattern Composers C Kim, D Lee, S Kim, M Cho, WS Han Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2023 | 28 | 2023 |
| Demand forecasting from spatiotemporal data with graph networks and temporal-guided embedding D Lee, S Jung, Y Cheon, D Kim, S You NeurIPS'18 Workshop on Modeling and Decision-Making in the Spatiotemporal Domain, 2019 | 28* | 2019 |
| Anomaly Detection in Multivariate Non-stationary Time Series for Automatic DBMS Diagnosis D Lee 2017 16th IEEE International Conference on Machine Learning and Applications …, 2017 | 28 | 2017 |
| Draft-and-revise: Effective image generation with contextual rq-transformer D Lee, C Kim, S Kim, M Cho, WS HAN Advances in Neural Information Processing Systems 35, 30127-30138, 2022 | 25 | 2022 |
| Regularizing Attention Networks for Anomaly Detection in Visual Question Answering D Lee, Y Cheon, WS Han Proceedings of the AAAI Conference on Artificial Intelligence 35 (3), 1845-1853, 2021 | 21 | 2021 |
| Locality-aware generalizable implicit neural representation D Lee, C Kim, M Cho, WS Han Advances in Neural Information Processing Systems 36, 2023 | 14 | 2023 |
| Locally Hierarchical Auto-Regressive Modeling for Image Generation T You, S Kim, C Kim, D Lee, B Han Advances in Neural Information Processing Systems, 2022 | 11 | 2022 |
| Towards End-to-End Generative Modeling of Long Videos with Memory-Efficient Bidirectional Transformers J Yoo, S Kim, D Lee, C Kim, S Hong Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2023 | 10 | 2023 |
| minDALL-E on Conceptual Captions S Kim, S Cho, C Kim, D Lee, W Baek | 7 | 2021 |
| From the Music of Ownership to the Music of Access; Transformation of K-Pop Standard in Online Digital Music Market D Lee, E Yang Global Culture Contents Society, 63-81, 2017 | 7* | 2017 |
| Variational Distribution Learning for Unsupervised Text-to-Image Generation M Kang, D Lee, J Kim, S Kim, B Han Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2023 | 5 | 2023 |
| Soft Labeling Affects Out-of-Distribution Detection of Deep Neural Networks D Lee, Y Cheon ICML'20 Workshop on Uncertainty and Robustness in Deep Learning, 2020 | 4 | 2020 |
| Retrieval-Augmented Score Distillation for Text-to-3D Generation J Seo, S Hong, W Jang, IH Kim, M Kwak, D Lee, S Kim Proceedings of the 41st International Conference on Machine Learning, 2024 | 3 | 2024 |
| Introducing Frames: An Image Generation Model Offering Unprecedented Stylistic Control. Runway https://runwayml.com/research/introducing-frames, 2024 | | 2024 |
| NVS-Adapter: Plug-and-Play Novel View Synthesis from a Single Image Y Jeong, J Lee, C Kim, M Cho, D Lee European Conference on Computer Vision 2024, 2024 | | 2024 |
| Introducing Gen-3 Alpha: A New Frontier for Video Generation Runway https://runwayml.com/research/introducing-gen-3-alpha, 2024 | | 2024 |
Chiheon KimResearch Scientist, RunwayPreverjeni e-poštni naslov na runwayml.com
