Doyup Lee

Orcid: 0009-0007-7093-4991

According to our database1, Doyup Lee authored at least 14 papers between 2017 and 2024.

Collaborative distances:
  • Dijkstra number2 of five.
  • Erdős number3 of four.

Timeline

2017
2018
2019
2020
2021
2022
2023
2024
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Legend:

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In proceedings 
Article 
PhD thesis 
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Other 

Links

On csauthors.net:

Bibliography

2024
Retrieval-Augmented Score Distillation for Text-to-3D Generation.
Proceedings of the Forty-first International Conference on Machine Learning, 2024

NVS-Adapter: Plug-and-Play Novel View Synthesis from a Single Image.
Proceedings of the Computer Vision - ECCV 2024, 2024

2023
Locality-Aware Generalizable Implicit Neural Representation.
Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023

Towards End-to-End Generative Modeling of Long Videos with Memory-Efficient Bidirectional Transformers.
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2023

Generalizable Implicit Neural Representations via Instance Pattern Composers.
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2023

Variational Distribution Learning for Unsupervised Text-to-Image Generation.
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2023

2022
Locally Hierarchical Auto-Regressive Modeling for Image Generation.
Proceedings of the Advances in Neural Information Processing Systems 35: Annual Conference on Neural Information Processing Systems 2022, 2022

Draft-and-Revise: Effective Image Generation with Contextual RQ-Transformer.
Proceedings of the Advances in Neural Information Processing Systems 35: Annual Conference on Neural Information Processing Systems 2022, 2022

Autoregressive Image Generation using Residual Quantization.
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2022

Contrastive Regularization for Semi-Supervised Learning.
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition Workshops, 2022

2021
Regularizing Attention Networks for Anomaly Detection in Visual Question Answering.
Proceedings of the Thirty-Fifth AAAI Conference on Artificial Intelligence, 2021

2020
Soft Labeling Affects Out-of-Distribution Detection of Deep Neural Networks.
CoRR, 2020

2019
Demand Forecasting from Spatiotemporal Data with Graph Networks and Temporal-Guided Embedding.
CoRR, 2019

2017
Anomaly Detection in Multivariate Non-stationary Time Series for Automatic DBMS Diagnosis.
Proceedings of the 16th IEEE International Conference on Machine Learning and Applications, 2017


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