Jie An
Orcid: 0000-0002-1402-8288Affiliations:
- University of Rochester, Department of Computer Science, NY, USA
- Peking University, School of Mathematical Sciences, Beijing, China (former)
According to our database1,
Jie An
authored at least 24 papers
between 2017 and 2024.
Collaborative distances:
Collaborative distances:
Timeline
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Book In proceedings Article PhD thesis Dataset OtherLinks
Online presence:
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on linkedin.com
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on orcid.org
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on github.com
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Bibliography
2024
Proceedings of the 32nd ACM International Conference on Multimedia, MM 2024, Melbourne, VIC, Australia, 28 October 2024, 2024
Proceedings of the 7th IEEE International Conference on Multimedia Information Processing and Retrieval, 2024
Proceedings of the Thirty-Third International Joint Conference on Artificial Intelligence, 2024
2023
IEEE Trans. Pattern Anal. Mach. Intell., October, 2023
Latent-Shift: Latent Diffusion with Temporal Shift for Efficient Text-to-Video Generation.
CoRR, 2023
Is Bigger Always Better? An Empirical Study on Efficient Architectures for Style Transfer and Beyond.
Proceedings of the IEEE/CVF Winter Conference on Applications of Computer Vision, 2023
Jurassic World Remake: Bringing Ancient Fossils Back to Life via Zero-Shot Long Image-to-Image Translation.
Proceedings of the 31st ACM International Conference on Multimedia, 2023
Proceedings of the 1st International Workshop on Multimedia Content Generation and Evaluation: New Methods and Practice, 2023
Proceedings of the Eleventh International Conference on Learning Representations, 2023
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2023
2022
Proceedings of the IEEE/CVF Winter Conference on Applications of Computer Vision, 2022
2021
Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2021
2020
Real-time Universal Style Transfer on High-resolution Images via Zero-channel Pruning.
CoRR, 2020
Proceedings of the 25th International Conference on Pattern Recognition, 2020
Proceedings of the Thirty-Fourth AAAI Conference on Artificial Intelligence, 2020
2019
StyleNAS: An Empirical Study of Neural Architecture Search to Uncover Surprisingly Fast End-to-End Universal Style Transfer Networks.
CoRR, 2019
Proceedings of the Intelligent Computing Theories and Application, 2019
2018
Proceedings of the British Machine Vision Conference 2018, 2018
2017
Segmentation and classification of two-channel C. elegans nucleus-labeled fluorescence images.
BMC Bioinform., 2017