Jie An

Orcid: 0000-0002-1402-8288

Affiliations:
  • 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 26 papers between 2017 and 2024.

Collaborative distances:

Timeline

Legend:

Book 
In proceedings 
Article 
PhD thesis 
Dataset
Other 

Links

Online presence:

On csauthors.net:

Bibliography

2024
Learning to Evaluate the Artness of AI-Generated Images.
IEEE Trans. Multim., 2024

On Inductive Biases That Enable Generalization of Diffusion Transformers.
CoRR, 2024

OpenLEAF: A Novel Benchmark for Open-Domain Interleaved Image-Text Generation.
Proceedings of the 32nd ACM International Conference on Multimedia, MM 2024, Melbourne, VIC, Australia, 28 October 2024, 2024

Holistic Visual-Textual Sentiment Analysis with Prior Models.
Proceedings of the 7th IEEE International Conference on Multimedia Information Processing and Retrieval, 2024

Bring Metric Functions into Diffusion Models.
Proceedings of the Thirty-Third International Joint Conference on Artificial Intelligence, 2024

2023
Domain-Scalable Unpaired Image Translation via Latent Space Anchoring.
IEEE Trans. Pattern Anal. Mach. Intell., October, 2023

Video Understanding with Large Language Models: A Survey.
CoRR, 2023

OpenLEAF: Open-Domain Interleaved Image-Text Generation and Evaluation.
CoRR, 2023

Learning to Evaluate the Artness of AI-generated Images.
CoRR, 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

How Art-like are AI-generated Images? An Exploratory Study.
Proceedings of the 1st International Workshop on Multimedia Content Generation and Evaluation: New Methods and Practice, 2023

Make-A-Video: Text-to-Video Generation without Text-Video Data.
Proceedings of the Eleventh International Conference on Learning Representations, 2023

QuantArt: Quantizing Image Style Transfer Towards High Visual Fidelity.
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2023

2022
Improving Visual-textual Sentiment Analysis by Fusing Expert Features.
CoRR, 2022

Facial Attribute Transformers for Precise and Robust Makeup Transfer.
Proceedings of the IEEE/CVF Winter Conference on Applications of Computer Vision, 2022

2021
ArtFlow: Unbiased Image Style Transfer via Reversible Neural Flows.
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

Global Image Sentiment Transfer.
Proceedings of the 25th International Conference on Pattern Recognition, 2020

Ultrafast Photorealistic Style Transfer via Neural Architecture Search.
Proceedings of the Thirty-Fourth AAAI Conference on Artificial Intelligence, 2020

2019
Fast Universal Style Transfer for Artistic and Photorealistic Rendering.
CoRR, 2019

StyleNAS: An Empirical Study of Neural Architecture Search to Uncover Surprisingly Fast End-to-End Universal Style Transfer Networks.
CoRR, 2019

Automatic Cloud Segmentation Based on Fused Fully Convolutional Networks.
Proceedings of the Intelligent Computing Theories and Application, 2019

2018
Pyramid Attention Network for Semantic Segmentation.
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


  Loading...