Andrew Tao

According to our database¹, Andrew Tao authored at least 36 papers between 2018 and 2024.

Collaborative distances:

Dijkstra number² of four.
Erdős number³ of three.

Timeline

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In proceedings

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PhD thesis

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Links

On csauthors.net:

Bibliography

2024

Progressive Learning of 3D Reconstruction Network From 2D GAN Data.

[BibT_eX]

[DOI]

IEEE Trans. Pattern Anal. Mach. Intell., February, 2024

Leveraging Bitstream Metadata for Fast, Accurate, Generalized Compressed Video Quality Enhancement.

[BibT_eX]

[DOI]

Proceedings of the IEEE/CVF Winter Conference on Applications of Computer Vision, 2024

2023

Fine Detailed Texture Learning for 3D Meshes With Generative Models.

[BibT_eX]

[DOI]

IEEE Trans. Pattern Anal. Mach. Intell., December, 2023

Partial Convolution for Padding, Inpainting, and Image Synthesis.

[BibT_eX]

[DOI]

IEEE Trans. Pattern Anal. Mach. Intell., May, 2023

VILA: On Pre-training for Visual Language Models.

[BibT_eX]

[DOI]

CoRR, 2023

FasterViT: Fast Vision Transformers with Hierarchical Attention.

[BibT_eX]

[DOI]

CoRR, 2023

Preserve Your Own Correlation: A Noise Prior for Video Diffusion Models.

[BibT_eX]

[DOI]

CoRR, 2023

Investigation of Racial Bias in Property Crime Prediction by Machine Learning Models.

[BibT_eX]

[DOI]

Alexander Li

Mikhail Y. Shalaginov

Andrew Tao

Tingying Helen Zeng

Proceedings of the International Conference on Machine Learning and Applications, 2023

Preserve Your Own Correlation: A Noise Prior for Video Diffusion Models.

[BibT_eX]

[DOI]

Proceedings of the IEEE/CVF International Conference on Computer Vision, 2023

2022

Unsupervised Disentanglement of Pose, Appearance and Background from Images and Videos.

[BibT_eX]

[DOI]

IEEE Trans. Pattern Anal. Mach. Intell., 2022

Leveraging Bitstream Metadata for Fast and Accurate Video Compression Correction.

[BibT_eX]

[DOI]

CoRR, 2022

Efficient Token Mixing for Transformers via Adaptive Fourier Neural Operators.

[BibT_eX]

[DOI]

Proceedings of the Tenth International Conference on Learning Representations, 2022

2021

Adaptive Fourier Neural Operators: Efficient Token Mixers for Transformers.

[BibT_eX]

[DOI]

CoRR, 2021

Comparison of Media Sources for COVID-19 by Machine Learning Sentiment Analysis.

[BibT_eX]

[DOI]

Andrew Tao

Kevin Qi

Daniel Che

Mikhail Y. Shalaginov

Tingying Helen Zeng

Proceedings of the International Symposium on Networks, Computers and Communications, 2021

Dual Contrastive Loss and Attention for GANs.

[BibT_eX]

[DOI]

Proceedings of the 2021 IEEE/CVF International Conference on Computer Vision, 2021

View Generalization for Single Image Textured 3D Models.

[BibT_eX]

[DOI]

Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2021

2020

Transposer: Universal Texture Synthesis Using Feature Maps as Transposed Convolution Filter.

[BibT_eX]

[DOI]

CoRR, 2020

Hierarchical Multi-Scale Attention for Semantic Segmentation.

[BibT_eX]

[DOI]

Andrew Tao

Karan Sapra

Bryan Catanzaro

CoRR, 2020

Neural FFTs for Universal Texture Image Synthesis.

[BibT_eX]

[DOI]

Proceedings of the Advances in Neural Information Processing Systems 33: Annual Conference on Neural Information Processing Systems 2020, 2020

Panoptic-Based Image Synthesis.

[BibT_eX]

[DOI]

Proceedings of the 2020 IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2020

2019

Neural ODEs for Image Segmentation with Level Sets.

[BibT_eX]

[DOI]

CoRR, 2019

Video Interpolation and Prediction with Unsupervised Landmarks.

[BibT_eX]

[DOI]

CoRR, 2019

Graphical Contrastive Losses for Scene Graph Generation.

[BibT_eX]

[DOI]

CoRR, 2019

Few-shot Video-to-Video Synthesis.

[BibT_eX]

[DOI]

Proceedings of the Advances in Neural Information Processing Systems 32: Annual Conference on Neural Information Processing Systems 2019, 2019

Unsupervised Video Interpolation Using Cycle Consistency.

[BibT_eX]

[DOI]

Proceedings of the 2019 IEEE/CVF International Conference on Computer Vision, 2019

Graphical Contrastive Losses for Scene Graph Parsing.

[BibT_eX]

[DOI]

Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2019

Improving Semantic Segmentation via Video Propagation and Label Relaxation.

[BibT_eX]

[DOI]

Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2019

2018

Partial Convolution based Padding.

[BibT_eX]

[DOI]

CoRR, 2018

An Interpretable Model for Scene Graph Generation.

[BibT_eX]

[DOI]

CoRR, 2018

SDCNet: Video Prediction Using Spatially-Displaced Convolution.

[BibT_eX]

[DOI]

CoRR, 2018

Introduction to the 1st Place Winning Model of OpenImages Relationship Detection Challenge.

[BibT_eX]

[DOI]

CoRR, 2018

Video-to-Video Synthesis.

[BibT_eX]

[DOI]

CoRR, 2018

Video-to-Video Synthesis.

[BibT_eX]

[DOI]

Proceedings of the Advances in Neural Information Processing Systems 31: Annual Conference on Neural Information Processing Systems 2018, 2018

SDC-Net: Video Prediction Using Spatially-Displaced Convolution.

[BibT_eX]

[DOI]

Proceedings of the Computer Vision - ECCV 2018, 2018

Image Inpainting for Irregular Holes Using Partial Convolutions.

[BibT_eX]

[DOI]

Proceedings of the Computer Vision - ECCV 2018, 2018

High-Resolution Image Synthesis and Semantic Manipulation With Conditional GANs.

[BibT_eX]

[DOI]

Proceedings of the 2018 IEEE Conference on Computer Vision and Pattern Recognition, 2018

Andrew Tao

Timeline

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On csauthors.net:

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