Andrew Tao

Publication Activity (10 Years)

Years Active: 2017-2024
Publications (10 Years): 50

Top Topics

Diffusion Models

Image Synthesis

Semantic Segmentation

Top Venues

IEEE Trans. Pattern Anal. Mach. Intell.

Publications

Max Ehrlich, Jon Barker, Namitha Padmanabhan, Larry Davis, Andrew Tao, Bryan Catanzaro, Abhinav Shrivastava
Leveraging Bitstream Metadata for Fast, Accurate, Generalized Compressed Video Quality Enhancement. WACV (2024)
Hanrong Ye, De-An Huang, Yao Lu, Zhiding Yu, Wei Ping, Andrew Tao, Jan Kautz, Song Han, Dan Xu, Pavlo Molchanov, Hongxu Yin
X-VILA: Cross-Modality Alignment for Large Language Model. CoRR (2024)
Boyi Li, Ligeng Zhu, Ran Tian, Shuhan Tan, Yuxiao Chen, Yao Lu, Yin Cui, Sushant Veer, Max Ehrlich, Jonah Philion, Xinshuo Weng, Fuzhao Xue, Andrew Tao, Ming-Yu Liu, Sanja Fidler, Boris Ivanovic, Trevor Darrell, Jitendra Malik, Song Han, Marco Pavone
Wolf: Captioning Everything with a World Summarization Framework. CoRR (2024)
Aysegul Dundar, Jun Gao, Andrew Tao, Bryan Catanzaro
Progressive Learning of 3D Reconstruction Network From 2D GAN Data. IEEE Trans. Pattern Anal. Mach. Intell. 46 (2) (2024)
Ali Hatamizadeh, Greg Heinrich, Hongxu Yin, Andrew Tao, José M. Álvarez, Jan Kautz, Pavlo Molchanov
FasterViT: Fast Vision Transformers with Hierarchical Attention. ICLR (2024)
Alexander Li, Mikhail Y. Shalaginov, Andrew Tao, Tingying Helen Zeng
Investigation of Racial Bias in Property Crime Prediction by Machine Learning Models. ICMLA (2023)
Ali Hatamizadeh, Greg Heinrich, Hongxu Yin, Andrew Tao, Jose M. Alvarez, Jan Kautz, Pavlo Molchanov
FasterViT: Fast Vision Transformers with Hierarchical Attention. CoRR (2023)
Songwei Ge, Seungjun Nah, Guilin Liu, Tyler Poon, Andrew Tao, Bryan Catanzaro, David Jacobs, Jia-Bin Huang, Ming-Yu Liu, Yogesh Balaji
Preserve Your Own Correlation: A Noise Prior for Video Diffusion Models. CoRR (2023)
Aysegul Dundar, Jun Gao, Andrew Tao, Bryan Catanzaro
Fine Detailed Texture Learning for 3D Meshes With Generative Models. IEEE Trans. Pattern Anal. Mach. Intell. 45 (12) (2023)
Songwei Ge, Seungjun Nah, Guilin Liu, Tyler Poon, Andrew Tao, Bryan Catanzaro, David Jacobs, Jia-Bin Huang, Ming-Yu Liu, Yogesh Balaji
Preserve Your Own Correlation: A Noise Prior for Video Diffusion Models. ICCV (2023)
Ji Lin, Hongxu Yin, Wei Ping, Yao Lu, Pavlo Molchanov, Andrew Tao, Huizi Mao, Jan Kautz, Mohammad Shoeybi, Song Han
VILA: On Pre-training for Visual Language Models. CoRR (2023)
Guilin Liu, Aysegul Dundar, Kevin J. Shih, Ting-Chun Wang, Fitsum A. Reda, Karan Sapra, Zhiding Yu, Xiaodong Yang, Andrew Tao, Bryan Catanzaro
Partial Convolution for Padding, Inpainting, and Image Synthesis. IEEE Trans. Pattern Anal. Mach. Intell. 45 (5) (2023)
Aysegul Dundar, Jun Gao, Andrew Tao, Bryan Catanzaro
Progressive Learning of 3D Reconstruction Network from 2D GAN Data. CoRR (2023)
Aysegul Dundar, Jun Gao, Andrew Tao, Bryan Catanzaro
Fine Detailed Texture Learning for 3D Meshes with Generative Models. CoRR (2022)
Aysegul Dundar, Kevin J. Shih, Animesh Garg, Robert Pottorf, Andrew Tao, Bryan Catanzaro
Unsupervised Disentanglement of Pose, Appearance and Background from Images and Videos. IEEE Trans. Pattern Anal. Mach. Intell. 44 (7) (2022)
John Guibas, Morteza Mardani, Zongyi Li, Andrew Tao, Anima Anandkumar, Bryan Catanzaro
Efficient Token Mixing for Transformers via Adaptive Fourier Neural Operators. ICLR (2022)
Max Ehrlich, Jon Barker, Namitha Padmanabhan, Larry Davis, Andrew Tao, Bryan Catanzaro, Abhinav Shrivastava
Leveraging Bitstream Metadata for Fast and Accurate Video Compression Correction. CoRR (2022)
Anand Bhattad, Aysegul Dundar, Guilin Liu, Andrew Tao, Bryan Catanzaro
View Generalization for Single Image Textured 3D Models. CVPR (2021)
John Guibas, Morteza Mardani, Zongyi Li, Andrew Tao, Anima Anandkumar, Bryan Catanzaro
Adaptive Fourier Neural Operators: Efficient Token Mixers for Transformers. CoRR (2021)
Anand Bhattad, Aysegul Dundar, Guilin Liu, Andrew Tao, Bryan Catanzaro
View Generalization for Single Image Textured 3D Models. CoRR (2021)
Ning Yu, Guilin Liu, Aysegul Dundar, Andrew Tao, Bryan Catanzaro, Larry Davis, Mario Fritz
Dual Contrastive Loss and Attention for GANs. CoRR (2021)
Ning Yu, Guilin Liu, Aysegul Dundar, Andrew Tao, Bryan Catanzaro, Larry Davis, Mario Fritz
Dual Contrastive Loss and Attention for GANs. ICCV (2021)
Andrew Tao, Kevin Qi, Daniel Che, Mikhail Y. Shalaginov, Tingying Helen Zeng
Comparison of Media Sources for COVID-19 by Machine Learning Sentiment Analysis. ISNCC (2021)
Andrew Tao, Karan Sapra, Bryan Catanzaro
Hierarchical Multi-Scale Attention for Semantic Segmentation. CoRR (2020)
Aysegul Dundar, Kevin J. Shih, Animesh Garg, Robert Pottorf, Andrew Tao, Bryan Catanzaro
Unsupervised Disentanglement of Pose, Appearance and Background from Images and Videos. CoRR (2020)
Morteza Mardani, Guilin Liu, Aysegul Dundar, Shiqiu Liu, Andrew Tao, Bryan Catanzaro
Neural FFTs for Universal Texture Image Synthesis. NeurIPS (2020)
Aysegul Dundar, Karan Sapra, Guilin Liu, Andrew Tao, Bryan Catanzaro
Panoptic-Based Image Synthesis. CVPR (2020)
Guilin Liu, Rohan Taori, Ting-Chun Wang, Zhiding Yu, Shiqiu Liu, Fitsum A. Reda, Karan Sapra, Andrew Tao, Bryan Catanzaro
Transposer: Universal Texture Synthesis Using Feature Maps as Transposed Convolution Filter. CoRR (2020)
Aysegul Dundar, Karan Sapra, Guilin Liu, Andrew Tao, Bryan Catanzaro
Panoptic-based Image Synthesis. CoRR (2020)
Fitsum A. Reda, Deqing Sun, Aysegul Dundar, Mohammad Shoeybi, Guilin Liu, Kevin J. Shih, Andrew Tao, Jan Kautz, Bryan Catanzaro
Unsupervised Video Interpolation Using Cycle Consistency. CoRR (2019)
Ting-Chun Wang, Ming-Yu Liu, Andrew Tao, Guilin Liu, Jan Kautz, Bryan Catanzaro
Few-shot Video-to-Video Synthesis. CoRR (2019)
Fitsum A. Reda, Deqing Sun, Aysegul Dundar, Mohammad Shoeybi, Guilin Liu, Kevin J. Shih, Andrew Tao, Jan Kautz, Bryan Catanzaro
Unsupervised Video Interpolation Using Cycle Consistency. ICCV (2019)
Rafael Valle, Fitsum A. Reda, Mohammad Shoeybi, Patrick LeGresley, Andrew Tao, Bryan Catanzaro
Neural ODEs for Image Segmentation with Level Sets. CoRR (2019)
Ji Zhang, Kevin J. Shih, Ahmed Elgammal, Andrew Tao, Bryan Catanzaro
Graphical Contrastive Losses for Scene Graph Parsing. CVPR (2019)
Ting-Chun Wang, Ming-Yu Liu, Andrew Tao, Guilin Liu, Bryan Catanzaro, Jan Kautz
Few-shot Video-to-Video Synthesis. NeurIPS (2019)
Yi Zhu, Karan Sapra, Fitsum A. Reda, Kevin J. Shih, Shawn D. Newsam, Andrew Tao, Bryan Catanzaro
Improving Semantic Segmentation via Video Propagation and Label Relaxation. CVPR (2019)
Kevin J. Shih, Aysegul Dundar, Animesh Garg, Robert Pottorf, Andrew Tao, Bryan Catanzaro
Video Interpolation and Prediction with Unsupervised Landmarks. CoRR (2019)
Ji Zhang, Kevin J. Shih, Ahmed Elgammal, Andrew Tao, Bryan Catanzaro
Graphical Contrastive Losses for Scene Graph Generation. CoRR (2019)
Ting-Chun Wang, Ming-Yu Liu, Jun-Yan Zhu, Nikolai Yakovenko, Andrew Tao, Jan Kautz, Bryan Catanzaro
Video-to-Video Synthesis. NeurIPS (2018)
Ting-Chun Wang, Ming-Yu Liu, Jun-Yan Zhu, Andrew Tao, Jan Kautz, Bryan Catanzaro
High-Resolution Image Synthesis and Semantic Manipulation With Conditional GANs. CVPR (2018)
Guilin Liu, Fitsum A. Reda, Kevin J. Shih, Ting-Chun Wang, Andrew Tao, Bryan Catanzaro
Image Inpainting for Irregular Holes Using Partial Convolutions. CoRR (2018)
Fitsum A. Reda, Guilin Liu, Kevin J. Shih, Robert Kirby, Jon Barker, David Tarjan, Andrew Tao, Bryan Catanzaro
SDC-Net: Video Prediction Using Spatially-Displaced Convolution. ECCV (7) (2018)
Ji Zhang, Kevin J. Shih, Andrew Tao, Bryan Catanzaro, Ahmed Elgammal
Introduction to the 1st Place Winning Model of OpenImages Relationship Detection Challenge. CoRR (2018)
Guilin Liu, Fitsum A. Reda, Kevin J. Shih, Ting-Chun Wang, Andrew Tao, Bryan Catanzaro
Image Inpainting for Irregular Holes Using Partial Convolutions. ECCV (11) (2018)
Yi Zhu, Karan Sapra, Fitsum A. Reda, Kevin J. Shih, Shawn D. Newsam, Andrew Tao, Bryan Catanzaro
Improving Semantic Segmentation via Video Propagation and Label Relaxation. CoRR (2018)
Ji Zhang, Kevin J. Shih, Andrew Tao, Bryan Catanzaro, Ahmed Elgammal
An Interpretable Model for Scene Graph Generation. CoRR (2018)
Fitsum A. Reda, Guilin Liu, Kevin J. Shih, Robert Kirby, Jon Barker, David Tarjan, Andrew Tao, Bryan Catanzaro
SDCNet: Video Prediction Using Spatially-Displaced Convolution. CoRR (2018)
Guilin Liu, Kevin J. Shih, Ting-Chun Wang, Fitsum A. Reda, Karan Sapra, Zhiding Yu, Andrew Tao, Bryan Catanzaro
Partial Convolution based Padding. CoRR (2018)
Ting-Chun Wang, Ming-Yu Liu, Jun-Yan Zhu, Guilin Liu, Andrew Tao, Jan Kautz, Bryan Catanzaro
Video-to-Video Synthesis. CoRR (2018)
Ting-Chun Wang, Ming-Yu Liu, Jun-Yan Zhu, Andrew Tao, Jan Kautz, Bryan Catanzaro
High-Resolution Image Synthesis and Semantic Manipulation with Conditional GANs. CoRR (2017)