Andrew Tao
Publication record assembled from the DBLP archive of ranked conferences.
Papers indexed
18
Venues
8
Active years
2018–2025
Best venue rank
A*
Where they publish
Papers
18 indexed papers, newest first.
| Year | Venue | Title | Authors |
|---|---|---|---|
| 2025 | CVPR | RADIOv2.5: Improved Baselines for Agglomerative Vision Foundation Models. | Greg Heinrich, Mike Ranzinger, Hongxu Yin, Yao Lu, Jan Kautz, Andrew Tao, Bryan Catanzaro, Pavlo Molchanov |
| 2025 | ICLR | Eagle: Exploring The Design Space for Multimodal LLMs with Mixture of Encoders. | Min Shi, Fuxiao Liu, Shihao Wang, Shijia Liao, Subhashree Radhakrishnan, Yilin Zhao, De-An Huang, Hongxu Yin, Karan Sapra, Yaser Yacoob, Humphrey Shi, Bryan Catanzaro, Andrew Tao, Jan Kautz, Zhiding Yu, Guilin Liu |
| 2025 | ICML | FeatSharp: Your Vision Model Features, Sharper. | Mike Ranzinger, Greg Heinrich, Pavlo Molchanov, Bryan Catanzaro, Andrew Tao |
| 2024 | ICLR | FasterViT: Fast Vision Transformers with Hierarchical Attention. | Ali Hatamizadeh, Greg Heinrich, Hongxu Yin, Andrew Tao, Jos M. lvarez, Jan Kautz, Pavlo Molchanov |
| 2024 | WACV | Leveraging Bitstream Metadata for Fast, Accurate, Generalized Compressed Video Quality Enhancement. | Max Ehrlich, Jon Barker, Namitha Padmanabhan, Larry Davis, Andrew Tao, Bryan Catanzaro, Abhinav Shrivastava |
| 2023 | ICCV | Preserve Your Own Correlation: A Noise Prior for Video Diffusion Models. | Songwei Ge, Seungjun Nah, Guilin Liu, Tyler Poon, Andrew Tao, Bryan Catanzaro, David Jacobs, Jia-Bin Huang, Ming-Yu Liu, Yogesh Balaji |
| 2023 | ICMLA | Investigation of Racial Bias in Property Crime Prediction by Machine Learning Models. | Alexander Li, Mikhail Y. Shalaginov, Andrew Tao, Tingying Helen Zeng |
| 2022 | ICLR | Efficient Token Mixing for Transformers via Adaptive Fourier Neural Operators. | John Guibas, Morteza Mardani, Zongyi Li, Andrew Tao, Anima Anandkumar, Bryan Catanzaro |
| 2021 | CVPR | View Generalization for Single Image Textured 3D Models. | Anand Bhattad, Aysegul Dundar, Guilin Liu, Andrew Tao, Bryan Catanzaro |
| 2021 | ICCV | Dual Contrastive Loss and Attention for GANs. | Ning Yu, Guilin Liu, Aysegul Dundar, Andrew Tao, Bryan Catanzaro, Larry Davis, Mario Fritz |
| 2021 | ISNCC | Comparison of Media Sources for COVID-19 by Machine Learning Sentiment Analysis. | Andrew Tao, Kevin Qi, Daniel Che, Mikhail Y. Shalaginov, Tingying Helen Zeng |
| 2020 | CVPR | Panoptic-Based Image Synthesis. | Aysegul Dundar, Karan Sapra, Guilin Liu, Andrew Tao, Bryan Catanzaro |
| 2019 | CVPR | Improving Semantic Segmentation via Video Propagation and Label Relaxation. | Yi Zhu, Karan Sapra, Fitsum A. Reda, Kevin J. Shih, Shawn D. Newsam, Andrew Tao, Bryan Catanzaro |
| 2019 | CVPR | Graphical Contrastive Losses for Scene Graph Parsing. | Ji Zhang, Kevin J. Shih, Ahmed Elgammal, Andrew Tao, Bryan Catanzaro |
| 2019 | ICCV | Unsupervised Video Interpolation Using Cycle Consistency. | Fitsum A. Reda, Deqing Sun, Aysegul Dundar, Mohammad Shoeybi, Guilin Liu, Kevin J. Shih, Andrew Tao, Jan Kautz, Bryan Catanzaro |
| 2018 | CVPR | High-Resolution Image Synthesis and Semantic Manipulation With Conditional GANs. | Ting-Chun Wang, Ming-Yu Liu, Jun-Yan Zhu, Andrew Tao, Jan Kautz, Bryan Catanzaro |
| 2018 | ECCV | Image Inpainting for Irregular Holes Using Partial Convolutions. | Guilin Liu, Fitsum A. Reda, Kevin J. Shih, Ting-Chun Wang, Andrew Tao, Bryan Catanzaro |
| 2018 | ECCV | SDC-Net: Video Prediction Using Spatially-Displaced Convolution. | Fitsum A. Reda, Guilin Liu, Kevin J. Shih, Robert Kirby, Jon Barker, David Tarjan, Andrew Tao, Bryan Catanzaro |