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2020 – today
- 2024
[j4]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): 793-804 (2024)- [c18]Ali Hatamizadeh, Greg Heinrich, Hongxu Yin, Andrew Tao, José M. Álvarez, Jan Kautz, Pavlo Molchanov:
FasterViT: Fast Vision Transformers with Hierarchical Attention. ICLR 2024 - [c17]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: 1506-1516 - [i30]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 abs/2405.19335 (2024) - [i29]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 abs/2407.18908 (2024) - [i28]Min Shi, Fuxiao Liu, Shihao Wang, Shijia Liao, Subhashree Radhakrishnan, De-An Huang, Hongxu Yin, Karan Sapra, Yaser Yacoob, Humphrey Shi, Bryan Catanzaro, Andrew Tao, Jan Kautz, Zhiding Yu, Guilin Liu:
Eagle: Exploring The Design Space for Multimodal LLMs with Mixture of Encoders. CoRR abs/2408.15998 (2024) - [i27]Mike Ranzinger, Jon Barker, Greg Heinrich, Pavlo Molchanov, Bryan Catanzaro, Andrew Tao:
PHI-S: Distribution Balancing for Label-Free Multi-Teacher Distillation. CoRR abs/2410.01680 (2024) - 2023
- [j3]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): 6096-6110 (2023) - [j2]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): 14563-14574 (2023) - [c16]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: 22873-22884 - [c15]Alexander Li, Mikhail Y. Shalaginov, Andrew Tao, Tingying Helen Zeng:
Investigation of Racial Bias in Property Crime Prediction by Machine Learning Models. ICMLA 2023: 2253-2256 - [i26]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 abs/2305.10474 (2023) - [i25]Aysegul Dundar, Jun Gao, Andrew Tao, Bryan Catanzaro:
Progressive Learning of 3D Reconstruction Network from 2D GAN Data. CoRR abs/2305.11102 (2023) - [i24]Ali Hatamizadeh, Greg Heinrich, Hongxu Yin, Andrew Tao, José M. Álvarez, Jan Kautz, Pavlo Molchanov:
FasterViT: Fast Vision Transformers with Hierarchical Attention. CoRR abs/2306.06189 (2023) - [i23]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 abs/2312.07533 (2023) - 2022
- [j1]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): 3883-3894 (2022) - [c14]John Guibas, Morteza Mardani, Zongyi Li, Andrew Tao, Anima Anandkumar, Bryan Catanzaro:
Efficient Token Mixing for Transformers via Adaptive Fourier Neural Operators. ICLR 2022 - [i22]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 abs/2202.00011 (2022) - [i21]Aysegul Dundar, Jun Gao, Andrew Tao, Bryan Catanzaro:
Fine Detailed Texture Learning for 3D Meshes with Generative Models. CoRR abs/2203.09362 (2022) - 2021
- [c13]Anand Bhattad, Aysegul Dundar, Guilin Liu, Andrew Tao, Bryan Catanzaro:
View Generalization for Single Image Textured 3D Models. CVPR 2021: 6081-6090 - [c12]Ning Yu, Guilin Liu, Aysegul Dundar, Andrew Tao, Bryan Catanzaro, Larry Davis, Mario Fritz:
Dual Contrastive Loss and Attention for GANs. ICCV 2021: 6711-6722 - [c11]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: 1-4 - [i20]Ning Yu, Guilin Liu, Aysegul Dundar, Andrew Tao, Bryan Catanzaro, Larry Davis, Mario Fritz:
Dual Contrastive Loss and Attention for GANs. CoRR abs/2103.16748 (2021) - [i19]Anand Bhattad, Aysegul Dundar, Guilin Liu, Andrew Tao, Bryan Catanzaro:
View Generalization for Single Image Textured 3D Models. CoRR abs/2106.06533 (2021) - [i18]John Guibas, Morteza Mardani, Zongyi Li, Andrew Tao, Anima Anandkumar, Bryan Catanzaro:
Adaptive Fourier Neural Operators: Efficient Token Mixers for Transformers. CoRR abs/2111.13587 (2021) - 2020
- [c10]Aysegul Dundar, Karan Sapra, Guilin Liu, Andrew Tao, Bryan Catanzaro:
Panoptic-Based Image Synthesis. CVPR 2020: 8067-8076 - [c9]Morteza Mardani, Guilin Liu, Aysegul Dundar, Shiqiu Liu, Andrew Tao, Bryan Catanzaro:
Neural FFTs for Universal Texture Image Synthesis. NeurIPS 2020 - [i17]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 abs/2001.09518 (2020) - [i16]Aysegul Dundar, Karan Sapra, Guilin Liu, Andrew Tao, Bryan Catanzaro:
Panoptic-based Image Synthesis. CoRR abs/2004.10289 (2020) - [i15]Andrew Tao, Karan Sapra, Bryan Catanzaro:
Hierarchical Multi-Scale Attention for Semantic Segmentation. CoRR abs/2005.10821 (2020) - [i14]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 abs/2007.07243 (2020)
2010 – 2019
- 2019
- [c8]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: 8856-8865 - [c7]Ji Zhang, Kevin J. Shih, Ahmed Elgammal, Andrew Tao, Bryan Catanzaro:
Graphical Contrastive Losses for Scene Graph Parsing. CVPR 2019: 11535-11543 - [c6]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: 892-900 - [c5]Ting-Chun Wang, Ming-Yu Liu, Andrew Tao, Guilin Liu, Bryan Catanzaro, Jan Kautz:
Few-shot Video-to-Video Synthesis. NeurIPS 2019: 5014-5025 - [i13]Ji Zhang, Kevin J. Shih, Ahmed Elgammal, Andrew Tao, Bryan Catanzaro:
Graphical Contrastive Losses for Scene Graph Generation. CoRR abs/1903.02728 (2019) - [i12]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 abs/1906.05928 (2019) - [i11]Kevin J. Shih, Aysegul Dundar, Animesh Garg, Robert Pottorf, Andrew Tao, Bryan Catanzaro:
Video Interpolation and Prediction with Unsupervised Landmarks. CoRR abs/1909.02749 (2019) - [i10]Ting-Chun Wang, Ming-Yu Liu, Andrew Tao, Guilin Liu, Jan Kautz, Bryan Catanzaro:
Few-shot Video-to-Video Synthesis. CoRR abs/1910.12713 (2019) - [i9]Rafael Valle, Fitsum A. Reda, Mohammad Shoeybi, Patrick LeGresley, Andrew Tao, Bryan Catanzaro:
Neural ODEs for Image Segmentation with Level Sets. CoRR abs/1912.11683 (2019) - 2018
- [c4]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: 8798-8807 - [c3]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: 89-105 - [c2]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: 747-763 - [c1]Ting-Chun Wang, Ming-Yu Liu, Jun-Yan Zhu, Nikolai Yakovenko, Andrew Tao, Jan Kautz, Bryan Catanzaro:
Video-to-Video Synthesis. NeurIPS 2018: 1152-1164 - [i8]Guilin Liu, Fitsum A. Reda, Kevin J. Shih, Ting-Chun Wang, Andrew Tao, Bryan Catanzaro:
Image Inpainting for Irregular Holes Using Partial Convolutions. CoRR abs/1804.07723 (2018) - [i7]Ting-Chun Wang, Ming-Yu Liu, Jun-Yan Zhu, Guilin Liu, Andrew Tao, Jan Kautz, Bryan Catanzaro:
Video-to-Video Synthesis. CoRR abs/1808.06601 (2018) - [i6]Ji Zhang, Kevin J. Shih, Andrew Tao, Bryan Catanzaro, Ahmed Elgammal:
Introduction to the 1st Place Winning Model of OpenImages Relationship Detection Challenge. CoRR abs/1811.00662 (2018) - [i5]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 abs/1811.00684 (2018) - [i4]Ji Zhang, Kevin J. Shih, Andrew Tao, Bryan Catanzaro, Ahmed Elgammal:
An Interpretable Model for Scene Graph Generation. CoRR abs/1811.09543 (2018) - [i3]Guilin Liu, Kevin J. Shih, Ting-Chun Wang, Fitsum A. Reda, Karan Sapra, Zhiding Yu, Andrew Tao, Bryan Catanzaro:
Partial Convolution based Padding. CoRR abs/1811.11718 (2018) - [i2]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 abs/1812.01593 (2018) - 2017
- [i1]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 abs/1711.11585 (2017)
Coauthor Index
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last updated on 2024-11-19 20:50 CET by the dblp team
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