High-Resolution Image Synthesis and Semantic Manipulation With Conditional GANs. - Ting-Chun Wang; Ming-Yu Liu 001; Jun-Yan Zhu; Andrew Tao; Jan Kautz; Bryan Catanzaro (CVPR, 2018)

Image Inpainting for Irregular Holes Using Partial Convolutions. - Guilin Liu; Fitsum A. Reda; Kevin J. Shih; Ting-Chun Wang; Andrew Tao; Bryan Catanzaro (ECCV (11), 2018)

SDC-Net: Video Prediction Using Spatially-Displaced Convolution. - Fitsum A. Reda; Guilin Liu; Kevin J. Shih; Robert Kirby 001; Jon Barker; David Tarjan; Andrew Tao; Bryan Catanzaro (ECCV (7), 2018)

Video-to-Video Synthesis. - Ting-Chun Wang; Ming-Yu Liu 001; Jun-Yan Zhu; Nikolai Yakovenko; Andrew Tao; Jan Kautz; Bryan Catanzaro (NeurIPS, 2018)

Video-to-Video Synthesis. - Ting-Chun Wang; Ming-Yu Liu 001; Jun-Yan Zhu; Guilin Liu; Andrew Tao; Jan Kautz; Bryan Catanzaro (CoRR, 2018)

Introduction to the 1st Place Winning Model of OpenImages Relationship Detection Challenge. - Ji Zhang; Kevin J. Shih; Andrew Tao; Bryan Catanzaro; Ahmed Elgammal (CoRR, 2018)

SDCNet: Video Prediction Using Spatially-Displaced Convolution. - Fitsum A. Reda; Guilin Liu; Kevin J. Shih; Robert Kirby 001; Jon Barker; David Tarjan; Andrew Tao; Bryan Catanzaro (CoRR, 2018)

An Interpretable Model for Scene Graph Generation. - Ji Zhang; Kevin J. Shih; Andrew Tao; Bryan Catanzaro; Ahmed Elgammal (CoRR, 2018)

Partial Convolution based Padding. - Guilin Liu; Kevin J. Shih; Ting-Chun Wang; Fitsum A. Reda; Karan Sapra; Zhiding Yu; Andrew Tao; Bryan Catanzaro (CoRR, 2018)

Improving Semantic Segmentation via Video Propagation and Label Relaxation. - Yi Zhu 001; Karan Sapra; Fitsum A. Reda; Kevin J. Shih; Shawn D. Newsam; Andrew Tao; Bryan Catanzaro (CVPR, 2019)

Graphical Contrastive Losses for Scene Graph Parsing. - Ji Zhang; Kevin J. Shih; Ahmed Elgammal; Andrew Tao; Bryan Catanzaro (CVPR, 2019)

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 (ICCV, 2019)

Few-shot Video-to-Video Synthesis. - Ting-Chun Wang; Ming-Yu Liu 001; Andrew Tao; Guilin Liu; Bryan Catanzaro; Jan Kautz (NeurIPS, 2019)

Graphical Contrastive Losses for Scene Graph Generation. - Ji Zhang; Kevin J. Shih; Ahmed Elgammal; Andrew Tao; Bryan Catanzaro (CoRR, 2019)

Video Interpolation and Prediction with Unsupervised Landmarks. - Kevin J. Shih; Aysegul Dundar; Animesh Garg; Robert Pottorf; Andrew Tao; Bryan Catanzaro (CoRR, 2019)

Neural ODEs for Image Segmentation with Level Sets. - Rafael Valle; Fitsum A. Reda; Mohammad Shoeybi; Patrick LeGresley; Andrew Tao; Bryan Catanzaro (CoRR, 2019)

Panoptic-Based Image Synthesis. - Aysegul Dundar; Karan Sapra; Guilin Liu; Andrew Tao; Bryan Catanzaro (CVPR, 2020)

Neural FFTs for Universal Texture Image Synthesis. - Morteza Mardani; Guilin Liu; Aysegul Dundar; Shiqiu Liu; Andrew Tao; Bryan Catanzaro (NeurIPS, 2020)

Hierarchical Multi-Scale Attention for Semantic Segmentation. - Andrew Tao; Karan Sapra; Bryan Catanzaro (CoRR, 2020)

Transposer: Universal Texture Synthesis Using Feature Maps as Transposed Convolution Filter. - Guilin Liu; Rohan Taori; Ting-Chun Wang; Zhiding Yu; Shiqiu Liu; Fitsum A. Reda; Karan Sapra; Andrew Tao; Bryan Catanzaro (CoRR, 2020)

View Generalization for Single Image Textured 3D Models. - Anand Bhattad; Aysegul Dundar; Guilin Liu; Andrew Tao; Bryan Catanzaro (CVPR, 2021)

Dual Contrastive Loss and Attention for GANs. - Ning Yu 006; Guilin Liu; Aysegul Dundar; Andrew Tao; Bryan Catanzaro; Larry Davis 001; Mario Fritz (ICCV, 2021)

Comparison of Media Sources for COVID-19 by Machine Learning Sentiment Analysis. - Andrew Tao; Kevin Qi; Daniel Che; Mikhail Y. Shalaginov; Tingying Helen Zeng (ISNCC, 2021)

Adaptive Fourier Neural Operators: Efficient Token Mixers for Transformers. - John Guibas; Morteza Mardani; Zongyi Li; Andrew Tao; Anima Anandkumar; Bryan Catanzaro (CoRR, 2021)

Efficient Token Mixing for Transformers via Adaptive Fourier Neural Operators. - John Guibas; Morteza Mardani; Zongyi Li; Andrew Tao; Anima Anandkumar; Bryan Catanzaro (ICLR, 2022)

Leveraging Bitstream Metadata for Fast and Accurate Video Compression Correction. - Max Ehrlich; Jon Barker; Namitha Padmanabhan; Larry Davis 001; Andrew Tao; Bryan Catanzaro; Abhinav Shrivastava (CoRR, 2022)

Unsupervised Disentanglement of Pose, Appearance and Background from Images and Videos. - Aysegul Dundar; Kevin J. Shih; Animesh Garg; Robert Pottorf; Andrew Tao; Bryan Catanzaro (IEEE Trans. Pattern Anal. Mach. Intell., 2022)

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 001; Jia-Bin Huang 001; Ming-Yu Liu 001; Yogesh Balaji (ICCV, 2023)

Investigation of Racial Bias in Property Crime Prediction by Machine Learning Models. - Alexander Li; Mikhail Y. Shalaginov; Andrew Tao; Tingying Helen Zeng (ICMLA, 2023)

VILA: On Pre-training for Visual Language Models. - Ji Lin 002; Hongxu Yin; Wei Ping; Yao Lu 006; Pavlo Molchanov 001; Andrew Tao; Huizi Mao; Jan Kautz; Mohammad Shoeybi; Song Han 003 (CoRR, 2023)

Partial Convolution for Padding, Inpainting, and Image Synthesis. - Guilin Liu; Aysegul Dundar; Kevin J. Shih; Ting-Chun Wang; Fitsum A. Reda; Karan Sapra; Zhiding Yu; Xiaodong Yang 001; Andrew Tao; Bryan Catanzaro (IEEE Trans. Pattern Anal. Mach. Intell., 2023)

Fine Detailed Texture Learning for 3D Meshes With Generative Models. - Aysegul Dundar; Jun Gao; Andrew Tao; Bryan Catanzaro (IEEE Trans. Pattern Anal. Mach. Intell., 2023)

FasterViT: Fast Vision Transformers with Hierarchical Attention. - Ali Hatamizadeh; Greg Heinrich; Hongxu Yin; Andrew Tao; José M. Álvarez 004; Jan Kautz; Pavlo Molchanov 001 (ICLR, 2024)

Leveraging Bitstream Metadata for Fast, Accurate, Generalized Compressed Video Quality Enhancement. - Max Ehrlich; Jon Barker; Namitha Padmanabhan; Larry Davis 001; Andrew Tao; Bryan Catanzaro; Abhinav Shrivastava (WACV, 2024)

X-VILA: Cross-Modality Alignment for Large Language Model. - Hanrong Ye; De-An Huang; Yao Lu 006; Zhiding Yu; Wei Ping; Andrew Tao; Jan Kautz; Song Han 003; Dan Xu 002; Pavlo Molchanov 001; Hongxu Yin (CoRR, 2024)

Wolf: Captioning Everything with a World Summarization Framework. - Boyi Li; Ligeng Zhu; Ran Tian; Shuhan Tan; Yuxiao Chen 008; Yao Lu 006; Yin Cui; Sushant Veer; Max Ehrlich; Jonah Philion; Xinshuo Weng; Fuzhao Xue; et al. (CoRR, 2024)

Eagle: Exploring The Design Space for Multimodal LLMs with Mixture of Encoders. - 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; et al. (CoRR, 2024)

PHI-S: Distribution Balancing for Label-Free Multi-Teacher Distillation. - Mike Ranzinger; Jon Barker; Greg Heinrich; Pavlo Molchanov 001; Bryan Catanzaro; Andrew Tao (CoRR, 2024)

OMCAT: Omni Context Aware Transformer. - Arushi Goel; Karan Sapra; Matthieu Le; Rafael Valle; Andrew Tao; Bryan Catanzaro (CoRR, 2024)

RADIO Amplified: Improved Baselines for Agglomerative Vision Foundation Models. - Greg Heinrich; Mike Ranzinger; Hongxu Yin; Yao Lu 006; Jan Kautz; Andrew Tao; Bryan Catanzaro; Pavlo Molchanov 001 (CoRR, 2024)

Progressive Learning of 3D Reconstruction Network From 2D GAN Data. - Aysegul Dundar; Jun Gao; Andrew Tao; Bryan Catanzaro (IEEE Trans. Pattern Anal. Mach. Intell., 2024)

RADIOv2.5: Improved Baselines for Agglomerative Vision Foundation Models. - Greg Heinrich; Mike Ranzinger; Hongxu Yin; Yao Lu 006; Jan Kautz; Andrew Tao; Bryan Catanzaro; Pavlo Molchanov 001 (CVPR, 2025)

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; et al. (ICLR, 2025)

Eagle 2: Building Post-Training Data Strategies from Scratch for Frontier Vision-Language Models. - Zhiqi Li; Guo Chen 006; Shilong Liu; Shihao Wang; Vibashan VS; Yishen Ji; Shiyi Lan; Hao Zhang 097; Yilin Zhao; Subhashree Radhakrishnan; Nadine Chang; Karan Sapra; et al. (CoRR, 2025)

Éclair - Extracting Content and Layout with Integrated Reading Order for Documents. - Ilia Karmanov; Amala Sanjay Deshmukh; Lukas Voegtle; Philipp Fischer; Kateryna Chumachenko; Timo Roman; Jarno Seppänen; Jupinder Parmar; Joseph Jennings; Andrew Tao; Karan Sapra (CoRR, 2025)

AIDE: Agentically Improve Visual Language Model with Domain Experts. - Ming-Chang Chiu; Fuxiao Liu; Karan Sapra; Andrew Tao; Yaser Jacoob; Xuezhe Ma; Zhiding Yu; Guilin Liu (CoRR, 2025)

FeatSharp: Your Vision Model Features, Sharper. - Mike Ranzinger; Greg Heinrich; Pavlo Molchanov 001; Jan Kautz; Bryan Catanzaro; Andrew Tao (CoRR, 2025)

Nemotron-H: A Family of Accurate and Efficient Hybrid Mamba-Transformer Models. - Aaron Blakeman; Aarti Basant; Abhinav Khattar; Adithya Renduchintala; Akhiad Bercovich; Aleksander Ficek; Alexis Bjorlin; Ali Taghibakhshi; Amala Sanjay Deshmukh; Ameya Sunil Mahabaleshwarkar; Andrew Tao; Anna Shors; et al. (CoRR, 2025)

Eagle 2.5: Boosting Long-Context Post-Training for Frontier Vision-Language Models. - Guo Chen 006; Zhiqi Li; Shihao Wang; Jindong Jiang; Yicheng Liu; Lidong Lu; De-An Huang; Wonmin Byeon; Matthieu Le; Tuomas Rintamaki; Tyler Poon; Max Ehrlich; et al. (CoRR, 2025)

Nemotron-Research-Tool-N1: Exploring Tool-Using Language Models with Reinforced Reasoning. - Shaokun Zhang; Yi Dong; Jieyu Zhang 001; Jan Kautz; Bryan Catanzaro; Andrew Tao; Qingyun Wu; Zhiding Yu; Guilin Liu (CoRR, 2025)

NVIDIA Nemotron Nano 2: An Accurate and Efficient Hybrid Mamba-Transformer Reasoning Model. - Aarti Basant; Abhijit Khairnar; Abhijit Paithankar; Abhinav Khattar; Adithya Renduchintala; Aditya Malte; Akhiad Bercovich; Akshay Hazare; Alejandra Rico; Aleksander Ficek; Alex Kondratenko; Alex Shaposhnikov; et al. (CoRR, 2025)