Andrew Tao

71 papers A* 16A 1C 2Journal 50Unranked 2
YearRankTypeTitle / Venue / Authors
2026 J jnl
C-RADIOv4 (Tech Report).
CoRR
Mike Ranzinger, Greg Heinrich, Collin McCarthy, Jan Kautz, Andrew Tao, Bryan Catanzaro, Pavlo Molchanov
2026 J jnl
MMOU: A Massive Multi-Task Omni Understanding and Reasoning Benchmark for Long and Complex Real-World Videos.
CoRR
Arushi Goel, Sreyan Ghosh, Vatsal Agarwal, Nishit Anand, Kaousheik Jayakumar, Lasha Koroshinadze, Yao Xu, Katie Lyons, James Case, Karan Sapra, Kevin J. Shih, Siddharth Gururani, Abhinav Shrivastava, Ramani Duraiswami, Dinesh Manocha, Andrew Tao, Bryan Catanzaro, Mohammad Shoeybi, Wei Ping
2026 J jnl
Stateful Token Reduction for Long-Video Hybrid VLMs.
CoRR
Jindong Jiang, Amala Sanjay Deshmukh, Kateryna Chumachenko, Karan Sapra, Zhiding Yu, Guilin Liu, Andrew Tao, Pavlo Molchanov, Jan Kautz, Wonmin Byeon
2026 J jnl
Towards Multimodal Lifelong Understanding: A Dataset and Agentic Baseline.
CoRR
Guo Chen, Lidong Lu, Yicheng Liu, Liangrui Dong, Lidong Zou, Jixin Lv, Zhenquan Li, Xinyi Mao, Baoqi Pei, Shihao Wang, Zhiqi Li, Karan Sapra, Fuxiao Liu, Yin-Dong Zheng, Yifei Huang, Limin Wang, Zhiding Yu, Andrew Tao, Guilin Liu, Tong Lu
2025 J jnl
AIDE: Agentically Improve Visual Language Model with Domain Experts.
CoRR
Ming-Chang Chiu, Fuxiao Liu, Karan Sapra, Andrew Tao, Yaser Jacoob, Xuezhe Ma, Zhiding Yu, Guilin Liu
2025 J jnl
Eagle 2.5: Boosting Long-Context Post-Training for Frontier Vision-Language Models.
CoRR
Guo Chen, Zhiqi Li, Shihao Wang, Jindong Jiang, Yicheng Liu, Lidong Lu, De-An Huang, Wonmin Byeon, Matthieu Le, Tuomas Rintamaki, Tyler Poon, Max Ehrlich, Tong Lu, Limin Wang, Bryan Catanzaro, Jan Kautz, Andrew Tao, Zhiding Yu, Guilin Liu
2025 J jnl
Eagle 2: Building Post-Training Data Strategies from Scratch for Frontier Vision-Language Models.
CoRR
Zhiqi Li, Guo Chen, Shilong Liu, Shihao Wang, Vibashan VS, Yishen Ji, Shiyi Lan, Hao Zhang, Yilin Zhao, Subhashree Radhakrishnan, Nadine Chang, Karan Sapra, Amala Sanjay Deshmukh, Tuomas Rintamaki, Matthieu Le, Ilia Karmanov, Lukas Voegtle, Philipp Fischer, De-An Huang, Timo Roman, Tong Lu, José M. Álvarez, Bryan Catanzaro, Jan Kautz, Andrew Tao, Guilin Liu, Zhiding Yu
2025 A* conf
Eagle: Exploring The Design Space for Multimodal LLMs with Mixture of Encoders.
ICLR
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 J jnl
Efficient Video Sampling: Pruning Temporally Redundant Tokens for Faster VLM Inference.
CoRR
Natan Bagrov, Eugene Khvedchenia, Borys Tymchenko, Shay Aharon, Lior Kadoch, Tomer Keren, Ofri Masad, Yonatan Geifman, Ran Zilberstein, Tuomas Rintamaki, Matthieu Le, Andrew Tao
2025 A* conf
FeatSharp: Your Vision Model Features, Sharper.
ICML
Mike Ranzinger, Greg Heinrich, Pavlo Molchanov, Bryan Catanzaro, Andrew Tao
2025 J jnl
FeatSharp: Your Vision Model Features, Sharper.
CoRR
Mike Ranzinger, Greg Heinrich, Pavlo Molchanov, Jan Kautz, Bryan Catanzaro, Andrew Tao
2025 J jnl
NVIDIA Nemotron Parse 1.1.
CoRR
Kateryna Chumachenko, Amala Sanjay Deshmukh, Jarno Seppänen, Ilia Karmanov, Chia-Chih Chen, Lukas Voegtle, Philipp Fischer, Marek Wawrzos, Saeid Motiian, Roman Ageev, Kedi Wu, Alexandre Milesi, Maryam Moosaei, Krzysztof Pawelec, Padmavathy Subramanian, Mehrzad Samadi, Xin-Yu Wang, Celina Dear, Sarah Stoddard, Jenna Diamond, Jesse Oliver, Leanna Chraghchian, Patrick Skelly, Tom Balough, Yao Xu, Jane Polak Scowcroft, Daniel Korzekwa, Darragh Hanley, Sandip Bhaskar, Timo Roman, Karan Sapra, Andrew Tao, Bryan Catanzaro
2025 J jnl
Nemotron-Research-Tool-N1: Exploring Tool-Using Language Models with Reinforced Reasoning.
CoRR
Shaokun Zhang, Yi Dong, Jieyu Zhang, Jan Kautz, Bryan Catanzaro, Andrew Tao, Qingyun Wu, Zhiding Yu, Guilin Liu
2025 J jnl
OmniVinci: Enhancing Architecture and Data for Omni-Modal Understanding LLM.
CoRR
Hanrong Ye, Chao-Han Huck Yang, Arushi Goel, Wei Huang, Ligeng Zhu, Yuanhang Su, Sean Lin, An-Chieh Cheng, Zhen Wan, Jinchuan Tian, Yuming Lou, Dong Yang, Zhijian Liu, Yukang Chen, Ambrish Dantrey, Ehsan Jahangiri, Sreyan Ghosh, Daguang Xu, Ehsan Hosseini-Asl, Danial Mohseni-Taheri, Vidya Murali, Sifei Liu, Yao Lu, Oluwatobi Olabiyi, Yu-Chiang Frank Wang, Rafael Valle, Bryan Catanzaro, Andrew Tao, Song Han, Jan Kautz, Hongxu Yin, Pavlo Molchanov
2025 A* conf
RADIOv2.5: Improved Baselines for Agglomerative Vision Foundation Models.
CVPR
Greg Heinrich, Mike Ranzinger, Hongxu Yin, Yao Lu, Jan Kautz, Andrew Tao, Bryan Catanzaro, Pavlo Molchanov
2025 J jnl
Wolf: Dense Video Captioning with a World Summarization Framework.
Trans. Mach. Learn. Res.
Boyi Li, Ligeng Zhu, Ran Tian, Shuhan Tan, Yuxiao Chen, Yao Lu, Yin Cui, Sushant Veer, Max Ehrlich, Jonah Philion, Xinshuo Weng, Fuzhao Xue, Linxi Fan, Yuke Zhu, Jan Kautz, Andrew Tao, Ming-Yu Liu, Sanja Fidler, Boris Ivanovic, Trevor Darrell, Jitendra Malik, Song Han, Marco Pavone
2025 J jnl
Éclair - Extracting Content and Layout with Integrated Reading Order for Documents.
CoRR
Ilia Karmanov, Amala Sanjay Deshmukh, Lukas Voegtle, Philipp Fischer, Kateryna Chumachenko, Timo Roman, Jarno Seppänen, Jupinder Parmar, Joseph Jennings, Andrew Tao, Karan Sapra
2024 J jnl
Eagle: Exploring The Design Space for Multimodal LLMs with Mixture of Encoders.
CoRR
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
2024 A* conf
FasterViT: Fast Vision Transformers with Hierarchical Attention.
ICLR
Ali Hatamizadeh, Greg Heinrich, Hongxu Yin, Andrew Tao, José M. Álvarez, Jan Kautz, Pavlo Molchanov
2024 A conf
Leveraging Bitstream Metadata for Fast, Accurate, Generalized Compressed Video Quality Enhancement.
WACV
Max Ehrlich, Jon Barker, Namitha Padmanabhan, Larry Davis, Andrew Tao, Bryan Catanzaro, Abhinav Shrivastava
2024 J jnl
OMCAT: Omni Context Aware Transformer.
CoRR
Arushi Goel, Karan Sapra, Matthieu Le, Rafael Valle, Andrew Tao, Bryan Catanzaro
2024 J jnl
PHI-S: Distribution Balancing for Label-Free Multi-Teacher Distillation.
CoRR
Mike Ranzinger, Jon Barker, Greg Heinrich, Pavlo Molchanov, Bryan Catanzaro, Andrew Tao
2024 J jnl
Progressive Learning of 3D Reconstruction Network From 2D GAN Data.
IEEE Trans. Pattern Anal. Mach. Intell.
Aysegul Dundar, Jun Gao, Andrew Tao, Bryan Catanzaro
2024 J jnl
RADIO Amplified: Improved Baselines for Agglomerative Vision Foundation Models.
CoRR
Greg Heinrich, Mike Ranzinger, Hongxu Yin, Yao Lu, Jan Kautz, Andrew Tao, Bryan Catanzaro, Pavlo Molchanov
2024 J jnl
Wolf: Captioning Everything with a World Summarization Framework.
CoRR
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
2024 J jnl
X-VILA: Cross-Modality Alignment for Large Language Model.
CoRR
Hanrong Ye, De-An Huang, Yao Lu, Zhiding Yu, Wei Ping, Andrew Tao, Jan Kautz, Song Han, Dan Xu, Pavlo Molchanov, Hongxu Yin
2023 J jnl
FasterViT: Fast Vision Transformers with Hierarchical Attention.
CoRR
Ali Hatamizadeh, Greg Heinrich, Hongxu Yin, Andrew Tao, José M. Álvarez, Jan Kautz, Pavlo Molchanov
2023 J jnl
Fine Detailed Texture Learning for 3D Meshes With Generative Models.
IEEE Trans. Pattern Anal. Mach. Intell.
Aysegul Dundar, Jun Gao, Andrew Tao, Bryan Catanzaro
2023 C conf
Investigation of Racial Bias in Property Crime Prediction by Machine Learning Models.
ICMLA
Alexander Li, Mikhail Y. Shalaginov, Andrew Tao, Tingying Helen Zeng
2023 J jnl
Partial Convolution for Padding, Inpainting, and Image Synthesis.
IEEE Trans. Pattern Anal. Mach. Intell.
Guilin Liu, Aysegul Dundar, Kevin J. Shih, Ting-Chun Wang, Fitsum A. Reda, Karan Sapra, Zhiding Yu, Xiaodong Yang, Andrew Tao, Bryan Catanzaro
2023 A* conf
Preserve Your Own Correlation: A Noise Prior for Video Diffusion Models.
ICCV
Songwei Ge, Seungjun Nah, Guilin Liu, Tyler Poon, Andrew Tao, Bryan Catanzaro, David Jacobs, Jia-Bin Huang, Ming-Yu Liu, Yogesh Balaji
2023 J jnl
Preserve Your Own Correlation: A Noise Prior for Video Diffusion Models.
CoRR
Songwei Ge, Seungjun Nah, Guilin Liu, Tyler Poon, Andrew Tao, Bryan Catanzaro, David Jacobs, Jia-Bin Huang, Ming-Yu Liu, Yogesh Balaji
2023 J jnl
Progressive Learning of 3D Reconstruction Network from 2D GAN Data.
CoRR
Aysegul Dundar, Jun Gao, Andrew Tao, Bryan Catanzaro
2023 J jnl
VILA: On Pre-training for Visual Language Models.
CoRR
Ji Lin, Hongxu Yin, Wei Ping, Yao Lu, Pavlo Molchanov, Andrew Tao, Huizi Mao, Jan Kautz, Mohammad Shoeybi, Song Han
2022 A* conf
Efficient Token Mixing for Transformers via Adaptive Fourier Neural Operators.
ICLR
John Guibas, Morteza Mardani, Zongyi Li, Andrew Tao, Anima Anandkumar, Bryan Catanzaro
2022 J jnl
Fine Detailed Texture Learning for 3D Meshes with Generative Models.
CoRR
Aysegul Dundar, Jun Gao, Andrew Tao, Bryan Catanzaro
2022 J jnl
Leveraging Bitstream Metadata for Fast and Accurate Video Compression Correction.
CoRR
Max Ehrlich, Jon Barker, Namitha Padmanabhan, Larry Davis, Andrew Tao, Bryan Catanzaro, Abhinav Shrivastava
2022 J jnl
Unsupervised Disentanglement of Pose, Appearance and Background from Images and Videos.
IEEE Trans. Pattern Anal. Mach. Intell.
Aysegul Dundar, Kevin J. Shih, Animesh Garg, Robert Pottorf, Andrew Tao, Bryan Catanzaro
2021 J jnl
Adaptive Fourier Neural Operators: Efficient Token Mixers for Transformers.
CoRR
John Guibas, Morteza Mardani, Zongyi Li, Andrew Tao, Anima Anandkumar, Bryan Catanzaro
2021 C conf
Comparison of Media Sources for COVID-19 by Machine Learning Sentiment Analysis.
ISNCC
Andrew Tao, Kevin Qi, Daniel Che, Mikhail Y. Shalaginov, Tingying Helen Zeng
2021 A* conf
Dual Contrastive Loss and Attention for GANs.
ICCV
Ning Yu, Guilin Liu, Aysegul Dundar, Andrew Tao, Bryan Catanzaro, Larry Davis, Mario Fritz
2021 J jnl
Dual Contrastive Loss and Attention for GANs.
CoRR
Ning Yu, Guilin Liu, Aysegul Dundar, Andrew Tao, Bryan Catanzaro, Larry Davis, Mario Fritz
2021 A* conf
View Generalization for Single Image Textured 3D Models.
CVPR
Anand Bhattad, Aysegul Dundar, Guilin Liu, Andrew Tao, Bryan Catanzaro
2021 J jnl
View Generalization for Single Image Textured 3D Models.
CoRR
Anand Bhattad, Aysegul Dundar, Guilin Liu, Andrew Tao, Bryan Catanzaro
2020 J jnl
Hierarchical Multi-Scale Attention for Semantic Segmentation.
CoRR
Andrew Tao, Karan Sapra, Bryan Catanzaro
2020 A* conf
Neural FFTs for Universal Texture Image Synthesis.
NeurIPS
Morteza Mardani, Guilin Liu, Aysegul Dundar, Shiqiu Liu, Andrew Tao, Bryan Catanzaro
2020 A* conf
Panoptic-Based Image Synthesis.
CVPR
Aysegul Dundar, Karan Sapra, Guilin Liu, Andrew Tao, Bryan Catanzaro
2020 J jnl
Panoptic-based Image Synthesis.
CoRR
Aysegul Dundar, Karan Sapra, Guilin Liu, Andrew Tao, Bryan Catanzaro
2020 J jnl
Transposer: Universal Texture Synthesis Using Feature Maps as Transposed Convolution Filter.
CoRR
Guilin Liu, Rohan Taori, Ting-Chun Wang, Zhiding Yu, Shiqiu Liu, Fitsum A. Reda, Karan Sapra, Andrew Tao, Bryan Catanzaro
2020 J jnl
Unsupervised Disentanglement of Pose, Appearance and Background from Images and Videos.
CoRR
Aysegul Dundar, Kevin J. Shih, Animesh Garg, Robert Pottorf, Andrew Tao, Bryan Catanzaro
2019 A* conf
Few-shot Video-to-Video Synthesis.
NeurIPS
Ting-Chun Wang, Ming-Yu Liu, Andrew Tao, Guilin Liu, Bryan Catanzaro, Jan Kautz
2019 J jnl
Few-shot Video-to-Video Synthesis.
CoRR
Ting-Chun Wang, Ming-Yu Liu, Andrew Tao, Guilin Liu, Jan Kautz, Bryan Catanzaro
2019 J jnl
Graphical Contrastive Losses for Scene Graph Generation.
CoRR
Ji Zhang, Kevin J. Shih, Ahmed Elgammal, Andrew Tao, Bryan Catanzaro
2019 A* conf
Graphical Contrastive Losses for Scene Graph Parsing.
CVPR
Ji Zhang, Kevin J. Shih, Ahmed Elgammal, Andrew Tao, Bryan Catanzaro
2019 A* conf
Improving Semantic Segmentation via Video Propagation and Label Relaxation.
CVPR
Yi Zhu, Karan Sapra, Fitsum A. Reda, Kevin J. Shih, Shawn D. Newsam, Andrew Tao, Bryan Catanzaro
2019 J jnl
Neural ODEs for Image Segmentation with Level Sets.
CoRR
Rafael Valle, Fitsum A. Reda, Mohammad Shoeybi, Patrick LeGresley, Andrew Tao, Bryan Catanzaro
2019 A* conf
Unsupervised Video Interpolation Using Cycle Consistency.
ICCV
Fitsum A. Reda, Deqing Sun, Aysegul Dundar, Mohammad Shoeybi, Guilin Liu, Kevin J. Shih, Andrew Tao, Jan Kautz, Bryan Catanzaro
2019 J jnl
Unsupervised Video Interpolation Using Cycle Consistency.
CoRR
Fitsum A. Reda, Deqing Sun, Aysegul Dundar, Mohammad Shoeybi, Guilin Liu, Kevin J. Shih, Andrew Tao, Jan Kautz, Bryan Catanzaro
2019 J jnl
Video Interpolation and Prediction with Unsupervised Landmarks.
CoRR
Kevin J. Shih, Aysegul Dundar, Animesh Garg, Robert Pottorf, Andrew Tao, Bryan Catanzaro
2018 J jnl
An Interpretable Model for Scene Graph Generation.
CoRR
Ji Zhang, Kevin J. Shih, Andrew Tao, Bryan Catanzaro, Ahmed Elgammal
2018 A* conf
High-Resolution Image Synthesis and Semantic Manipulation With Conditional GANs.
CVPR
Ting-Chun Wang, Ming-Yu Liu, Jun-Yan Zhu, Andrew Tao, Jan Kautz, Bryan Catanzaro
2018 — conf
Image Inpainting for Irregular Holes Using Partial Convolutions.
ECCV (11)
Guilin Liu, Fitsum A. Reda, Kevin J. Shih, Ting-Chun Wang, Andrew Tao, Bryan Catanzaro
2018 J jnl
Image Inpainting for Irregular Holes Using Partial Convolutions.
CoRR
Guilin Liu, Fitsum A. Reda, Kevin J. Shih, Ting-Chun Wang, Andrew Tao, Bryan Catanzaro
2018 J jnl
Improving Semantic Segmentation via Video Propagation and Label Relaxation.
CoRR
Yi Zhu, Karan Sapra, Fitsum A. Reda, Kevin J. Shih, Shawn D. Newsam, Andrew Tao, Bryan Catanzaro
2018 J jnl
Introduction to the 1st Place Winning Model of OpenImages Relationship Detection Challenge.
CoRR
Ji Zhang, Kevin J. Shih, Andrew Tao, Bryan Catanzaro, Ahmed Elgammal
2018 J jnl
Partial Convolution based Padding.
CoRR
Guilin Liu, Kevin J. Shih, Ting-Chun Wang, Fitsum A. Reda, Karan Sapra, Zhiding Yu, Andrew Tao, Bryan Catanzaro
2018 — conf
SDC-Net: Video Prediction Using Spatially-Displaced Convolution.
ECCV (7)
Fitsum A. Reda, Guilin Liu, Kevin J. Shih, Robert Kirby, Jon Barker, David Tarjan, Andrew Tao, Bryan Catanzaro
2018 J jnl
SDCNet: Video Prediction Using Spatially-Displaced Convolution.
CoRR
Fitsum A. Reda, Guilin Liu, Kevin J. Shih, Robert Kirby, Jon Barker, David Tarjan, Andrew Tao, Bryan Catanzaro
2018 A* conf
Video-to-Video Synthesis.
NeurIPS
Ting-Chun Wang, Ming-Yu Liu, Jun-Yan Zhu, Nikolai Yakovenko, Andrew Tao, Jan Kautz, Bryan Catanzaro
2018 J jnl
Video-to-Video Synthesis.
CoRR
Ting-Chun Wang, Ming-Yu Liu, Jun-Yan Zhu, Guilin Liu, Andrew Tao, Jan Kautz, Bryan Catanzaro
2017 J jnl
High-Resolution Image Synthesis and Semantic Manipulation with Conditional GANs.
CoRR
Ting-Chun Wang, Ming-Yu Liu, Jun-Yan Zhu, Andrew Tao, Jan Kautz, Bryan Catanzaro