Andrew Tao

8.6k total citations · 1 hit paper
11 papers, 2.8k citations indexed

About

Andrew Tao is a scholar working on Computer Vision and Pattern Recognition, Strategy and Management and Signal Processing. According to data from OpenAlex, Andrew Tao has authored 11 papers receiving a total of 2.8k indexed citations (citations by other indexed papers that have themselves been cited), including 10 papers in Computer Vision and Pattern Recognition, 1 paper in Strategy and Management and 1 paper in Signal Processing. Recurrent topics in Andrew Tao's work include Generative Adversarial Networks and Image Synthesis (5 papers), Advanced Vision and Imaging (2 papers) and Multimodal Machine Learning Applications (2 papers). Andrew Tao is often cited by papers focused on Generative Adversarial Networks and Image Synthesis (5 papers), Advanced Vision and Imaging (2 papers) and Multimodal Machine Learning Applications (2 papers). Andrew Tao collaborates with scholars based in United States, United Kingdom and Türkiye. Andrew Tao's co-authors include Bryan Catanzaro, Ming-Yu Liu, Ting-Chun Wang, Jun-Yan Zhu, Jan Kautz, Kevin J. Shih, Fitsum A. Reda, Karan Sapra, Shawn Newsam and Yi Zhu and has published in prestigious journals such as IEEE Transactions on Pattern Analysis and Machine Intelligence, 2021 IEEE/CVF International Conference on Computer Vision (ICCV) and arXiv (Cornell University).

In The Last Decade

Andrew Tao

9 papers receiving 2.7k citations

Hit Papers

align trajectories

What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the same subfield and year (this is the minimum needed to enter the top 1%, not the average within it), or reaches the top citation threshold in at least one of its specific research topics.

High-Resolution Image Synthesis and Semantic Manipulation with Conditional GANs

2018 2.4k citations Ting-Chun Wang, Ming-Yu Liu et al. profile →

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name	h						Papers	Cites
Andrew Tao United States	6	2.3k	436	315	241	201	11	2.8k
Varun Jampani United States	21	2.4k 1.0×	717 1.6×	366 1.2×	314 1.3×	323 1.6×	65	3.1k
Dong Chen China	20	2.5k 1.1×	784 1.8×	302 1.0×	176 0.7×	244 1.2×	78	3.2k
Yanwen Guo China	22	1.9k 0.8×	703 1.6×	296 0.9×	516 2.1×	400 2.0×	119	2.8k
Edgar Simo‐Serra Japan	19	2.6k 1.1×	274 0.6×	443 1.4×	262 1.1×	308 1.5×	54	3.0k
Muwei Jian China	29	1.8k 0.8×	392 0.9×	135 0.4×	412 1.7×	110 0.5×	137	2.6k
Lu Fang China	26	1.6k 0.7×	309 0.7×	164 0.5×	358 1.5×	276 1.4×	188	2.4k
Yibing Song China	22	2.1k 0.9×	456 1.0×	133 0.4×	353 1.5×	143 0.7×	53	2.5k
Xuequan Lu Australia	23	924 0.4×	540 1.2×	235 0.7×	102 0.4×	479 2.4×	125	1.7k
Hubert Ramsauer Austria	3	1.6k 0.7×	506 1.2×	208 0.7×	134 0.6×	127 0.6×	4	2.1k

Countries citing papers authored by Andrew Tao

Since Specialization

Citations

This map shows the geographic impact of Andrew Tao's research. It shows the number of citations coming from papers published by authors working in each country. You can also color the map by specialization and compare the number of citations received by Andrew Tao with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Andrew Tao more than expected).

Fields of papers citing papers by Andrew Tao

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Andrew Tao. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the papers produced by Andrew Tao. The network helps show where Andrew Tao may publish in the future.

Co-authorship network of co-authors of Andrew Tao

This figure shows the co-authorship network connecting the top 25 collaborators of Andrew Tao. A scholar is included among the top collaborators of Andrew Tao based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Andrew Tao. Andrew Tao is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

Sort: Min cites: Since: Top N: Style:

11 of 11 papers shown

1.

Yin, Hongxu, et al.. (2025). RADIOv2.5: Improved Baselines for Agglomerative Vision Foundation Models. 22487–22497.

2.

Barker, Jon, et al.. (2024). Leveraging Bitstream Metadata for Fast, Accurate, Generalized Compressed Video Quality Enhancement. 1506–1516.

3.

Ge, Songwei, Seungjun Nah, Guilin Liu, et al.. (2023). Preserve Your Own Correlation: A Noise Prior for Video Diffusion Models. 22873–22884. 60 indexed citations

4.

Dündar, Ayşegül, Jun Gao, Andrew Tao, & Bryan Catanzaro. (2023). Progressive Learning of 3D Reconstruction Network From 2D GAN Data. IEEE Transactions on Pattern Analysis and Machine Intelligence. 46(2). 793–804. 5 indexed citations

5.

Dündar, Ayşegül, Kevin J. Shih, Ting-Chun Wang, et al.. (2022). Partial Convolution for Padding, Inpainting, and Image Synthesis. IEEE Transactions on Pattern Analysis and Machine Intelligence. 45(5). 1–15. 31 indexed citations

6.

Yu, Ning, Guilin Liu, Ayşegül Dündar, et al.. (2021). Dual Contrastive Loss and Attention for GANs. 2021 IEEE/CVF International Conference on Computer Vision (ICCV). 6711–6722. 1 indexed citations

7.

Mardani, Morteza, et al.. (2020). Neural FFTs for Universal Texture Image Synthesis. Neural Information Processing Systems. 33. 14081–14092. 7 indexed citations

8.

Zhang, Ji, Kevin J. Shih, Ahmed Elgammal, Andrew Tao, & Bryan Catanzaro. (2019). Graphical Contrastive Losses for Scene Graph Generation.. arXiv (Cornell University). 14 indexed citations

9.

Zhu, Yi, Karan Sapra, Fitsum A. Reda, et al.. (2019). Improving Semantic Segmentation via Video Propagation and Label Relaxation. 8848–8857. 247 indexed citations

10.

Wang, Ting-Chun, Ming-Yu Liu, Jun-Yan Zhu, et al.. (2018). High-Resolution Image Synthesis and Semantic Manipulation with Conditional GANs. 8798–8807. 2446 indexed citations breakdown →

11.

Tao, Andrew, et al.. (2007). The Relationship of Returns to Earnings and Cash Flows Before and After Restatement. SSRN Electronic Journal. 1 indexed citations

Rankless uses publication and citation data sourced from OpenAlex, an open and comprehensive bibliographic database. While OpenAlex provides broad and valuable coverage of the global research landscape, it—like all bibliographic datasets—has inherent limitations. These include incomplete records, variations in author disambiguation, differences in journal indexing, and delays in data updates. As a result, some metrics and network relationships displayed in Rankless may not fully capture the entirety of a scholar's output or impact.

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