Samaneh Azadi is a scholar working on Computer Vision and Pattern Recognition, Artificial Intelligence and Radiology, Nuclear Medicine and Imaging.
According to data from OpenAlex, Samaneh Azadi has authored 11 papers receiving a total of 204 indexed citations (citations by other indexed papers that have themselves been cited), including 7 papers in Computer Vision and Pattern Recognition, 4 papers in Artificial Intelligence and 2 papers in Radiology, Nuclear Medicine and Imaging. Recurrent topics in Samaneh Azadi's work include Generative Adversarial Networks and Image Synthesis (5 papers), Image Retrieval and Classification Techniques (3 papers) and Advanced Image and Video Retrieval Techniques (2 papers). Samaneh Azadi is often cited by papers focused on Generative Adversarial Networks and Image Synthesis (5 papers), Image Retrieval and Classification Techniques (3 papers) and Advanced Image and Video Retrieval Techniques (2 papers). Samaneh Azadi collaborates with scholars based in United States, Hong Kong and Germany. Samaneh Azadi's co-authors include Trevor Darrell, Dong Huk Park, Anna Rohrbach, Xihui Liu, Humphrey Shi, Gong Zhang, Yuxiao Hu, Suvrit Sra, Jiashi Feng and Afsaneh Safavi and has published in prestigious journals such as arXiv (Cornell University), Neural Information Processing Systems and International Conference on Learning Representations.
In The Last Decade
Samaneh Azadi
11 papers
receiving
202 citations
Hit Papers
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.
More Control for Free! Image Synthesis with Semantic Diffusion Guidance
2023106 citationsXihui Liu, Dong Huk Park et al.2023 IEEE/CVF Winter Conference on Applications of Computer Vision (WACV)profile →
Peers — A (Enhanced Table)
Peers by citation overlap · career bar shows stage (early→late)
cites ·
hero ref
This map shows the geographic impact of Samaneh Azadi'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 Samaneh Azadi with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Samaneh Azadi more than expected).
This network shows the impact of papers produced by Samaneh Azadi. 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 Samaneh Azadi. The network helps show where Samaneh Azadi may publish in the future.
Co-authorship network of co-authors of Samaneh Azadi
This figure shows the co-authorship network connecting the top 25 collaborators of Samaneh Azadi.
A scholar is included among the top collaborators of Samaneh Azadi 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 Samaneh Azadi. Samaneh Azadi is excluded from
the visualization to improve readability, since they are connected to all nodes in the network.
Liu, Xihui, Dong Huk Park, Samaneh Azadi, et al.. (2023). More Control for Free! Image Synthesis with Semantic Diffusion Guidance. 2023 IEEE/CVF Winter Conference on Applications of Computer Vision (WACV). 289–299.106 indexed citations breakdown →
5.
Park, Dong Huk, Samaneh Azadi, Xihui Liu, Trevor Darrell, & Anna Rohrbach. (2021). Benchmark for Compositional Text-to-Image Synthesis. Neural Information Processing Systems.25 indexed citations
6.
Azadi, Samaneh, Michael Tschannen, Eric Tzeng, et al.. (2021). Unconditional Synthesis of Complex Scenes Using a Semantic Bottleneck.1 indexed citations
7.
Azadi, Samaneh, et al.. (2019). Compositional GAN (Extended Abstract): Learning Image-Conditional Binary Composition. International Conference on Learning Representations.1 indexed citations
8.
Azadi, Samaneh, Catherine Olsson, Trevor Darrell, Ian Goodfellow, & Augustus Odena. (2018). Discriminator Rejection Sampling. arXiv (Cornell University).4 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.