Nataniel Ruiz

3.1k citations
18 papers · 1.8k · 2 hit papers · h-index 10

Impact in

Papers in

    • Generative Adversarial Networks and Image Synthesis 9
    • Visual Attention and Saliency Detection 3
    • Advanced Vision and Imaging 2
    • Human Pose and Action Recognition 2
    • Intelligent Tutoring Systems and Adaptive Learning 3
    • Adversarial Robustness in Machine Learning 2

Nataniel Ruiz

17 papers receiving 1.7k citations

Nataniel Ruiz's Hit Papers

HyperDreamBooth: HyperNetworks for Fast Personalization of Text-to-Image Models 2024 · 70 citations
700+1+2Years since publication4008001.2k

Peers

Nataniel Ruiz
Comparison fields: 5 of 126
  • Computer Graphics and Computer-Aided Design 302
  • Computer Vision and Pattern Recognition 1.2k
  • Human-Computer Interaction 193
  • Artificial Intelligence 374
  • Signal Processing 114
Replace John Collomosse with:
John Collomosse United Kingdom
Jianming Zhang United States
Kfir Aberman United States
Shalini De Mello United States
Xiaowu Chen China
Lvmin Zhang Hong Kong
Cagri Ozcinar Ireland
Xiaoshuai Sun China
Johanna Beyer United States
Hedi Tabia France
Nataniel Ruiz relative to John Collomosse United Kingdom John Collomosse's profile →
Citations per field
00.5×2×2.6×
John Collomosse · 1×
Citations per year

Countries citing papers authored by Nataniel Ruiz

Since Specialization
Citations

This map shows the geographic impact of Nataniel Ruiz'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 Nataniel Ruiz with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Nataniel Ruiz more than expected).

Fields of papers citing papers by Nataniel Ruiz

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Nataniel Ruiz. 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 Nataniel Ruiz. The network helps show where Nataniel Ruiz may publish in the future.

Co-authors

The 25 scholars most cited alongside Nataniel Ruiz, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Nataniel Ruiz Line = papers co-authored together Nataniel Ruiz links everyone, so they are left out of the graph.

All Works

18 of 18 papers shown
#Work
1
DreamBooth: Fine Tuning Text-to-Image Diffusion Models for Subject-Driven Generation
Hit paper breakdown →
20231237
2 2023108
3 202089
4 201887
5 200875
6
HyperDreamBooth: HyperNetworks for Fast Personalization of Text-to-Image Models
Hit paper breakdown →
202470
7 201752
8 202423
9 202418
10 202210
11 20237
12 20217
13 20227
14 20224
15 20252
16 20232
17 20211
18 20230

About Nataniel Ruiz

Nataniel Ruiz is a scholar working on Computer Vision and Pattern Recognition, Artificial Intelligence, Human-Computer Interaction, Computer Graphics and Computer-Aided Design and Computer Science Applications, having authored 18 papers that have together received 1.8k indexed citations. Recurring topics across this work include Generative Adversarial Networks and Image Synthesis (9 papers), Gaze Tracking and Assistive Technology (4 papers), Intelligent Tutoring Systems and Adaptive Learning (3 papers), Computer Graphics and Visualization Techniques (3 papers), Visual Attention and Saliency Detection (3 papers), Adversarial Robustness in Machine Learning (2 papers), Advanced Vision and Imaging (2 papers) and Human Pose and Action Recognition (2 papers). The work is most often cited by research in Computer Graphics and Computer-Aided Design (302 citations), Computer Vision and Pattern Recognition (1.2k citations), Human-Computer Interaction (193 citations), Artificial Intelligence (374 citations) and Signal Processing (114 citations). Nataniel Ruiz has collaborated with scholars based in United States, Germany and Singapore. Frequent co-authors include Varun Jampani, Kfir Aberman, Yuanzhen Li, Yael Pritch, Michael Rubinstein, James M. Rehg, Eunji Chong, Yongxin Wang, Agata Rozga and Fang Chen. Their work appears in journals such as Proceedings of the ACM on Interactive Mobile Wearable and Ubiquitous Technologies, IEEE Transactions on Biometrics Behavior and Identity Science, ACM Transactions on Graphics, Lecture notes in computer science and Clark Digital Commons (Clark University).

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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