Garrick Brazil

933 total citations
7 papers, 470 citations indexed

About

Garrick Brazil is a scholar working on Computer Vision and Pattern Recognition, Automotive Engineering and Artificial Intelligence. According to data from OpenAlex, Garrick Brazil has authored 7 papers receiving a total of 470 indexed citations (citations by other indexed papers that have themselves been cited), including 7 papers in Computer Vision and Pattern Recognition, 2 papers in Automotive Engineering and 2 papers in Artificial Intelligence. Recurrent topics in Garrick Brazil's work include Advanced Neural Network Applications (5 papers), Video Surveillance and Tracking Methods (4 papers) and Autonomous Vehicle Technology and Safety (2 papers). Garrick Brazil is often cited by papers focused on Advanced Neural Network Applications (5 papers), Video Surveillance and Tracking Methods (4 papers) and Autonomous Vehicle Technology and Safety (2 papers). Garrick Brazil collaborates with scholars based in United States and Israel. Garrick Brazil's co-authors include Xiaoming Liu, Xi Yin, Xiaoming Liu, Abhinav Kumar, Shengjie Zhu, Georgia Gkioxari, Julian Straub, Nikhila Ravi, Justin C. Johnson and Nanxiang Li and has published in prestigious journals such as .

In The Last Decade

Garrick Brazil

6 papers receiving 459 citations

Peers

Garrick Brazil
C.R. Jung Brazil
Shi Guo Hong Kong
J. Giebel Germany
Wenqi Wu China
Zeming Li China
Garrick Brazil
Citations per year, relative to Garrick Brazil Garrick Brazil (= 1×) peers Zongyang Zhao

Countries citing papers authored by Garrick Brazil

Since Specialization
Citations

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

Fields of papers citing papers by Garrick Brazil

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Garrick Brazil

This figure shows the co-authorship network connecting the top 25 collaborators of Garrick Brazil. A scholar is included among the top collaborators of Garrick Brazil 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 Garrick Brazil. Garrick Brazil is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

7 of 7 papers shown
1.
Brazil, Garrick, Abhinav Kumar, Julian Straub, et al.. (2023). Omni3D: A Large Benchmark and Model for 3D Object Detection in the Wild. 13154–13164. 40 indexed citations
2.
Brazil, Garrick, et al.. (2023). Camera Self-Calibration Using Human Faces. 1–8.
3.
Kumar, Abhinav, Garrick Brazil, & Xiaoming Liu. (2021). GrooMeD-NMS: Grouped Mathematically Differentiable NMS for Monocular 3D Object Detection. 8969–8979. 68 indexed citations
4.
Zhu, Shengjie, Garrick Brazil, & Xiaoming Liu. (2020). The Edge of Depth: Explicit Constraints Between Segmentation and Depth. 13113–13122. 80 indexed citations
5.
Brazil, Garrick, et al.. (2019). Recurrent Flow-Guided Semantic Forecasting. 1703–1712. 21 indexed citations
6.
Brazil, Garrick & Xiaoming Liu. (2019). Pedestrian Detection With Autoregressive Network Phases. 7224–7233. 66 indexed citations
7.
Brazil, Garrick, Xi Yin, & Xiaoming Liu. (2017). Illuminating Pedestrians via Simultaneous Detection and Segmentation. 4960–4969. 195 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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