Anthony Hoogs

2.9k total citations
79 papers, 1.3k citations indexed

About

Anthony Hoogs is a scholar working on Computer Vision and Pattern Recognition, Artificial Intelligence and Media Technology. According to data from OpenAlex, Anthony Hoogs has authored 79 papers receiving a total of 1.3k indexed citations (citations by other indexed papers that have themselves been cited), including 67 papers in Computer Vision and Pattern Recognition, 30 papers in Artificial Intelligence and 14 papers in Media Technology. Recurrent topics in Anthony Hoogs's work include Advanced Image and Video Retrieval Techniques (25 papers), Video Surveillance and Tracking Methods (21 papers) and Anomaly Detection Techniques and Applications (20 papers). Anthony Hoogs is often cited by papers focused on Advanced Image and Video Retrieval Techniques (25 papers), Video Surveillance and Tracking Methods (21 papers) and Anomaly Detection Techniques and Applications (20 papers). Anthony Hoogs collaborates with scholars based in United States, Singapore and United Kingdom. Anthony Hoogs's co-authors include A. G. Amitha Perera, Glen W. Brooksby, Arslan Basharat, Chengjiang Long, Wensheng Hu, Chintakindi Srinivas, J. Kaufhold, Ashraful Islam, Eran Swears and Robert Kaucic and has published in prestigious journals such as SHILAP Revista de lepidopterología, IEEE Transactions on Pattern Analysis and Machine Intelligence and Philosophical Transactions of the Royal Society B Biological Sciences.

In The Last Decade

Anthony Hoogs

79 papers receiving 1.3k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Anthony Hoogs United States 20 1.1k 440 160 119 83 79 1.3k
Alina Kuznetsova United States 9 1.3k 1.3× 713 1.6× 91 0.6× 88 0.7× 61 0.7× 12 1.8k
Stefan Popov United States 12 1.4k 1.3× 645 1.5× 109 0.7× 103 0.9× 116 1.4× 15 2.0k
Steve Branson United States 14 983 0.9× 746 1.7× 110 0.7× 86 0.7× 44 0.5× 16 1.8k
Neil Alldrin United States 9 1.5k 1.4× 815 1.9× 89 0.6× 102 0.9× 68 0.8× 11 2.1k
Jianguo Li China 18 1.1k 1.0× 477 1.1× 109 0.7× 111 0.9× 77 0.9× 68 1.4k
Jianwu Fang China 19 722 0.7× 367 0.8× 95 0.6× 110 0.9× 44 0.5× 78 1.1k
Junshi Huang China 14 1.5k 1.5× 729 1.7× 82 0.5× 169 1.4× 69 0.8× 25 2.0k
Shikui Wei China 19 1.2k 1.1× 412 0.9× 95 0.6× 140 1.2× 60 0.7× 78 1.5k
Sean Bell United States 7 1.7k 1.6× 401 0.9× 157 1.0× 207 1.7× 59 0.7× 7 2.0k

Countries citing papers authored by Anthony Hoogs

Since Specialization
Citations

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

Fields of papers citing papers by Anthony Hoogs

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Anthony Hoogs

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

All Works

20 of 20 papers shown
1.
Bhattacharjee, Amrita, James H. Cook, Matthias Kirchner, et al.. (2024). Defending Against Social Engineering Attacks in the Age of LLMs. 12880–12902. 6 indexed citations
2.
Hu, Brian, et al.. (2023). Xaitk-Saliency: An Open Source Explainable AI Toolkit for Saliency. Proceedings of the AAAI Conference on Artificial Intelligence. 37(13). 15760–15766. 4 indexed citations
3.
Hoogs, Anthony, et al.. (2020). An Open-Source System for Do-It-Yourself AI in the Marine Environment. 1 indexed citations
4.
Dong, Bo, et al.. (2019). Explainability for Content-Based Image Retrieval. Computer Vision and Pattern Recognition. 95–98. 7 indexed citations
5.
Long, Chengjiang, Arslan Basharat, & Anthony Hoogs. (2019). A Coarse-to-fine Deep Convolutional Neural Network Framework for Frame Duplication Detection and Localization in Forged Videos. arXiv (Cornell University). 1–10. 8 indexed citations
6.
Long, Chengjiang, et al.. (2019). Deep Neural Networks in Fully Connected CRF for Image Labeling with Social Network Metadata. 1607–1615. 11 indexed citations
7.
Brown, Matthew S., et al.. (2019). Multi-Modal Detection Fusion on a Mobile UGV for Wide-Area, Long-Range Surveillance. 15. 1905–1913. 2 indexed citations
8.
Long, Chengjiang, Eric Smith, Arslan Basharat, & Anthony Hoogs. (2017). A C3D-Based Convolutional Neural Network for Frame Dropping Detection in a Single Video Shot. 1898–1906. 35 indexed citations
9.
Sun, Zhaohui & Anthony Hoogs. (2017). Compact image representation by binary component analysis. 99. 2771–2775. 1 indexed citations
10.
Oh, Sangmin, et al.. (2015). Image-oriented economic perspective on user behavior in multimedia social forums: An analysis on supply, consumption, and saliency. Pattern Recognition Letters. 72. 33–40. 2 indexed citations
11.
Swears, Eran, Anthony Hoogs, Qiang Ji, & Kim L. Boyer. (2014). Complex Activity Recognition Using Granger Constrained DBN (GCDBN) in Sports and Surveillance Video. 788–795. 15 indexed citations
12.
Swears, Eran & Anthony Hoogs. (2012). Learning and recognizing complex multi-agent activities with applications to american football plays. 409–416. 9 indexed citations
13.
Oh, Sangmin & Anthony Hoogs. (2010). Unsupervised Learning of Activities in Video Using Scene Context. 3579–3582. 8 indexed citations
14.
Sun, Zhaohui & Anthony Hoogs. (2010). Image Comparison by Compound Disjoint Information with Applications to Perceptual Visual Quality Assessment, Image Registration and Tracking. International Journal of Computer Vision. 88(3). 461–488. 9 indexed citations
15.
Hoogs, Anthony & A. G. Amitha Perera. (2008). Video activity recognition in the real world. National Conference on Artificial Intelligence. 1551–1554. 17 indexed citations
16.
Swears, Eran, Anthony Hoogs, & A. G. Amitha Perera. (2008). Learning Motion Patterns in Surveillance Video using HMM Clustering. 1–8. 31 indexed citations
17.
Wheeler, Frederick W. & Anthony Hoogs. (2007). Moving Vehicle Registration and Super-Resolution. 20. 101–107. 2 indexed citations
18.
Kaucic, Robert, A. G. Amitha Perera, Glen W. Brooksby, J. Kaufhold, & Anthony Hoogs. (2005). A Unified Framework for Tracking through Occlusions and across Sensor Gaps. 1. 990–997. 77 indexed citations
19.
Hoogs, Anthony, et al.. (1997). <title>User interface representations for image understanding</title>. Proceedings of SPIE, the International Society for Optical Engineering/Proceedings of SPIE. 2962. 171–179. 1 indexed citations
20.
Ponce, Jean, Anthony Hoogs, & David Kriegman. (1992). On using CAD models to compute the pose of curved 3D objects. CVGIP Image Understanding. 55(2). 184–197. 26 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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