Marshall F. Tappen

3.1k total citations · 1 hit paper
31 papers, 1.5k citations indexed

About

Marshall F. Tappen is a scholar working on Computer Vision and Pattern Recognition, Artificial Intelligence and Computational Mechanics. According to data from OpenAlex, Marshall F. Tappen has authored 31 papers receiving a total of 1.5k indexed citations (citations by other indexed papers that have themselves been cited), including 31 papers in Computer Vision and Pattern Recognition, 9 papers in Artificial Intelligence and 5 papers in Computational Mechanics. Recurrent topics in Marshall F. Tappen's work include Human Pose and Action Recognition (7 papers), Video Surveillance and Tracking Methods (7 papers) and Advanced Image and Video Retrieval Techniques (7 papers). Marshall F. Tappen is often cited by papers focused on Human Pose and Action Recognition (7 papers), Video Surveillance and Tracking Methods (7 papers) and Advanced Image and Video Retrieval Techniques (7 papers). Marshall F. Tappen collaborates with scholars based in United States, China and Germany. Marshall F. Tappen's co-authors include Syed Zain Masood, Jiejie Zhu, Baoyuan Liu, Hassan Foroosh, Min Wang, William T. Freeman, Edward H. Adelson, Jian Sun, Rahul Sukthankar and Joseph J. LaViola and has published in prestigious journals such as IEEE Transactions on Pattern Analysis and Machine Intelligence, IEEE Transactions on Image Processing and International Journal of Computer Vision.

In The Last Decade

Marshall F. Tappen

30 papers receiving 1.5k citations

Hit Papers

Sparse Convolutional Neural Networks 2015 2026 2018 2022 2015 100 200 300

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Marshall F. Tappen United States 17 1.3k 427 243 141 130 31 1.5k
Tat‐Jen Cham Singapore 23 1.8k 1.4× 369 0.9× 257 1.1× 222 1.6× 102 0.8× 86 2.1k
Joon‐Young Lee South Korea 27 2.0k 1.5× 254 0.6× 328 1.3× 99 0.7× 99 0.8× 70 2.4k
Yibing Song China 22 2.1k 1.6× 456 1.1× 353 1.5× 77 0.5× 143 1.1× 53 2.5k
Deepu Rajan Singapore 28 2.2k 1.6× 256 0.6× 460 1.9× 105 0.7× 60 0.5× 121 2.8k
Xiaodong Cun China 18 1.9k 1.5× 205 0.5× 598 2.5× 124 0.9× 74 0.6× 37 2.3k
Tyng-Luh Liu Taiwan 22 2.2k 1.7× 509 1.2× 384 1.6× 90 0.6× 173 1.3× 68 2.5k
M.J. Black United States 13 1.5k 1.2× 193 0.5× 411 1.7× 149 1.1× 186 1.4× 16 1.8k
Hwann-Tzong Chen Taiwan 22 2.2k 1.7× 366 0.9× 285 1.2× 91 0.6× 326 2.5× 57 2.5k
Saburo Tsuji Japan 22 1.5k 1.1× 134 0.3× 188 0.8× 91 0.6× 45 0.3× 133 1.8k

Countries citing papers authored by Marshall F. Tappen

Since Specialization
Citations

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

Fields of papers citing papers by Marshall F. Tappen

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Marshall F. Tappen. 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 Marshall F. Tappen. The network helps show where Marshall F. Tappen may publish in the future.

Co-authorship network of co-authors of Marshall F. Tappen

This figure shows the co-authorship network connecting the top 25 collaborators of Marshall F. Tappen. A scholar is included among the top collaborators of Marshall F. Tappen 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 Marshall F. Tappen. Marshall F. Tappen 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.
Xu, Mingliang, Jiejie Zhu, Pei Lv, et al.. (2017). Learning-Based Shadow Recognition and Removal From Monochromatic Natural Images. IEEE Transactions on Image Processing. 26(12). 5811–5824. 56 indexed citations
2.
Junejo, Imran N., et al.. (2015). Exploring Sparseness and Self-Similarity for Action Recognition. IEEE Transactions on Image Processing. 24(8). 2488–2501. 18 indexed citations
3.
Liu, Baoyuan, et al.. (2015). Sparse Convolutional Neural Networks. Journal of International Crisis and Risk Communication Research. 806–814. 372 indexed citations breakdown →
4.
Tappen, Marshall F., et al.. (2014). Feature-Independent Action Spotting without Human Localization, Segmentation, or Frame-wise Tracking. Journal of International Crisis and Risk Communication Research. 31. 2689–2696. 7 indexed citations
5.
Tappen, Marshall F., et al.. (2013). Discriminative dictionary learning with spatial priors. Journal of International Crisis and Risk Communication Research. 166–170. 8 indexed citations
6.
Tappen, Marshall F., et al.. (2012). Stable Discriminative Dictionary Learning Via Discriminative Deviation. Journal of International Crisis and Risk Communication Research. 5 indexed citations
7.
Twarog, Nathaniel, Marshall F. Tappen, & Edward H. Adelson. (2012). Playing with Puffball. DSpace@MIT (Massachusetts Institute of Technology). 47–54. 10 indexed citations
8.
Tappen, Marshall F.. (2011). Recovering shape from a single image of a mirrored surface from curvature constraints. Journal of International Crisis and Risk Communication Research. 2545–2552. 10 indexed citations
9.
Sun, Jian & Marshall F. Tappen. (2011). Learning non-local range Markov Random field for image restoration. Journal of International Crisis and Risk Communication Research. 2745–2752. 45 indexed citations
10.
Sun, Jian, Jiejie Zhu, & Marshall F. Tappen. (2010). Context-constrained hallucination for image super-resolution. Journal of International Crisis and Risk Communication Research. 231–238. 85 indexed citations
11.
Tang, Kevin, Marshall F. Tappen, Rahul Sukthankar, & Christoph H. Lampert. (2010). Optimizing one-shot recognition with micro-set learning. Journal of International Crisis and Risk Communication Research. 3027–3034. 16 indexed citations
12.
Zhu, Jiejie, et al.. (2010). Learning to recognize shadows in monochromatic natural images. Journal of International Crisis and Risk Communication Research. 223–230. 186 indexed citations
13.
Tappen, Marshall F., et al.. (2009). UCF @ TRECVID 2009: High-level Feature Extraction. Journal of International Crisis and Risk Communication Research.
14.
Tappen, Marshall F., et al.. (2009). Learning pedestrian dynamics from the real world. Journal of International Crisis and Risk Communication Research. 88 indexed citations
15.
Tappen, Marshall F., et al.. (2009). Learning optimized MAP estimates in continuously-valued MRF models. 2009 IEEE Conference on Computer Vision and Pattern Recognition. 477–484. 56 indexed citations
16.
Masood, Syed Zain, Jiejie Zhu, & Marshall F. Tappen. (2009). Automatic Correction of Saturated Regions in Photographs using Cross‐Channel Correlation. Computer Graphics Forum. 28(7). 1861–1869. 21 indexed citations
17.
Tappen, Marshall F., et al.. (2008). The Logistic Random Field — A convenient graphical model for learning parameters for MRF-based labeling. Journal of International Crisis and Risk Communication Research. 1–8. 13 indexed citations
18.
Moore, Brendan, Marshall F. Tappen, & Hassan Foroosh. (2008). Learning Face Appearance under Different Lighting Conditions. Journal of International Crisis and Risk Communication Research. 1. 1–8. 3 indexed citations
19.
Tappen, Marshall F.. (2007). Utilizing Variational Optimization to Learn Markov Random Fields. Journal of International Crisis and Risk Communication Research. 1–8. 34 indexed citations
20.
Tappen, Marshall F., Edward H. Adelson, & William T. Freeman. (2006). Estimating Intrinsic Component Images using Non-Linear Regression. 2. 1992–1999. 72 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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