Bryan A. Plummer

3.2k total citations · 1 hit paper
35 papers, 1.4k citations indexed

About

Bryan A. Plummer is a scholar working on Computer Vision and Pattern Recognition, Artificial Intelligence and Signal Processing. According to data from OpenAlex, Bryan A. Plummer has authored 35 papers receiving a total of 1.4k indexed citations (citations by other indexed papers that have themselves been cited), including 24 papers in Computer Vision and Pattern Recognition, 19 papers in Artificial Intelligence and 2 papers in Signal Processing. Recurrent topics in Bryan A. Plummer's work include Multimodal Machine Learning Applications (16 papers), Domain Adaptation and Few-Shot Learning (11 papers) and Advanced Image and Video Retrieval Techniques (9 papers). Bryan A. Plummer is often cited by papers focused on Multimodal Machine Learning Applications (16 papers), Domain Adaptation and Few-Shot Learning (11 papers) and Advanced Image and Video Retrieval Techniques (9 papers). Bryan A. Plummer collaborates with scholars based in United States, United Kingdom and Colombia. Bryan A. Plummer's co-authors include Svetlana Lazebnik, Julia Hockenmaier, Liwei Wang, Juan Carlos Caicedo, Kate Saenko, Huijuan Xu, Stan Sclaroff, Kun He, Leonid Sigal and Matthew A. Brown and has published in prestigious journals such as SHILAP Revista de lepidopterología, IEEE Transactions on Pattern Analysis and Machine Intelligence and International Journal of Computer Vision.

In The Last Decade

Bryan A. Plummer

33 papers receiving 1.4k citations

Hit Papers

align trajectories

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.

Flickr30k Entities: Collecting Region-to-Phrase Correspondences for Richer Image-to-Sentence Models

2015 739 citations Bryan A. Plummer, Liwei Wang et al. profile →

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Bryan A. Plummer United States	11	1.2k	738	65	32	24	35	1.4k
Adriana Kovashka United States	16	903 0.7×	619 0.8×	24 0.4×	32 1.0×	19 0.8×	53	1.1k
Annan Li China	19	854 0.7×	286 0.4×	98 1.5×	19 0.6×	17 0.7×	39	1.1k
Fangxiang Feng China	14	628 0.5×	615 0.8×	29 0.4×	13 0.4×	20 0.8×	38	1.1k
Yuheng Li United States	6	502 0.4×	266 0.4×	37 0.6×	50 1.6×	34 1.4×	11	772
Hao Tan United States	12	1.4k 1.2×	1.3k 1.7×	40 0.6×	7 0.2×	36 1.5×	28	1.7k
Duanqing Xu China	10	582 0.5×	180 0.2×	67 1.0×	45 1.4×	22 0.9×	41	720
Wei Ji Singapore	14	602 0.5×	287 0.4×	18 0.3×	23 0.7×	16 0.7×	41	703
Maxwell Forbes United States	10	425 0.3×	488 0.7×	32 0.5×	15 0.5×	65 2.7×	17	835
Yingming Li China	15	339 0.3×	264 0.4×	49 0.8×	21 0.7×	13 0.5×	55	557
Huei‐Fang Yang Taiwan	9	733 0.6×	141 0.2×	52 0.8×	17 0.5×	10 0.4×	26	829

Countries citing papers authored by Bryan A. Plummer

Since Specialization

Citations

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

Fields of papers citing papers by Bryan A. Plummer

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Bryan A. Plummer. 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 Bryan A. Plummer. The network helps show where Bryan A. Plummer may publish in the future.

Co-authorship network of co-authors of Bryan A. Plummer

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

All Works

Sort: Min cites: Since: Top N: Style:

20 of 20 papers shown

1.

Shih, Kevin J., et al.. (2025). Enhancing Virtual Try-On with Synthetic Pairs and Error-Aware Noise Scheduling. 21238–21247.

2.

Bargal, Sarah Adel, et al.. (2025). Anatomy‐Guided, Modality‐Agnostic Segmentation of Neuroimaging Abnormalities. Human Brain Mapping. 46(14). e70329–e70329.

3.

Saito, Kuniaki, et al.. (2025). ERM++: An Improved Baseline for Domain Generalization. 8525–8535. 1 indexed citations

4.

Zhu, Xinliang, et al.. (2024). Multimodal Representation and Retrieval [MRR 2024]. 3047–3050. 1 indexed citations

5.

Zhang, Zhongping, Wenda Qin, & Bryan A. Plummer. (2024). Machine-Generated Text Localization. 8357–8371. 3 indexed citations

6.

Sun, Ximeng, et al.. (2024). Koala: Key Frame-Conditioned Long Video-LLM. 13581–13591. 4 indexed citations

7.

Li, Nannan, et al.. (2024). UniHuman: A Unified Model For Editing Human Images in the Wild. 2039–2048. 3 indexed citations

8.

Bargal, Sarah Adel, et al.. (2024). Disease‐driven domain generalization for neuroimaging‐based assessment of Alzheimer's disease. Human Brain Mapping. 45(8). e26707–e26707. 4 indexed citations

9.

Ranker, Lynsie R, Emelia J. Benjamin, Rose Marie Robertson, et al.. (2024). Health Warnings on Instagram Advertisements for Synthetic Nicotine E-Cigarettes and Engagement. JAMA Network Open. 7(9). e2434434–e2434434. 1 indexed citations

10.

Burns, Andrea, Kate Saenko, & Bryan A. Plummer. (2024). Tell Me What’s Next: Textual Foresight for Generic UI Representations. 4590–4611. 1 indexed citations

11.

Dryden, Nikoli, et al.. (2024). Learning to Compose SuperWeights for Neural Parameter Allocation Search. 2739–2748. 2 indexed citations

12.

Zhang, Zhongping, et al.. (2024). Movie Genre Classification by Language Augmentation and Shot Sampling. 7260–7270. 6 indexed citations

13.

Zhang, Zhongping, Yiwen Gu, & Bryan A. Plummer. (2023). Show, Write, and Retrieve: Entity-aware Article Generation and Retrieval. 8684–8704. 1 indexed citations

14.

Saenko, Kate, et al.. (2023). Bias Mimicking: A Simple Sampling Approach for Bias Mitigation. 20311–20320. 12 indexed citations

15.

Li, Nannan, Kevin J. Shih, & Bryan A. Plummer. (2023). Collecting The Puzzle Pieces: Disentangled Self-Driven Human Pose Transfer by Permuting Textures. 4 indexed citations

16.

Plummer, Bryan A., et al.. (2020). Shapeshifter Networks: Decoupling Layers from Parameters for Scalable and Effective Deep Learning. arXiv (Cornell University). 1 indexed citations

17.

Kim, Donghyun, Kuniaki Saito, Kate Saenko, Stan Sclaroff, & Bryan A. Plummer. (2020). MULE: Multimodal Universal Language Embedding. Proceedings of the AAAI Conference on Artificial Intelligence. 34(7). 11254–11261. 20 indexed citations

18.

Tommasi, Tatiana, Arun Mallya, Bryan A. Plummer, et al.. (2018). Combining Multiple Cues for Visual Madlibs Question Answering. International Journal of Computer Vision. 127(1). 38–60. 9 indexed citations

19.

Plummer, Bryan A., et al.. (2016). Phrase Localization and Visual Relationship Detection with Comprehensive Linguistic Cues.. arXiv (Cornell University). 12 indexed citations

20.

Plummer, Bryan A., et al.. (2016). Flickr30k Entities: Collecting Region-to-Phrase Correspondences for Richer Image-to-Sentence Models. International Journal of Computer Vision. 123(1). 74–93. 160 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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