Joseph Tighe

2.2k total citations
26 papers, 869 citations indexed

About

Joseph Tighe is a scholar working on Computer Vision and Pattern Recognition, Artificial Intelligence and Biomedical Engineering. According to data from OpenAlex, Joseph Tighe has authored 26 papers receiving a total of 869 indexed citations (citations by other indexed papers that have themselves been cited), including 25 papers in Computer Vision and Pattern Recognition, 14 papers in Artificial Intelligence and 2 papers in Biomedical Engineering. Recurrent topics in Joseph Tighe's work include Multimodal Machine Learning Applications (14 papers), Human Pose and Action Recognition (13 papers) and Advanced Image and Video Retrieval Techniques (10 papers). Joseph Tighe is often cited by papers focused on Multimodal Machine Learning Applications (14 papers), Human Pose and Action Recognition (13 papers) and Advanced Image and Video Retrieval Techniques (10 papers). Joseph Tighe collaborates with scholars based in United States, Germany and Netherlands. Joseph Tighe's co-authors include Svetlana Lazebnik, Davide Modolo, Xinyu Li, Bing Shuai, Marc Niethammer, Kaustav Kundu, Chunhui Liu, Hao Chen, Yi Zhu and Yuanjun Xiong and has published in prestigious journals such as International Journal of Computer Vision, 2022 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR) and 2021 IEEE/CVF International Conference on Computer Vision (ICCV).

In The Last Decade

Joseph Tighe

25 papers receiving 847 citations

Peers

Joseph Tighe

CVPR

AI

BE

AE

MT

Anurag Arnab United States

Chih‐Yao Ma United States

Ke Gong China

Huijun Di China

Yiming Cui United States

Nam-Gyu Cho South Korea

Peiyun Hu United States

Abrar Ahmed Pakistan

Jun-Wei Hsieh Taiwan

Seunghoon Hong South Korea

Anurag Arnab United States

Joseph Tighe

669 ×0.9

CVPR

364 ×1.4

AI

45 ×0.6

BE

30 ×0.5

AE

46 ×0.9

MT

Citations per year, relative to Joseph Tighe Joseph Tighe (= 1×) peers Anurag Arnab

Countries citing papers authored by Joseph Tighe

Since Specialization

Citations

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

Fields of papers citing papers by Joseph Tighe

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Joseph Tighe

This figure shows the co-authorship network connecting the top 25 collaborators of Joseph Tighe. A scholar is included among the top collaborators of Joseph Tighe 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 Joseph Tighe. Joseph Tighe 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.

Xu, Zhenlin, Yi Zhu, Yanbei Chen, et al.. (2024). Benchmarking Zero-Shot Recognition with Vision-Language Models: Challenges on Granularity and Specificity. 1827–1836. 1 indexed citations

2.

Duan, Haodong, Mingze Xu, Bing Shuai, et al.. (2023). SkeleTR: Towards Skeleton-based Action Recognition in the Wild. 13588–13598. 18 indexed citations

3.

Zhao, Jiaojiao, Yanyi Zhang, Xinyu Li, et al.. (2022). TubeR: Tubelet Transformer for Video Action Detection. 2022 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR). 13588–13597. 53 indexed citations

4.

Xiao, Fanyi, Kaustav Kundu, Joseph Tighe, & Davide Modolo. (2022). Hierarchical Self-supervised Representation Learning for Movie Understanding. 2022 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR). 14 indexed citations

5.

Li, Xinyu, Chunhui Liu, Bing Shuai, et al.. (2022). NUTA: Non-uniform Temporal Aggregation for Action Recognition. 2022 IEEE/CVF Winter Conference on Applications of Computer Vision (WACV). 827–836. 15 indexed citations

6.

Iftekhar, Adnan, Hao Chen, Kaustav Kundu, et al.. (2022). What to look at and where: Semantic and Spatial Refined Transformer for detecting human-object interactions. 2022 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR). 5343–5353. 32 indexed citations

7.

Xiao, Fanyi, et al.. (2022). SCVRL: Shuffled Contrastive Video Representation Learning. 2022 IEEE/CVF Conference on Computer Vision and Pattern Recognition Workshops (CVPRW). 4131–4140. 9 indexed citations

8.

Zhu, Yi, Zhi Zhang, Xinyu Li, et al.. (2021). Video Contrastive Learning with Global Context. 3188–3188. 39 indexed citations

9.

Tighe, Joseph & Svetlana Lazebnik. (2021). Superparsing: Scalable Nonparametric Image Parsing with Superpixels. UNC Libraries.

10.

Shuai, Bing, et al.. (2021). SiamMOT: Siamese Multi-Object Tracking. 12367–12377. 100 indexed citations

11.

Kundu, Kaustav & Joseph Tighe. (2020). Exploiting weakly supervised visual patterns to learn from partial annotations. Neural Information Processing Systems. 33. 561–572. 16 indexed citations

12.

Tighe, Joseph, et al.. (2020). Combining Detection and Tracking for Human Pose Estimation in Videos. 11085–11093. 91 indexed citations

13.

Varior, Rahul Rama, Bing Shuai, Joseph Tighe, & Davide Modolo. (2019). Scale-Aware Attention Network for Crowd Counting. arXiv (Cornell University). 11 indexed citations

14.

Wang, Ke, Enrique Dunn, Joseph Tighe, & Jan‐Michael Frahm. (2014). Combining semantic scene priors and haze removal for single image depth estimation. 800–807. 10 indexed citations

15.

Tighe, Joseph, Marc Niethammer, & Svetlana Lazebnik. (2014). Scene Parsing with Object Instance Inference Using Regions and Per-exemplar Detectors. International Journal of Computer Vision. 112(2). 150–171. 18 indexed citations

16.

Tighe, Joseph, Marc Niethammer, & Svetlana Lazebnik. (2014). Scene Parsing with Object Instances and Occlusion Ordering. 3748–3755. 76 indexed citations

17.

Lazebnik, Svetlana & Joseph Tighe. (2013). Towards open-universe image parsing with broad coverage. 13–20. 1 indexed citations

18.

Tighe, Joseph & Svetlana Lazebnik. (2013). Finding Things: Image Parsing with Regions and Per-Exemplar Detectors. 3001–3008. 137 indexed citations

19.

Tighe, Joseph & Svetlana Lazebnik. (2012). Superparsing. International Journal of Computer Vision. 101(2). 329–349. 146 indexed citations

20.

Raguram, Rahul, Joseph Tighe, & Jan-Michael Frahm. (2012). Improved Geometric Verification for Large Scale Landmark Image Collections. 77.1–77.11. 9 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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