Davide Modolo

898 total citations
22 papers, 421 citations indexed

About

Davide Modolo is a scholar working on Computer Vision and Pattern Recognition, Artificial Intelligence and Cognitive Neuroscience. According to data from OpenAlex, Davide Modolo has authored 22 papers receiving a total of 421 indexed citations (citations by other indexed papers that have themselves been cited), including 20 papers in Computer Vision and Pattern Recognition, 15 papers in Artificial Intelligence and 1 paper in Cognitive Neuroscience. Recurrent topics in Davide Modolo's work include Human Pose and Action Recognition (10 papers), Anomaly Detection Techniques and Applications (9 papers) and Multimodal Machine Learning Applications (8 papers). Davide Modolo is often cited by papers focused on Human Pose and Action Recognition (10 papers), Anomaly Detection Techniques and Applications (9 papers) and Multimodal Machine Learning Applications (8 papers). Davide Modolo collaborates with scholars based in United States, United Kingdom and Netherlands. Davide Modolo's co-authors include Joseph Tighe, Bing Shuai, Xinyu Li, Kaustav Kundu, Chunhui Liu, Vittorio Ferrari, Hao Chen, Fanyi Xiao, Xinyu Li and Hao Chen and has published in prestigious journals such as IEEE Transactions on Pattern Analysis and Machine Intelligence, Leonardo and 2022 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR).

In The Last Decade

Davide Modolo

22 papers receiving 405 citations

Peers

Davide Modolo

CVPR

AI

BE

HI

AE

Zhou Xue China

Alok Kumar Singh Kushwaha India

Tianyu Yang China

Shiwei Zhang China

Allah Bux Sargano Pakistan

A. Lamas Spain

Kevin Cannons Canada

Berkan Solmaz Türkiye

Musiur Raza Abidi India

Sareer Ul Amin South Korea

Zhou Xue China

Davide Modolo

336 ×1.0

CVPR

81 ×0.6

AI

39 ×0.7

BE

24 ×0.7

HI

44 ×1.3

AE

Citations per year, relative to Davide Modolo Davide Modolo (= 1×) peers Zhou Xue

Countries citing papers authored by Davide Modolo

Since Specialization

Citations

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

Fields of papers citing papers by Davide Modolo

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Davide Modolo

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

Kong, Fanjie, Yanbei Chen, Jiarui Cai, & Davide Modolo. (2024). Hyperbolic Learning with Synthetic Captions for Open-World Detection. 16762–16771. 2 indexed citations

2.

Shuai, Bing, et al.. (2024). Self-Supervised Multi-Object Tracking with Path Consistency. 19016–19026. 6 indexed citations

3.

Kundu, Kaustav, et al.. (2024). Prompting Foundational Models for Omni-supervised Instance Segmentation. 1583–1592. 1 indexed citations

4.

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

5.

Yu, Zhuoran, et al.. (2024). Denoising and Selecting Pseudo-Heatmaps for Semi-Supervised Human Pose Estimation. 6268–6277. 1 indexed citations

6.

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

7.

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

8.

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

9.

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

10.

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

11.

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

12.

Liu, Chunhui, Xinyu Li, Hao Chen, Davide Modolo, & Joseph Tighe. (2021). Selective Feature Compression for Efficient Activity Recognition Inference. 2021 IEEE/CVF International Conference on Computer Vision (ICCV). 13608–13617. 3 indexed citations

13.

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

14.

Shuai, Bing, et al.. (2020). Application of Multi-Object Tracking with Siamese Track-RCNN to the Human in Events Dataset. 4625–4629. 14 indexed citations

15.

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

16.

Modolo, Davide, et al.. (2018). Objects as Context for Detecting Their Semantic Parts. Edinburgh Research Explorer. 6907–6916. 4 indexed citations

17.

Modolo, Davide & Vittorio Ferrari. (2017). Learning Semantic Part-Based Models from Google Images. IEEE Transactions on Pattern Analysis and Machine Intelligence. 40(6). 1502–1509. 5 indexed citations

18.

Modolo, Davide, Alexander Vezhnevets, & Vittorio Ferrari. (2015). Context Forest for Object Class Detection. Edinburgh Research Explorer (University of Edinburgh). 188.1–188.14. 5 indexed citations

19.

Salah, Alkım Almila Akdağ, et al.. (2012). deviantArt in Spotlight: A network of Artists. Leonardo. 45(5). 486–487. 9 indexed citations

20.

Modolo, Davide, et al.. (2011). Explorative visualization and analysis of a social network for arts: the case of deviantART. UvA-DARE (University of Amsterdam). 2(1). 87–94. 23 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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