David Vázquez

7.9k total citations · 4 hit papers
42 papers, 4.6k citations indexed

About

David Vázquez is a scholar working on Computer Vision and Pattern Recognition, Artificial Intelligence and Automotive Engineering. According to data from OpenAlex, David Vázquez has authored 42 papers receiving a total of 4.6k indexed citations (citations by other indexed papers that have themselves been cited), including 33 papers in Computer Vision and Pattern Recognition, 15 papers in Artificial Intelligence and 3 papers in Automotive Engineering. Recurrent topics in David Vázquez's work include Video Surveillance and Tracking Methods (22 papers), Advanced Neural Network Applications (21 papers) and Domain Adaptation and Few-Shot Learning (12 papers). David Vázquez is often cited by papers focused on Video Surveillance and Tracking Methods (22 papers), Advanced Neural Network Applications (21 papers) and Domain Adaptation and Few-Shot Learning (12 papers). David Vázquez collaborates with scholars based in Spain, Canada and Germany. David Vázquez's co-authors include Antonio M. López, Michal Drozdzal, Adriana Romero, Germán Ros, Joanna Materzyńska, Yoshua Bengio, Simon Jégou, Javier Marín, Jiaolong Xu and Aaron Courville and has published in prestigious journals such as IEEE Transactions on Pattern Analysis and Machine Intelligence, Scientific Reports and Sensors.

In The Last Decade

David Vázquez

41 papers receiving 4.4k citations

Hit Papers

The SYNTHIA Dataset: A Large Collection of Synthetic Imag... 2016 2026 2019 2022 2016 2017 2017 2021 400 800 1.2k
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.

  1. The SYNTHIA Dataset: A Large Collection of Synthetic Images for Semantic Segmentation of Urban Scenes
    2016 1.3k citations Germán Ros, Joanna Materzyńska et al. profile →
  2. The One Hundred Layers Tiramisu: Fully Convolutional DenseNets for Semantic Segmentation
    2017 1.1k citations Michal Drozdzal, David Vázquez et al. profile →
  3. A Benchmark for Endoluminal Scene Segmentation of Colonoscopy Images
    2017 496 citations David Vázquez, Jorge Bernal et al. Journal of Healthcare Engineering profile →
  4. Seasonal Contrast: Unsupervised Pre-Training from Uncurated Remote Sensing Data
    2021 202 citations Alexandre Lacoste, David Vázquez et al. profile →

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
David Vázquez Spain 23 3.1k 1.5k 656 577 435 42 4.6k
Priya Goyal India 5 3.2k 1.0× 1.6k 1.1× 671 1.0× 676 1.2× 742 1.7× 9 6.3k
Hanzi Mao United States 5 3.8k 1.2× 1.9k 1.3× 866 1.3× 869 1.5× 606 1.4× 8 7.8k
Enze Xie China 21 4.8k 1.5× 1.6k 1.1× 520 0.8× 1.6k 2.7× 586 1.3× 32 6.6k
Jun Fu China 11 3.8k 1.2× 1.4k 0.9× 611 0.9× 1.2k 2.0× 329 0.8× 18 5.4k
Zhuang Liu China 16 4.5k 1.4× 2.7k 1.9× 706 1.1× 756 1.3× 537 1.2× 27 7.5k
Ding Liang China 15 3.7k 1.2× 1.4k 1.0× 497 0.8× 969 1.7× 501 1.2× 39 5.5k
Yongjun Bao China 20 3.7k 1.2× 1.4k 1.0× 588 0.9× 1.1k 1.9× 404 0.9× 56 6.1k
Qilong Wang China 21 4.3k 1.4× 1.9k 1.3× 575 0.9× 1.2k 2.1× 648 1.5× 67 7.3k

Countries citing papers authored by David Vázquez

Since Specialization
Citations

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

Fields of papers citing papers by David Vázquez

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of David Vázquez

This figure shows the co-authorship network connecting the top 25 collaborators of David Vázquez. A scholar is included among the top collaborators of David Vázquez 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 David Vázquez. David Vázquez 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.
Lomonaco, Vincenzo, Lorenzo Pellegrini, Pau Rodríguez, et al.. (2022). CVPR 2020 continual learning in computer vision competition: Approaches, results, current challenges and future directions. CINECA IRIS Institutial research information system (University of Pisa). 23 indexed citations
2.
Laradji, Issam, et al.. (2022). A Survey of Self-Supervised and Few-Shot Object Detection. IEEE Transactions on Pattern Analysis and Machine Intelligence. 45(4). 1–20. 61 indexed citations
3.
Laradji, Issam, Alzayat Saleh, Pau Rodríguez, et al.. (2021). Weakly supervised underwater fish segmentation using affinity LCFCN. Scientific Reports. 11(1). 17379–17379. 24 indexed citations
4.
Caccia, M., Pau Rodríguez, Min Lin, et al.. (2020). Online Fast Adaptation and Knowledge Accumulation (OSAKA): a New Approach to Continual Learning. Neural Information Processing Systems. 33. 16532–16545. 23 indexed citations
5.
Laradji, Issam, Negar Rostamzadeh, Pedro O. Pinheiro, David Vázquez, & Mark Schmidt. (2020). Proposal-Based Instance Segmentation With Point Supervision. 2126–2130. 31 indexed citations
6.
Taslakian, Perouz, et al.. (2019). Knowledge Hypergraphs: Extending Knowledge Graphs Beyond Binary Relations.. arXiv (Cornell University). 9 indexed citations
7.
Rajeswar, Sai, Fahim Mannan, Florian Golemo, et al.. (2018). Pix2Scene: Learning Implicit 3D Representations from Images. 4 indexed citations
8.
Vázquez, David, Jorge Bernal, F. Javier Sánchez, et al.. (2017). A Benchmark for Endoluminal Scene Segmentation of Colonoscopy Images. Journal of Healthcare Engineering. 2017. 1–9. 496 indexed citations breakdown →
9.
López, Antonio M., et al.. (2017). Training my car to see using virtual worlds. Image and Vision Computing. 68. 102–118. 6 indexed citations
10.
Fang, Zhijie, David Vázquez, & Antonio M. López. (2017). On-Board Detection of Pedestrian Intentions. Sensors. 17(10). 2193–2193. 60 indexed citations
11.
Ros, Germán, et al.. (2016). The SYNTHIA Dataset: A Large Collection of Synthetic Images for Semantic Segmentation of Urban Scenes. 3234–3243. 1338 indexed citations breakdown →
12.
González, Alejandro, David Vázquez, Antonio M. López, & Jaume Amores. (2016). On-Board Object Detection: Multicue, Multimodal, and Multiview Random Forest of Local Experts. IEEE Transactions on Cybernetics. 47(11). 3980–3990. 78 indexed citations
13.
González, Alejandro, et al.. (2015). Multiview random forest of local experts combining RGB and LIDAR data for pedestrian detection. 356–361. 64 indexed citations
14.
Xu, Jiaolong, Sebastian Ramos, David Vázquez, & Antonio M. López. (2014). Cost-Sensitive Structured SVM for Multi-category Domain Adaptation. 3886–3891. 2 indexed citations
15.
Xu, Jiaolong, Sebastian Ramos, David Vázquez, & Antonio M. López. (2014). Domain Adaptation of Deformable Part-Based Models. IEEE Transactions on Pattern Analysis and Machine Intelligence. 36(12). 2367–2380. 71 indexed citations
16.
Xu, Jiaolong, David Vázquez, Antonio M. López, Javier Marín, & Daniel Ponsa. (2014). Learning a Part-Based Pedestrian Detector in a Virtual World. IEEE Transactions on Intelligent Transportation Systems. 15(5). 2121–2131. 33 indexed citations
17.
Vázquez, David, Jiaolong Xu, Sebastian Ramos, Antonio M. López, & Daniel Ponsa. (2013). Weakly Supervised Automatic Annotation of Pedestrian Bounding Boxes. 706–711. 4 indexed citations
18.
Xu, Jiaolong, David Vázquez, Sebastian Ramos, Antonio M. López, & Daniel Ponsa. (2013). Adapting a Pedestrian Detector by Boosting LDA Exemplar Classifiers. 688–693. 12 indexed citations
19.
Vázquez, David, Antonio M. López, & Daniel Ponsa. (2012). Unsupervised domain adaptation of virtual and real worlds for pedestrian detection. 3492–3495. 23 indexed citations
20.
Marín, Javier, David Vázquez, David Gerónimo, & Antonio M. López. (2010). Learning appearance in virtual scenarios for pedestrian detection. 137–144. 107 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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