Dídac Surís
About
Dídac Surís is a scholar working on Computer Vision and Pattern Recognition, Artificial Intelligence and Signal Processing.
According to data from OpenAlex, Dídac Surís has authored 10 papers receiving a total of 180 indexed citations (citations by other indexed papers that have themselves been cited), including 10 papers in Computer Vision and Pattern Recognition, 3 papers in Artificial Intelligence and 2 papers in Signal Processing. Recurrent topics in Dídac Surís’s work include Multimodal Machine Learning Applications (5 papers), Advanced Image and Video Retrieval Techniques (4 papers) and Human Pose and Action Recognition (3 papers). Dídac Surís is often cited by papers focused on Multimodal Machine Learning Applications (5 papers), Advanced Image and Video Retrieval Techniques (4 papers) and Human Pose and Action Recognition (3 papers). Dídac Surís collaborates with scholars based in United States. Dídac Surís's co-authors include Carl Vondrick, Sachit Menon, James Glass, David Harwath, Antonio Torralba, Adrià Recasens, Ruoshi Liu, Galen Chuang, Bryan Russell and Justin Salamon 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
Co-authorship network of co-authors of Dídac Surís i
Fields of papers citing papers by Dídac Surís
Since SpecializationEngineeringComputer SciencePhysics and AstronomyMathematicsEarth and Planetary SciencesEnergyEnvironmental ScienceMaterials ScienceChemical EngineeringChemistryAgricultural and Biological SciencesVeterinaryDecision SciencesArts and HumanitiesBusiness, Management and AccountingSocial SciencesPsychologyEconomics, Econometrics and FinanceHealth ProfessionsDentistryMedicineBiochemistry, Genetics and Molecular BiologyNeuroscienceNursingImmunology and MicrobiologyPharmacology, Toxicology and Pharmaceutics
This network shows the specialization of papers citing the papers produced by Dídac Surís. Nodes represent fields, and links connect fields that are likely to share authors. The network helps show where Dídac Surís may publish in the future.
Countries citing papers authored by Dídac Surís
Since SpecializationCitations
This map shows the geographic impact of Dídac Surís'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 Dídac Surís with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Dídac Surís more than expected).
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