Browse State-of-the-Art › Person Recognition
Person Recognition
16 papers with code · 0 benchmarks · 7 datasets archive 2025-07-28
Benchmarks archive 2025-07-28
No benchmark for this task in the archive.
Libraries
Not in the archive: the export carries no per-task library table, so there is nothing to show at snapshot 2025-07-28.
Datasets archive 2025-07-28
7 datasets whose archive record lists this task, ordered by the archive's paper count.
Subtasks archive 2025-07-28
No subtask under this task in the archive's task tree.
Most implemented papers archive 2025-07-28
16 shown of 16 papers with code (64 tagged with this task in all), ordered by repositories listed in the archive, not by stars (the archive holds no stars, so PwC's “Social” and “Latest” sorts cannot be reproduced). Papers without a page here are shown as plain text.
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3 Nov 2022 2 repositories listedFace recognition technology has advanced significantly in recent years due largely to the availability of large and increasingly complex training datasets for use in deep learning models.
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21 Mar 2017 2 repositories listedPerson re-identification (re-ID) and attribute recognition share a common target at learning pedestrian descriptions.
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7 May 2025 1 repository listedMoreover, the publicly available data sets do not realistically incorporate such kinds and magnitudes of variability, which limits the progress of this technology.
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20 Jan 2024 1 repository listedHuman re-identification (re-ID) is nowadays among the most popular topics in computer vision, due to the increasing importance given to safety/security in modern societies.
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24 Jun 2023 1 repository listedThis study investigates the efficacy of facial micro-expressions as a soft biometric for enhancing person recognition, aiming to broaden the understanding of the subject and its potential applications.
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29 Nov 2022 1 repository listedPerson re-identification (re-ID) aims to retrieve images of the same identity from a gallery of person images across cameras and viewpoints.
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19 Sep 2022 1 repository listedIn this paper, we propose a Denoising Diffusion Probabilistic Model (DDPM) based solution for T2V translation specifically for facial images.
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11 Mar 2022 1 repository listedTo help in counteracting such issues, we contribute with a database of facial images that includes several manipulations.
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13 Jan 2022 1 repository listedGiven that our experimental results show that current gait recognition approaches designed under data collected in controlled scenarios are inappropriate for real surveillance scenarios, we propose a novel gait…
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7 Aug 2021 1 repository listed Syntology ran 2 of 2 samples · 0 unverified · 2 pointer-only (licence)The main idea of the facial motion cycle-consistency is that, given a face with expression, we can perform de-expression to a neutral face via the removal of facial motion and further perform re-expression to…
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4 Aug 2021 1 repository listedIn this paper, we propose a novel hand-based person recognition method for the purpose of criminal investigations since the hand image is often the only available information in cases of serious crime such as sexual…
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15 Apr 2020 1 repository listedWith the aim of studying how current multimodal algorithms based on heterogeneous sources of information are affected by sensitive elements and inner biases in the data, we propose a fictitious automated recruitment…
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31 Jul 2019 1 repository listedRecent years have witnessed increasing attention in cartoon media, powered by the strong demands of industrial applications.
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7 Oct 2018 1 repository listedWe build CSI-Net, a unified Deep Neural Network~(DNN), to learn the representation of WiFi signals.
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8 Jun 2018 1 repository listedIn this work, we aim to move beyond such limitations and propose a new framework to leverage context for person recognition.
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22 Feb 2017 1 repository listedPerson recognition aims at recognizing the same identity across time and space with complicated scenes and similar appearance.
Syntology lines on 1 of the papers shown; no Syntology record for the others (a paper without an arXiv id cannot be joined to the graph, and absence from the graph layer is not a recorded non-run). “Ran” means the sample executed on a synthesized fixture, not that the paper's result was reproduced. Read from the graph 2026-09-24.
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