1
|
{"id": "2a4bbee0b4cf52d5aadbbc662164f7efba89566c", "citations": [{"id": "d9bebdefa5135b214b9f2178c2b875b43ce6c08b", "title": "Pedestrian Attribute Recognition with Part-based CNN and Combined Feature Representations", "year": "2018", "pdf": ["http://www.scitepress.org/Papers/2018/66229/66229.pdf", "https://hal.archives-ouvertes.fr/hal-01625470/file/chen_visapp2018.pdf"], "doi": ["https://doi.org/10.5220/0006622901140122"]}, {"id": "aff69fb91d8bbebe989703f35ff86d5becef8c89", "title": "Adversarial Attribute-Image Person Re-identification", "year": "2018", "pdf": ["https://arxiv.org/pdf/1712.01493.pdf"], "doi": []}, {"id": "c708aa3866a122778b6f99d8eae3149649306e79", "title": "Video-Based Pedestrian Attribute Recognition", "year": "2019", "pdf": ["https://arxiv.org/pdf/1901.05742.pdf"], "doi": []}, {"id": "f41c7bb02fc97d5fb9cadd7a49c3e558a1c58a44", "title": "HydraPlus-Net: Attentive Deep Features for Pedestrian Analysis", "year": "2017", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8237308"]}, {"id": "6c9e12c7ac10b6202762b9cd7ffae3822c90c063", "title": "Deployment of Customized Deep Learning based Video Analytics On Surveillance Cameras.", "year": "2018", "pdf": ["https://arxiv.org/pdf/1805.10604.pdf"], "doi": []}, {"id": "5a677694e23fc36c08e3752e9428fb2b90ab0397", "title": "Multi-attribute Residual Network (MAResNet) for Soft-Biometrics Recognition in Surveillance Scenarios", "year": "2017", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7961767", "http://doi.ieeecomputersociety.org/10.1109/FG.2017.55", "http://doi.org/10.1109/FG.2017.55"]}, {"id": "bf665daa2efc8ea41fd4b254921dac6cee11ffa6", "title": "Attribute Recognition by Joint Recurrent Learning of Context and Correlation", "year": "2017", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8237327"]}, {"id": "50c89813eab745dc170bf440cba869d3999a2827", "title": "Hierarchical pedestrian attribute recognition based on adaptive region localization", "year": "2017", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8026292", "http://doi.ieeecomputersociety.org/10.1109/ICMEW.2017.8026292", "http://doi.org/10.1109/ICMEW.2017.8026292"]}, {"id": "7a14a1d2a034bed7d3e8cb87eab2c92098ed1cb6", "title": "Implementing a Robust Explanatory Bias in a Person Re-identification Network", "year": "2018", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8575462"]}, {"id": "cea08e768eff490c51ac1d884163cbc5ec862015", "title": "Framework for estimating distance and dimension attributes of pedestrians in real-time environments using monocular camera", "year": "2018", "pdf": [], "doi": ["http://doi.org/10.1016/j.neucom.2017.08.052"]}, {"id": "61f064c24cb9776a408b8bf4cfbcb5a5105ac31a", "title": "Multi-type attributes driven multi-camera person re-identification", "year": "2018", "pdf": [], "doi": ["http://doi.org/10.1016/j.patcog.2017.07.005"]}, {"id": "61825a32a8cb28045ef4769e35a9fea6a372a1a1", "title": "Deep learning for semantic description of visual human traits. (Apprentissage profond pour la description s\u00e9mantique des traits visuels humains)", "year": "2017", "pdf": ["https://pdfs.semanticscholar.org/6182/5a32a8cb28045ef4769e35a9fea6a372a1a1.pdf"], "doi": []}, {"id": "a81769a36c9ed7b6146a408eb253eb8e0d3ad41e", "title": "Super-Fine Attributes with Crowd Prototyping.", "year": "2018", "pdf": ["https://pdfs.semanticscholar.org/a817/69a36c9ed7b6146a408eb253eb8e0d3ad41e.pdf"], "doi": []}, {"id": "d6e8930b3758e415a09238aae4a129bbf2d5468b", "title": "A Two-Stage Attribute-Constraint Network for Video-Based Person Re-Identification", "year": "2019", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8600306", "http://doi.org/10.1109/ACCESS.2019.2890836"]}, {"id": "e0cac58f3855cd84b9d28f508b2f7711e0d7e44a", "title": "3 A : A PERSON RE-IDENTIFICATION SYSTEM VIA ATTRIBUTE AUGMENTATION AND AGGREGATION", "year": "2017", "pdf": ["https://pdfs.semanticscholar.org/e0ca/c58f3855cd84b9d28f508b2f7711e0d7e44a.pdf"], "doi": []}, {"id": "c383d55c717caaef3655be23fb051a2168e14ca2", "title": "Two-Stream Part-Based Deep Representation for Human Attribute Recognition", "year": "2018", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8411208", "http://doi.org/10.1109/ICB2018.2018.00024"]}, {"id": "37b207d2c4a82a57f80e96353f79ecd71320a854", "title": "Person Search with Natural Language Description", "year": "2017", "pdf": ["https://arxiv.org/pdf/1702.05729.pdf"], "doi": []}, {"id": "37381718559f767fc496cc34ceb98ff18bc7d3e1", "title": "Harnessing Synthesized Abstraction Images to Improve Facial Attribute Recognition", "year": "2018", "pdf": ["https://pdfs.semanticscholar.org/3738/1718559f767fc496cc34ceb98ff18bc7d3e1.pdf"], "doi": []}, {"id": "57c270a9f468f7129643852945cf3562cbb76e07", "title": "Multi-label convolutional neural network based pedestrian attribute classification", "year": "2017", "pdf": [], "doi": ["http://doi.org/10.1016/j.imavis.2016.07.004"]}, {"id": "7c349932a3d083466da58ab1674129600b12b81c", "title": "Leveraging Multiple Features for Image Retrieval and Matching", "year": "2016", "pdf": ["https://pdfs.semanticscholar.org/7c34/9932a3d083466da58ab1674129600b12b81c.pdf"], "doi": []}, {"id": "ea9857a5e5c72d435054a5a73e50dafb755a2597", "title": "Comparative study of histogram distance measures for re-identification", "year": "2016", "pdf": ["https://arxiv.org/pdf/1611.08134.pdf"], "doi": []}, {"id": "02e43d9ca736802d72824892c864e8cfde13718e", "title": "Transferring a semantic representation for person re-identification and search", "year": "2015", "pdf": ["https://arxiv.org/pdf/1706.03725.pdf"], "doi": []}, {"id": "a05a770bb2b7778e195a578006482926dfc1af82", "title": "Learning to Recognize Pedestrian Attribute", "year": "2015", "pdf": ["https://arxiv.org/pdf/1501.00901.pdf"], "doi": []}]}
|