{"about":{"non_affiliation":"Code with Papers and Syntology are not affiliated with, endorsed by, or sponsored by Papers with Code, Meta, or the pwc-archive mirror.","site":"https://codewithpapers.app","licence":"CC BY-SA 4.0","licence_url":"https://creativecommons.org/licenses/by-sa/4.0/legalcode","attribution":"https://codewithpapers.app/attribution","modified":"archive material modified by Syntology; see the attribution page","syntology":{"site":"https://syntology.ai","developers":"https://syntology.ai/developers","mcp":{"server":"https://syntology.ai/mcp","transport":"streamable-http","server_card":"https://syntology.ai/.well-known/mcp/server-card.json","auth":{"type":"trial token, no account","trial_token":"https://syntology.ai/api/oauth/trial/token","method":"POST","docs":"https://syntology.ai/developers"}},"have":"https://syntology.ai/api/graph/have?x=<method, arXiv id or title> (free, answers coverage only)","paper_base":"https://syntology.ai/paper/","atlas_base":"https://app.syntology.ai/?focus="},"machine_readable":[{"url":"https://codewithpapers.app/llms.txt","what":"the machine catalog: every machine-readable file, counted"},{"url":"https://codewithpapers.app/index/manifest.json","what":"paper-to-code index by arXiv id, with Syntology's counts"},{"url":"https://codewithpapers.app/search/manifest.json","what":"site search index (titles, authors) and its files"},{"url":"https://codewithpapers.app/download","what":"bulk files: Syntology's layer, described there"},{"url":"https://codewithpapers.app/build_manifest.json","what":"the build record: inputs, counts, exclusions, probes"}]},"url":"/task/person-re-identification/papers/14","list_of":"/task/person-re-identification","task":"Person Re-Identification","archive":{"snapshot":"2025-07-28"},"key_notes":{"n_ran_checked":"legacy name, kept unchanged so existing readers do not break: it counts the samples that ran with no instrument failure (honoured, violated, and ran with no contract checked); it does not mean a contract was checked, and the pages print it as 'K with no instrument failure', not 'K checked'","n_constructed":"a sub-count of the samples that ran, never subtracted from them and never a failure: an executed sample whose run returned an instance of its own class (fixture_out_type equals the entry name): the run built an object and did not compute a result (Syntology's RAN record, counts.constructed)"},"syntology_read_at":"2026-09-28T10:30:06+00:00","order":"archive","order_definition":"repositories listed in the archive (most first), then date (newest first), then slug","page":14,"pages_in_order":15,"rows_per_page":100,"rows":[1301,1400],"of":1488,"counts":{"archive_papers_tagged":1488,"with_a_code_link":585,"where_syntology_ran_a_sample":105,"not_listed_spam_title":0,"listed":1488,"listed_where_code_ran":105,"where_syntology_ran_a_sample_split":{"with_a_run_with_no_instrument_failure":97,"every_run_a_failure_of_syntologys_instrument":8,"listed_with_a_run_with_no_instrument_failure":97,"listed_every_run_a_failure_of_syntologys_instrument":8,"filter":{"states":["a run with no instrument failure","any run, instrument failures included"],"default":"a run with no instrument failure","note":"on the 'only where code ran' pages the default hides, in the browser, the rows where every run was a failure of Syntology's instrument; the second state shows them again. Rows are hidden, never re-ordered; these twins list every row"}},"definition":"distinct papers the archive tags; 'where Syntology ran a sample' counts papers with at least one harvested sample that ran, which is not a correctness claim"},"first_page":"/task/person-re-identification","prev":"/task/person-re-identification/papers/13","next":"/task/person-re-identification/papers/15","papers":[{"url":null,"slug":"key-person-aided-re-identification-in","title":"Key Person Aided Re-identification in Partially Ordered Pedestrian Set","date":"2018-05-25","arxiv_id":"1805.10017","repositories_listed":0,"syntology":null},{"url":null,"slug":"a-deep-structure-of-person-re-identification","title":"A Deep Structure of Person Re-Identification using Multi-Level Gaussian Models","date":"2018-05-20","arxiv_id":"1805.07720","repositories_listed":0,"syntology":null},{"url":null,"slug":"density-adaptive-kernel-based-re-ranking-for","title":"Density-Adaptive Kernel based Efficient Reranking Approaches for Person Reidentification","date":"2018-05-20","arxiv_id":"1805.07698","repositories_listed":0,"syntology":null},{"url":null,"slug":"an-evaluation-of-deep-cnn-baselines-for-scene","title":"An Evaluation of Deep CNN Baselines for Scene-Independent Person Re-Identification","date":"2018-05-16","arxiv_id":"1805.06086","repositories_listed":0,"syntology":null},{"url":null,"slug":"feature-affinity-based-pseudo-labeling-for","title":"Feature Affinity based Pseudo Labeling for Semi-supervised Person Re-identification","date":"2018-05-16","arxiv_id":"1805.06118","repositories_listed":0,"syntology":null},{"url":null,"slug":"robust-and-efficient-graph-correspondence","title":"Robust and Efficient Graph Correspondence Transfer for Person Re-identification","date":"2018-05-15","arxiv_id":"1805.06323","repositories_listed":0,"syntology":null},{"url":null,"slug":"attention-aware-compositional-network-for","title":"Attention-Aware Compositional Network for Person Re-identification","date":"2018-05-09","arxiv_id":"1805.03344","repositories_listed":0,"syntology":null},{"url":null,"slug":"sharp-attention-network-via-adaptive-sampling","title":"Sharp Attention Network via Adaptive Sampling for Person Re-identification","date":"2018-05-07","arxiv_id":"1805.02336","repositories_listed":0,"syntology":null},{"url":"/paper/domain-adaptation-through-synthesis-for","slug":"domain-adaptation-through-synthesis-for","title":"Domain Adaptation through Synthesis for Unsupervised Person Re-identification","date":"2018-04-26","arxiv_id":"1804.10094","repositories_listed":0,"syntology":null},{"url":"/paper/adaptation-and-re-identification-network-an","slug":"adaptation-and-re-identification-network-an","title":"Adaptation and Re-Identification Network: An Unsupervised Deep Transfer Learning Approach to Person Re-Identification","date":"2018-04-25","arxiv_id":"1804.09347","repositories_listed":0,"syntology":null},{"url":null,"slug":"homocentric-hypersphere-feature-embedding-for","title":"Homocentric Hypersphere Feature Embedding for Person Re-identification","date":"2018-04-24","arxiv_id":"1804.08866","repositories_listed":0,"syntology":null},{"url":"/paper/part-aligned-bilinear-representations-for","slug":"part-aligned-bilinear-representations-for","title":"Part-Aligned Bilinear Representations for Person Re-identification","date":"2018-04-19","arxiv_id":"1804.07094","repositories_listed":0,"syntology":null},{"url":null,"slug":"exploiting-feature-representations-through","title":"Exploiting feature representations through similarity learning, post-ranking and ranking aggregation for person re-identification","date":"2018-04-12","arxiv_id":"1804.04419","repositories_listed":0,"syntology":null},{"url":null,"slug":"maskreid-a-mask-based-deep-ranking-neural","title":"MaskReID: A Mask Based Deep Ranking Neural Network for Person Re-identification","date":"2018-04-11","arxiv_id":"1804.03864","repositories_listed":0,"syntology":null},{"url":null,"slug":"recurrent-neural-networks-for-person-re","title":"Recurrent Neural Networks for Person Re-identification Revisited","date":"2018-04-10","arxiv_id":"1804.03281","repositories_listed":0,"syntology":null},{"url":"/paper/occluded-person-re-identification","slug":"occluded-person-re-identification","title":"Occluded Person Re-identification","date":"2018-04-09","arxiv_id":"1804.02792","repositories_listed":0,"syntology":null},{"url":null,"slug":"graph-correspondence-transfer-for-person-re","title":"Graph Correspondence Transfer for Person Re-identification","date":"2018-04-01","arxiv_id":"1804.00242","repositories_listed":0,"syntology":null},{"url":"/paper/human-semantic-parsing-for-person-re","slug":"human-semantic-parsing-for-person-re","title":"Human Semantic Parsing for Person Re-identification","date":"2018-03-31","arxiv_id":"1804.00216","repositories_listed":0,"syntology":null},{"url":null,"slug":"efficient-and-deep-person-re-identification","title":"Efficient and Deep Person Re-Identification using Multi-Level Similarity","date":"2018-03-30","arxiv_id":"1803.11353","repositories_listed":0,"syntology":null},{"url":null,"slug":"learning-view-specific-deep-networks-for","title":"Learning View-Specific Deep Networks for Person Re-Identification","date":"2018-03-30","arxiv_id":"1803.11333","repositories_listed":0,"syntology":null},{"url":null,"slug":"adversarial-binary-coding-for-efficient","title":"Adversarial Binary Coding for Efficient Person Re-identification","date":"2018-03-29","arxiv_id":"1803.10914","repositories_listed":0,"syntology":null},{"url":"/paper/features-for-multi-target-multi-camera","slug":"features-for-multi-target-multi-camera","title":"Features for Multi-Target Multi-Camera Tracking and Re-Identification","date":"2018-03-28","arxiv_id":"1803.10859","repositories_listed":0,"syntology":null},{"url":null,"slug":"diversity-regularized-spatiotemporal","title":"Diversity Regularized Spatiotemporal Attention for Video-based Person Re-identification","date":"2018-03-27","arxiv_id":"1803.09882","repositories_listed":0,"syntology":null},{"url":null,"slug":"dual-attention-matching-network-for-context","title":"Dual Attention Matching Network for Context-Aware Feature Sequence based Person Re-Identification","date":"2018-03-27","arxiv_id":"1803.09937","repositories_listed":0,"syntology":null},{"url":null,"slug":"person-re-identification-with-fusion-of-hand","title":"Person re-identification with fusion of hand-crafted and deep pose-based body region features","date":"2018-03-27","arxiv_id":"1803.10630","repositories_listed":0,"syntology":null},{"url":null,"slug":"domain-transfer-convolutional-attribute","title":"Domain transfer convolutional attribute embedding","date":"2018-03-26","arxiv_id":"1803.09733","repositories_listed":0,"syntology":null},{"url":"/paper/transferable-joint-attribute-identity-deep","slug":"transferable-joint-attribute-identity-deep","title":"Transferable Joint Attribute-Identity Deep Learning for Unsupervised Person Re-Identification","date":"2018-03-26","arxiv_id":"1803.09786","repositories_listed":0,"syntology":null},{"url":null,"slug":"multi-level-factorisation-net-for-person-re","title":"Multi-Level Factorisation Net for Person Re-Identification","date":"2018-03-24","arxiv_id":"1803.09132","repositories_listed":0,"syntology":null},{"url":null,"slug":"weighted-bilinear-coding-over-salient-body","title":"Weighted Bilinear Coding over Salient Body Parts for Person Re-identification","date":"2018-03-22","arxiv_id":"1803.08580","repositories_listed":0,"syntology":null},{"url":null,"slug":"tracking-by-prediction-a-deep-generative","title":"Tracking by Prediction: A Deep Generative Model for Mutli-Person localisation and Tracking","date":"2018-03-09","arxiv_id":"1803.03347","repositories_listed":0,"syntology":null},{"url":null,"slug":"a-framework-with-updateable-joint-images-re","title":"A framework with updateable joint images re-ranking for Person Re-identification","date":"2018-03-08","arxiv_id":"1803.02983","repositories_listed":0,"syntology":null},{"url":null,"slug":"multi-channel-pyramid-person-matching-network","title":"Multi-Channel Pyramid Person Matching Network for Person Re-Identification","date":"2018-03-07","arxiv_id":"1803.02558","repositories_listed":0,"syntology":null},{"url":null,"slug":"pyramid-person-matching-network-for-person-re","title":"Pyramid Person Matching Network for Person Re-identification","date":"2018-03-07","arxiv_id":"1803.02547","repositories_listed":0,"syntology":null},{"url":null,"slug":"video-person-re-identification-by-temporal","title":"Video Person Re-identification by Temporal Residual Learning","date":"2018-02-22","arxiv_id":"1802.07918","repositories_listed":0,"syntology":null},{"url":null,"slug":"multi-pseudo-regularized-label-for-generated","title":"Multi-pseudo Regularized Label for Generated Data in Person Re-Identification","date":"2018-01-21","arxiv_id":"1801.06742","repositories_listed":0,"syntology":null},{"url":null,"slug":"re-id-done-right-towards-good-practices-for","title":"Re-ID done right: towards good practices for person re-identification","date":"2018-01-16","arxiv_id":"1801.05339","repositories_listed":0,"syntology":null},{"url":null,"slug":"crossing-generative-adversarial-networks-for","title":"Crossing Generative Adversarial Networks for Cross-View Person Re-identification","date":"2018-01-04","arxiv_id":"1801.01760","repositories_listed":0,"syntology":null},{"url":null,"slug":"multi-target-multi-camera-tracking-by","title":"Multi-Target, Multi-Camera Tracking by Hierarchical Clustering: Recent Progress on DukeMTMC Project","date":"2017-12-27","arxiv_id":"1712.09531","repositories_listed":0,"syntology":null},{"url":null,"slug":"lvreid-person-re-identification-with-long","title":"LVreID: Person Re-Identification with Long Sequence Videos","date":"2017-12-20","arxiv_id":"1712.07286","repositories_listed":0,"syntology":null},{"url":null,"slug":"hierarchical-cross-network-for-person-re","title":"Hierarchical Cross Network for Person Re-identification","date":"2017-12-19","arxiv_id":"1712.06820","repositories_listed":0,"syntology":null},{"url":null,"slug":"adversarial-attribute-image-person-re","title":"Adversarial Attribute-Image Person Re-identification","date":"2017-12-05","arxiv_id":"1712.01493","repositories_listed":0,"syntology":null},{"url":null,"slug":"distance-based-camera-network-topology","title":"Distance-based Camera Network Topology Inference for Person Re-identification","date":"2017-12-01","arxiv_id":"1712.00158","repositories_listed":0,"syntology":null},{"url":"/paper/region-based-quality-estimation-network-for","slug":"region-based-quality-estimation-network-for","title":"Region-based Quality Estimation Network for Large-scale Person Re-identification","date":"2017-11-23","arxiv_id":"1711.08766","repositories_listed":0,"syntology":null},{"url":null,"slug":"the-devil-is-in-the-middle-exploiting-mid","title":"The Devil is in the Middle: Exploiting Mid-level Representations for Cross-Domain Instance Matching","date":"2017-11-22","arxiv_id":"1711.08106","repositories_listed":0,"syntology":null},{"url":null,"slug":"three-stream-convolutional-networks-for-video","title":"Three-Stream Convolutional Networks for Video-based Person Re-Identification","date":"2017-11-22","arxiv_id":"1712.01652","repositories_listed":0,"syntology":null},{"url":null,"slug":"let-features-decide-for-themselves-feature","title":"Let Features Decide for Themselves: Feature Mask Network for Person Re-identification","date":"2017-11-20","arxiv_id":"1711.07155","repositories_listed":0,"syntology":null},{"url":null,"slug":"pseudo-positive-regularization-for-deep","title":"Pseudo-positive regularization for deep person re-identification","date":"2017-11-17","arxiv_id":"1711.06500","repositories_listed":0,"syntology":null},{"url":null,"slug":"one-pass-person-re-identification-by-sketch","title":"One-pass Person Re-identification by Sketch Online Discriminant Analysis","date":"2017-11-09","arxiv_id":"1711.03368","repositories_listed":0,"syntology":null},{"url":"/paper/learning-deep-context-aware-features-over","slug":"learning-deep-context-aware-features-over","title":"Learning Deep Context-aware Features over Body and Latent Parts for Person Re-identification","date":"2017-10-18","arxiv_id":"1710.06555","repositories_listed":0,"syntology":null},{"url":null,"slug":"deep-self-paced-learning-for-person-re","title":"Deep Self-Paced Learning for Person Re-Identification","date":"2017-10-07","arxiv_id":"1710.05711","repositories_listed":0,"syntology":null},{"url":null,"slug":"joint-person-re-identification-and-camera","title":"Joint Person Re-identification and Camera Network Topology Inference in Multiple Cameras","date":"2017-10-03","arxiv_id":"1710.00983","repositories_listed":0,"syntology":null},{"url":null,"slug":"person-re-identification-with-vision-and","title":"Person Re-Identification with Vision and Language","date":"2017-10-03","arxiv_id":"1710.01202","repositories_listed":0,"syntology":null},{"url":null,"slug":"a-two-stream-siamese-convolutional-neural","title":"A Two Stream Siamese Convolutional Neural Network for Person Re-Identification","date":"2017-10-01","arxiv_id":null,"repositories_listed":0,"syntology":null},{"url":null,"slug":"efficient-online-local-metric-adaptation-via","title":"Efficient Online Local Metric Adaptation via Negative Samples for Person Re-Identification","date":"2017-10-01","arxiv_id":null,"repositories_listed":0,"syntology":null},{"url":"/paper/rgb-infrared-cross-modality-person-re","slug":"rgb-infrared-cross-modality-person-re","title":"RGB-Infrared Cross-Modality Person Re-Identification","date":"2017-10-01","arxiv_id":null,"repositories_listed":0,"syntology":null},{"url":null,"slug":"shape-a-novel-graph-theoretic-algorithm-for","title":"SHaPE: A Novel Graph Theoretic Algorithm for Making Consensus-Based Decisions in Person Re-Identification Systems","date":"2017-10-01","arxiv_id":null,"repositories_listed":0,"syntology":null},{"url":"/paper/stepwise-metric-promotion-for-unsupervised","slug":"stepwise-metric-promotion-for-unsupervised","title":"Stepwise Metric Promotion for Unsupervised Video Person Re-Identification","date":"2017-10-01","arxiv_id":null,"repositories_listed":0,"syntology":null},{"url":"/paper/dynamic-label-graph-matching-for-unsupervised","slug":"dynamic-label-graph-matching-for-unsupervised","title":"Dynamic Label Graph Matching for Unsupervised Video Re-Identification","date":"2017-09-27","arxiv_id":"1709.09297","repositories_listed":0,"syntology":null},{"url":"/paper/pose-driven-deep-convolutional-model-for","slug":"pose-driven-deep-convolutional-model-for","title":"Pose-driven Deep Convolutional Model for Person Re-identification","date":"2017-09-25","arxiv_id":"1709.08325","repositories_listed":0,"syntology":null},{"url":null,"slug":"where-to-focus-deep-attention-based-spatially","title":"Where to Focus: Deep Attention-based Spatially Recurrent Bilinear Networks for Fine-Grained Visual Recognition","date":"2017-09-18","arxiv_id":"1709.05769","repositories_listed":0,"syntology":null},{"url":null,"slug":"multi-scale-deep-learning-architectures-for","title":"Multi-scale Deep Learning Architectures for Person Re-identification","date":"2017-09-15","arxiv_id":"1709.05165","repositories_listed":0,"syntology":null},{"url":"/paper/glad-global-local-alignment-descriptor-for","slug":"glad-global-local-alignment-descriptor-for","title":"GLAD: Global-Local-Alignment Descriptor for Pedestrian Retrieval","date":"2017-09-13","arxiv_id":"1709.04329","repositories_listed":0,"syntology":null},{"url":null,"slug":"large-margin-learning-in-set-to-set","title":"Large Margin Learning in Set to Set Similarity Comparison for Person Re-identification","date":"2017-08-18","arxiv_id":"1708.05512","repositories_listed":0,"syntology":null},{"url":null,"slug":"learning-deep-neural-networks-for-vehicle-re","title":"Learning Deep Neural Networks for Vehicle Re-ID with Visual-spatio-temporal Path Proposals","date":"2017-08-13","arxiv_id":"1708.03918","repositories_listed":0,"syntology":null},{"url":null,"slug":"divide-and-fuse-a-re-ranking-approach-for","title":"Divide and Fuse: A Re-ranking Approach for Person Re-identification","date":"2017-08-11","arxiv_id":"1708.04169","repositories_listed":0,"syntology":null},{"url":null,"slug":"group-re-identification-via-unsupervised","title":"Group Re-Identification via Unsupervised Transfer of Sparse Features Encoding","date":"2017-07-28","arxiv_id":"1707.09173","repositories_listed":0,"syntology":null},{"url":null,"slug":"deep-feature-learning-via-structured-graph","title":"Deep Feature Learning via Structured Graph Laplacian Embedding for Person Re-Identification","date":"2017-07-25","arxiv_id":"1707.07791","repositories_listed":0,"syntology":null},{"url":null,"slug":"person-re-identification-using-visual","title":"Person Re-identification Using Visual Attention","date":"2017-07-23","arxiv_id":"1707.07336","repositories_listed":0,"syntology":null},{"url":null,"slug":"what-and-where-to-match-deep-spatially","title":"What-and-Where to Match: Deep Spatially Multiplicative Integration Networks for Person Re-identification","date":"2017-07-21","arxiv_id":"1707.07074","repositories_listed":0,"syntology":null},{"url":null,"slug":"deep-reinforcement-learning-attention","title":"Deep Reinforcement Learning Attention Selection for Person Re-Identification","date":"2017-07-10","arxiv_id":"1707.02785","repositories_listed":0,"syntology":null},{"url":null,"slug":"learning-efficient-image-representation-for","title":"Learning Efficient Image Representation for Person Re-Identification","date":"2017-07-07","arxiv_id":"1707.02319","repositories_listed":0,"syntology":null},{"url":"/paper/deep-representation-learning-with-part-loss","slug":"deep-representation-learning-with-part-loss","title":"Deep Representation Learning with Part Loss for Person Re-Identification","date":"2017-07-04","arxiv_id":"1707.00798","repositories_listed":0,"syntology":null},{"url":null,"slug":"deep-ranking-model-by-large-adaptive-margin","title":"Deep Ranking Model by Large Adaptive Margin Learning for Person Re-identification","date":"2017-07-03","arxiv_id":"1707.00409","repositories_listed":0,"syntology":null},{"url":null,"slug":"consistent-aware-deep-learning-for-person-re","title":"Consistent-Aware Deep Learning for Person Re-Identification in a Camera Network","date":"2017-07-01","arxiv_id":null,"repositories_listed":0,"syntology":null},{"url":null,"slug":"fast-person-re-identification-via-cross","title":"Fast Person Re-Identification via Cross-Camera Semantic Binary Transformation","date":"2017-07-01","arxiv_id":null,"repositories_listed":0,"syntology":null},{"url":null,"slug":"multiple-people-tracking-by-lifted-multicut","title":"Multiple People Tracking by Lifted Multicut and Person Re-Identification","date":"2017-07-01","arxiv_id":null,"repositories_listed":0,"syntology":null},{"url":null,"slug":"one-shot-metric-learning-for-person-re","title":"One-Shot Metric Learning for Person Re-Identification","date":"2017-07-01","arxiv_id":null,"repositories_listed":0,"syntology":null},{"url":null,"slug":"point-to-set-similarity-based-deep-feature","title":"Point to Set Similarity Based Deep Feature Learning for Person Re-Identification","date":"2017-07-01","arxiv_id":null,"repositories_listed":0,"syntology":null},{"url":null,"slug":"see-the-forest-for-the-trees-joint-spatial","title":"See the Forest for the Trees: Joint Spatial and Temporal Recurrent Neural Networks for Video-Based Person Re-Identification","date":"2017-07-01","arxiv_id":null,"repositories_listed":0,"syntology":null},{"url":null,"slug":"hierarchical-gaussian-descriptors-with","title":"Hierarchical Gaussian Descriptors with Application to Person Re-Identification","date":"2017-06-14","arxiv_id":"1706.04318","repositories_listed":0,"syntology":null},{"url":null,"slug":"transferring-a-semantic-representation-for","title":"Transferring a Semantic Representation for Person Re-Identification and Search","date":"2017-06-12","arxiv_id":"1706.03725","repositories_listed":0,"syntology":null},{"url":null,"slug":"deep-adaptive-feature-embedding-with-local","title":"Deep Adaptive Feature Embedding with Local Sample Distributions for Person Re-identification","date":"2017-06-10","arxiv_id":"1706.03160","repositories_listed":0,"syntology":null},{"url":null,"slug":"unsupervised-adaptive-re-identification-in","title":"Unsupervised Adaptive Re-identification in Open World Dynamic Camera Networks","date":"2017-06-09","arxiv_id":"1706.03112","repositories_listed":0,"syntology":null},{"url":null,"slug":"rank-persistence-assessing-the-temporal","title":"Rank Persistence: Assessing the Temporal Performance of Real-World Person Re-Identification","date":"2017-06-02","arxiv_id":"1706.00553","repositories_listed":0,"syntology":null},{"url":null,"slug":"reinforced-temporal-attention-and-split-rate","title":"Reinforced Temporal Attention and Split-Rate Transfer for Depth-Based Person Re-Identification","date":"2017-05-28","arxiv_id":"1705.09882","repositories_listed":0,"syntology":null},{"url":null,"slug":"pamm-pose-aware-multi-shot-matching-for","title":"PaMM: Pose-aware Multi-shot Matching for Improving Person Re-identification","date":"2017-05-17","arxiv_id":"1705.06011","repositories_listed":0,"syntology":null},{"url":"/paper/person-re-identification-by-deep-joint","slug":"person-re-identification-by-deep-joint","title":"Person Re-Identification by Deep Joint Learning of Multi-Loss Classification","date":"2017-05-12","arxiv_id":"1705.04724","repositories_listed":0,"syntology":null},{"url":null,"slug":"part-based-deep-hashing-for-large-scale","title":"Part-based Deep Hashing for Large-scale Person Re-identification","date":"2017-05-05","arxiv_id":"1705.02145","repositories_listed":0,"syntology":null},{"url":null,"slug":"unified-framework-for-automated-person-re","title":"Unified Framework for Automated Person Re-identification and Camera Network Topology Inference in Camera Networks","date":"2017-04-24","arxiv_id":"1704.07085","repositories_listed":0,"syntology":null},{"url":null,"slug":"metric-learning-in-codebook-generation-of-bag","title":"Metric Learning in Codebook Generation of Bag-of-Words for Person Re-identification","date":"2017-04-08","arxiv_id":"1704.02492","repositories_listed":0,"syntology":null},{"url":null,"slug":"relevance-subject-machine-a-novel-person-re","title":"Relevance Subject Machine: A Novel Person Re-identification Framework","date":"2017-03-30","arxiv_id":"1703.10645","repositories_listed":0,"syntology":null},{"url":null,"slug":"robust-depth-based-person-re-identification","title":"Robust Depth-based Person Re-identification","date":"2017-03-28","arxiv_id":"1703.09474","repositories_listed":0,"syntology":null},{"url":null,"slug":"person-re-identification-by-camera","title":"Person Re-Identification by Camera Correlation Aware Feature Augmentation","date":"2017-03-26","arxiv_id":"1703.08837","repositories_listed":0,"syntology":null},{"url":"/paper/scalable-person-re-identification-on","slug":"scalable-person-re-identification-on","title":"Scalable Person Re-identification on Supervised Smoothed Manifold","date":"2017-03-24","arxiv_id":"1703.08359","repositories_listed":0,"syntology":null},{"url":null,"slug":"learning-correspondence-structures-for-person","title":"Learning Correspondence Structures for Person Re-identification","date":"2017-03-20","arxiv_id":"1703.06931","repositories_listed":0,"syntology":null},{"url":"/paper/svdnet-for-pedestrian-retrieval","slug":"svdnet-for-pedestrian-retrieval","title":"SVDNet for Pedestrian Retrieval","date":"2017-03-16","arxiv_id":"1703.05693","repositories_listed":0,"syntology":null},{"url":null,"slug":"outlier-cluster-formation-in-spectral","title":"Outlier Cluster Formation in Spectral Clustering","date":"2017-03-03","arxiv_id":"1703.01028","repositories_listed":0,"syntology":null},{"url":null,"slug":"learning-compact-appearance-representation","title":"Learning Compact Appearance Representation for Video-based Person Re-Identification","date":"2017-02-21","arxiv_id":"1702.06294","repositories_listed":0,"syntology":null},{"url":null,"slug":"deep-hybrid-similarity-learning-for-person-re","title":"Deep Hybrid Similarity Learning for Person Re-identification","date":"2017-02-16","arxiv_id":"1702.04858","repositories_listed":0,"syntology":null},{"url":null,"slug":"structured-deep-hashing-with-convolutional","title":"Structured Deep Hashing with Convolutional Neural Networks for Fast Person Re-identification","date":"2017-02-14","arxiv_id":"1702.04179","repositories_listed":0,"syntology":null}],"record_sha256":"939fced1d282ef1f6d1d957819ad6a3dc6b7d616e26e6acfd17cdf2bb4df95f8","record_changed_at":"2026-09-28","record_changed_at_basis":"first_hashed"}