{"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/13","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":13,"pages_in_order":15,"rows_per_page":100,"rows":[1201,1300],"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/12","next":"/task/person-re-identification/papers/14","papers":[{"url":null,"slug":"beyond-intra-modality-discrepancy-a","title":"Beyond Intra-modality: A Survey of Heterogeneous Person Re-identification","date":"2019-05-24","arxiv_id":"1905.10048","repositories_listed":0,"syntology":null},{"url":null,"slug":"domain-adaptive-person-re-identification-via","title":"Domain Adaptive Person Re-Identification via Camera Style Generation and Label Propagation","date":"2019-05-14","arxiv_id":"1905.05382","repositories_listed":0,"syntology":null},{"url":null,"slug":"group-re-identification-via-transferred","title":"DotSCN: Group Re-identification via Domain-Transferred Single and Couple Representation Learning","date":"2019-05-13","arxiv_id":"1905.04854","repositories_listed":0,"syntology":null},{"url":null,"slug":"illumination-adaptive-person-re","title":"Illumination-Adaptive Person Re-identification","date":"2019-05-11","arxiv_id":"1905.04525","repositories_listed":0,"syntology":null},{"url":null,"slug":"towards-egocentric-person-re-identification","title":"Towards Egocentric Person Re-identification and Social Pattern Analysis","date":"2019-05-10","arxiv_id":"1905.04073","repositories_listed":0,"syntology":null},{"url":null,"slug":"improved-hard-example-mining-by-discovering","title":"Improved Hard Example Mining by Discovering Attribute-based Hard Person Identity","date":"2019-05-06","arxiv_id":"1905.02102","repositories_listed":0,"syntology":null},{"url":null,"slug":"intra-clip-aggregation-for-video-person-re","title":"Intra-clip Aggregation for Video Person Re-identification","date":"2019-05-05","arxiv_id":"1905.01722","repositories_listed":0,"syntology":null},{"url":null,"slug":"multi-scale-body-part-mask-guided-attention","title":"Multi-Scale Body-Part Mask Guided Attention for Person Re-identification","date":"2019-04-24","arxiv_id":"1904.11041","repositories_listed":0,"syntology":null},{"url":null,"slug":"an-introduction-to-person-re-identification","title":"An Introduction to Person Re-identification with Generative Adversarial Networks","date":"2019-04-12","arxiv_id":"1904.05992","repositories_listed":0,"syntology":null},{"url":null,"slug":"foreground-aware-pyramid-reconstruction-for","title":"Foreground-aware Pyramid Reconstruction for Alignment-free Occluded Person Re-identification","date":"2019-04-10","arxiv_id":"1904.04975","repositories_listed":0,"syntology":null},{"url":null,"slug":"imitating-targets-from-all-sides-an","title":"Imitating Targets from all sides: An Unsupervised Transfer Learning method for Person Re-identification","date":"2019-04-10","arxiv_id":"1904.05020","repositories_listed":0,"syntology":null},{"url":null,"slug":"person-re-identification-with-metric-learning","title":"Person Re-identification with Metric Learning using Privileged Information","date":"2019-04-10","arxiv_id":"1904.05005","repositories_listed":0,"syntology":null},{"url":null,"slug":"convolutional-temporal-attention-model-for","title":"Convolutional Temporal Attention Model for Video-based Person Re-identification","date":"2019-04-09","arxiv_id":"1904.04492","repositories_listed":0,"syntology":null},{"url":null,"slug":"weakly-supervised-person-re-identification-1","title":"Weakly Supervised Person Re-Identification","date":"2019-04-08","arxiv_id":"1904.03832","repositories_listed":0,"syntology":null},{"url":"/paper/a-novel-unsupervised-camera-aware-domain","slug":"a-novel-unsupervised-camera-aware-domain","title":"A Novel Unsupervised Camera-aware Domain Adaptation Framework for Person Re-identification","date":"2019-04-06","arxiv_id":"1904.03425","repositories_listed":0,"syntology":null},{"url":null,"slug":"re-identification-supervised-texture","title":"Re-Identification Supervised Texture Generation","date":"2019-04-06","arxiv_id":"1904.03385","repositories_listed":0,"syntology":null},{"url":null,"slug":"cross-entropy-adversarial-view-adaptation-for","title":"Cross-Entropy Adversarial View Adaptation for Person Re-identification","date":"2019-04-03","arxiv_id":"1904.01755","repositories_listed":0,"syntology":null},{"url":null,"slug":"learning-context-graph-for-person-search","title":"Learning Context Graph for Person Search","date":"2019-04-03","arxiv_id":"1904.01830","repositories_listed":0,"syntology":null},{"url":null,"slug":"camera-adversarial-transfer-for-unsupervised","title":"CANU-ReID: A Conditional Adversarial Network for Unsupervised person Re-IDentification","date":"2019-04-02","arxiv_id":"1904.01308","repositories_listed":0,"syntology":null},{"url":null,"slug":"pedestrian-re-identification-based-on-tree","title":"Pedestrian re-identification based on Tree branch network with local and global learning","date":"2019-03-31","arxiv_id":"1904.00355","repositories_listed":0,"syntology":null},{"url":"/paper/person-re-identification-with-bias-controlled","slug":"person-re-identification-with-bias-controlled","title":"Person Re-identification with Bias-controlled Adversarial Training","date":"2019-03-30","arxiv_id":"1904.00244","repositories_listed":0,"syntology":null},{"url":null,"slug":"few-shot-deep-adversarial-learning-for-video","title":"Few-Shot Deep Adversarial Learning for Video-based Person Re-identification","date":"2019-03-29","arxiv_id":"1903.12395","repositories_listed":0,"syntology":null},{"url":null,"slug":"gan-based-pose-aware-regulation-for-video","title":"GAN-based Pose-aware Regulation for Video-based Person Re-identification","date":"2019-03-27","arxiv_id":"1903.11552","repositories_listed":0,"syntology":null},{"url":null,"slug":"stnreid-deep-convolutional-networks-with","title":"STNReID : Deep Convolutional Networks with Pairwise Spatial Transformer Networks for Partial Person Re-identification","date":"2019-03-17","arxiv_id":"1903.07072","repositories_listed":0,"syntology":null},{"url":null,"slug":"inserting-videos-into-videos","title":"Inserting Videos into Videos","date":"2019-03-15","arxiv_id":"1903.06571","repositories_listed":0,"syntology":null},{"url":null,"slug":"learning-feature-aggregation-in-temporal","title":"Learning Feature Aggregation in Temporal Domain for Re-Identification","date":"2019-03-12","arxiv_id":"1903.05244","repositories_listed":0,"syntology":null},{"url":null,"slug":"attributes-aided-part-detection-and","title":"Attributes-aided Part Detection and Refinement for Person Re-identification","date":"2019-02-27","arxiv_id":"1902.10528","repositories_listed":0,"syntology":null},{"url":null,"slug":"person-re-identification-in-videos-by","title":"Person Re-identification in Videos by Analyzing Spatio-Temporal Tubes","date":"2019-02-13","arxiv_id":"1902.04856","repositories_listed":0,"syntology":null},{"url":null,"slug":"exploring-uncertainty-in-conditional-multi","title":"Exploring Uncertainty in Conditional Multi-Modal Retrieval Systems","date":"2019-01-23","arxiv_id":"1901.07702","repositories_listed":0,"syntology":null},{"url":null,"slug":"ensemble-feature-for-person-re-identification","title":"Ensemble Feature for Person Re-Identification","date":"2019-01-17","arxiv_id":"1901.05798","repositories_listed":0,"syntology":null},{"url":null,"slug":"3d-personvlad-learning-deep-global","title":"3D PersonVLAD: Learning Deep Global Representations for Video-based Person Re-identification","date":"2018-12-26","arxiv_id":"1812.10222","repositories_listed":0,"syntology":null},{"url":null,"slug":"egoreid-person-re-identification-in","title":"EgoReID Dataset: Person Re-identification in Videos Acquired by Mobile Devices with First-Person Point-of-View","date":"2018-12-22","arxiv_id":"1812.09570","repositories_listed":0,"syntology":null},{"url":null,"slug":"a-deep-four-stream-siamese-convolutional","title":"A Deep Four-Stream Siamese Convolutional Neural Network with Joint Verification and Identification Loss for Person Re-detection","date":"2018-12-21","arxiv_id":"1812.08983","repositories_listed":0,"syntology":null},{"url":null,"slug":"cluster-loss-for-person-re-identification","title":"Cluster Loss for Person Re-Identification","date":"2018-12-21","arxiv_id":"1812.10325","repositories_listed":0,"syntology":null},{"url":null,"slug":"densely-semantically-aligned-person-re","title":"Densely Semantically Aligned Person Re-Identification","date":"2018-12-21","arxiv_id":"1812.08967","repositories_listed":0,"syntology":null},{"url":null,"slug":"learning-incremental-triplet-margin-for","title":"Learning Incremental Triplet Margin for Person Re-identification","date":"2018-12-17","arxiv_id":"1812.06576","repositories_listed":0,"syntology":null},{"url":null,"slug":"deep-active-learning-for-video-based-person","title":"Deep Active Learning for Video-based Person Re-identification","date":"2018-12-14","arxiv_id":"1812.05785","repositories_listed":0,"syntology":null},{"url":null,"slug":"omni-directional-feature-learning-for-person","title":"Omni-directional Feature Learning for Person Re-identification","date":"2018-12-13","arxiv_id":"1812.05319","repositories_listed":0,"syntology":null},{"url":null,"slug":"optimizing-speedaccuracy-trade-off-for-person","title":"Optimizing speed/accuracy trade-off for person re-identification via knowledge distillation","date":"2018-12-07","arxiv_id":"1812.02937","repositories_listed":0,"syntology":null},{"url":null,"slug":"accelerating-large-scale-knowledge","title":"Accelerating Large Scale Knowledge Distillation via Dynamic Importance Sampling","date":"2018-12-03","arxiv_id":"1812.00914","repositories_listed":0,"syntology":null},{"url":null,"slug":"identity-preserving-generative-adversarial","title":"Identity Preserving Generative Adversarial Network for Cross-Domain Person Re-identification","date":"2018-11-28","arxiv_id":"1811.11510","repositories_listed":0,"syntology":null},{"url":null,"slug":"similarity-preserving-image-image-domain","title":"Similarity-preserving Image-image Domain Adaptation for Person Re-identification","date":"2018-11-26","arxiv_id":"1811.10551","repositories_listed":0,"syntology":null},{"url":null,"slug":"adaptive-re-ranking-of-deep-feature-for","title":"Adaptive Re-ranking of Deep Feature for Person Re-identification","date":"2018-11-21","arxiv_id":"1811.08561","repositories_listed":0,"syntology":null},{"url":null,"slug":"factorized-distillation-training-holistic","title":"Factorized Distillation: Training Holistic Person Re-identification Model by Distilling an Ensemble of Partial ReID Models","date":"2018-11-20","arxiv_id":"1811.08073","repositories_listed":0,"syntology":null},{"url":null,"slug":"sequence-based-person-attribute-recognition","title":"Sequence-based Person Attribute Recognition with Joint CTC-Attention Model","date":"2018-11-20","arxiv_id":"1811.08115","repositories_listed":0,"syntology":null},{"url":null,"slug":"ca3net-contextual-attentional-attribute","title":"CA3Net: Contextual-Attentional Attribute-Appearance Network for Person Re-Identification","date":"2018-11-19","arxiv_id":"1811.07544","repositories_listed":0,"syntology":null},{"url":"/paper/iqiyi-vid-a-large-dataset-for-multi-modal","slug":"iqiyi-vid-a-large-dataset-for-multi-modal","title":"iQIYI-VID: A Large Dataset for Multi-modal Person Identification","date":"2018-11-19","arxiv_id":"1811.07548","repositories_listed":0,"syntology":null},{"url":null,"slug":"multi-scale-3d-convolution-network-for-video","title":"Multi-scale 3D Convolution Network for Video Based Person Re-Identification","date":"2018-11-19","arxiv_id":"1811.07468","repositories_listed":0,"syntology":null},{"url":null,"slug":"re-identification-with-consistent-attentive","title":"Re-Identification with Consistent Attentive Siamese Networks","date":"2018-11-19","arxiv_id":"1811.07487","repositories_listed":0,"syntology":null},{"url":null,"slug":"can-composite-appearance-network-and-a-novel","title":"CAN: Composite Appearance Network for Person Tracking and How to Model Errors in a Tracking System","date":"2018-11-15","arxiv_id":"1811.06582","repositories_listed":0,"syntology":null},{"url":null,"slug":"m2m-gan-many-to-many-generative-adversarial","title":"M2M-GAN: Many-to-Many Generative Adversarial Transfer Learning for Person Re-Identification","date":"2018-11-09","arxiv_id":"1811.03768","repositories_listed":0,"syntology":null},{"url":null,"slug":"multiple-people-tracking-using-hierarchical","title":"Multiple People Tracking Using Hierarchical Deep Tracklet Re-identification","date":"2018-11-09","arxiv_id":"1811.04091","repositories_listed":0,"syntology":null},{"url":null,"slug":"sta-spatial-temporal-attention-for-large","title":"STA: Spatial-Temporal Attention for Large-Scale Video-based Person Re-Identification","date":"2018-11-09","arxiv_id":"1811.04129","repositories_listed":0,"syntology":null},{"url":null,"slug":"query-adaptive-late-fusion-for-image","title":"Query Adaptive Late Fusion for Image Retrieval","date":"2018-10-31","arxiv_id":"1810.13103","repositories_listed":0,"syntology":null},{"url":null,"slug":"a-cross-modal-distillation-network-for-person","title":"Cross-Modal Distillation for RGB-Depth Person Re-Identification","date":"2018-10-27","arxiv_id":"1810.11641","repositories_listed":0,"syntology":null},{"url":null,"slug":"cross-resolution-person-re-identification","title":"Cross-Resolution Person Re-identification with Deep Antithetical Learning","date":"2018-10-24","arxiv_id":"1810.10221","repositories_listed":0,"syntology":null},{"url":null,"slug":"deep-person-re-identification-for","title":"Deep Person Re-identification for Probabilistic Data Association in Multiple Pedestrian Tracking","date":"2018-10-19","arxiv_id":"1810.08565","repositories_listed":0,"syntology":null},{"url":null,"slug":"scpnet-spatial-channel-parallelism-network","title":"SCPNet: Spatial-Channel Parallelism Network for Joint Holistic and Partial Person Re-Identification","date":"2018-10-16","arxiv_id":"1810.06996","repositories_listed":0,"syntology":null},{"url":null,"slug":"attention-driven-person-re-identification","title":"Attention Driven Person Re-identification","date":"2018-10-13","arxiv_id":"1810.05866","repositories_listed":0,"syntology":null},{"url":null,"slug":"image-to-video-person-re-identification-by","title":"Image-to-Video Person Re-Identification by Reusing Cross-modal Embeddings","date":"2018-10-04","arxiv_id":"1810.03989","repositories_listed":0,"syntology":null},{"url":null,"slug":"random-occlusion-recovery-for-person-re","title":"Random Occlusion-recovery for Person Re-identification","date":"2018-09-26","arxiv_id":"1809.09970","repositories_listed":0,"syntology":null},{"url":"/paper/unsupervised-person-re-identification-by-deep-1","slug":"unsupervised-person-re-identification-by-deep-1","title":"Unsupervised Person Re-identification by Deep Learning Tracklet Association","date":"2018-09-08","arxiv_id":"1809.02874","repositories_listed":0,"syntology":null},{"url":null,"slug":"mancs-a-multi-task-attentional-network-with","title":"Mancs: A Multi-task Attentional Network with Curriculum Sampling for Person Re-identification","date":"2018-09-01","arxiv_id":null,"repositories_listed":0,"syntology":null},{"url":"/paper/robust-anchor-embedding-for-unsupervised","slug":"robust-anchor-embedding-for-unsupervised","title":"Robust Anchor Embedding for Unsupervised Video Person Re-Identification in the Wild","date":"2018-09-01","arxiv_id":null,"repositories_listed":0,"syntology":null},{"url":null,"slug":"person-re-identification-by-semantic-region","title":"Person Re-Identification by Semantic Region Representation and Topology Constraint","date":"2018-08-20","arxiv_id":"1808.06280","repositories_listed":0,"syntology":null},{"url":null,"slug":"measuring-the-temporal-behavior-of-real-world","title":"Measuring the Temporal Behavior of Real-World Person Re-Identification","date":"2018-08-16","arxiv_id":"1808.05499","repositories_listed":0,"syntology":null},{"url":"/paper/improving-deep-visual-representation-for","slug":"improving-deep-visual-representation-for","title":"Improving Deep Visual Representation for Person Re-identification by Global and Local Image-language Association","date":"2018-08-05","arxiv_id":"1808.01571","repositories_listed":0,"syntology":null},{"url":null,"slug":"multi-shot-person-re-identification-through","title":"Multi-shot Person Re-identification through Set Distance with Visual Distributional Representation","date":"2018-08-03","arxiv_id":"1808.01119","repositories_listed":0,"syntology":null},{"url":null,"slug":"where-and-when-to-look-deep-siamese-attention","title":"Where-and-When to Look: Deep Siamese Attention Networks for Video-based Person Re-identification","date":"2018-08-03","arxiv_id":"1808.01911","repositories_listed":0,"syntology":null},{"url":null,"slug":"maximum-margin-metric-learning-over","title":"Maximum Margin Metric Learning Over Discriminative Nullspace for Person Re-identification","date":"2018-07-28","arxiv_id":"1807.10908","repositories_listed":0,"syntology":null},{"url":null,"slug":"adversarial-open-world-person-re","title":"Adversarial Open-World Person Re-Identification","date":"2018-07-27","arxiv_id":"1807.10482","repositories_listed":0,"syntology":null},{"url":"/paper/person-re-identification-with-deep-similarity","slug":"person-re-identification-with-deep-similarity","title":"Person Re-identification with Deep Similarity-Guided Graph Neural Network","date":"2018-07-26","arxiv_id":"1807.09975","repositories_listed":0,"syntology":null},{"url":null,"slug":"person-re-identification-across-different","title":"Person re-identification across different datasets with multi-task learning","date":"2018-07-25","arxiv_id":"1807.09666","repositories_listed":0,"syntology":null},{"url":null,"slug":"partial-person-re-identification-with","title":"Partial Person Re-identification with Alignment and Hallucination","date":"2018-07-24","arxiv_id":"1807.09162","repositories_listed":0,"syntology":null},{"url":null,"slug":"improving-deep-models-of-person-re","title":"Improving Deep Models of Person Re-identification for Cross-Dataset Usage","date":"2018-07-23","arxiv_id":"1807.08526","repositories_listed":0,"syntology":null},{"url":null,"slug":"person-search-via-a-mask-guided-two-stream","title":"Person Search via A Mask-Guided Two-Stream CNN Model","date":"2018-07-21","arxiv_id":"1807.08107","repositories_listed":0,"syntology":null},{"url":null,"slug":"operator-in-the-loop-deep-sequential-multi","title":"Operator-in-the-Loop Deep Sequential Multi-camera Feature Fusion for Person Re-identification","date":"2018-07-19","arxiv_id":"1807.07295","repositories_listed":0,"syntology":null},{"url":null,"slug":"metric-embedding-autoencoders-for","title":"Metric Embedding Autoencoders for Unsupervised Cross-Dataset Transfer Learning","date":"2018-07-18","arxiv_id":"1807.10591","repositories_listed":0,"syntology":null},{"url":null,"slug":"scan-self-and-collaborative-attention-network","title":"SCAN: Self-and-Collaborative Attention Network for Video Person Re-identification","date":"2018-07-16","arxiv_id":"1807.05688","repositories_listed":0,"syntology":null},{"url":null,"slug":"spatial-temporal-synergic-residual-learning","title":"Spatial-Temporal Synergic Residual Learning for Video Person Re-Identification","date":"2018-07-16","arxiv_id":"1807.05799","repositories_listed":0,"syntology":null},{"url":null,"slug":"survey-on-deep-learning-techniques-for-person","title":"Survey on Deep Learning Techniques for Person Re-Identification Task","date":"2018-07-13","arxiv_id":"1807.05284","repositories_listed":0,"syntology":null},{"url":null,"slug":"video-based-person-re-identification-via-3d","title":"Video-based Person Re-identification via 3D Convolutional Networks and Non-local Attention","date":"2018-07-12","arxiv_id":"1807.05073","repositories_listed":0,"syntology":null},{"url":null,"slug":"discriminative-feature-learning-with","title":"Discriminative Feature Learning with Foreground Attention for Person Re-Identification","date":"2018-07-04","arxiv_id":"1807.01455","repositories_listed":0,"syntology":null},{"url":null,"slug":"multi-task-mid-level-feature-alignment","title":"Multi-task Mid-level Feature Alignment Network for Unsupervised Cross-Dataset Person Re-Identification","date":"2018-07-04","arxiv_id":"1807.01440","repositories_listed":0,"syntology":null},{"url":null,"slug":"a-spatial-and-temporal-features-mixture-model","title":"A Spatial and Temporal Features Mixture Model with Body Parts for Video-based Person Re-Identification","date":"2018-07-03","arxiv_id":"1807.00975","repositories_listed":0,"syntology":null},{"url":null,"slug":"person-re-identification-in-identity","title":"Person Re-Identification in Identity Regression Space","date":"2018-06-25","arxiv_id":"1806.09695","repositories_listed":0,"syntology":null},{"url":null,"slug":"attention-based-few-shot-person-re","title":"Attention-based Few-Shot Person Re-identification Using Meta Learning","date":"2018-06-24","arxiv_id":"1806.09613","repositories_listed":0,"syntology":null},{"url":null,"slug":"improving-online-multiple-object-tracking","title":"Deep Similarity Metric Learning for Real-Time Pedestrian Tracking","date":"2018-06-20","arxiv_id":"1806.07592","repositories_listed":0,"syntology":null},{"url":null,"slug":"convex-class-model-on-symmetric-positive","title":"Convex Class Model on Symmetric Positive Definite Manifolds","date":"2018-06-14","arxiv_id":"1806.05343","repositories_listed":0,"syntology":null},{"url":null,"slug":"semantically-selective-augmentation-for-deep","title":"Semantically Selective Augmentation for Deep Compact Person Re-Identification","date":"2018-06-11","arxiv_id":"1806.04074","repositories_listed":0,"syntology":null},{"url":null,"slug":"adversarially-occluded-samples-for-person-re","title":"Adversarially Occluded Samples for Person Re-Identification","date":"2018-06-01","arxiv_id":null,"repositories_listed":0,"syntology":null},{"url":null,"slug":"easy-identification-from-better-constraints","title":"Easy Identification From Better Constraints: Multi-Shot Person Re-Identification From Reference Constraints","date":"2018-06-01","arxiv_id":null,"repositories_listed":0,"syntology":null},{"url":null,"slug":"eliminating-background-bias-for-robust-person","title":"Eliminating Background-Bias for Robust Person Re-Identification","date":"2018-06-01","arxiv_id":null,"repositories_listed":0,"syntology":null},{"url":"/paper/exploit-the-unknown-gradually-one-shot-video","slug":"exploit-the-unknown-gradually-one-shot-video","title":"Exploit the Unknown Gradually: One-Shot Video-Based Person Re-Identification by Stepwise Learning","date":"2018-06-01","arxiv_id":null,"repositories_listed":0,"syntology":null},{"url":null,"slug":"exploiting-transitivity-for-learning-person","title":"Exploiting Transitivity for Learning Person Re-Identification Models on a Budget","date":"2018-06-01","arxiv_id":null,"repositories_listed":0,"syntology":null},{"url":null,"slug":"group-consistent-similarity-learning-via-deep","title":"Group Consistent Similarity Learning via Deep CRF for Person Re-Identification","date":"2018-06-01","arxiv_id":null,"repositories_listed":0,"syntology":null},{"url":null,"slug":"multistage-adversarial-losses-for-pose-based","title":"Multistage Adversarial Losses for Pose-Based Human Image Synthesis","date":"2018-06-01","arxiv_id":null,"repositories_listed":0,"syntology":null},{"url":null,"slug":"person-re-identification-with-cascaded","title":"Person Re-Identification With Cascaded Pairwise Convolutions","date":"2018-06-01","arxiv_id":null,"repositories_listed":0,"syntology":null},{"url":null,"slug":"pose-transferrable-person-re-identification","title":"Pose Transferrable Person Re-Identification","date":"2018-06-01","arxiv_id":null,"repositories_listed":0,"syntology":null},{"url":"/paper/video-person-re-identification-with","slug":"video-person-re-identification-with","title":"Video Person Re-Identification With Competitive Snippet-Similarity Aggregation and Co-Attentive Snippet Embedding","date":"2018-06-01","arxiv_id":null,"repositories_listed":0,"syntology":null}],"record_sha256":"1fde191b4245e5f0021d777f4b94ffa56343c7866a796f8530b41c2fdd3e3fb7","record_changed_at":"2026-09-28","record_changed_at_basis":"first_hashed"}