{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2023:4UL4BQS3VTT4FQSJ4IXJ74SL5H","merge_version":"pith-open-graph-merge-v1","event_count":2,"valid_event_count":2,"invalid_event_count":0,"equivocation_count":0,"current":{"canonical_record":{"metadata":{"abstract_canon_sha256":"897ca64936ac339c4a8196bc4a8b68a2a6f5b29d1affeea2ebfa01b062e57e06","cross_cats_sorted":[],"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.CV","submitted_at":"2023-04-24T13:05:13Z","title_canon_sha256":"680d6aadae56d6718c6ed988dbd3de05a8fec6932187013380a7eda3e7116889"},"schema_version":"1.0","source":{"id":"2304.12069","kind":"arxiv","version":1}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2304.12069","created_at":"2026-07-05T06:03:47Z"},{"alias_kind":"arxiv_version","alias_value":"2304.12069v1","created_at":"2026-07-05T06:03:47Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2304.12069","created_at":"2026-07-05T06:03:47Z"},{"alias_kind":"pith_short_12","alias_value":"4UL4BQS3VTT4","created_at":"2026-07-05T06:03:47Z"},{"alias_kind":"pith_short_16","alias_value":"4UL4BQS3VTT4FQSJ","created_at":"2026-07-05T06:03:47Z"},{"alias_kind":"pith_short_8","alias_value":"4UL4BQS3","created_at":"2026-07-05T06:03:47Z"}],"graph_snapshots":[{"event_id":"sha256:9e23426ad8d7da76941ff13dd8ff0676ee16541afae321c2d769d70599a4b9c3","target":"graph","created_at":"2026-07-05T06:03:47Z","signer":{"key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signer_id":"pith.science","signer_type":"pith_registry"},"payload":{"graph_snapshot":{"author_claims":{"count":0,"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57","strong_count":0},"builder_version":"pith-number-builder-2026-05-17-v1","claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"formal_canon":{"evidence_count":0,"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"integrity":{"available":true,"clean":true,"detectors_run":[],"endpoint":"/pith/2304.12069/integrity.json","findings":[],"snapshot_sha256":"c28c3603d3b5d939e8dc4c7e95fa8dfce3d595e45f758748cecf8e644a296938","summary":{"advisory":0,"by_detector":{},"critical":0,"informational":0}},"paper":{"abstract_excerpt":"Occlusion is an omnipresent challenge in 3D human pose estimation (HPE). In spite of the large amount of research dedicated to 3D HPE, only a limited number of studies address the problem of occlusion explicitly. To fill this gap, we propose to combine exploitation of spatio-temporal features with synthetic occlusion augmentation during training to deal with occlusion. To this end, we build a spatio-temporal 3D HPE model, StridedPoseGraphFormer based on graph convolution and transformers, and train it using occlusion augmentation. Unlike the existing occlusion-aware methods, that are only test","authors_text":"Alejandro Mendoza Garcia, Alois Knoll, Patricia Gscho{\\ss}mann, Soubarna Banik","cross_cats":[],"headline":"","license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.CV","submitted_at":"2023-04-24T13:05:13Z","title":"Occlusion Robust 3D Human Pose Estimation with StridedPoseGraphFormer and Data Augmentation"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2304.12069","kind":"arxiv","version":1},"verdict":{"created_at":null,"id":null,"model_set":{},"one_line_summary":"","pipeline_version":null,"pith_extraction_headline":"","strongest_claim":"","weakest_assumption":""}},"verdict_id":null}}],"author_attestations":[],"timestamp_anchors":[],"storage_attestations":[],"citation_signatures":[],"replication_records":[],"corrections":[],"mirror_hints":[],"record_created":{"event_id":"sha256:53646066dcf0184dda843cc89dea561ba8599472d523ab024b70140b9428f749","target":"record","created_at":"2026-07-05T06:03:47Z","signer":{"key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signer_id":"pith.science","signer_type":"pith_registry"},"payload":{"attestation_state":"computed","canonical_record":{"metadata":{"abstract_canon_sha256":"897ca64936ac339c4a8196bc4a8b68a2a6f5b29d1affeea2ebfa01b062e57e06","cross_cats_sorted":[],"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.CV","submitted_at":"2023-04-24T13:05:13Z","title_canon_sha256":"680d6aadae56d6718c6ed988dbd3de05a8fec6932187013380a7eda3e7116889"},"schema_version":"1.0","source":{"id":"2304.12069","kind":"arxiv","version":1}},"canonical_sha256":"e517c0c25bace7c2c249e22e9ff24be9fd7eb9ea79330d337bef6aa14d458fa9","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"e517c0c25bace7c2c249e22e9ff24be9fd7eb9ea79330d337bef6aa14d458fa9","first_computed_at":"2026-07-05T06:03:47.459190Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-07-05T06:03:47.459190Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"OVVNdSHgYdHW0cQ751udlVJZlfC7StAY3GkMcQ1u69ia4fZCJ5+FWKdFwAjVZYT+6q4a6l0a3bHpVPGoBVeKDA==","signature_status":"signed_v1","signed_at":"2026-07-05T06:03:47.459541Z","signed_message":"canonical_sha256_bytes"},"source_id":"2304.12069","source_kind":"arxiv","source_version":1}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:53646066dcf0184dda843cc89dea561ba8599472d523ab024b70140b9428f749","sha256:9e23426ad8d7da76941ff13dd8ff0676ee16541afae321c2d769d70599a4b9c3"],"state_sha256":"fc9594b360d43baf225456149dc92c9407b9166f9149bcda84ef288ebc4e4d19"}