{"record_type":"pith_number_record","schema_url":"https://pith.science/schemas/pith-number/v1.json","pith_number":"pith:2017:D2ILMV6PASVMIZGLZOU5BFOKA3","short_pith_number":"pith:D2ILMV6P","schema_version":"1.0","canonical_sha256":"1e90b657cf04aac464cbcba9d095ca06c5c67a5a0e7a2037a827f87e545f105d","source":{"kind":"arxiv","id":"1707.05938","version":1},"attestation_state":"computed","paper":{"title":"Face Alignment Robust to Pose, Expressions and Occlusions","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","headline":"","cross_cats":[],"primary_cat":"cs.CV","authors_text":"Jongju Shin, Myung-Cheol Roh, Takaharu Oguri, Takeo Kanade, Vishnu Naresh Boddeti","submitted_at":"2017-07-19T05:05:31Z","abstract_excerpt":"We propose an Ensemble of Robust Constrained Local Models for alignment of faces in the presence of significant occlusions and of any unknown pose and expression. To account for partial occlusions we introduce, Robust Constrained Local Models, that comprises of a deformable shape and local landmark appearance model and reasons over binary occlusion labels. Our occlusion reasoning proceeds by a hypothesize-and-test search over occlusion labels. Hypotheses are generated by Constrained Local Model based shape fitting over randomly sampled subsets of landmark detector responses and are evaluated b"},"verification_status":{"content_addressed":true,"pith_receipt":true,"author_attested":false,"weak_author_claims":0,"strong_author_claims":0,"externally_anchored":false,"storage_verified":false,"citation_signatures":0,"replication_records":0,"graph_snapshot":true,"references_resolved":false,"formal_links_present":false},"canonical_record":{"source":{"id":"1707.05938","kind":"arxiv","version":1},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CV","submitted_at":"2017-07-19T05:05:31Z","cross_cats_sorted":[],"title_canon_sha256":"522ae8126f60ff3bedf32eebf7af58190db210682145ee83a41321f7f5d85007","abstract_canon_sha256":"0ecbc2dffebcd19577abcf70373760c9a9a4f634af8e8346f502d0b540003cf6"},"schema_version":"1.0"},"receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-05-18T00:39:58.905452Z","signature_b64":"ECnna4SynAr1TirFfrzD+bkBcf3dsOcAC50eyMfRXQn4XXyilYBqG8mC+p2c6BqG5KSURPOP5DTDDe61GktWCw==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"1e90b657cf04aac464cbcba9d095ca06c5c67a5a0e7a2037a827f87e545f105d","last_reissued_at":"2026-05-18T00:39:58.904980Z","signature_status":"signed_v1","first_computed_at":"2026-05-18T00:39:58.904980Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"graph_snapshot":{"paper":{"title":"Face Alignment Robust to Pose, Expressions and Occlusions","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","headline":"","cross_cats":[],"primary_cat":"cs.CV","authors_text":"Jongju Shin, Myung-Cheol Roh, Takaharu Oguri, Takeo Kanade, Vishnu Naresh Boddeti","submitted_at":"2017-07-19T05:05:31Z","abstract_excerpt":"We propose an Ensemble of Robust Constrained Local Models for alignment of faces in the presence of significant occlusions and of any unknown pose and expression. To account for partial occlusions we introduce, Robust Constrained Local Models, that comprises of a deformable shape and local landmark appearance model and reasons over binary occlusion labels. Our occlusion reasoning proceeds by a hypothesize-and-test search over occlusion labels. Hypotheses are generated by Constrained Local Model based shape fitting over randomly sampled subsets of landmark detector responses and are evaluated b"},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"1707.05938","kind":"arxiv","version":1},"verdict":{"id":null,"model_set":{},"created_at":null,"strongest_claim":"","one_line_summary":"","pipeline_version":null,"weakest_assumption":"","pith_extraction_headline":""},"references":{"count":0,"sample":[],"resolved_work":0,"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57","internal_anchors":0},"formal_canon":{"evidence_count":0,"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"author_claims":{"count":0,"strong_count":0,"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"builder_version":"pith-number-builder-2026-05-17-v1"},"aliases":[{"alias_kind":"arxiv","alias_value":"1707.05938","created_at":"2026-05-18T00:39:58.905043+00:00"},{"alias_kind":"arxiv_version","alias_value":"1707.05938v1","created_at":"2026-05-18T00:39:58.905043+00:00"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.1707.05938","created_at":"2026-05-18T00:39:58.905043+00:00"},{"alias_kind":"pith_short_12","alias_value":"D2ILMV6PASVM","created_at":"2026-05-18T12:31:10.602751+00:00"},{"alias_kind":"pith_short_16","alias_value":"D2ILMV6PASVMIZGL","created_at":"2026-05-18T12:31:10.602751+00:00"},{"alias_kind":"pith_short_8","alias_value":"D2ILMV6P","created_at":"2026-05-18T12:31:10.602751+00:00"}],"events":[],"event_summary":{},"paper_claims":[],"inbound_citations":{"count":1,"internal_anchor_count":1,"sample":[{"citing_arxiv_id":"1907.03248","citing_title":"Tree-gated Deep Regressor Ensemble For Face Alignment In The Wild","ref_index":2,"is_internal_anchor":true}]},"formal_canon":{"evidence_count":0,"sample":[],"anchors":[]},"links":{"html":"https://pith.science/pith/D2ILMV6PASVMIZGLZOU5BFOKA3","json":"https://pith.science/pith/D2ILMV6PASVMIZGLZOU5BFOKA3.json","graph_json":"https://pith.science/api/pith-number/D2ILMV6PASVMIZGLZOU5BFOKA3/graph.json","events_json":"https://pith.science/api/pith-number/D2ILMV6PASVMIZGLZOU5BFOKA3/events.json","paper":"https://pith.science/paper/D2ILMV6P"},"agent_actions":{"view_html":"https://pith.science/pith/D2ILMV6PASVMIZGLZOU5BFOKA3","download_json":"https://pith.science/pith/D2ILMV6PASVMIZGLZOU5BFOKA3.json","view_paper":"https://pith.science/paper/D2ILMV6P","resolve_alias":"https://pith.science/api/pith-number/resolve?arxiv=1707.05938&json=true","fetch_graph":"https://pith.science/api/pith-number/D2ILMV6PASVMIZGLZOU5BFOKA3/graph.json","fetch_events":"https://pith.science/api/pith-number/D2ILMV6PASVMIZGLZOU5BFOKA3/events.json","actions":{"anchor_timestamp":"https://pith.science/pith/D2ILMV6PASVMIZGLZOU5BFOKA3/action/timestamp_anchor","attest_storage":"https://pith.science/pith/D2ILMV6PASVMIZGLZOU5BFOKA3/action/storage_attestation","attest_author":"https://pith.science/pith/D2ILMV6PASVMIZGLZOU5BFOKA3/action/author_attestation","sign_citation":"https://pith.science/pith/D2ILMV6PASVMIZGLZOU5BFOKA3/action/citation_signature","submit_replication":"https://pith.science/pith/D2ILMV6PASVMIZGLZOU5BFOKA3/action/replication_record"}},"created_at":"2026-05-18T00:39:58.905043+00:00","updated_at":"2026-05-18T00:39:58.905043+00:00"}