{"record_type":"pith_number_record","schema_url":"https://pith.science/schemas/pith-number/v1.json","pith_number":"pith:2019:5JWBROMGT6ONKW44XRRZHYGMMC","short_pith_number":"pith:5JWBROMG","schema_version":"1.0","canonical_sha256":"ea6c18b9869f9cd55b9cbc6393e0cc60a866afadb62e0aa551eaa0bfb2483481","source":{"kind":"arxiv","id":"1904.02382","version":1},"attestation_state":"computed","paper":{"title":"Inferring Dynamic Representations of Facial Actions from a Still Image","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","headline":"","cross_cats":[],"primary_cat":"cs.CV","authors_text":"Alan Johnston, Enrique S\\'anchez-Lozano, Linlin Shen, Michel Valstar, Siyang Song","submitted_at":"2019-04-04T07:15:53Z","abstract_excerpt":"Facial actions are spatio-temporal signals by nature, and therefore their modeling is crucially dependent on the availability of temporal information. In this paper, we focus on inferring such temporal dynamics of facial actions when no explicit temporal information is available, i.e. from still images. We present a novel approach to capture multiple scales of such temporal dynamics, with an application to facial Action Unit (AU) intensity estimation and dimensional affect estimation. In particular, 1) we propose a framework that infers a dynamic representation (DR) from a still image, which c"},"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":"1904.02382","kind":"arxiv","version":1},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CV","submitted_at":"2019-04-04T07:15:53Z","cross_cats_sorted":[],"title_canon_sha256":"91be65e950f63b79f91f42a31b2d7f59bc64ba028c65df9e4e58a4a32df3470d","abstract_canon_sha256":"445d00c9e0113ce06d9f06b376d71e44393c0186340844f0247256a891542411"},"schema_version":"1.0"},"receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-05-17T23:49:23.847683Z","signature_b64":"sse3OPxRyLN5VMWsycsRz/u+Ph0aYul6lHKKds6WT6KCE37khsyhyWa7fVeD+eWUfzk9oMTCdN7KKS6VerRFAw==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"ea6c18b9869f9cd55b9cbc6393e0cc60a866afadb62e0aa551eaa0bfb2483481","last_reissued_at":"2026-05-17T23:49:23.847281Z","signature_status":"signed_v1","first_computed_at":"2026-05-17T23:49:23.847281Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"graph_snapshot":{"paper":{"title":"Inferring Dynamic Representations of Facial Actions from a Still Image","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","headline":"","cross_cats":[],"primary_cat":"cs.CV","authors_text":"Alan Johnston, Enrique S\\'anchez-Lozano, Linlin Shen, Michel Valstar, Siyang Song","submitted_at":"2019-04-04T07:15:53Z","abstract_excerpt":"Facial actions are spatio-temporal signals by nature, and therefore their modeling is crucially dependent on the availability of temporal information. In this paper, we focus on inferring such temporal dynamics of facial actions when no explicit temporal information is available, i.e. from still images. We present a novel approach to capture multiple scales of such temporal dynamics, with an application to facial Action Unit (AU) intensity estimation and dimensional affect estimation. In particular, 1) we propose a framework that infers a dynamic representation (DR) from a still image, which c"},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"1904.02382","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":"1904.02382","created_at":"2026-05-17T23:49:23.847344+00:00"},{"alias_kind":"arxiv_version","alias_value":"1904.02382v1","created_at":"2026-05-17T23:49:23.847344+00:00"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.1904.02382","created_at":"2026-05-17T23:49:23.847344+00:00"},{"alias_kind":"pith_short_12","alias_value":"5JWBROMGT6ON","created_at":"2026-05-18T12:33:10.108867+00:00"},{"alias_kind":"pith_short_16","alias_value":"5JWBROMGT6ONKW44","created_at":"2026-05-18T12:33:10.108867+00:00"},{"alias_kind":"pith_short_8","alias_value":"5JWBROMG","created_at":"2026-05-18T12:33:10.108867+00:00"}],"events":[],"event_summary":{},"paper_claims":[],"inbound_citations":{"count":0,"internal_anchor_count":0,"sample":[]},"formal_canon":{"evidence_count":0,"sample":[],"anchors":[]},"links":{"html":"https://pith.science/pith/5JWBROMGT6ONKW44XRRZHYGMMC","json":"https://pith.science/pith/5JWBROMGT6ONKW44XRRZHYGMMC.json","graph_json":"https://pith.science/api/pith-number/5JWBROMGT6ONKW44XRRZHYGMMC/graph.json","events_json":"https://pith.science/api/pith-number/5JWBROMGT6ONKW44XRRZHYGMMC/events.json","paper":"https://pith.science/paper/5JWBROMG"},"agent_actions":{"view_html":"https://pith.science/pith/5JWBROMGT6ONKW44XRRZHYGMMC","download_json":"https://pith.science/pith/5JWBROMGT6ONKW44XRRZHYGMMC.json","view_paper":"https://pith.science/paper/5JWBROMG","resolve_alias":"https://pith.science/api/pith-number/resolve?arxiv=1904.02382&json=true","fetch_graph":"https://pith.science/api/pith-number/5JWBROMGT6ONKW44XRRZHYGMMC/graph.json","fetch_events":"https://pith.science/api/pith-number/5JWBROMGT6ONKW44XRRZHYGMMC/events.json","actions":{"anchor_timestamp":"https://pith.science/pith/5JWBROMGT6ONKW44XRRZHYGMMC/action/timestamp_anchor","attest_storage":"https://pith.science/pith/5JWBROMGT6ONKW44XRRZHYGMMC/action/storage_attestation","attest_author":"https://pith.science/pith/5JWBROMGT6ONKW44XRRZHYGMMC/action/author_attestation","sign_citation":"https://pith.science/pith/5JWBROMGT6ONKW44XRRZHYGMMC/action/citation_signature","submit_replication":"https://pith.science/pith/5JWBROMGT6ONKW44XRRZHYGMMC/action/replication_record"}},"created_at":"2026-05-17T23:49:23.847344+00:00","updated_at":"2026-05-17T23:49:23.847344+00:00"}