{"id":"W4383108355","doi":"10.1109/icra48891.2023.10160538","title":"STPOTR: Simultaneous Human Trajectory and Pose Prediction Using a Non-Autoregressive Transformer for Robot Follow-Ahead","year":2023,"lang":"en","type":"article","venue":"","topic":"Human Pose and Action Recognition","field":"Computer Science","cited_by":26,"is_retracted":false,"has_abstract":true,"ca_institutions":"Simon Fraser University","funders":"Simon Fraser University; Canadian Institute for Advanced Research","keywords":"Computer science; Autoregressive model; Robot; Encoder; Artificial intelligence; Trajectory; Transformer; Leverage (statistics); Motion (physics); Computer vision; Engineering","routes":{"ca_aff":true,"ca_fund":true,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0001435757,0.0001442213,0.0001511636,0.0002155145,0.0004054407,0.0001351966,0.0001445936,0.00008723912,0.00002815081],"category_scores_gemma":[0.00001615277,0.0001310891,0.00008907516,0.0002128005,0.00003484258,0.0005351427,0.00001968215,0.00008775163,0.00002119786],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00004043381,"about_ca_system_score_gemma":0.00003981548,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00002925032,"about_ca_topic_score_gemma":0.00005160803,"domain_scores_codex":[0.9989478,0.00002272548,0.0002188844,0.0003612184,0.0001731126,0.0002762368],"domain_scores_gemma":[0.9994785,0.0001255861,0.00005792224,0.0001575212,0.00008773883,0.00009273279],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0001458792,0.0004350031,0.0007858141,0.0004176959,0.000328138,0.000183702,0.0132582,0.01225527,0.6967592,0.003517089,0.006595031,0.265319],"study_design_scores_gemma":[0.00189464,0.0005013524,0.001758576,0.00008675139,0.00004774437,0.00005125987,0.0002215682,0.9613091,0.02912721,0.003269061,0.001358453,0.0003742473],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.5081438,0.00002076474,0.4894964,0.0001246761,0.0004520526,0.0005139733,0.00002225173,0.000393217,0.0008328441],"genre_scores_gemma":[0.9941312,0.00001254428,0.004158077,0.0001328659,0.0001907695,0.00004415248,0.00003222859,0.00001678014,0.001281371],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.9490539,"threshold_uncertainty_score":0.5345659,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03973166769734375,"score_gpt":0.2962872947210346,"score_spread":0.2565556270236908,"validation_status":"score_only:v0-immature-baseline","note":"Baseline scores from an immature model (maturity gate not passed). Scores rank; they never assert a category."}}