Matches in SemOpenAlex for { <https://semopenalex.org/work/W4360764581> ?p ?o ?g. }
Showing items 1 to 90 of
90
with 100 items per page.
- W4360764581 abstract "In this paper, we present a context-free unsupervised approach based on a self-conditioned GAN to learn different modes from 2D trajectories. Our intuition is that each mode indicates a different behavioral moving pattern in the discriminator’s feature space. We apply this approach to the problem of trajectory forecasting. We present three different training settings based on self-conditioned GAN, which produce better forecasters. We test our method in two data sets: human motion and road agents. Experimental results show that our approach outperforms previous context-free methods in the least representative supervised labels while performing well in the remaining labels. In addition, our approach outperforms globally in human motion, while performing well in road agents." @default.
- W4360764581 created "2023-03-25" @default.
- W4360764581 creator A5029477586 @default.
- W4360764581 creator A5035565146 @default.
- W4360764581 creator A5037112784 @default.
- W4360764581 date "2022-12-01" @default.
- W4360764581 modified "2023-10-16" @default.
- W4360764581 title "Context-free Self-Conditioned GAN for Trajectory Forecasting" @default.
- W4360764581 cites W2064675550 @default.
- W4360764581 cites W2157331557 @default.
- W4360764581 cites W2424778531 @default.
- W4360764581 cites W2519106163 @default.
- W4360764581 cites W2856090605 @default.
- W4360764581 cites W2883286874 @default.
- W4360764581 cites W2895072925 @default.
- W4360764581 cites W2905513778 @default.
- W4360764581 cites W2955189650 @default.
- W4360764581 cites W2962687116 @default.
- W4360764581 cites W2962770929 @default.
- W4360764581 cites W2963001155 @default.
- W4360764581 cites W2963306805 @default.
- W4360764581 cites W2963761396 @default.
- W4360764581 cites W3003235888 @default.
- W4360764581 cites W3003906095 @default.
- W4360764581 cites W3034523045 @default.
- W4360764581 cites W3035574324 @default.
- W4360764581 cites W3037376004 @default.
- W4360764581 cites W3044013888 @default.
- W4360764581 cites W3106257603 @default.
- W4360764581 cites W3108653208 @default.
- W4360764581 cites W3118834000 @default.
- W4360764581 cites W4206074635 @default.
- W4360764581 doi "https://doi.org/10.1109/icmla55696.2022.00196" @default.
- W4360764581 hasPublicationYear "2022" @default.
- W4360764581 type Work @default.
- W4360764581 citedByCount "0" @default.
- W4360764581 crossrefType "proceedings-article" @default.
- W4360764581 hasAuthorship W4360764581A5029477586 @default.
- W4360764581 hasAuthorship W4360764581A5035565146 @default.
- W4360764581 hasAuthorship W4360764581A5037112784 @default.
- W4360764581 hasConcept C104114177 @default.
- W4360764581 hasConcept C111472728 @default.
- W4360764581 hasConcept C119857082 @default.
- W4360764581 hasConcept C121332964 @default.
- W4360764581 hasConcept C1276947 @default.
- W4360764581 hasConcept C132010649 @default.
- W4360764581 hasConcept C13662910 @default.
- W4360764581 hasConcept C138885662 @default.
- W4360764581 hasConcept C151730666 @default.
- W4360764581 hasConcept C154945302 @default.
- W4360764581 hasConcept C2779343474 @default.
- W4360764581 hasConcept C2779803651 @default.
- W4360764581 hasConcept C41008148 @default.
- W4360764581 hasConcept C76155785 @default.
- W4360764581 hasConcept C8038995 @default.
- W4360764581 hasConcept C86803240 @default.
- W4360764581 hasConcept C94915269 @default.
- W4360764581 hasConceptScore W4360764581C104114177 @default.
- W4360764581 hasConceptScore W4360764581C111472728 @default.
- W4360764581 hasConceptScore W4360764581C119857082 @default.
- W4360764581 hasConceptScore W4360764581C121332964 @default.
- W4360764581 hasConceptScore W4360764581C1276947 @default.
- W4360764581 hasConceptScore W4360764581C132010649 @default.
- W4360764581 hasConceptScore W4360764581C13662910 @default.
- W4360764581 hasConceptScore W4360764581C138885662 @default.
- W4360764581 hasConceptScore W4360764581C151730666 @default.
- W4360764581 hasConceptScore W4360764581C154945302 @default.
- W4360764581 hasConceptScore W4360764581C2779343474 @default.
- W4360764581 hasConceptScore W4360764581C2779803651 @default.
- W4360764581 hasConceptScore W4360764581C41008148 @default.
- W4360764581 hasConceptScore W4360764581C76155785 @default.
- W4360764581 hasConceptScore W4360764581C8038995 @default.
- W4360764581 hasConceptScore W4360764581C86803240 @default.
- W4360764581 hasConceptScore W4360764581C94915269 @default.
- W4360764581 hasLocation W43607645811 @default.
- W4360764581 hasOpenAccess W4360764581 @default.
- W4360764581 hasPrimaryLocation W43607645811 @default.
- W4360764581 hasRelatedWork W3046775127 @default.
- W4360764581 hasRelatedWork W3087576162 @default.
- W4360764581 hasRelatedWork W3095538999 @default.
- W4360764581 hasRelatedWork W3123344745 @default.
- W4360764581 hasRelatedWork W3196155444 @default.
- W4360764581 hasRelatedWork W3209574120 @default.
- W4360764581 hasRelatedWork W3210156800 @default.
- W4360764581 hasRelatedWork W4287665842 @default.
- W4360764581 hasRelatedWork W4306321456 @default.
- W4360764581 hasRelatedWork W4309401974 @default.
- W4360764581 isParatext "false" @default.
- W4360764581 isRetracted "false" @default.
- W4360764581 workType "article" @default.