Matches in SemOpenAlex for { <https://semopenalex.org/work/W2950255061> ?p ?o ?g. }
- W2950255061 abstract "Suppose that we are given a set of videos, along with natural language descriptions in the form of multiple sentences (e.g., manual annotations, movie scripts, sport summaries etc.), and that these sentences appear in the same temporal order as their visual counterparts. We propose in this paper a method for aligning the two modalities, i.e., automatically providing a time stamp for every sentence. Given vectorial features for both video and text, we propose to cast this task as a temporal assignment problem, with an implicit linear mapping between the two feature modalities. We formulate this problem as an integer quadratic program, and solve its continuous convex relaxation using an efficient conditional gradient algorithm. Several rounding procedures are proposed to construct the final integer solution. After demonstrating significant improvements over the state of the art on the related task of aligning video with symbolic labels [7], we evaluate our method on a challenging dataset of videos with associated textual descriptions [36], using both bag-of-words and continuous representations for text." @default.
- W2950255061 created "2019-06-27" @default.
- W2950255061 creator A5001483226 @default.
- W2950255061 creator A5010796935 @default.
- W2950255061 creator A5035420035 @default.
- W2950255061 creator A5039530212 @default.
- W2950255061 creator A5045217258 @default.
- W2950255061 creator A5069316249 @default.
- W2950255061 creator A5087781064 @default.
- W2950255061 date "2015-05-22" @default.
- W2950255061 modified "2023-09-27" @default.
- W2950255061 title "Weakly-Supervised Alignment of Video With Text" @default.
- W2950255061 cites W1485012117 @default.
- W2950255061 cites W1560013842 @default.
- W2950255061 cites W1666447063 @default.
- W2950255061 cites W1839676122 @default.
- W2950255061 cites W1897761818 @default.
- W2950255061 cites W1906515132 @default.
- W2950255061 cites W1947481528 @default.
- W2950255061 cites W1963920598 @default.
- W2950255061 cites W1967503362 @default.
- W2950255061 cites W2012609801 @default.
- W2950255061 cites W2025341678 @default.
- W2950255061 cites W2070753207 @default.
- W2950255061 cites W2086052791 @default.
- W2950255061 cites W2097180427 @default.
- W2950255061 cites W2100235303 @default.
- W2950255061 cites W2104952380 @default.
- W2950255061 cites W2105101328 @default.
- W2950255061 cites W2108282816 @default.
- W2950255061 cites W2109586012 @default.
- W2950255061 cites W2110933980 @default.
- W2950255061 cites W2111078031 @default.
- W2950255061 cites W2112912048 @default.
- W2950255061 cites W2119031011 @default.
- W2950255061 cites W2123024445 @default.
- W2950255061 cites W2123442489 @default.
- W2950255061 cites W2128107557 @default.
- W2950255061 cites W2128160875 @default.
- W2950255061 cites W2136885855 @default.
- W2950255061 cites W2137471889 @default.
- W2950255061 cites W2138332955 @default.
- W2950255061 cites W2142194269 @default.
- W2950255061 cites W2149557440 @default.
- W2950255061 cites W2150696241 @default.
- W2950255061 cites W2155870214 @default.
- W2950255061 cites W2158324326 @default.
- W2950255061 cites W2163292664 @default.
- W2950255061 cites W2798766386 @default.
- W2950255061 cites W2949447259 @default.
- W2950255061 cites W2949594863 @default.
- W2950255061 cites W2950133940 @default.
- W2950255061 cites W2951183276 @default.
- W2950255061 cites W2964040984 @default.
- W2950255061 cites W68733909 @default.
- W2950255061 cites W95926497 @default.
- W2950255061 hasPublicationYear "2015" @default.
- W2950255061 type Work @default.
- W2950255061 sameAs 2950255061 @default.
- W2950255061 citedByCount "16" @default.
- W2950255061 countsByYear W29502550612015 @default.
- W2950255061 countsByYear W29502550612016 @default.
- W2950255061 countsByYear W29502550612017 @default.
- W2950255061 countsByYear W29502550612018 @default.
- W2950255061 countsByYear W29502550612019 @default.
- W2950255061 crossrefType "posted-content" @default.
- W2950255061 hasAuthorship W2950255061A5001483226 @default.
- W2950255061 hasAuthorship W2950255061A5010796935 @default.
- W2950255061 hasAuthorship W2950255061A5035420035 @default.
- W2950255061 hasAuthorship W2950255061A5039530212 @default.
- W2950255061 hasAuthorship W2950255061A5045217258 @default.
- W2950255061 hasAuthorship W2950255061A5069316249 @default.
- W2950255061 hasAuthorship W2950255061A5087781064 @default.
- W2950255061 hasConcept C111919701 @default.
- W2950255061 hasConcept C136625980 @default.
- W2950255061 hasConcept C138885662 @default.
- W2950255061 hasConcept C144024400 @default.
- W2950255061 hasConcept C153180895 @default.
- W2950255061 hasConcept C154945302 @default.
- W2950255061 hasConcept C162324750 @default.
- W2950255061 hasConcept C177264268 @default.
- W2950255061 hasConcept C187736073 @default.
- W2950255061 hasConcept C199360897 @default.
- W2950255061 hasConcept C204321447 @default.
- W2950255061 hasConcept C2776401178 @default.
- W2950255061 hasConcept C2777530160 @default.
- W2950255061 hasConcept C2779903281 @default.
- W2950255061 hasConcept C2780451532 @default.
- W2950255061 hasConcept C2780801425 @default.
- W2950255061 hasConcept C36289849 @default.
- W2950255061 hasConcept C41008148 @default.
- W2950255061 hasConcept C41895202 @default.
- W2950255061 hasConcept C61423126 @default.
- W2950255061 hasConcept C97137487 @default.
- W2950255061 hasConceptScore W2950255061C111919701 @default.
- W2950255061 hasConceptScore W2950255061C136625980 @default.
- W2950255061 hasConceptScore W2950255061C138885662 @default.
- W2950255061 hasConceptScore W2950255061C144024400 @default.
- W2950255061 hasConceptScore W2950255061C153180895 @default.
- W2950255061 hasConceptScore W2950255061C154945302 @default.