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+neural+network+for+predicting+beliefs+and+their+dynamics+during+human+social+interactions+from+multimodal+input.+ToM+is+key+for+effective+nonverbal+human+communication+and+collaboration%252C+yet%252C+existing+methods+for+belief+modelling+have+not+included+explicit+ToM+modelling+or+have+typically+been+limited+to+one+or+two+modalities.+MToMnet+encodes+contextual+cues+(scene+videos+and+object+locations)+and+integrates+them+with+person-specific+cues+(human+gaze+and+body+language)+in+a+separate+MindNet+for+each+person.+Inspired+by+prior+research+on+social+cognition+and+computational+ToM%252C+we+propose+three+different+MToMnet+variants%3a+two+involving+fusion+of+latent+representations+and+one+involving+re-ranking+of+classification+scores.+We+evaluate+our+approach+on+two+challenging+real-world+datasets%252C+one+focusing+on+belief+prediction%252C+while+the+other+examining+belief+dynamics+prediction.+Our+results+demonstrate+that+MToMnet+surpasses+existing+methods+by+a+large+margin+while+at+the+same+time+requiring+a+significantly+smaller+number+of+parameters.+Taken+together%252C+our+method+opens+up+a+highly+promising+direction+for+future+work+on+artificial+intelligent+systems+that+can+robustly+predict+human+beliefs+from+their+non-verbal+behaviour+and%252C+as+such%252C+more+effectively+collaborate+with+humans.&cdnurl=https%3a%2f%2fth.bing.com%2fth%2fid%2fR.35b2d8221cd267826277ac17abee5d05%3frik%3dRGd5aFHeSzkR%252fA%26pid%3dImgRaw%26r%3d0&exph=630&expw=1200&q=Graphical+Belief+Modelling&FORM=IRPRST&ck=55F2FD3009A6111D6F8D15CD2E03B416&selectedIndex=2&itb=0)
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