séquence facebook

I regretted the minute I pressed share

quence, Facebook users might not always anticipate the negative consequences of their online activities, and end up engaging in ac-tions that they later regret Since they are common experiences that people can recognize and describe, we use regrets as an analytic lens to investigate users’ negative experience with a social networking site

Classifying, Segmenting, and Tracking - Facebook Research

Facebook AI Abstract We introduce a method for simultaneously classifying, segmenting and tracking object instances in a video se-quence Our method, named MaskProp, adapts the popu-lar Mask R-CNN to video by adding a mask propagation branch that propagates frame-level object instance masks from each video frame to all the other frames in a

Classical Structured Prediction Losses - Facebook Research

quence models Our experiments show that these losses can perform surprisingly well by slightly outperforming beam search optimiza-tion in a like for like setup We also report new state of the art results on both IWSLT'14 German-English translation as well as Giga-word abstractive summarization On the large WMT'14 English-French task

A Case Study of Social and Media Influence on Religion

quence explains that people “not only perform responses but also notice the effects they produce” (p 17) If the outcome is posi-tive, the behavior is considered acceptable, while negative out-comes prove to follow unacceptable behavior Furthermore, anticipation for the positive or negative consequence motivates

Towards Accurate Marker-less Human Shape and Pose Estimation

quence, without the need of learning from a training dataset Third, in contrast to the sum-of-Gaussian model [40], we use the SMPL [28] body model, which naturally encodes the statistical shape and pose dependency between different body parts in a holistic way This enables our method to, not only estimate accurate 3D joint locations, but also a

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