Most current vision algorithms deliver their output ‘as is’, without indicating whether it is correct or not. In this paper we propose evaluator algorithms that predict if a vision algorithm has succeeded. We illustrate this idea for the case of Human Pose Estimation (HPE). We describe the stages required to learn and test an evaluator, including the use of an annotated ground truth dataset for...

High levels of acute and chronic stress are known to impair problem-solving and creativity on a broad range of tasks. Despite this evidence, we know little about protective factors for mitigating the deleterious effects of stress on problem-solving. Building on previous research showing that self-affirmation can buffer stress, we tested whether an experimental manipulation of self-affirmation i...

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Some years ago, the notion of attribute coupled grammars was introduced by Ganzinger and Giegerich 4], together with descrip-tional composition. The latter works essentially at the speciication level, i.e., it produces an attribute grammar which speciies the composition of two attribute coupled grammars. We introduce a new approach to this composition of attribute coupled grammars. This composi...

We propose a method for constructing Dempster-Shafer belief functions modeling the trust of a given agent (the evaluator) in another (the target) by combining statistical information concerning the past behaviour of the target and arguments concerning the target’s expected behaviour. These arguments are built from current and past contracts between evaluator and target. We prove that our method...

Narcissists and nonnarcissists were insulted by high-status and low-status evaluators and were given an opportunity to self-protect with a comparative (evaluator derogation; Experiment 1) and noncomparative (inflated state self-esteem; Experiments 1 and 2) strategy. Narcissists engaged in comparative self-protection indiscriminately (i.e., derogating both low-status and high-status evaluators),...