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20162021
most citedXBadges. Identifying and training soft skills with commercial video games

1 citations · 1 across the 2 of their papers we have counts for

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cs.CV2020

Computing the Testing Error without a Testing Set

Ciprian Corneanu, Meysam Madadi, Sergio Escalera +1

Deep Neural Networks (DNNs) have revolutionized computer vision. We now have DNNs that achieve top (performance) results in many problems, including object recognition, facial expr…

cs.CV2018

Deep Structure Inference Network for Facial Action Unit Recognition

Ciprian A. Corneanu, Meysam Madadi, Sergio Escalera

Facial expressions are combinations of basic components called Action Units (AU). Recognizing AUs is key for developing general facial expression analysis. In recent years, most ef…

cs.CV2018

Survey on Emotional Body Gesture Recognition

Fatemeh Noroozi, Ciprian Adrian Corneanu, Dorota Kamińska +3

Automatic emotion recognition has become a trending research topic in the past decade. While works based on facial expressions or speech abound, recognizing affect from body gestur…

cs.CV2017

Automatic Recognition of Facial Displays of Unfelt Emotions

Kaustubh Kulkarni, Ciprian Adrian Corneanu, Ikechukwu Ofodile +5

Humans modify their facial expressions in order to communicate their internal states and sometimes to mislead observers regarding their true emotional states. Evidence in experimen…

cs.CV2016

Survey on RGB, 3D, Thermal, and Multimodal Approaches for Facial Expression Recognition: History, Trends, and Affect-related Applications

Ciprian Corneanu, Marc Oliu, Jeffrey F. Cohn +1

Facial expressions are an important way through which humans interact socially. Building a system capable of automatically recognizing facial expressions from images and video has…