SZodixStudyAcademic Library
ShelvesOpen access
Study · an open academic library·Metadata from OpenAlex (CC0)·Shelves·OpenAlex metadata, de-duplicated
Facial expression recognition based on transfer learning from deep convolutional networks
2 references·4 citing·19 second hop
Facial expression recognition based on transfer learning from deep convolutional networks (2015)Facial expression recognition based on tr…Real-Time Mobile Facial Expression Recognition System -- A Case Study (2014)Real-Time Mobile Facial Expre…The Extended Cohn-Kanade Dataset (CK+): A complete dataset for action unit and emotion-specified expression (2010)The Extended Cohn-Kanade Data…Hybrid Approach for Facial Expression Recognition Using Convolutional Neural Networks and SVM (2022)Hybrid Approach for Facial Ex…Facial Expression Recognition Under Partial Occlusion from Virtual Reality Headsets based on Transfer Learning (2020)Facial Expression Recognition…Dynamic Objectives Learning for Facial Expression Recognition (2020)Dynamic Objectives Learning f…A Joint Deep Neural Network Model for Pain Recognition from Face (2019)A Joint Deep Neural Network M…Facial Expression Recognition Using a Neural Network (1998)Facial expression recognition from video sequences: temporal and static modeling (2003)EmoReact: a multimodal approach and dataset for recognizing emotional responses in children (2016)Real-time emotion recognition from facial images using Raspberry Pi II (2016)How consumer digital signals are reshaping the customer journey (2022)Painful data: The UNBC-McMaster shoulder pain expression archive database (2011)Continuous Pain Intensity Estimation from Facial Expressions (2012)Deep Pain: Exploiting Long Short-Term Memory Networks for Facial Expression Classification (2017)The modeling of human facial pain intensity based on Temporal Convolutional Networks trained with video frames in HSV color space (2020)Two-Stream Attention Network for Pain Recognition from Video Sequences (2020)Going deeper in facial expression recognition using deep neural networks (2016)AffectNet: A Database for Facial Expression, Valence, and Arousal Computing in the Wild (2017)Reliable Crowdsourcing and Deep Locality-Preserving Learning for Expression Recognition in the Wild (2017)Toward Facial Expression Recognition in the Wild via Noise-Tolerant Network (2022)Training deep networks for facial expression recognition with crowd-sourced label distribution (2016)Facial Expression Analysis under Partial Occlusion (2018)Constants across cultures in the face and emotion. (1971)Human Abilities: Emotional Intelligence (2007)Deep Facial Expression Recognition: A Survey (2020)
this work references cited by second hop

References

  • 2010The Extended Cohn-Kanade Dataset (CK+): A complete dataset for action unit and emotion-specified expression4,299 cited
  • 2014Real-Time Mobile Facial Expression Recognition System -- A Case Study136 cited

Cited by

  • 2020Dynamic Objectives Learning for Facial Expression Recognition53 cited
  • 2019A Joint Deep Neural Network Model for Pain Recognition from Face50 cited
  • 2020Facial Expression Recognition Under Partial Occlusion from Virtual Reality Headsets based on Transfer Learning50 cited
  • 2022Hybrid Approach for Facial Expression Recognition Using Convolutional Neural Networks and SVM43 cited

Only edges whose both ends are imported exist here. Widen the year window, or show the whole map. Back to the work