Goecke, Roland

Static facial expression analysis in tough conditions: Data, evaluation protocol and benchmark

Dhall, A., Goecke, R., Lucey, S., & Gedeon, T. (2011) · 2011 IEEE International Conference on Computer Vision Workshops (ICCV Workshops)

Emotion and Mood RecognitionFace recognition and analysis

Cited by 541

Video and Image based Emotion Recognition Challenges in the Wild: EmotiW 2015

Dhall, A., Ramana Murthy, O. V., Goecke, R., Joshi, J., & Gedeon, T. (2015) · Proceedings of the 2015 ACM on International Conference on Multimodal Interaction

Emotion and Mood RecognitionFace and Expression Recognition

Cited by 305

From individual to group-level emotion recognition: EmotiW 5.0

Dhall, A., Goecke, R., Ghosh, S., Joshi, J., Hoey, J., & Gedeon, T. (2017) · Proceedings of the 19th ACM International Conference on Multimodal Interaction

Emotion and Mood RecognitionFace recognition and analysis

Cited by 218

Emotion recognition in the wild challenge 2013

Dhall, A., Goecke, R., Joshi, J., Wagner, M., & Gedeon, T. (2013) · Proceedings of the 15th ACM on International conference on multimodal interaction

Emotion and Mood RecognitionSentiment Analysis and Opinion Mining

Cited by 178

The more the merrier: Analysing the affect of a group of people in images

Dhall, A., Joshi, J., Sikka, K., Goecke, R., & Sebe, N. (2015) · 2015 11th IEEE International Conference and Workshops on Automatic Face and Gesture Recognition (FG)

Emotion and Mood RecognitionImage Retrieval and Classification Techniques

Cited by 93

Synthesis of a six-bar mechanism for generating knee and ankle motion trajectories using deep generative neural network

Kapsalyamov, A., Hussain, S., Brown, N. A. T., Goecke, R., Hayat, M., & Jamwal, P. K. (2023) · Engineering Applications of Artificial Intelligence

Prosthetics and Rehabilitation RoboticsRobotic Mechanisms and Dynamics

Cited by 45