3 citations · 7 across the 4 of their papers we have counts for
4 papers
Class adaptive threshold and negative class guided noisy annotation robust Facial Expression Recognition
Darshan Gera, Badveeti Naveen Siva Kumar, Bobbili Veerendra Raj Kumar +1
The hindering problem in facial expression recognition (FER) is the presence of inaccurate annotations referred to as noisy annotations in the datasets. These noisy annotations are…
ABAW : Facial Expression Recognition in the wild
Darshan Gera, Badveeti Naveen Siva Kumar, Bobbili Veerendra Raj Kumar +1
The fifth Affective Behavior Analysis in-the-wild (ABAW) competition has multiple challenges such as Valence-Arousal Estimation Challenge, Expression Classification Challenge, Acti…
Dynamic Adaptive Threshold based Learning for Noisy Annotations Robust Facial Expression Recognition
Darshan Gera, Naveen Siva Kumar Badveeti, Bobbili Veerendra Raj Kumar +1
The real-world facial expression recognition (FER) datasets suffer from noisy annotations due to crowd-sourcing, ambiguity in expressions, the subjectivity of annotators and inter-…
SS-MFAR : Semi-supervised Multi-task Facial Affect Recognition
Darshan Gera, Badveeti Naveen Siva Kumar, Bobbili Veerendra Raj Kumar +1
Automatic affect recognition has applications in many areas such as education, gaming, software development, automotives, medical care, etc. but it is non trivial task to achieve a…