3 citations · 4 across the 4 of their papers we have counts for
4 papers
Beyond the Fold: Quantifying Split-Level Noise and the Case for Leave-One-Dataset-Out AU Evaluation
Saurabh Hinduja, Gurmeet Kaur, Maneesh Bilalpur +2
Subject-exclusive cross-validation is the standard evaluation protocol for facial Action Unit (AU) detection, yet reported improvements are often small. We show that cross-validati…
Random Forest Regression for continuous affect using Facial Action Units
Saurabh Hinduja, Shaun Canavan, Liza Jivnani +2
In this paper we describe our approach to the arousal and valence track of the 3rd Workshop and Competition on Affective Behavior Analysis in-the-wild (ABAW). We extracted facial f…
Impact of Action Unit Occurrence Patterns on Detection
Saurabh Hinduja, Shaun Canavan, Saandeep Aathreya
Detecting action units is an important task in face analysis, especially in facial expression recognition. This is due, in part, to the idea that expressions can be decomposed into…
Facial Action Unit Detection using 3D Facial Landmarks
Saurabh Hinduja, Shaun Canavan
In this paper, we propose to detect facial action units (AU) using 3D facial landmarks. Specifically, we train a 2D convolutional neural network (CNN) on 3D facial landmarks, track…