7 citations · 13 across the 34 of their papers we have counts for
5 papers · 2 filters
Pain Analysis using Adaptive Hierarchical Spatiotemporal Dynamic Imaging
Issam Serraoui, Eric Granger, Abdenour Hadid +1
Automatic pain intensity estimation plays a pivotal role in healthcare and medical fields. While many methods have been developed to gauge human pain using behavioral or physiologi…
Subject-Based Domain Adaptation for Facial Expression Recognition
Muhammad Osama Zeeshan, Muhammad Haseeb Aslam, Soufiane Belharbi +4
Adapting a deep learning model to a specific target individual is a challenging facial expression recognition (FER) task that may be achieved using unsupervised domain adaptation (…
Evaluating Supervision Levels Trade-Offs for Infrared-Based People Counting
David Latortue, Moetez Kdayem, Fidel A Guerrero Peña +2
Object detection models are commonly used for people counting (and localization) in many applications but require a dataset with costly bounding box annotations for training. Given…
DiPS: Discriminative Pseudo-Label Sampling with Self-Supervised Transformers for Weakly Supervised Object Localization
Shakeeb Murtaza, Soufiane Belharbi, Marco Pedersoli +2
Self-supervised vision transformers (SSTs) have shown great potential to yield rich localization maps that highlight different objects in an image. However, these maps remain class…
HalluciDet: Hallucinating RGB Modality for Person Detection Through Privileged Information
Heitor Rapela Medeiros, Fidel A. Guerrero Pena, Masih Aminbeidokhti +3
A powerful way to adapt a visual recognition model to a new domain is through image translation. However, common image translation approaches only focus on generating data from the…