758 citations · 984 across the 17 of their papers we have counts for
6 papers · 1 filter
SEREP: Semantic Facial Expression Representation for Robust In-the-Wild Capture and Retargeting
Arthur Josi, Luiz Gustavo Hafemann, Abdallah Dib +3
Monocular facial performance capture in-the-wild is challenging due to varied capture conditions, face shapes, and expressions. Most current methods rely on linear 3D Morphable Mod…
UPose3D: Uncertainty-Aware 3D Human Pose Estimation with Cross-View and Temporal Cues
Vandad Davoodnia, Saeed Ghorbani, Marc-André Carbonneau +2
We introduce UPose3D, a novel approach for multi-view 3D human pose estimation, addressing challenges in accuracy and scalability. Our method advances existing pose estimation fram…
MoSAR: Monocular Semi-Supervised Model for Avatar Reconstruction using Differentiable Shading
Abdallah Dib, Luiz Gustavo Hafemann, Emeline Got +4
Reconstructing an avatar from a portrait image has many applications in multimedia, but remains a challenging research problem. Extracting reflectance maps and geometry from one im…
Bag-Level Aggregation for Multiple Instance Active Learning in Instance Classification Problems
Marc-André Carbonneau, Eric Granger, Ghyslain Gagnon
A growing number of applications, e.g. video surveillance and medical image analysis, require training recognition systems from large amounts of weakly annotated data while some ta…
Multiple Instance Learning: A Survey of Problem Characteristics and Applications
Marc-André Carbonneau, Veronika Cheplygina, Eric Granger +1
Multiple instance learning (MIL) is a form of weakly supervised learning where training instances are arranged in sets, called bags, and a label is provided for the entire bag. Thi…
Feature Learning from Spectrograms for Assessment of Personality Traits
Marc-André Carbonneau, Eric Granger, Yazid Attabi +1
Several methods have recently been proposed to analyze speech and automatically infer the personality of the speaker. These methods often rely on prosodic and other hand crafted sp…