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20162025
most citedMultiple Instance Learning: A Survey of Problem Characteristics and Applications

758 citations · 984 across the 17 of their papers we have counts for

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Showing 2024Show all

5 papers · 1 filter

cs.CV2024

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…

eess.AS2024

Spoken-Term Discovery using Discrete Speech Units

Benjamin van Niekerk, Julian Zaïdi, Marc-André Carbonneau +1

Discovering a lexicon from unlabeled audio is a longstanding challenge for zero-resource speech processing. One approach is to search for frequently occurring patterns in speech. W…

cs.CL2024

BinaryAlign: Word Alignment as Binary Sequence Labeling

Gaetan Lopez Latouche, Marc-André Carbonneau, Ben Swanson

Real world deployments of word alignment are almost certain to cover both high and low resource languages. However, the state-of-the-art for this task recommends a different model…

cs.CL2024

Zero-shot Cross-Lingual Transfer for Synthetic Data Generation in Grammatical Error Detection

Gaetan Lopez Latouche, Marc-André Carbonneau, Ben Swanson

Grammatical Error Detection (GED) methods rely heavily on human annotated error corpora. However, these annotations are unavailable in many low-resource languages. In this paper, w…

cs.CV2024

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…