Chiron Bang

dblp:366/3929 · DBLP profile ↗
← Back
1ranked-venue papers
0as first author
1since 2021 · last 2026
—ORCID · unresolved

Domains — the database's venue-derived domains; a paper can count in several

Artificial intelligence and machine learning · 1 · 1 since 2021

Expertise — from the expertise taxonomy: the topics of the expert's papers under the CCF categories. A weight counts papers with recency: 1 for a paper about the topic, 0.3 when the topic is its context, halved every five years.

Artificial intelligence
1 paper
Video understanding and tracking · 75% Probabilistic and Bayesian machine learning · 25%

Topics — the 4 heaviest of 4, each with the papers that count most for it

TopicWeightPapersLastEvidence papers
Machine learning › Probabilistic and Bayesian machine learning › structured models › latent variable model
hidden markov model
1.012026
An HMM-Based Framework for Identity-Aware Long-Term Multi-Object Tracking From Sparse and Uncertain Identification: Use Case on Long-Term Tracking in Livestock · Int. J. Comput. Vis. 2026
Computer vision › Video understanding and tracking › multi-object tracking
identity-preserving tracking
1.012026
An HMM-Based Framework for Identity-Aware Long-Term Multi-Object Tracking From Sparse and Uncertain Identification: Use Case on Long-Term Tracking in Livestock · Int. J. Comput. Vis. 2026
Computer vision › Video understanding and tracking › object tracking › robust tracking
long-term tracking
1.012026
An HMM-Based Framework for Identity-Aware Long-Term Multi-Object Tracking From Sparse and Uncertain Identification: Use Case on Long-Term Tracking in Livestock · Int. J. Comput. Vis. 2026
Computer vision › Video understanding and tracking
multi-object tracking
1.012026
An HMM-Based Framework for Identity-Aware Long-Term Multi-Object Tracking From Sparse and Uncertain Identification: Use Case on Long-Term Tracking in Livestock · Int. J. Comput. Vis. 2026

Methods — techniques the papers use, named apart from their topics

hidden markov model · 1.0
YearPublicationVenuePosition
2026 An HMM-Based Framework for Identity-Aware Long-Term Multi-Object Tracking From Sparse and Uncertain Identification: Use Case on Long-Term Tracking in Livestock
Anne Marthe Sophie Ngo Bibinbe, Chiron Bang, Patrick Gagnon, Jamie Ahloy-Dallaire, Eric R. Paquet
Int. J. Comput. Vis.2