VLDB 2026 Research / reviewers in the wild / expert
Eric R. Paquet
dblp:67/11028
· DBLP profile ↗
2ranked-venue papers
1as first author
1since 2021 · last 2026
0000-0001-9194-1655ORCID · reported
Domains — the database's venue-derived domains; a paper can count in several
Artificial intelligence and machine learning · 1 · 1 since 2021Applied, interdisciplinary, general and emerging computing · 1 · 1 first-author
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
| Topic | Weight | Papers | Last | Evidence papers |
|---|---|---|---|---|
Machine learning › Probabilistic and Bayesian machine learning › structured models › latent variable model
hidden markov model |
1.0 | 1 | 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 · Int. J. Comput. Vis. 2026 |
Computer vision › Video understanding and tracking › multi-object tracking
identity-preserving tracking |
1.0 | 1 | 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 · Int. J. Comput. Vis. 2026 |
Computer vision › Video understanding and tracking › object tracking › robust tracking
long-term tracking |
1.0 | 1 | 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 · Int. J. Comput. Vis. 2026 |
Computer vision › Video understanding and tracking
multi-object tracking |
1.0 | 1 | 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 · Int. J. Comput. Vis. 2026 |
Methods — techniques the papers use, named apart from their topics
hidden markov model · 1.0
| Year | Publication | Venue | Position |
|---|---|---|---|
| 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. | 5 |
| 2008 | Modeling an Evolutionary Conserved Circadian Cis-ElementabstractCircadian oscillator networks rely on a transcriptional activator called CLOCK/CYCLE (CLK/CYC) in insects and CLOCK/BMAL1 or NPAS2/BMAL1 in mammals. Identifying the targets of this heterodimeric basic-helix-loop-helix (bHLH) transcription factor poses challenges and it has been difficult to decipher its specific sequence affinity beyond a canonical E-box motif, except perhaps for some flanking bases contributing weakly to the binding energy. Thus, no good computational model presently exists for predicting CLK/CYC, CLOCK/BMAL1, or NPAS2/BMAL1 targets. Here, we use a comparative genomics approach and first study the conservation properties of the best-known circadian enhancer: a 69-bp element upstream of the Drosophila melanogaster period gene. This fragment shows a signal involving the presence of two closely spaced E-box-like motifs, a configuration that we can also detect in the other four prominent CLK/CYC target genes in flies: timeless, vrille, Pdp1, and cwo. This allows for the training of a probabilistic sequence model that we test using functional genomics datasets. We find that the predicted sequences are overrepresented in promoters of genes induced in a recent study by a glucocorticoid receptor-CLK fusion protein. We then scanned the mouse genome with the fly model and found that many known CLOCK/BMAL1 targets harbor sequences matching our consensus. Moreover, the phase of predicted cyclers in liver agreed with known CLOCK/BMAL1 regulation. Taken together, we built a predictive model for CLK/CYC or CLOCK/BMAL1-bound cis-enhancers through the integration of comparative and functional genomics data. Finally, a deeper phylogenetic analysis reveals that the link between the CLOCK/BMAL1 complex and the circadian cis-element dates back to before insects and vertebrates diverged. Eric R. Paquet, Guillaume Rey, Felix Naef |
PLoS Comput. Biol. | 1 |