7 citations · 13 across the 3 of their papers we have counts for
4 papers · 1 filter
Metric-Guided Feature Fusion of Visual Foundation Models for Segmentation Tasks
Yachan Guo, JoseLuis Gomez Zurita, Danna Xue +2
Although large-scale visual foundation models (VFMs) achieve remarkable performance in semantic understanding, they still underperform in instance-aware dense prediction tasks. The…
Co-training for On-board Deep Object Detection
Gabriel Villalonga, Antonio M. Lopez
Providing ground truth supervision to train visual models has been a bottleneck over the years, exacerbated by domain shifts which degenerate the performance of such models. This w…
Generating Human Action Videos by Coupling 3D Game Engines and Probabilistic Graphical Models
César Roberto de Souza, Adrien Gaidon, Yohann Cabon +2
Deep video action recognition models have been highly successful in recent years but require large quantities of manually annotated data, which are expensive and laborious to obtai…
Sympathy for the Details: Dense Trajectories and Hybrid Classification Architectures for Action Recognition
César Roberto de Souza, Adrien Gaidon, Eleonora Vig +1
Action recognition in videos is a challenging task due to the complexity of the spatio-temporal patterns to model and the difficulty to acquire and learn on large quantities of vid…