2 papers
cs.CV2026
ViterbiPlanNet: Injecting Procedural Knowledge via Differentiable Viterbi for Planning in Instructional Videos
Luigi Seminara, Davide Moltisanti, Antonino Furnari
Procedural planning aims to predict a sequence of actions that transforms an initial visual state into a desired goal, a fundamental ability for intelligent agents operating in com…
cs.CV2024
Continual Learning Improves Zero-Shot Action Recognition
Shreyank N Gowda, Davide Moltisanti, Laura Sevilla-Lara
Zero-shot action recognition requires a strong ability to generalize from pre-training and seen classes to novel unseen classes. Similarly, continual learning aims to develop model…