Xuelian Cheng

Learning Compositional Spatio-Temporal Video Grounding with Synthetic Curriculum

This work builds a synthetic data engine that leverages a spatio-temporal scene graph as a difficulty measure and casts difficulty-controlled query synthesis as a constraint programming problem, producing difficulty-graded data for both evaluation and training and proposes CurrSTVG, a curriculum reinforcement learning...