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CROSS redefines cross-view localization, enabling models to learn stable semantics and transferable geometry across extreme viewpoint changes, achieving state-of-the-art results.
Over 1,100 submissions reveal groundbreaking advancements in sports video understanding, with new methods pushing the boundaries of action prediction and localization.
SparseCtrl-HOI slashes annotation costs while generating high-quality HOI videos, revolutionizing the landscape of AI-driven e-commerce content creation.
Memory-augmented agents can learn from past failures and successes across tasks, leading to significant performance improvements in code generation for visual education.
AI reviewers can be gamed by merely altering how research is presented, achieving significant score increases without changing the underlying science.
