2 papers
cs.CV2026
VeRVE: Versatile Retrieval for Videos via Unified Embeddings
Shaunak Halbe, Bhagyashree Puranik, Jayakrishnan Unnikrishnan +3
Modern video retrieval systems are expected to handle diverse tasks ranging from corpus-level retrieval, fine-grained moment localization to flexible multimodal querying. Specializ…
cs.CV2025
RefTok: Reference-Based Tokenization for Video Generation
Xiang Fan, Xiaohang Sun, Kushan Thakkar +4
Effectively handling temporal redundancy remains a key challenge in learning video models. Prevailing approaches often treat each set of frames independently, failing to effectivel…