3 papers
cs.CV2026
VIDEOP2R: Video Understanding from Perception to Reasoning
Yifan Jiang, Yueying Wang, Rui Zhao +4
Reinforcement fine-tuning (RFT), a two-stage framework consisting of supervised fine-tuning (SFT) and reinforcement learning (RL) has shown promising results on improving reasoning…
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
Modality Agnostic Efficient Long Range Encoder
Toufiq Parag, Ahmed Elgammal
The long-context capability of recent large transformer models can be surmised to rely on techniques such as attention/model parallelism, as well as hardware-level optimizations. W…