Showing cs.CVShow all
3 papers · 1 filter
cs.CV2025
Adaptive Keyframe Sampling for Long Video Understanding
Xi Tang, Jihao Qiu, Lingxi Xie +3
Multimodal large language models (MLLMs) have enabled open-world visual understanding by injecting visual input as extra tokens into large language models (LLMs) as contexts. Howev…
cs.CV2024
Artemis: Towards Referential Understanding in Complex Videos
Jihao Qiu, Yuan Zhang, Xi Tang +6
Videos carry rich visual information including object description, action, interaction, etc., but the existing multimodal large language models (MLLMs) fell short in referential un…
cs.CV2024
ChatterBox: Multi-round Multimodal Referring and Grounding
Yunjie Tian, Tianren Ma, Lingxi Xie +6
In this study, we establish a baseline for a new task named multimodal multi-round referring and grounding (MRG), opening up a promising direction for instance-level multimodal dia…