3 papers
cs.CV2025
p-MoD: Building Mixture-of-Depths MLLMs via Progressive Ratio Decay
Jun Zhang, Desen Meng, Zhengming Zhang +3
Despite the remarkable performance of multimodal large language models (MLLMs) across diverse tasks, the substantial training and inference costs impede their advancement. In this…
cs.CV2024
Open-Vocabulary Spatio-Temporal Action Detection
Tao Wu, Shuqiu Ge, Jie Qin +2
Spatio-temporal action detection (STAD) is an important fine-grained video understanding task. Current methods require box and label supervision for all action classes in advance.…
cs.CV2024
STMixer: A One-Stage Sparse Action Detector
Tao Wu, Mengqi Cao, Ziteng Gao +2
Traditional video action detectors typically adopt the two-stage pipeline, where a person detector is first employed to generate actor boxes and then 3D RoIAlign is used to extract…