most citedLearning to Localize Actions in Instructional Videos with LLM-Based Multi-Pathway Text-Video Alignment

1 citations · 1 across the 6 of their papers we have counts for

collaborators

6 papers

cs.CV2026

Toward Open-World Video Segmentation over Long Horizons

Qing Su, Kaiyang Li, Yuan Zhuang +2

Long videos challenge open-world segmentation systems to continually discover objects and preserve their identities through disappearance and reappearance. Savvy, a zero-shot, semi…

cs.RO2026

ConsistNav: Closing the Action Consistency Gap in Zero-Shot Object Navigation with Semantic Executive Control

Haosen Wang, Zhenyang Li, Yinqiang Zhang +9

Zero-shot object navigation has advanced rapidly with open-vocabulary detectors, image--text models, and language-guided exploration. However, even after current methods detect a p…

cs.LG2026

ReForge: Refining Merged Models with Anchor-Regularized Regression

Kaiyang Li, Shaobo Han, Qing Su +1

Model merging aims to combine multiple task-specific expert models into a single model without joint retraining, offering a practical alternative to multi-task learning when data a…

cs.RO2026

StemVLA:An Open-Source Vision-Language-Action Model with Future 3D Spatial Geometry Knowledge and 4D Historical Representation

Jiasong Xiao, Yutao She, Kai Li +2

Vision-language-action (VLA) models integrate visual observations and language instructions to predict robot actions, demonstrating promising generalization in manipulation tasks.…

cs.CV2024

Exploiting VLM Localizability and Semantics for Open Vocabulary Action Detection

Wentao Bao, Kai Li, Yuxiao Chen +3

Action detection aims to detect (recognize and localize) human actions spatially and temporally in videos. Existing approaches focus on the closed-set setting where an action detec…

cs.CV2024★ 1 cited

Learning to Localize Actions in Instructional Videos with LLM-Based Multi-Pathway Text-Video Alignment

Yuxiao Chen, Kai Li, Wentao Bao +4

Learning to localize temporal boundaries of procedure steps in instructional videos is challenging due to the limited availability of annotated large-scale training videos. Recent…