4 citations · 7 across the 10 of their papers we have counts for
14 papers
DynProto: Dynamic Prototype Evolution for Out-of-Distribution Detection
Yanqi Wu, Xinhua Lu, Runhe Lai +4
Recent studies show that using potential out-of-distribution (OOD) labels from large corpora as auxiliary information can improve OOD detection in vision-language models (VLMs). Ho…
ActionArt: Advancing Multimodal Large Models for Fine-Grained Human-Centric Video Understanding
Yi-Xing Peng, Qize Yang, Yu-Ming Tang +4
Fine-grained understanding of human actions and poses in videos is essential for human-centric AI applications. In this work, we introduce ActionArt, a fine-grained video-caption d…
Task-Oriented 6-DoF Grasp Pose Detection in Clutters
An-Lan Wang, Nuo Chen, Kun-Yu Lin +2
In general, humans would grasp an object differently for different tasks, e.g., "grasping the handle of a knife to cut" vs. "grasping the blade to hand over". In the field of robot…
Towards Completeness: A Generalizable Action Proposal Generator for Zero-Shot Temporal Action Localization
Jia-Run Du, Kun-Yu Lin, Jingke Meng +1
To address the zero-shot temporal action localization (ZSTAL) task, existing works develop models that are generalizable to detect and classify actions from unseen categories. They…
ParGo: Bridging Vision-Language with Partial and Global Views
An-Lan Wang, Bin Shan, Wei Shi +7
This work presents ParGo, a novel Partial-Global projector designed to connect the vision and language modalities for Multimodal Large Language Models (MLLMs). Unlike previous work…
Human-Centric Transformer for Domain Adaptive Action Recognition
Kun-Yu Lin, Jiaming Zhou, Wei-Shi Zheng
We study the domain adaptation task for action recognition, namely domain adaptive action recognition, which aims to effectively transfer action recognition power from a label-suff…