4 citations · 6 across the 4 of their papers we have counts for
4 papers
Learning Instruction-Guided Manipulation Affordance via Large Models for Embodied Robotic Tasks
Dayou Li, Chenkun Zhao, Shuo Yang +3
We study the task of language instruction-guided robotic manipulation, in which an embodied robot is supposed to manipulate the target objects based on the language instructions. I…
E2E-LOAD: End-to-End Long-form Online Action Detection
Shuqiang Cao, Weixin Luo, Bairui Wang +2
Recently, there has been a growing trend toward feature-based approaches for Online Action Detection (OAD). However, these approaches have limitations due to their fixed backbone d…
Learning Point-Language Hierarchical Alignment for 3D Visual Grounding
Jiaming Chen, Weixin Luo, Ran Song +3
This paper presents a novel hierarchical alignment model (HAM) that learns multi-granularity visual and linguistic representations in an end-to-end manner. We extract key points an…
A Circular Window-based Cascade Transformer for Online Action Detection
Shuqiang Cao, Weixin Luo, Bairui Wang +2
Online action detection aims at the accurate action prediction of the current frame based on long historical observations. Meanwhile, it demands real-time inference on online strea…