4 citations · 6 across the 4 of their papers we have counts for
4 papers
GraspMamba: A Mamba-based Language-driven Grasp Detection Framework with Hierarchical Feature Learning
Huy Hoang Nguyen, An Vuong, Anh Nguyen +2
Grasp detection is a fundamental robotic task critical to the success of many industrial applications. However, current language-driven models for this task often struggle with clu…
Language-driven Grasp Detection with Mask-guided Attention
Tuan Van Vo, Minh Nhat Vu, Baoru Huang +4
Grasp detection is an essential task in robotics with various industrial applications. However, traditional methods often struggle with occlusions and do not utilize language for g…
Lightweight Language-driven Grasp Detection using Conditional Consistency Model
Nghia Nguyen, Minh Nhat Vu, Baoru Huang +4
Language-driven grasp detection is a fundamental yet challenging task in robotics with various industrial applications. In this work, we present a new approach for language-driven…
Language-driven Scene Synthesis using Multi-conditional Diffusion Model
An Vuong, Minh Nhat Vu, Toan Tien Nguyen +4
Scene synthesis is a challenging problem with several industrial applications. Recently, substantial efforts have been directed to synthesize the scene using human motions, room la…