4 citations · 12 across the 15 of their papers we have counts for
6 papers · 1 filter
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…
Open-Vocabulary Affordance Detection using Knowledge Distillation and Text-Point Correlation
Tuan Van Vo, Minh Nhat Vu, Baoru Huang +4
Affordance detection presents intricate challenges and has a wide range of robotic applications. Previous works have faced limitations such as the complexities of 3D object shapes,…
Language-Conditioned Affordance-Pose Detection in 3D Point Clouds
Toan Nguyen, Minh Nhat Vu, Baoru Huang +6
Affordance detection and pose estimation are of great importance in many robotic applications. Their combination helps the robot gain an enhanced manipulation capability, in which…
Grasp-Anything: Large-scale Grasp Dataset from Foundation Models
An Dinh Vuong, Minh Nhat Vu, Hieu Le +5
Foundation models such as ChatGPT have made significant strides in robotic tasks due to their universal representation of real-world domains. In this paper, we leverage foundation…
HabiCrowd: A High Performance Simulator for Crowd-Aware Visual Navigation
An Dinh Vuong, Toan Tien Nguyen, Minh Nhat VU +5
Visual navigation, a foundational aspect of Embodied AI (E-AI), has been significantly studied in the past few years. While many 3D simulators have been introduced to support visua…
Open-Vocabulary Affordance Detection in 3D Point Clouds
Toan Nguyen, Minh Nhat Vu, An Vuong +4
Affordance detection is a challenging problem with a wide variety of robotic applications. Traditional affordance detection methods are limited to a predefined set of affordance la…