most citedLanguage-driven Scene Synthesis using Multi-conditional Diffusion Model

4 citations · 9 across the 6 of their papers we have counts for

collaborators

6 papers

cs.CV20233 cited

Real-time 6-DoF Pose Estimation by an Event-based Camera using Active LED Markers

Gerald Ebmer, Adam Loch, Minh Nhat Vu +5

Real-time applications for autonomous operations depend largely on fast and robust vision-based localization systems. Since image processing tasks require processing large amounts…

cs.CV20234 cited

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…

cs.RO2023

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,…

cs.RO2023

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…

cs.RO20232 cited

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…

cs.RO2023

Hierarchical control strategy for planar bipedal walking robots based on reduced order model

Minh Nhat Vu

In this work, the hierarchical control strategy of template-based control for a bipedal robot is described. The axial force of a compliant leg is redirected to a point, called the…