6 papers
Towards Backdoor-Based Ownership Verification for Vision-Language-Action Models
Ming Sun, Rui Wang, Xingrui Yu +5
Vision-Language-Action models (VLAs) support generalist robotic control by enabling end-to-end decision policies directly from multi-modal inputs. As trained VLAs are increasingly…
HBVLA: Pushing 1-Bit Post-Training Quantization for Vision-Language-Action Models
Xin Yan, Zhenglin Wan, Feiyang Ye +4
Vision-Language-Action (VLA) models enable instruction-following embodied control, but their large compute and memory footprints hinder deployment on resource-constrained robots an…
IL3D: A Large-Scale Indoor Layout Dataset for LLM-Driven 3D Scene Generation
Wenxu Zhou, Kaixuan Nie, Hang Du +5
In this study, we present IL3D, a large-scale dataset meticulously designed for large language model (LLM)-driven 3D scene generation, addressing the pressing demand for diverse, h…
TransParking: A Dual-Decoder Transformer Framework with Soft Localization for End-to-End Automatic Parking
Hangyu Du, Chee-Meng Chew
In recent years, fully differentiable end-to-end autonomous driving systems have become a research hotspot in the field of intelligent transportation. Among various research direct…
1st Place Solution for ICCV 2023 OmniObject3D Challenge: Sparse-View Reconstruction
Hang Du, Yaping Xue, Weidong Dai +2
In this report, we present the 1st place solution for ICCV 2023 OmniObject3D Challenge: Sparse-View Reconstruction. The challenge aims to evaluate approaches for novel view synthes…
Arbitrary-Scale Point Cloud Upsampling by Voxel-Based Network with Latent Geometric-Consistent Learning
Hang Du, Xuejun Yan, Jingjing Wang +2
Recently, arbitrary-scale point cloud upsampling mechanism became increasingly popular due to its efficiency and convenience for practical applications. To achieve this, most previ…