3 citations · 3 across the 13 of their papers we have counts for
13 papers
UniVTAC: A Unified Simulation Platform for Visuo-Tactile Manipulation Data Generation, Learning, and Benchmarking
Baijun Chen, Weijie Wan, Tianxing Chen +13
Robotic manipulation has seen rapid progress with vision-language-action (VLA) policies. However, visuo-tactile perception is critical for contact-rich manipulation, as tasks such…
DPNet: Doppler LiDAR Motion Planning for Highly-Dynamic Environments
Wei Zuo, Zeyi Ren, Chengyang Li +7
Existing motion planning methods often struggle with rapid-motion obstacles due to an insufficient understanding of environmental changes. To address this, we propose integrating m…
InstaDA: Augmenting Instance Segmentation Data with Dual-Agent System
Xianbao Hou, Yonghao He, Zeyd Boukhers +4
Acquiring high-quality instance segmentation data is challenging due to the labor-intensive nature of the annotation process and significant class imbalances within datasets. Recen…
Unleashing Semantic and Geometric Priors for 3D Scene Completion
Shiyuan Chen, Wei Sui, Bohao Zhang +3
Camera-based 3D semantic scene completion (SSC) provides dense geometric and semantic perception for autonomous driving and robotic navigation. However, existing methods rely on a…
DISCOVERSE: Efficient Robot Simulation in Complex High-Fidelity Environments
Yufei Jia, Guangyu Wang, Yuhang Dong +17
We present the first unified, modular, open-source 3DGS-based simulation framework for Real2Sim2Real robot learning. It features a holistic Real2Sim pipeline that synthesizes hyper…
Efficient Task-specific Conditional Diffusion Policies: Shortcut Model Acceleration and SO(3) Optimization
Haiyong Yu, Yanqiong Jin, Yonghao He +1
Imitation learning, particularly Diffusion Policies based methods, has recently gained significant traction in embodied AI as a powerful approach to action policy generation. These…
Monocular Depth Estimation and Segmentation for Transparent Object with Iterative Semantic and Geometric Fusion
Jiangyuan Liu, Hongxuan Ma, Yuxin Guo +4
Transparent object perception is indispensable for numerous robotic tasks. However, accurately segmenting and estimating the depth of transparent objects remain challenging due to…
A Light-Weight Framework for Open-Set Object Detection with Decoupled Feature Alignment in Joint Space
Yonghao He, Hu Su, Haiyong Yu +4
Open-set object detection (OSOD) is highly desirable for robotic manipulation in unstructured environments. However, existing OSOD methods often fail to meet the requirements of ro…
CAMAv2: A Vision-Centric Approach for Static Map Element Annotation
Shiyuan Chen, Jiaxin Zhang, Ruohong Mei +5
The recent development of online static map element (a.k.a. HD map) construction algorithms has raised a vast demand for data with ground truth annotations. However, available publ…
VRSO: Visual-Centric Reconstruction for Static Object Annotation
Chenyao Yu, Yingfeng Cai, Jiaxin Zhang +3
As a part of the perception results of intelligent driving systems, static object detection (SOD) in 3D space provides crucial cues for driving environment understanding. With the…
Gyroscope-Assisted Motion Deblurring Network
Simin Luan, Cong Yang, Zeyd Boukhers +4
Image research has shown substantial attention in deblurring networks in recent years. Yet, their practical usage in real-world deblurring, especially motion blur, remains limited…
SuperEdge: Towards a Generalization Model for Self-Supervised Edge Detection
Leng Kai, Zhang Zhijie, Liu Jie +4
Edge detection is a fundamental technique in various computer vision tasks. Edges are indeed effectively delineated by pixel discontinuity and can offer reliable structural informa…
A Vision-Centric Approach for Static Map Element Annotation
Jiaxin Zhang, Shiyuan Chen, Haoran Yin +5
The recent development of online static map element (a.k.a. HD Map) construction algorithms has raised a vast demand for data with ground truth annotations. However, available publ…