activity
20192026
most citedGS-SLAM: Dense Visual SLAM with 3D Gaussian Splatting

11 citations · 36 across the 32 of their papers we have counts for

collaborators
Showing 2023Show all

10 papers · 1 filter

cs.CV2023

X4D-SceneFormer: Enhanced Scene Understanding on 4D Point Cloud Videos through Cross-modal Knowledge Transfer

Linglin Jing, Ying Xue, Xu Yan +7

The field of 4D point cloud understanding is rapidly developing with the goal of analyzing dynamic 3D point cloud sequences. However, it remains a challenging task due to the spars…

physics.optics2023

Calibration-free quantitative phase imaging in multi-core fiber endoscopes using end-to-end deep learning

Jiawei Sun, Bin Zhao, Dong Wang +5

Quantitative phase imaging (QPI) through multi-core fibers (MCFs) has been an emerging in vivo label-free endoscopic imaging modality with minimal invasiveness. However, the comput…

cs.CV2023★ 11 cited

GS-SLAM: Dense Visual SLAM with 3D Gaussian Splatting

Chi Yan, Delin Qu, Dan Xu +4

In this paper, we introduce \textbf{GS-SLAM} that first utilizes 3D Gaussian representation in the Simultaneous Localization and Mapping (SLAM) system. It facilitates a better bala…

cs.RO2023

Kinematic-aware Prompting for Generalizable Articulated Object Manipulation with LLMs

Wenke Xia, Dong Wang, Xincheng Pang +4

Generalizable articulated object manipulation is essential for home-assistant robots. Recent efforts focus on imitation learning from demonstrations or reinforcement learning in si…

cs.RO2023★ 6 cited

Affordance-Driven Next-Best-View Planning for Robotic Grasping

Xuechao Zhang, Dong Wang, Sun Han +7

Grasping occluded objects in cluttered environments is an essential component in complex robotic manipulation tasks. In this paper, we introduce an AffordanCE-driven Next-Best-View…

cs.CV2023★ 3 cited

One-Shot High-Fidelity Talking-Head Synthesis with Deformable Neural Radiance Field

Weichuang Li, Longhao Zhang, Dong Wang +7

Talking head generation aims to generate faces that maintain the identity information of the source image and imitate the motion of the driving image. Most pioneering methods rely…

cs.CV2023

Propagate And Calibrate: Real-time Passive Non-line-of-sight Tracking

Yihao Wang, Zhigang Wang, Bin Zhao +3

Non-line-of-sight (NLOS) tracking has drawn increasing attention in recent years, due to its ability to detect object motion out of sight. Most previous works on NLOS tracking rely…

eess.IV2023★ 2 cited

Fully Self-Supervised Depth Estimation from Defocus Clue

Haozhe Si, Bin Zhao, Dong Wang +4

Depth-from-defocus (DFD), modeling the relationship between depth and defocus pattern in images, has demonstrated promising performance in depth estimation. Recently, several self-…

cs.CV2023★ 1 cited

Towards Nonlinear-Motion-Aware and Occlusion-Robust Rolling Shutter Correction

Delin Qu, Yizhen Lao, Zhigang Wang +3

This paper addresses the problem of rolling shutter correction in complex nonlinear and dynamic scenes with extreme occlusion. Existing methods suffer from two main drawbacks. Firs…

cs.CV2023★ 2 cited

ViewRefer: Grasp the Multi-view Knowledge for 3D Visual Grounding with GPT and Prototype Guidance

Zoey Guo, Yiwen Tang, Ray Zhang +4

Understanding 3D scenes from multi-view inputs has been proven to alleviate the view discrepancy issue in 3D visual grounding. However, existing methods normally neglect the view c…