1 citations · 1 across the 10 of their papers we have counts for
10 papers
Explicit Memory through Online 3D Gaussian Splatting Improves Class-Agnostic Video Segmentation
Anthony Opipari, Aravindhan K Krishnan, Shreekant Gayaka +4
Remembering where object segments were predicted in the past is useful for improving the accuracy and consistency of class-agnostic video segmentation algorithms. Existing video se…
Attribute-based Object Grounding and Robot Grasp Detection with Spatial Reasoning
Houjian Yu, Zheming Zhou, Min Sun +5
Enabling robots to grasp objects specified through natural language is essential for effective human-robot interaction, yet it remains a significant challenge. Existing approaches…
POp-GS: Next Best View in 3D-Gaussian Splatting with P-Optimality
Joey Wilson, Marcelino Almeida, Sachit Mahajan +6
In this paper, we present a novel algorithm for quantifying uncertainty and information gained within 3D Gaussian Splatting (3D-GS) through P-Optimality. While 3D-GS has proven to…
Enhancing Single Image to 3D Generation using Gaussian Splatting and Hybrid Diffusion Priors
Hritam Basak, Hadi Tabatabaee, Shreekant Gayaka +6
3D object generation from a single image involves estimating the full 3D geometry and texture of unseen views from an unposed RGB image captured in the wild. Accurately reconstruct…
Modeling Uncertainty in 3D Gaussian Splatting through Continuous Semantic Splatting
Joey Wilson, Marcelino Almeida, Min Sun +6
In this paper, we present a novel algorithm for probabilistically updating and rasterizing semantic maps within 3D Gaussian Splatting (3D-GS). Although previous methods have introd…
Configurable Embodied Data Generation for Class-Agnostic RGB-D Video Segmentation
Anthony Opipari, Aravindhan K Krishnan, Shreekant Gayaka +4
This paper presents a method for generating large-scale datasets to improve class-agnostic video segmentation across robots with different form factors. Specifically, we consider t…
Correspondence-Free SE(3) Point Cloud Registration in RKHS via Unsupervised Equivariant Learning
Ray Zhang, Zheming Zhou, Min Sun +5
This paper introduces a robust unsupervised SE(3) point cloud registration method that operates without requiring point correspondences. The method frames point clouds as functions…
CSCPR: Cross-Source-Context Indoor RGB-D Place Recognition
Jing Liang, Zhuo Deng, Zheming Zhou +5
We extend our previous work, PoCo, and present a new algorithm, Cross-Source-Context Place Recognition (CSCPR), for RGB-D indoor place recognition that integrates global retrieval…
PoCo: Point Context Cluster for RGBD Indoor Place Recognition
Jing Liang, Zhuo Deng, Zheming Zhou +5
We present a novel end-to-end algorithm (PoCo) for the indoor RGB-D place recognition task, aimed at identifying the most likely match for a given query frame within a reference da…
Tabletop Transparent Scene Reconstruction via Epipolar-Guided Optical Flow with Monocular Depth Completion Prior
Xiaotong Chen, Zheming Zhou, Zhuo Deng +4
Reconstructing transparent objects using affordable RGB-D cameras is a persistent challenge in robotic perception due to inconsistent appearances across views in the RGB domain and…