activity
20192026
most citedBayesian Spatial Kernel Smoothing for Scalable Dense Semantic Mapping

74 citations · 227 across the 87 of their papers we have counts for

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16 papers · 1 filter

cs.CV2026

E3DGS: Unified Geometric-Photometric Equivariance for 3D Gaussian Splatting via Color-as-Geometry Embedding

Chankyo Kim, Maani Ghaffari

3D Gaussian Splatting (3DGS) captures scenes by coupling explicit geometry (position, covariance) with view-dependent photometry (Spherical Harmonics). However, building $\mathrm{S…

cs.CV2025

Object Reconstruction under Occlusion with Generative Priors and Contact-induced Constraints

Minghan Zhu, Zhiyi Wang, Qihang Sun +2

Object geometry is key information for robot manipulation. Yet, object reconstruction is a challenging task because camera observations are partial due to occlusions. The scene may…

cs.CV2025

Registration beyond Points: General Affine Subspace Alignment via Geodesic Distance on Grassmann Manifold

Jaeho Shin, Hyeonjae Gil, Junwoo Jang +2

Affine Grassmannian has been favored for expressing proximity between lines and planes due to its theoretical exactness in measuring distances among features. Despite this advantag…

cs.CV2025

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…

cs.CV2024

LatentBKI: Open-Dictionary Continuous Mapping in Visual-Language Latent Spaces with Quantifiable Uncertainty

Joey Wilson, Ruihan Xu, Yile Sun +4

This paper introduces a novel probabilistic mapping algorithm, LatentBKI, which enables open-vocabulary mapping with quantifiable uncertainty. Traditionally, semantic mapping algor…

cs.CV2024

MDMP: Multi-modal Diffusion for supervised Motion Predictions with uncertainty

Leo Bringer, Joey Wilson, Kira Barton +1

This paper introduces a Multi-modal Diffusion model for Motion Prediction (MDMP) that integrates and synchronizes skeletal data and textual descriptions of actions to generate refi…

cs.CV2024

DynaWeightPnP: Toward global real-time 3D-2D solver in PnP without correspondences

Jingwei Song, Maani Ghaffari

This paper addresses a special Perspective-n-Point (PnP) problem: estimating the optimal pose to align 3D and 2D shapes in real-time without correspondences, termed as corresponden…

cs.CV2024

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…

cs.CV2022

E2PN: Efficient SE(3)-Equivariant Point Network

Minghan Zhu, Maani Ghaffari, William A. Clark +1

This paper proposes a convolution structure for learning SE(3)-equivariant features from 3D point clouds. It can be viewed as an equivariant version of kernel point convolutions (K…

cs.CV2022

BDIS: Bayesian Dense Inverse Searching Method for Real-Time Stereo Surgical Image Matching

Jingwei Song, Qiuchen Zhu, Jianyu Lin +1

In stereoscope-based Minimally Invasive Surgeries (MIS), dense stereo matching plays an indispensable role in 3D shape recovery, AR, VR, and navigation tasks. Although numerous Dee…

cs.CV2022

MotionSC: Data Set and Network for Real-Time Semantic Mapping in Dynamic Environments

Joey Wilson, Jingyu Song, Yuewei Fu +5

This work addresses a gap in semantic scene completion (SSC) data by creating a novel outdoor data set with accurate and complete dynamic scenes. Our data set is formed from random…

cs.CV2022★ 1 cited

Fusing Convolutional Neural Network and Geometric Constraint for Image-based Indoor Localization

Jingwei Song, Mitesh Patel, Maani Ghaffari

This paper proposes a new image-based localization framework that explicitly localizes the camera/robot by fusing Convolutional Neural Network (CNN) and sequential images' geometri…

cs.CV2021★ 12 cited

Correspondence-Free Point Cloud Registration with SO(3)-Equivariant Implicit Shape Representations

Minghan Zhu, Maani Ghaffari, Huei Peng

This paper proposes a correspondence-free method for point cloud rotational registration. We learn an embedding for each point cloud in a feature space that preserves the SO(3)-equ…

cs.CV2021★ 3 cited

Bayesian dense inverse searching algorithm for real-time stereo matching in minimally invasive surgery

Jingwei Song, Qiuchen Zhu, Jianyu Lin +1

This paper reports a CPU-level real-time stereo matching method for surgical images (10 Hz on 640 * 480 image with a single core of i5-9400). The proposed method is built on the fa…

cs.CV2020★ 1 cited

A New Framework for Registration of Semantic Point Clouds from Stereo and RGB-D Cameras

Ray Zhang, Tzu-Yuan Lin, Chien Erh Lin +5

This paper reports on a novel nonparametric rigid point cloud registration framework that jointly integrates geometric and semantic measurements such as color or semantic labels in…

cs.CV2020★ 6 cited

A Closed-Form Uncertainty Propagation in Non-Rigid Structure from Motion

Jingwei Song, Mitesh Patel, Ashkan Jasour +1

Semi-Definite Programming (SDP) with low-rank prior has been widely applied in Non-Rigid Structure from Motion (NRSfM). Based on a low-rank constraint, it avoids the inherent ambig…