9 citations · 26 across the 13 of their papers we have counts for
13 papers
CASA-SDF: Curriculum-Aware Spatial Adaptation with Curvature-Guided Density for Neural Implicit Surface Reconstruction
Lei Yang, Weiqing Li, Zhiyong Su +1
Neural implicit representations have emerged as a powerful paradigm for 3D reconstruction. However, high-fidelity indoor surface reconstruction remains a significant challenge, pri…
UGD: An Unsupervised Geometric Distance for Evaluating Real-world Noisy Point Cloud Denoising
Zhiyong Su, Jincan Wu, Yonghui Liu +2
Point cloud denoising is a fundamental and crucial challenge in real-world point cloud applications. Existing quantitative evaluation metrics for point cloud denoising methods are…
UPDA: Unsupervised Progressive Domain Adaptation for No-Reference Point Cloud Quality Assessment
Bingxu Xie, Fang Zhou, Jincan Wu +3
While no-reference point cloud quality assessment (NR-PCQA) approaches have achieved significant progress over the past decade, their performance often degrades substantially when…
Open-world Point Cloud Semantic Segmentation: A Human-in-the-loop Framework
Peng Zhang, Songru Yang, Jinsheng Sun +2
Open-world point cloud semantic segmentation (OW-Seg) aims to predict point labels of both base and novel classes in real-world scenarios. However, existing methods rely on resourc…
No-reference geometry quality assessment for colorless point clouds via list-wise rank learning
Zheng Li, Bingxu Xie, Chao Chu +2
Geometry quality assessment (GQA) of colorless point clouds is crucial for evaluating the performance of emerging point cloud-based solutions (e.g., watermarking, compression, and…
The Worse The Better: Content-Aware Viewpoint Generation Network for Projection-related Point Cloud Quality Assessment
Zhiyong Su, Bingxu Xie, Zheng Li +2
Through experimental studies, however, we observed the instability of final predicted quality scores, which change significantly over different viewpoint settings. Inspired by the…
Mesh deformation-based single-view 3D reconstruction of thin eyeglasses frames with differentiable rendering
Fan Zhang, Ziyue Ji, Weiguang Kang +2
With the support of Virtual Reality (VR) and Augmented Reality (AR) technologies, the 3D virtual eyeglasses try-on application is well on its way to becoming a new trending solutio…
Fine-grained Metrics for Point Cloud Semantic Segmentation
Zhuheng Lu, Ting Wu, Yuewei Dai +2
Two forms of imbalances are commonly observed in point cloud semantic segmentation datasets: (1) category imbalances, where certain objects are more prevalent than others; and (2)…
Refining Segmentation On-the-Fly: An Interactive Framework for Point Cloud Semantic Segmentation
Peng Zhang, Ting Wu, Jinsheng Sun +2
Existing interactive point cloud segmentation approaches primarily focus on the object segmentation, which aim to determine which points belong to the object of interest guided by…
No-reference Point Cloud Geometry Quality Assessment Based on Pairwise Rank Learning
Zhiyong Su, Chao Chu, Long Chen +2
Objective geometry quality assessment of point clouds is essential to evaluate the performance of a wide range of point cloud-based solutions, such as denoising, simplification, re…
Joint Data and Feature Augmentation for Self-Supervised Representation Learning on Point Clouds
Zhuheng Lu, Yuewei Dai, Weiqing Li +1
To deal with the exhausting annotations, self-supervised representation learning from unlabeled point clouds has drawn much attention, especially centered on augmentation-based con…
Hypergraph Convolutional Network based Weakly Supervised Point Cloud Semantic Segmentation with Scene-Level Annotations
Zhuheng Lu, Peng Zhang, Yuewei Dai +2
Point cloud segmentation with scene-level annotations is a promising but challenging task. Currently, the most popular way is to employ the class activation map (CAM) to locate dis…
AS-PD: An Arbitrary-Size Downsampling Framework for Point Clouds
Peng Zhang, Ruoyin Xie, Jinsheng Sun +2
Point cloud downsampling is a crucial pre-processing operation to downsample points in order to unify data size and reduce computational cost, to name a few. Recent research on poi…