3D 视觉 - arXivDaily 专题

2307.05634 2023-07-13 cs.CV 79%

Hyperspherical Embedding for Point Cloud Completion

Junming Zhang, Haomeng Zhang, Ram Vasudevan, Matthew Johnson-Roberson

专题命中点云：point cloud(title,abstract)；分类 cs.CV

2307.05325 2023-07-12 cs.CV 79%

Self-supervised adversarial masking for 3D point cloud representation learning

Michał Szachniewicz, Wojciech Kozłowski, Michał Stypułkowski, Maciej Zięba

专题命中点云：point cloud(title,abstract)；分类 cs.CV

2307.02877 2023-07-07 cs.CV 79%

Towards accurate instance segmentation in large-scale LiDAR point clouds

Binbin Xiang, Torben Peters, Theodora Kontogianni, Frawa Vetterli, Stefano Puliti, Rasmus Astrup, Konrad Schindler

专题命中点云：point cloud(title,abstract)；分类 cs.CV

2307.01489 2023-07-06 cs.CV 79%

Semantic Segmentation on 3D Point Clouds with High Density Variations

Ryan Faulkner, Luke Haub, Simon Ratcliffe, Ian Reid, Tat-Jun Chin

专题命中点云：point cloud(title,abstract)；分类 cs.CV

2306.14749 2023-07-06 cs.CV 79%

A denoised Mean Teacher for domain adaptive point cloud registration

Alexander Bigalke, Mattias P. Heinrich

专题命中点云：point cloud(title,abstract)；分类 cs.CV

Comments early accepted at MICCAI 2023; corrected confused reference

2109.09927 2023-07-04 cs.CV 79%

Robust Extrinsic Symmetry Estimation in 3D Point Clouds

Rajendra Nagar

专题命中点云：point cloud(title,abstract)；分类 cs.CV

2306.16306 2023-06-29 cs.CV 79%

Point2Point : A Framework for Efficient Deep Learning on Hilbert sorted Point Clouds with applications in Spatio-Temporal Occupancy Prediction

Athrva Atul Pandhare

专题命中点云：point cloud(title,abstract)；分类 cs.CV

Comments 2023 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS)

2306.14221 2023-06-28 cs.CV cs.AI cs.LG 79%

Feature Adversarial Distillation for Point Cloud Classification

YuXing Lee, Wei Wu

专题命中点云：point cloud(title,abstract)；分类 cs.CV

Comments Accepted to ICIP2023

2202.10094 2023-06-27 cs.CV 79%

Point Cloud Denoising via Momentum Ascent in Gradient Fields

Yaping Zhao, Haitian Zheng, Zhongrui Wang, Jiebo Luo, Edmund Y. Lam

专题命中点云：point cloud(title,abstract)；分类 cs.CV

Comments 5 pages, 6 figures

2210.15751 2023-06-26 cs.RO cs.AI 79%

Planning with Spatial-Temporal Abstraction from Point Clouds for Deformable Object Manipulation

Xingyu Lin, Carl Qi, Yunchu Zhang, Zhiao Huang, Katerina Fragkiadaki, Yunzhu Li, Chuang Gan, David Held

专题命中点云：point cloud(title,abstract)；分类 cs.RO

Comments Published at the Conference on Robot Learning (CoRL 2022)

2305.14335 2023-06-21 cs.CV 79%

Prototype Adaption and Projection for Few- and Zero-shot 3D Point Cloud Semantic Segmentation

Shuting He, Xudong Jiang, Wei Jiang, Henghui Ding

专题命中点云：point cloud(title,abstract)；分类 cs.CV

Comments IEEE TIP

2306.04668 2023-06-19 eess.IV cs.CV cs.LG 79%

SMRVIS: Point cloud extraction from 3-D ultrasound for non-destructive testing

Lisa Y. W. Tang

专题命中点云：point cloud(title,abstract)；分类 cs.CV

2306.08073 2023-06-16 cs.CV 79%

Dynamic Clustering Transformer Network for Point Cloud Segmentation

Dening Lu, Jun Zhou, Kyle Yilin Gao, Dilong Li, Jing Du, Linlin Xu, Jonathan Li

专题命中点云：point cloud(title,abstract)；分类 cs.CV

Comments 8 pages, 4 figures

2306.07835 2023-06-16 cs.CV 79%

LMD: Light-weight Prediction Quality Estimation for Object Detection in Lidar Point Clouds

Tobias Riedlinger, Marius Schubert, Sarina Penquitt, Jan-Marcel Kezmann, Pascal Colling, Karsten Kahl, Lutz Roese-Koerner, Michael Arnold, Urs Zimmermann, Matthias Rottmann

专题命中点云：point cloud(title,abstract)；分类 cs.CV

Comments 19 pages, 11 figures, 11 tables

2212.05679 2023-06-16 cs.CV 79%

Evolutionary Multitasking with Solution Space Cutting for Point Cloud Registration

Wu Yue, Peiran Gong, Maoguo Gong, Hangqi Ding, Zedong Tang, Yibo Liu, Wenping Ma, Qiguang Miao

专题命中点云：point cloud(title,abstract)；分类 cs.CV

2207.03128 2023-06-16 cs.CV 79%

PointMCD: Boosting Deep Point Cloud Encoders via Multi-view Cross-modal Distillation for 3D Shape Recognition

Qijian Zhang, Junhui Hou, Yue Qian

专题命中点云：point cloud(title,abstract)；分类 cs.CV

Comments Accepted to TMM

2306.07809 2023-06-14 cs.CV cs.LG math.GT 79%

Low-Resource White-Box Semantic Segmentation of Supporting Towers on 3D Point Clouds via Signature Shape Identification

Diogo Lavado, Cláudia Soares, Alessandra Micheletti, Giovanni Bocchi, Alex Coronati, Manuel Silva, Patrizio Frosini

专题命中点云：point cloud(title,abstract)；分类 cs.CV

2306.07559 2023-06-14 cs.CV eess.IV 79%

Marking anything: application of point cloud in extracting video target features

Xiangchun Xu

专题命中点云：point cloud(title,abstract)；分类 cs.CV

Comments 8 pages

2212.05171 2023-06-14 cs.CV 79%

ULIP: Learning a Unified Representation of Language, Images, and Point Clouds for 3D Understanding

Le Xue, Mingfei Gao, Chen Xing, Roberto Martín-Martín, Jiajun Wu, Caiming Xiong, Ran Xu, Juan Carlos Niebles, Silvio Savarese

专题命中点云：point cloud(title,abstract)；分类 cs.CV

Comments Accepted by CVPR 2023

2306.07154 2023-06-13 cs.CV 79%

InstructP2P: Learning to Edit 3D Point Clouds with Text Instructions

Jiale Xu, Xintao Wang, Yan-Pei Cao, Weihao Cheng, Ying Shan, Shenghua Gao

专题命中点云：point cloud(title,abstract)；分类 cs.CV

2306.06799 2023-06-13 cs.RO cs.AI cs.LG 79%

On the Efficacy of 3D Point Cloud Reinforcement Learning

Zhan Ling, Yunchao Yao, Xuanlin Li, Hao Su

专题命中点云：point cloud(title,abstract)；分类 cs.RO

2306.06062 2023-06-13 cs.CV cs.LG 79%

Neural FIM for learning Fisher Information Metrics from point cloud data

Oluwadamilola Fasina, Guillaume Huguet, Alexander Tong, Yanlei Zhang, Guy Wolf, Maximilian Nickel, Ian Adelstein, Smita Krishnaswamy

专题命中点云：point cloud(title,abstract)；分类 cs.CV

Comments 13 pages, 11 figures, 1 table

2301.12972 2023-06-13 cs.CV 79%

Human Vision Based 3D Point Cloud Semantic Segmentation of Large-Scale Outdoor Scene

Sunghwan Yoo, Yeongjeong Jeong, Maryam Jameela, Gunho Sohn

专题命中点云：point cloud(title,abstract)；分类 cs.CV

2306.05663 2023-06-12 cs.CV 79%

Improving LiDAR 3D Object Detection via Range-based Point Cloud Density Optimization

Eduardo R. Corral-Soto, Alaap Grandhi, Yannis Y. He, Mrigank Rochan, Bingbing Liu

专题命中点云：point cloud(title,abstract)；分类 cs.CV

2306.04811 2023-06-09 cs.CV cs.AI 79%

Generative Text-Guided 3D Vision-Language Pretraining for Unified Medical Image Segmentation

Yinda Chen, Che Liu, Wei Huang, Sibo Cheng, Rossella Arcucci, Zhiwei Xiong

专题命中点云：3D vision(title,abstract)；分类 cs.CV

2306.04745 2023-06-09 cs.CV cs.AI 79%

3D Human Keypoints Estimation From Point Clouds in the Wild Without Human Labels

Zhenzhen Weng, Alexander S. Gorban, Jingwei Ji, Mahyar Najibi, Yin Zhou, Dragomir Anguelov

专题命中点云：point cloud(title,abstract)；分类 cs.CV

Comments CVPR 2023

2306.04466 2023-06-08 cs.CV eess.SP 79%

Point Cloud Video Anomaly Detection Based on Point Spatio-Temporal Auto-Encoder

Tengjiao He, Wenguang Wang

专题命中点云：point cloud(title,abstract)；分类 cs.CV

2306.03206 2023-06-07 cs.CV 79%

MoDAR: Using Motion Forecasting for 3D Object Detection in Point Cloud Sequences

Yingwei Li, Charles R. Qi, Yin Zhou, Chenxi Liu, Dragomir Anguelov

专题命中点云：point cloud(title,abstract)；分类 cs.CV

Comments CVPR 2023

2305.15426 2023-06-06 cs.CV cs.LG 79%

Transcending Grids: Point Clouds and Surface Representations Powering Neurological Processing

Kishore Babu Nampalle, Pradeep Singh, Vivek Narayan Uppala, Sumit Gangwar, Rajesh Singh Negi, Balasubramanian Raman

专题命中点云：point cloud(title,abstract)；分类 cs.CV

2306.01405 2023-06-05 cs.CV 79%

Learning Signed Distance Functions from Noisy 3D Point Clouds via Noise to Noise Mapping

Baorui Ma, Yu-Shen Liu, Zhizhong Han

专题命中点云：point cloud(title,abstract)；分类 cs.CV

Comments To appear at ICML2023. Code and data are available at https://github.com/mabaorui/Noise2NoiseMapping/

1. 点云 7710 篇

Hyperspherical Embedding for Point Cloud Completion

Self-supervised adversarial masking for 3D point cloud representation learning

Towards accurate instance segmentation in large-scale LiDAR point clouds

Semantic Segmentation on 3D Point Clouds with High Density Variations

A denoised Mean Teacher for domain adaptive point cloud registration

Robust Extrinsic Symmetry Estimation in 3D Point Clouds

Point2Point : A Framework for Efficient Deep Learning on Hilbert sorted Point Clouds with applications in Spatio-Temporal Occupancy Prediction

Feature Adversarial Distillation for Point Cloud Classification

Point Cloud Denoising via Momentum Ascent in Gradient Fields

Planning with Spatial-Temporal Abstraction from Point Clouds for Deformable Object Manipulation

Prototype Adaption and Projection for Few- and Zero-shot 3D Point Cloud Semantic Segmentation

SMRVIS: Point cloud extraction from 3-D ultrasound for non-destructive testing

Dynamic Clustering Transformer Network for Point Cloud Segmentation

LMD: Light-weight Prediction Quality Estimation for Object Detection in Lidar Point Clouds

Evolutionary Multitasking with Solution Space Cutting for Point Cloud Registration

PointMCD: Boosting Deep Point Cloud Encoders via Multi-view Cross-modal Distillation for 3D Shape Recognition

Low-Resource White-Box Semantic Segmentation of Supporting Towers on 3D Point Clouds via Signature Shape Identification

Marking anything: application of point cloud in extracting video target features

ULIP: Learning a Unified Representation of Language, Images, and Point Clouds for 3D Understanding

InstructP2P: Learning to Edit 3D Point Clouds with Text Instructions

On the Efficacy of 3D Point Cloud Reinforcement Learning

Neural FIM for learning Fisher Information Metrics from point cloud data

Human Vision Based 3D Point Cloud Semantic Segmentation of Large-Scale Outdoor Scene

Improving LiDAR 3D Object Detection via Range-based Point Cloud Density Optimization

Generative Text-Guided 3D Vision-Language Pretraining for Unified Medical Image Segmentation

3D Human Keypoints Estimation From Point Clouds in the Wild Without Human Labels

Point Cloud Video Anomaly Detection Based on Point Spatio-Temporal Auto-Encoder

MoDAR: Using Motion Forecasting for 3D Object Detection in Point Cloud Sequences

Transcending Grids: Point Clouds and Surface Representations Powering Neurological Processing

Learning Signed Distance Functions from Noisy 3D Point Clouds via Noise to Noise Mapping