3D 视觉 - arXivDaily 专题

2007.07013 2020-07-15 cs.CV eess.IV 57%

Pose2RGBD. Generating Depth and RGB images from absolute positions

Mihai Cristian Pîrvu

专题命中点云：point cloud(abstract)；分类 cs.CV

2007.00258 2020-07-15 cs.RO 57%

LIO-SAM: Tightly-coupled Lidar Inertial Odometry via Smoothing and Mapping

Tixiao Shan, Brendan Englot, Drew Meyers, Wei Wang, Carlo Ratti, Daniela Rus

专题命中点云：point cloud(abstract)；分类 cs.RO

Comments IROS 2020

1912.01362 2020-07-10 eess.IV cs.CV 57%

Multi-Channel Volumetric Neural Network for Knee Cartilage Segmentation in Cone-beam CT

Jennifer Maier, Luis Carlos Rivera Monroy, Christopher Syben, Yejin Jeon, Jang-Hwan Choi, Mary Elizabeth Hall, Marc Levenston, Garry Gold, Rebecca Fahrig, Andreas Maier

专题命中点云：point cloud(abstract)；分类 cs.CV

Comments 6 pages, accepted at BVM 2020

2007.03169 2020-07-08 cs.CV 57%

Spatial Semantic Embedding Network: Fast 3D Instance Segmentation with Deep Metric Learning

Dongsu Zhang, Junha Chun, Sang Kyun Cha, Young Min Kim

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

2007.03083 2020-07-08 physics.ins-det cs.CV eess.IV 57%

Scalable, Proposal-free Instance Segmentation Network for 3D Pixel Clustering and Particle Trajectory Reconstruction in Liquid Argon Time Projection Chambers

Dae Heun Koh, Pierre Côte de Soux, Laura Dominé, François Drielsma, Ran Itay, Qing Lin, Kazuhiro Terao, Ka Vang Tsang, Tracy Usher

专题命中点云：point cloud(abstract)；分类 cs.CV

2007.01550 2020-07-06 cs.CV 57%

Segment as Points for Efficient Online Multi-Object Tracking and Segmentation

Zhenbo Xu, Wei Zhang, Xiao Tan, Wei Yang, Huan Huang, Shilei Wen, Errui Ding, Liusheng Huang

专题命中点云：point cloud(abstract)；分类 cs.CV

Comments ECCV2020 ORAL (top 2%). Code already available at https://github.com/detectRecog/PointTrack. A highly effective method for learning features based on instance segments

2007.01549 2020-07-06 cs.CV 57%

PointTrack++ for Effective Online Multi-Object Tracking and Segmentation

Zhenbo Xu, Wei Zhang, Xiao Tan, Wei Yang, Xiangbo Su, Yuchen Yuan, Hongwu Zhang, Shilei Wen, Errui Ding, Liusheng Huang

专题命中点云：point cloud(abstract)；分类 cs.CV

Comments CVPR2020 MOTS Challenge Winner. PointTrack++ ranks first on KITTI MOTS (http://www.cvlibs.net/datasets/kitti/eval_mots.php)

1911.07984 2020-07-06 cs.LG cs.CV stat.ML 57%

Learning Permutation Invariant Representations using Memory Networks

Shivam Kalra, Mohammed Adnan, Graham Taylor, Hamid Tizhoosh

专题命中点云：point cloud(abstract)；分类 cs.CV

Comments Accepted at ECCV 2020

1803.10681 2020-07-06 cs.CV 57%

Motion Guided LIDAR-camera Self-calibration and Accelerated Depth Upsampling for Autonomous Vehicles

Juan Castorena, Gint Puskorius, Gaurav Pandey

专题命中点云：point cloud(abstract)；分类 cs.CV

2006.16974 2020-07-01 cs.CR cs.CV cs.LG 57%

Towards Robust LiDAR-based Perception in Autonomous Driving: General Black-box Adversarial Sensor Attack and Countermeasures

Jiachen Sun, Yulong Cao, Qi Alfred Chen, Z. Morley Mao

专题命中点云：point cloud(abstract)；分类 cs.CV

Comments 18 pages, 27 figures, to be published in USENIX Security 2020

2006.16796 2020-07-01 cs.CV 57%

Leveraging Temporal Information for 3D Detection and Domain Adaptation

Cunjun Yu, Zhongang Cai, Daxuan Ren, Haiyu Zhao

专题命中点云：point cloud(abstract)；分类 cs.CV

2006.12671 2020-07-01 cs.CV 57%

AFDet: Anchor Free One Stage 3D Object Detection

Runzhou Ge, Zhuangzhuang Ding, Yihan Hu, Yu Wang, Sijia Chen, Li Huang, Yuan Li

专题命中点云：point cloud(abstract)；分类 cs.CV

Comments Accepted on May 6th, 2020 by CVPRW 2020, published on June 7th, 2020; Baseline detector for the 1st place solutions of Waymo Open Dataset Challenges 2020

2006.15505 2020-06-30 cs.CV 57%

1st Place Solution for Waymo Open Dataset Challenge -- 3D Detection and Domain Adaptation

Zhuangzhuang Ding, Yihan Hu, Runzhou Ge, Li Huang, Sijia Chen, Yu Wang, Jie Liao

专题命中点云：point cloud(abstract)；分类 cs.CV

2006.14691 2020-06-29 cs.CV 57%

Duodepth: Static Gesture Recognition Via Dual Depth Sensors

Ilya Chugunov, Avideh Zakhor

专题命中点云：point cloud(abstract)；分类 cs.CV

Comments 26th International Conference on Image Processing

Journal ref 2019 IEEE International Conference on Image Processing (ICIP), Taipei, Taiwan, 2019, pp. 3467-3471

2006.13848 2020-06-25 cs.CV 57%

DeepTracking-Net: 3D Tracking with Unsupervised Learning of Continuous Flow

Shuaihang Yuan, Xiang Li, Yi Fang

专题命中点云：point cloud(abstract)；分类 cs.CV

Comments 16 pages, 6 figures

2006.13266 2020-06-25 cs.GR cs.CG 57%

OMiCroN -- Oblique Multipass Hierarchy Creation while Navigating

Vinícius da Silva, Claudio Esperança, Ricardo Marroquim

专题命中点云：point cloud(abstract)；分类 cs.GR

Comments 13 pages, 15 figures

Journal ref Computers & Graphics, Volume 84, November 2019, Pages 42-54

2006.12140 2020-06-23 cs.CV 57%

High-Precision Digital Traffic Recording with Multi-LiDAR Infrastructure Sensor Setups

Laurent Kloeker, Christian Geller, Amarin Kloeker, Lutz Eckstein

专题命中点云：point cloud(abstract)；分类 cs.CV

Comments Accepted to be published as part of the 23rd IEEE International Conference on Intelligent Transportation Systems (ITSC), Rhodes, Greece, September 20-23, 2020

2006.09348 2020-06-17 cs.CV 57%

LiDARsim: Realistic LiDAR Simulation by Leveraging the Real World

Sivabalan Manivasagam, Shenlong Wang, Kelvin Wong, Wenyuan Zeng, Mikita Sazanovich, Shuhan Tan, Bin Yang, Wei-Chiu Ma, Raquel Urtasun

专题命中点云：point cloud(abstract)；分类 cs.CV

Comments CVPR 2020 (Oral)

2006.08021 2020-06-16 cs.CV 57%

RasterNet: Modeling Free-Flow Speed using LiDAR and Overhead Imagery

Armin Hadzic, Hunter Blanton, Weilian Song, Mei Chen, Scott Workman, Nathan Jacobs

专题命中点云：point cloud(abstract)；分类 cs.CV

2006.06281 2020-06-12 cs.CV 57%

Fast Coherent Point Drift

Xiang-Wei Feng, Da-Zheng Feng, Yun Zhu

专题命中点云：point cloud(abstract)；分类 cs.CV

2006.06200 2020-06-12 cs.CG cs.CV eess.IV 57%

Unsupervised Learning of 3D Point Set Registration

Lingjing Wang, Xiang Li, Yi Fang

专题命中点云：point cloud(abstract)；分类 cs.CV

2006.05560 2020-06-11 cs.CV 57%

Tree Annotations in LiDAR Data Using Point Densities and Convolutional Neural Networks

Ananya Gupta, Jonathan Byrne, David Moloney, Simon Watson, Hujun Yin

专题命中点云：point cloud(abstract)；分类 cs.CV

Journal ref IEEE Transactions on Geoscience and Remote Sensing, vol. 58, no. 2, pp. 971-981, Feb. 2020

2006.02413 2020-06-04 cs.CV 57%

DGSAC: Density Guided Sampling and Consensus

Lokender Tiwari, Saket Anand

专题命中点云：point cloud(abstract)；分类 cs.CV

Comments Working article

1910.04392 2020-06-04 cs.CV 57%

Adaptive and Azimuth-Aware Fusion Network of Multimodal Local Features for 3D Object Detection

Yonglin Tian, Kunfeng Wang, Yuang Wang, Yulin Tian, Zilei Wang, Fei-Yue Wang

专题命中点云：point cloud(abstract)；分类 cs.CV

Comments Accepted by Neurocomputing

2005.13153 2020-05-29 cs.CV 57%

False Positive Removal for 3D Vehicle Detection with Penetrated Point Classifier

Sungmin Woo, Sangwon Hwang, Woojin Kim, Junhyeop Lee, Dogyoon Lee, Sangyoun Lee

专题命中点云：point cloud(abstract)；分类 cs.CV

Comments Accepted by ICIP 2020

2002.03281 2020-05-26 cs.CV cs.LG 57%

PointHop++: A Lightweight Learning Model on Point Sets for 3D Classification

Min Zhang, Yifan Wang, Pranav Kadam, Shan Liu, C. -C. Jay Kuo

专题命中点云：point cloud(abstract)；分类 cs.CV

Comments 4pages, 4 figures

2004.03080 2020-05-15 cs.CV eess.IV 57%

End-to-End Pseudo-LiDAR for Image-Based 3D Object Detection

Rui Qian, Divyansh Garg, Yan Wang, Yurong You, Serge Belongie, Bharath Hariharan, Mark Campbell, Kilian Q. Weinberger, Wei-Lun Chao

专题命中点云：point cloud(abstract)；分类 cs.CV

Comments Accepted to 2020 Conference on Computer Vision and Pattern Recognition (CVPR 2020)

1903.11750 2020-05-13 cs.RO 57%

Navigation in the Presence of Obstacles for an Agile Autonomous Underwater Vehicle

Marios Xanthidis, Nare Karapetyan, Hunter Damron, Sharmin Rahman, James Johnson, Allison O'Connell, Jason M. O'Kane, Ioannis Rekleitis

专题命中点云：point cloud(abstract)；分类 cs.RO

Comments ICRA 2020

1911.10150 2020-05-07 cs.CV cs.LG eess.IV stat.ML 57%

PointPainting: Sequential Fusion for 3D Object Detection

Sourabh Vora, Alex H. Lang, Bassam Helou, Oscar Beijbom

专题命中点云：point cloud(abstract)；分类 cs.CV

Comments 11 pages, 6 figures, 8 tables. v1 is initial submission to CVPR 2020. v2 is final version accepted for publication at CVPR 2020

1903.10168 2020-05-07 cs.CV 57%

Efficient Bird Eye View Proposals for 3D Siamese Tracking

Jesus Zarzar, Silvio Giancola, Bernard Ghanem

专题命中点云：point cloud(abstract)；分类 cs.CV

1. 点云 7732 篇

Pose2RGBD. Generating Depth and RGB images from absolute positions

LIO-SAM: Tightly-coupled Lidar Inertial Odometry via Smoothing and Mapping

Multi-Channel Volumetric Neural Network for Knee Cartilage Segmentation in Cone-beam CT

Spatial Semantic Embedding Network: Fast 3D Instance Segmentation with Deep Metric Learning

Scalable, Proposal-free Instance Segmentation Network for 3D Pixel Clustering and Particle Trajectory Reconstruction in Liquid Argon Time Projection Chambers

Segment as Points for Efficient Online Multi-Object Tracking and Segmentation

PointTrack++ for Effective Online Multi-Object Tracking and Segmentation

Learning Permutation Invariant Representations using Memory Networks

Motion Guided LIDAR-camera Self-calibration and Accelerated Depth Upsampling for Autonomous Vehicles

Towards Robust LiDAR-based Perception in Autonomous Driving: General Black-box Adversarial Sensor Attack and Countermeasures

Leveraging Temporal Information for 3D Detection and Domain Adaptation

AFDet: Anchor Free One Stage 3D Object Detection

1st Place Solution for Waymo Open Dataset Challenge -- 3D Detection and Domain Adaptation

Duodepth: Static Gesture Recognition Via Dual Depth Sensors

DeepTracking-Net: 3D Tracking with Unsupervised Learning of Continuous Flow

OMiCroN -- Oblique Multipass Hierarchy Creation while Navigating

High-Precision Digital Traffic Recording with Multi-LiDAR Infrastructure Sensor Setups

LiDARsim: Realistic LiDAR Simulation by Leveraging the Real World

RasterNet: Modeling Free-Flow Speed using LiDAR and Overhead Imagery

Fast Coherent Point Drift

Unsupervised Learning of 3D Point Set Registration

Tree Annotations in LiDAR Data Using Point Densities and Convolutional Neural Networks

DGSAC: Density Guided Sampling and Consensus

Adaptive and Azimuth-Aware Fusion Network of Multimodal Local Features for 3D Object Detection

False Positive Removal for 3D Vehicle Detection with Penetrated Point Classifier

PointHop++: A Lightweight Learning Model on Point Sets for 3D Classification

End-to-End Pseudo-LiDAR for Image-Based 3D Object Detection

Navigation in the Presence of Obstacles for an Agile Autonomous Underwater Vehicle

PointPainting: Sequential Fusion for 3D Object Detection

Efficient Bird Eye View Proposals for 3D Siamese Tracking