Dynamic Graph CNN for Learning on Point Clouds
Wang, Yue, Sun, Yongbin, Liu, Ziwei, Sarma, Sanjay E., Bronstein, Michael M., Solomon, Justin M.·2019·ACM Transactions on Graphics
DOI 10.1145/3326362
Cited by (1,006)
Items 201–300 of 1,006
- Adaptive Context-Aware Multi-Modal Network for Depth CompletionShanshan Zhao, Mingming Gong, Huan Fu, Dacheng Tao · 2021 · IEEE Transactions on Image Processing
- H3DNet: 3D Object Detection Using Hybrid Geometric PrimitivesZaiwei Zhang, Bo Sun, Haitao Yang, Qi-xing Huang A · 2020 · Lecture notes in computer science
- A Closer Look at Local Aggregation Operators in Point Cloud AnalysisZe Liu, Han Hu, Yue Cao, Zheng Zhang, Xin Tong · 2020 · Lecture notes in computer science
- PRA-Net: Point Relation-Aware Network for 3D Point Cloud AnalysisSilin Cheng, Xiwu Chen, Xinwei He, Zhe Liu, Xiang Bai · 2021 · IEEE Transactions on Image Processing
- Spatio-temporal Self-Supervised Representation Learning for 3D Point CloudsSiyuan Huang, Yichen Xie, Song Chun Zhu, Yixin Zhu · 2021 · IEEE/CVF International Conference on Computer Vision (ICCV)
- ClusterNet: Deep Hierarchical Cluster Network With Rigorously Rotation-Invariant Representation for Point Cloud AnalysisChao Chen, Guanbin Li, Ruijia Xu, Tianshui Chen, Meng Wang, Lin Liang · 2019 · IEEE Computer Society Conference on Computer Vision and Pattern Recognition/Proceedings - IEEE Computer Society Conference on Computer Vision and Pattern Recognition/Proceedings
- PointPWC-Net: Cost Volume on Point Clouds for (Self-)Supervised Scene Flow EstimationWenxuan Wu, Zhi Yuan Wang, Zhuwen Li, Wei Liu, Fuxin Li · 2020 · Lecture notes in computer science
- Multi-Object Detection and Tracking, Based on DNN, for Autonomous Vehicles: A ReviewRatheesh Ravindran, Michael J. Santora, Mohsin M. Jamali · 2020 · IEEE Sensors Journal
- PointGrow: Autoregressively Learned Point Cloud Generation with Self-AttentionYongbin Sun, Yue Wang, Ziwei Liu, Joshua Eric Siegel, Sanjay Emani Sarma · 2020 · IEEE Winter Conference on Applications of Computer Vision
- MotionNet: Joint Perception and Motion Prediction for Autonomous Driving Based on Bird’s Eye View MapsPengxiang Wu, Siheng Chen, Dimitris Metaxas · 2020 · IEEE Computer Society Conference on Computer Vision and Pattern Recognition/Proceedings - IEEE Computer Society Conference on Computer Vision and Pattern Recognition/Proceedings
- TF-Blender: Temporal Feature Blender for Video Object DetectionYiming Cui, Liqi Yan, Zhiwen Cao, Dongfang Liu · 2021 · IEEE/CVF International Conference on Computer Vision (ICCV)
- Pyramid R-CNN: Towards Better Performance and Adaptability for 3D Object DetectionJiageng Mao, Minzhe Niu, Haoyue Bai, Xiaodan Liang, Hang Xu, Chunjing Xu · 2021 · IEEE/CVF International Conference on Computer Vision (ICCV)
- FPConv: Learning Local Flattening for Point ConvolutionYiqun Lin, Zizheng Yan, Haibin Huang, Dong Du, Ligang Liu, Shuguang Robert Cui, Xiaoguang Han · 2020 · IEEE Computer Society Conference on Computer Vision and Pattern Recognition/Proceedings - IEEE Computer Society Conference on Computer Vision and Pattern Recognition/Proceedings
- Neural Unsigned Distance Fields for Implicit Function LearningJulian Chibane, Aymen Mir, Gerard Pons‐Moll · 2020 · arXiv (Cornell University)
- Optimized Skeleton-based Action Recognition via Sparsified Graph RegressionXiang Gao, Wei Hu, Jiaxiang Tang, Jiaying Liu, Zongming Guo · 2019 · ACM International Conference on Multimedia (ACM MM)
- Point attention network for semantic segmentation of 3D point cloudsMingtao Feng, Liang Zhang, Xuefei Lin, Syed Zulqarnain Gilani, Ajmal Saeed Mian · 2020 · Pattern Recognition
- Self-Supervised Deep Learning on Point Clouds by Reconstructing SpaceJonathan F. Sauder, Bjarne Sievers · 2019 · arXiv (Cornell University)
- Self-Supervised Learning for Domain Adaptation on Point CloudsIdan Achituve, Haggai Maron, Gal Chechik · 2021 · IEEE Winter Conference on Applications of Computer Vision
- A comprehensive survey of LIDAR-based 3D object detection methods with deep learning for autonomous drivingΓεώργιος Ζαμανάκος, Lazaros Tsochatzidis, Angelos A. Amanatiadis, Ioannis Pratikakis · 2021 · Computers & Graphics
- Base and Meta: A New Perspective on Few-Shot SegmentationChunbo Lang, Gong Cheng, Binfei Tu, Chao Li, Junwei Han · 2023 · IEEE Transactions on Pattern Analysis and Machine Intelligence
- Gait Recognition for Co-Existing Multiple People Using Millimeter Wave SensingZhen Meng, Song Fu, Jie Yan, Hongyuan Liang, Anfu Zhou, Shilin Zhu, Huadóng Ma, Jianhua Liu, Ning Yang · 2020 · Proceedings of the AAAI Conference on Artificial Intelligence
- A Hierarchical Graph Network for 3D Object Detection on Point CloudsJintai Chen, Biwen Lei, Qingyu Song, Haochao Ying, Danny Z. Chen, Jian Wu · 2020 · IEEE Computer Society Conference on Computer Vision and Pattern Recognition/Proceedings - IEEE Computer Society Conference on Computer Vision and Pattern Recognition/Proceedings
- Delving Into the Devils of Bird’s-Eye-View Perception: A Review, Evaluation and RecipeHongyang Li, Chonghao Sima, Jifeng Dai, Wenhai Wang, Lewei Lu, Huijie Wang, Jia Zeng, Zhiqi Li, Jiazhi Yang, Hanming Deng et al. · 2023 · IEEE Transactions on Pattern Analysis and Machine Intelligence
- Deep Graph-Convolutional Image DenoisingDiego Valsesia, Giulia Fracastoro, Enrico Magli · 2020 · IEEE Transactions on Image Processing
- A review of location encoding for GeoAI: methods and applicationsGengchen Mai, Krzysztof Janowicz, Yingjie Hu, Song Gao, Bo Yan, Rui Zhu, Ling Cai, Ni Lao · 2022 · International Journal of Geographical Information Systems
- Pointfilter: Point Cloud Filtering via Encoder-Decoder ModelingDongbo Zhang, Xuequan Lu, Hong Qin, Ying He · 2020 · IEEE Transactions on Visualization and Computer Graphics
- DUP-Net: Denoiser and Upsampler Network for 3D Adversarial Point Clouds DefenseHang Zhou, Kejiang Chen, Weiming Zhang, Han Fang, Wenbo Zhou, Nenghai Yu · 2019 · IEEE/CVF International Conference on Computer Vision (ICCV)
- Multi-View PointNet for 3D Scene UnderstandingMaximilian Jaritz, Jiayuan Gu, Hao Su · 2019 · IEEE International Conference on Computer Vision Workshops
- Rethinking Table Recognition using Graph Neural NetworksShah Rukh Qasim, Hassan Mahmood, Faisal Shafait B · 2019 · IAPR International Conference on Document Analysis and Recognition (ICDAR)
- AdaPoinTr: Diverse Point Cloud Completion With Adaptive Geometry-Aware TransformersXumin Yu, Yongming Rao, Ziyi Wang, Jiwen Lu, Jie Zhou · 2023 · IEEE Transactions on Pattern Analysis and Machine Intelligence
- Defect-aware transformer network for intelligent visual surface defect detectionHongbing Shang, Chuang Sun, Jinxin Liu, Xuefeng Chen, Ruqiang Yan · 2023 · Advanced Engineering Informatics
- CLIP2Point: Transfer CLIP to Point Cloud Classification with Image-Depth Pre-TrainingTianyu Huang, Bowen Dong, Yunhan Yang, Xiaoshui Huang, Rynson W. H. Lau, Wanli Ouyang, Wangmeng Zuo · 2023 · IEEE/CVF International Conference on Computer Vision (ICCV)
- Comparing Machine and Deep Learning Methods for Large 3D Heritage Semantic SegmentationFrancesca Matrone, Eleonora Grilli, Massimo Martini, Marina Paolanti, Roberto Pierdicca, Fabio Remondino A · 2020 · ISPRS International Journal of Geo-Information
- PointMixup: Augmentation for Point CloudsYunlu Chen, Vincent Tao Hu, Efstratios Gavves, Thomas Mensink, Pascal Mettes, Pengwan Yang, Cees G. M. Snoek · 2020 · Lecture notes in computer science
- Context-Aware Human Motion PredictionEnric Corona, Albert Pumarola, Guillem Alenyà, Francesc Moreno-Noguer · 2020 · IEEE Computer Society Conference on Computer Vision and Pattern Recognition/Proceedings - IEEE Computer Society Conference on Computer Vision and Pattern Recognition/Proceedings
- Perturbed Self-Distillation: Weakly Supervised Large-Scale Point Cloud Semantic SegmentationYachao Zhang, Yanyun Qu, Yuan Xie, Zonghao Li, Shanshan Zheng, Cuihua Li · 2021 · IEEE/CVF International Conference on Computer Vision (ICCV)
- A Survey on Graph Neural Networks and Graph Transformers in Computer Vision: A Task-Oriented PerspectiveChaoqi Chen, Yushuang Wu, Qiyuan Dai, Hong-Yu Zhou, Mutian Xu, Sibei Yang, Xiaoguang Han, Yizhou Yu · 2024 · IEEE Transactions on Pattern Analysis and Machine Intelligence
- Adaptive Hierarchical Down-Sampling for Point Cloud ClassificationEhsan Nezhadarya, Ehsan Taghavi, Ryan Razani, Bingbing Liu, Jun Luo · 2020 · IEEE Computer Society Conference on Computer Vision and Pattern Recognition/Proceedings - IEEE Computer Society Conference on Computer Vision and Pattern Recognition/Proceedings
- Graph Neural Networks: Taxonomy, Advances, and TrendsYu Ping Zhou, Haixia Zheng, Xin Huang, Shufeng Hao, Dengao Li, Jumin Zhao · 2022 · ACM Transactions on Intelligent Systems and Technology
- CoFiNet: Reliable Coarse-to-fine Correspondences for Robust Point Cloud RegistrationHao Yu, Li, Fu, Mahdi Saleh, Benjamin Busam, Slobodan Ilić · 2021 · arXiv (Cornell University)
- Rotation Invariant Convolutions for 3D Point Clouds Deep LearningZhiyuan Zhang, Binh‐Son Hua, David W. Rosen, Sai-Kit Yeung · 2019 · International Conference on 3D Vision (3DV)
- Complete & Label: A Domain Adaptation Approach to Semantic Segmentation of LiDAR Point CloudsLi Yi, Boqing Gong, Thomas A. Funkhouser · 2021 · IEEE Computer Society Conference on Computer Vision and Pattern Recognition/Proceedings - IEEE Computer Society Conference on Computer Vision and Pattern Recognition/Proceedings
- Automated semantic segmentation of industrial point clouds using ResPointNet++Chao Yin, Boyu Wang, Vincent J.L. Gan, Mingzhu Wang, Jack C.P. Cheng · 2021 · Automation in Construction
- Three-Dimensional Point Cloud Semantic Segmentation for Cultural Heritage: A Comprehensive ReviewSu Yang, Miaole Hou, Songnian Li · 2023 · Remote Sensing
- Modeling Local Geometric Structure of 3D Point Clouds Using Geo-CNNShiyi Lan, Ruichi Yu, Gang Yu, Larry Steven Davis · 2019 · IEEE Computer Society Conference on Computer Vision and Pattern Recognition/Proceedings - IEEE Computer Society Conference on Computer Vision and Pattern Recognition/Proceedings
- ParSeNet: A Parametric Surface Fitting Network for 3D Point CloudsGopal Sharma, Difan Liu, Subhransu Maji, Evangelos Kalogerakis, Siddhartha Chaudhuri, Radomír Měch · 2020 · Lecture notes in computer science
- SQN: Weakly-Supervised Semantic Segmentation of Large-Scale 3D Point CloudsQingyong Hu, Bo Yang, Guangchi Fang, Yulan Guo, Aleš Leonardis, Niki Trigoni, Andrew Markham · 2022 · Lecture notes in computer science
- Unsupervised Point Cloud Representation Learning With Deep Neural Networks: A SurveyAoran Xiao, Jiaxing Huang, Dayan Guan, Xiaoqin Zhang, Shijian Lu, Ling Shao · 2023 · IEEE Transactions on Pattern Analysis and Machine Intelligence
- Revisiting Point Cloud Shape Classification with a Simple and Effective BaselineGoyal, Ankit, Hei Law, Bowei Liu, Alejandro Newell, Jia Deng · 2021 · arXiv (Cornell University)
- Deep learning based point cloud registration: an overviewZhiyuan Zhang, Yuchao Dai, Jiadai Sun · 2020 · Virtual Reality & Intelligent Hardware
- Video Self-Stitching Graph Network for Temporal Action LocalizationChen Zhao, Ali Thabet, Bernard Ghanem · 2021 · IEEE/CVF International Conference on Computer Vision (ICCV)
- Masked Discrimination for Self-supervised Learning on Point CloudsHaotian Liu, Mu Cai, Yong Jae Lee · 2022 · Lecture notes in computer science
- Automated Seismic Source Characterization Using Deep Graph Neural NetworksMartijn van den Ende, Jean‐Paul Ampuero · 2020 · Geophysical Research Letters
- PGCN: Pyramidal Graph Convolutional Network for EEG Emotion RecognitionMing Jin, Changde Du, Huiguang He, Ting Cai, Jinpeng Li · 2024 · IEEE Transactions on Multimedia
- LiDAR-Based Online 3D Video Object Detection With Graph-Based Message Passing and Spatiotemporal Transformer AttentionJunbo Yin, Jianbing Shen, Chenye Guan, Dingfu Zhou, Ruigang Yang · 2020 · IEEE Computer Society Conference on Computer Vision and Pattern Recognition/Proceedings - IEEE Computer Society Conference on Computer Vision and Pattern Recognition/Proceedings
- Differentiable Hierarchical Graph Grouping for Multi-person Pose EstimationSheng Jin, Wentao Liu, Enze Xie, Wenhai Wang, Chen Qian, Wanli Ouyang, Ping Luo · 2020 · Lecture notes in computer science
- M3DETR: Multi-representation, Multi-scale, Mutual-relation 3D Object Detection with TransformersTianrui Guan, Jun Wang, Shiyi Lan, Rohan Chandra, Zuxuan Wu, Larry Steven Davis, Dinesh Manocha · 2022 · IEEE Winter Conference on Applications of Computer Vision
- SlideGraph + : Whole slide image level graphs to predict HER2 status in breast cancerWenqi Lu, Michael S. Toss, Muhammad Dawood, Emad A. Rakha, Nasir Rajpoot, Fayyaz Minhas · 2022 · Medical Image Analysis
- Fast end-to-end learning on protein surfacesFreyr Sverrisson, Jean Feydy, Bruno E. Correia, Michael M. Bronstein · 2021 · IEEE Computer Society Conference on Computer Vision and Pattern Recognition/Proceedings - IEEE Computer Society Conference on Computer Vision and Pattern Recognition/Proceedings
- AdvPC: Transferable Adversarial Perturbations on 3D Point CloudsAbdullah Hamdi, Sara Rojas, Ali Thabet, Bernard Ghanem · 2020 · Lecture notes in computer science
- Pyramid Point Cloud Transformer for Large-Scale Place RecognitionLe Hui, Hang Yang, Mingmei Cheng, Jin Xie, Jian Yang · 2021 · IEEE/CVF International Conference on Computer Vision (ICCV)
- RangeViT: Towards Vision Transformers for 3D Semantic Segmentation in Autonomous DrivingAngelika Ando, Spyros Gidaris, Andrei Bursuc, Gilles Puy, Alexandre Boulch, Renaud Marlet · 2023 · IEEE Computer Society Conference on Computer Vision and Pattern Recognition/Proceedings - IEEE Computer Society Conference on Computer Vision and Pattern Recognition/Proceedings
- Differentiable Manifold Reconstruction for Point Cloud DenoisingShitong Luo, Wei Hu · 2020 · ACM International Conference on Multimedia (ACM MM)
- PUGeo-Net: A Geometry-Centric Network for 3D Point Cloud UpsamplingYue Qian, Junhui Hou, Sam Kwong, Ying He · 2020 · Lecture notes in computer science
- CAT-Det: Contrastively Augmented Transformer for Multimodal 3D Object DetectionYanan Zhang, Jiaxin Chen, Di Huang · 2022 · IEEE Computer Society Conference on Computer Vision and Pattern Recognition/Proceedings - IEEE Computer Society Conference on Computer Vision and Pattern Recognition/Proceedings
- A dynamic graph convolutional neural network framework reveals new insights into connectome dysfunctions in ADHDKanhao Zhao, Boris Duka, Hua Xie, Desmond J. Oathes, Vince D. Calhoun, Yu Zhang · 2021 · NeuroImage
- PlantNet: A dual-function point cloud segmentation network for multiple plant speciesDawei Li, Guoliang Shi, Jinsheng Li, Yingliang Chen, Songyin Zhang, Shiyu Xiang, Shichao Jin · 2022 · ISPRS Journal of Photogrammetry and Remote Sensing
- Enable Deep Learning on Mobile Devices: Methods, Systems, and ApplicationsHan Cai, Ji Lin, Yujun Lin, Zhijian Liu, Haotian Tang, Hanrui Wang, Ligeng Zhu, Song Han · 2022 · ACM Transactions on Design Automation of Electronic Systems
- Learning representations of irregular particle-detector geometry with distance-weighted graph networksS. Qasim, J. Kieseler, Y. Iiyama, M. Pierini · 2019 · The European Physical Journal C
- TGNet: Geometric Graph CNN on 3-D Point Cloud SegmentationYing Li, Lingfei Ma, Zilong Zhong, Dongpu Cao, Jonathan Li · 2019 · IEEE Transactions on Geoscience and Remote Sensing
- Few-shot 3D Point Cloud Semantic SegmentationNa Zhao, Tat‐Seng Chua, Gim Hee Lee · 2021 · IEEE Computer Society Conference on Computer Vision and Pattern Recognition/Proceedings - IEEE Computer Society Conference on Computer Vision and Pattern Recognition/Proceedings
- A comprehensive review of Binary Neural NetworkChunyu Yuan, Sos С. Agaian · 2023 · Artificial Intelligence Review
- Graph Filters for Signal Processing and Machine Learning on GraphsElvin Isufi, Fernando Gama, David I Shuman, Santiago Segarra · 2024 · IEEE Transactions on Signal Processing
- Challenges and Solutions for Autonomous Ground Robot Scene Understanding and Navigation in Unstructured Outdoor Environments: A ReviewLiyana Wijayathunga, Alexander Rassau, Douglas Chai · 2023 · Applied Sciences
- Semantic Graph Based Place Recognition for 3D Point CloudsXin Kong, Xuemeng Yang, Guangyao Zhai, Xiangrui Zhao, Xianfang Zeng, Mengmeng Wang, Yong Liu, Wanlong Li, Feng Wen · 2020 · IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS)
- UV-Net: Learning from Boundary RepresentationsPradeep Kumar Jayaraman, Aditya Sanghi, Joseph G. Lambourne, Karl D. D. Willis, Thomas Davies, Hooman Shayani, Nigel Morris · 2021 · IEEE Computer Society Conference on Computer Vision and Pattern Recognition/Proceedings - IEEE Computer Society Conference on Computer Vision and Pattern Recognition/Proceedings
- Unsupervised 3D Shape Completion through GAN InversionJunzhe Zhang, Xinyi Chen, Zhongang Cai, Liang Pan, Haiyu Zhao, Shuai Yi, Chai Kiat Yeo, Bo Dai, Chen Change Loy · 2021 · IEEE Computer Society Conference on Computer Vision and Pattern Recognition/Proceedings - IEEE Computer Society Conference on Computer Vision and Pattern Recognition/Proceedings
- Relational Graph Attention NetworksDan Busbridge, Dane Sherburn, Pietro Cavallo, Nils Hammerla · 2019 · arXiv (Cornell University)
- Linked Dynamic Graph CNN: Learning on Point Cloud via Linking Hierarchical FeaturesKuangen Zhang, Hao, Ming, Jing Wang, Clarence Wilfred de Silva, Chenglong Fu · 2019 · arXiv (Cornell University)
- Guided Point Contrastive Learning for Semi-supervised Point Cloud Semantic SegmentationLi Jiang, Shaoshuai Shi, Zhuotao Tian, Xin Lai, Shu Liu, Chi‐Wing Fu, Jiaya Jia · 2021 · IEEE/CVF International Conference on Computer Vision (ICCV)
- LIF-Seg: LiDAR and Camera Image Fusion for 3D LiDAR Semantic SegmentationLin Fan Zhao, Hui Zhou, Xinge Zhu, Xiao Song, Hongsheng Li, Wenbing Tao · 2023 · IEEE Transactions on Multimedia
- Multi-Scale Point-Wise Convolutional Neural Networks for 3D Object Segmentation From LiDAR Point Clouds in Large-Scale EnvironmentsLingfei Ma, Ying Li, Jonathan Li, Weikai Tan, Yongtao Yu, Michael A. Chapman · 2019 · IEEE Transactions on Intelligent Transportation Systems
- JSENet: Joint Semantic Segmentation and Edge Detection Network for 3D Point CloudsZeyu Hu, Mingmin Zhen, Xuyang Bai, Hongbo Fu, Chiew‐Lan Tai · 2020 · Lecture notes in computer science
- Self-Positioning Point-Based Transformer for Point Cloud UnderstandingJinyoung Park, Sanghyeok Lee, Sihyeon Kim, Yunyang Xiong, Hyunwoo J. Kim · 2023 · IEEE Computer Society Conference on Computer Vision and Pattern Recognition/Proceedings - IEEE Computer Society Conference on Computer Vision and Pattern Recognition/Proceedings
- PointCNN: Convolution On $\mathcal{X}$-Transformed PointsYangyan Li, Rui Bu, Mingchao Sun, Wei Wu, Xinhan Di, Baoquan Chen · 2018 · arXiv (Cornell University)
- Global-Local Bidirectional Reasoning for Unsupervised Representation Learning of 3D Point CloudsYongming Rao, Jiwen Lu, Jie Zhou · 2020 · IEEE Computer Society Conference on Computer Vision and Pattern Recognition/Proceedings - IEEE Computer Society Conference on Computer Vision and Pattern Recognition/Proceedings
- Dense-Resolution Network for Point Cloud Classification and SegmentationShi Qiu, Saeed Anwar, Nick M. Barnes · 2021 · IEEE Winter Conference on Applications of Computer Vision
- Subdivision-based Mesh Convolution NetworksShi‐Min Hu, Zheng-Ning Liu, Meng-Hao Guo, Jun-Xiong Cai, Jiahui Huang, Tai‐Jiang Mu, Ralph Robert Martin · 2022 · ACM Transactions on Graphics
- Learning Geometry-Disentangled Representation for Complementary Understanding of 3D Object Point CloudMutian Xu, Junhao Zhang, Zhipeng Zhou, Mingye Xu, Xiaojuan Qi, Yu Qiao · 2021 · Proceedings of the AAAI Conference on Artificial Intelligence
- MeshWalkerAlon Lahav, Ayellet Tal · 2020 · ACM Transactions on Graphics
- Automated semantic segmentation of bridge point cloud based on local descriptor and machine learningTian Xia, Jian Yang, Long Chen · 2021 · Automation in Construction
- DeepFusionMOT: A 3D Multi-Object Tracking Framework Based on Camera-LiDAR Fusion With Deep AssociationXiyang Wang, Chunyun Fu, Zhankun Li, Ying Lai, Jiawei He · 2022 · IEEE Robotics and Automation Letters
- A survey of graph neural networks in various learning paradigms: methods, applications, and challengesLilapati Waikhom, Ripon Patgiri · 2022 · Artificial Intelligence Review
- Differentiable Graph Module (DGM) for Graph Convolutional NetworksAnees Kazi, Luca Cosmo, Seyed‐Ahmad Ahmadi, Nassir Navab, Michael M. Bronstein · 2022 · IEEE Transactions on Pattern Analysis and Machine Intelligence
- What You See is What You Get: Exploiting Visibility for 3D Object DetectionPeiyun Hu, Jason Ziglar, David Held, Deva Ramanan · 2020 · IEEE Computer Society Conference on Computer Vision and Pattern Recognition/Proceedings - IEEE Computer Society Conference on Computer Vision and Pattern Recognition/Proceedings
- Learning 3D Representations from 2D Pre-Trained Models via Image-to-Point Masked AutoencodersRenrui Zhang, Liuhui Wang, Yu Qiao, Peng Gao, Hongsheng Li · 2023 · IEEE Computer Society Conference on Computer Vision and Pattern Recognition/Proceedings - IEEE Computer Society Conference on Computer Vision and Pattern Recognition/Proceedings
- A BENCHMARK FOR LARGE-SCALE HERITAGE POINT CLOUD SEMANTIC SEGMENTATIONFrancesca Matrone, Andrea Maria Lingua, Roberto Pierdicca, Eva Savina Malinverni, Marina Paolanti, Eleonora Grilli, Fabio Remondino A, Arnadi Murtiyoso, Tania Landes · 2020 · The international archives of the photogrammetry, remote sensing and spatial information sciences/International archives of the photogrammetry, remote sensing and spatial information sciences
- Shape As Points: A Differentiable Poisson SolverSongyou Peng, Chiyu Max Jiang, Yiyi Liao, Michael Niemeyer, Marc Pollefeys, Andreas Geiger · 2021 · arXiv (Cornell University)
- Detection, Segmentation, and Model Fitting of Individual Tree Stems from Airborne Laser Scanning of Forests Using Deep LearningLloyd Windrim, Mitch Bryson · 2020 · Remote Sensing
- A reinforcement learning approach for optimizing multiple traveling salesman problems over graphsYujiao Hu, Yuan Yao, Wee Sun Lee · 2020 · Knowledge-Based Systems