{"list":"other","total":53,"rows":[{"id":"1612.00593","title":"PointNet: Deep Learning on Point Sets for 3D Classification and Segmentation","created":"2016-12-02","cited_by_count":5248},{"id":"1608.03983","title":"SGDR: Stochastic Gradient Descent with Warm Restarts","created":"2016-08-13","cited_by_count":5045},{"id":"2205.14135","title":"FlashAttention: Fast and Memory-Efficient Exact Attention with IO-Awareness","created":"2022-05-27","cited_by_count":3673},{"id":"1906.08237","title":"XLNet: Generalized Autoregressive Pretraining for Language Understanding","created":"2019-06-19","cited_by_count":2811},{"id":"2307.08691","title":"FlashAttention-2: Faster Attention with Better Parallelism and Work Partitioning","created":"2023-07-17","cited_by_count":2598},{"id":"1912.04838","title":"Scalability in Perception for Autonomous Driving: Waymo Open Dataset","created":"2019-12-10","cited_by_count":2451},{"id":"1711.03938","title":"CARLA: An Open Urban Driving Simulator","created":"2017-11-10","cited_by_count":2449},{"id":"2006.09661","title":"Implicit Neural Representations with Periodic Activation Functions","created":"2020-06-17","cited_by_count":2238},{"id":"1801.07829","title":"Dynamic Graph CNN for Learning on Point Clouds","created":"2018-01-24","cited_by_count":2223},{"id":"2106.10689","title":"NeuS: Learning Neural Implicit Surfaces by Volume Rendering for Multi-view Reconstruction","created":"2021-06-20","cited_by_count":1712},{"id":"1610.06475","title":"ORB-SLAM2: an Open-Source SLAM System for Monocular, Stereo and RGB-D Cameras","created":"2016-10-20","cited_by_count":806},{"id":"2002.10099","title":"Implicit Geometric Regularization for Learning Shapes","created":"2020-02-24","cited_by_count":710},{"id":"2301.00493","title":"Argoverse 2: Next Generation Datasets for Self-Driving Perception and Forecasting","created":"2023-01-02","cited_by_count":707},{"id":"2312.10035","title":"Point Transformer V3: Simpler, Faster, Stronger","created":"2023-12-15","cited_by_count":589},{"id":"2112.03907","title":"Ref-NeRF: Structured View-Dependent Appearance for Neural Radiance Fields","created":"2021-12-07","cited_by_count":575},{"id":"2206.00665","title":"MonoSDF: Exploring Monocular Geometric Cues for Neural Implicit Surface Reconstruction","created":"2022-06-01","cited_by_count":470},{"id":"2404.15506","title":"Metric3Dv2: A Versatile Monocular Geometric Foundation Model for Zero-shot Metric Depth and Surface Normal Estimation","created":"2024-03-22","cited_by_count":395},{"id":"2408.12569","title":"Sapiens: Foundation for Human Vision Models","created":"2024-08-22","cited_by_count":229},{"id":"2106.11037","title":"One Million Scenes for Autonomous Driving: ONCE Dataset","created":"2021-06-21","cited_by_count":218},{"id":"2106.03452","title":"Shape As Points: A Differentiable Poisson Solver","created":"2021-06-07","cited_by_count":187},{"id":"1812.00488","title":"DeepLiDAR: Deep Surface Normal Guided Depth Prediction for Outdoor Scene from Sparse LiDAR Data and Single Color Image","created":"2018-12-02","cited_by_count":129},{"id":"2206.13597","title":"NeuRIS: Neural Reconstruction of Indoor Scenes Using Normal Priors","created":"2022-06-27","cited_by_count":125},{"id":"2403.00712","title":"Rethinking Inductive Biases for Surface Normal Estimation","created":"2024-03-01","cited_by_count":124},{"id":"2306.04988","title":"StreetSurf: Extending Multi-view Implicit Surface Reconstruction to Street Views","created":"2023-06-08","cited_by_count":120},{"id":"1710.04954","title":"PCPNET: Learning Local Shape Properties from Raw Point Clouds","created":"2017-10-13","cited_by_count":98},{"id":"2304.03266","title":"Neural Fields meet Explicit Geometric Representation for Inverse Rendering of Urban Scenes","created":"2023-04-06","cited_by_count":90},{"id":"2107.05399","title":"Transfer Learning from Synthetic to Real LiDAR Point Cloud for Semantic Segmentation","created":"2021-07-12","cited_by_count":76},{"id":"2008.11351","title":"SNE-RoadSeg: Incorporating Surface Normal Information into Semantic Segmentation for Accurate Freespace Detection","created":"2020-08-26","cited_by_count":66},{"id":"2108.06682","title":"ST3D++: Denoised Self-training for Unsupervised Domain Adaptation on 3D Object Detection","created":"2021-08-15","cited_by_count":57},{"id":"2009.03456","title":"ePointDA: An End-to-End Simulation-to-Real Domain Adaptation Framework for LiDAR Point Cloud Segmentation","created":"2020-09-07","cited_by_count":56},{"id":"1812.00709","title":"Nesti-Net: Normal Estimation for Unstructured 3D Point Clouds using Convolutional Neural Networks","created":"2018-12-03","cited_by_count":44},{"id":"2003.10826","title":"DeepFit: 3D Surface Fitting via Neural Network Weighted Least Squares","created":"2020-03-23","cited_by_count":43},{"id":"2305.08808","title":"GeoMAE: Masked Geometric Target Prediction for Self-supervised Point Cloud Pre-Training","created":"2023-05-15","cited_by_count":38},{"id":"2207.09763","title":"GIPSO: Geometrically Informed Propagation for Online Adaptation in 3D LiDAR Segmentation","created":"2022-07-20","cited_by_count":35},{"id":"2108.05836","title":"AdaFit: Rethinking Learning-based Normal Estimation on Point Clouds","created":"2021-08-12","cited_by_count":29},{"id":"2307.07944","title":"Revisiting Domain-Adaptive 3D Object Detection by Reliable, Diverse and Class-balanced Pseudo-Labeling","created":"2023-07-16","cited_by_count":28},{"id":"2209.13036","title":"MonoGraspNet: 6-DoF Grasping with a Single RGB Image","created":"2022-09-26","cited_by_count":24},{"id":"2404.05145","title":"UniMix: Towards Domain Adaptive and Generalizable LiDAR Semantic Segmentation in Adverse Weather","created":"2024-04-08","cited_by_count":24},{"id":"2203.12514","title":"Refine-Net: Normal Refinement Neural Network for Noisy Point Clouds","created":"2022-03-23","cited_by_count":23},{"id":"2210.07158","title":"HSurf-Net: Normal Estimation for 3D Point Clouds by Learning Hyper Surfaces","created":"2022-10-13","cited_by_count":22},{"id":"2304.03251","title":"SALUDA: Surface-based Automotive Lidar Unsupervised Domain Adaptation","created":"2023-04-06","cited_by_count":21},{"id":"2207.11484","title":"GraphFit: Learning Multi-scale Graph-Convolutional Representation for Point Cloud Normal Estimation","created":"2022-07-23","cited_by_count":20},{"id":"2303.17167","title":"Rethinking the Approximation Error in 3D Surface Fitting for Point Cloud Normal Estimation","created":"2023-03-30","cited_by_count":13},{"id":"2309.05527","title":"ReSimAD: Zero-Shot 3D Domain Transfer for Autonomous Driving with Source Reconstruction and Target Simulation","created":"2023-09-11","cited_by_count":13},{"id":"2309.09211","title":"Neural Gradient Learning and Optimization for Oriented Point Normal Estimation","created":"2023-09-17","cited_by_count":11},{"id":"2305.05873","title":"Learning Signed Hyper Surfaces for Oriented Point Cloud Normal Estimation","created":"2023-05-10","cited_by_count":10},{"id":"2311.00389","title":"NeuralGF: Unsupervised Point Normal Estimation by Learning Neural Gradient Function","created":"2023-11-01","cited_by_count":10},{"id":"1908.06261","title":"3D Point Cloud Super-Resolution via Graph Total Variation on Surface Normals","created":"2019-08-17","cited_by_count":8},{"id":"2404.19384","title":"Pseudo Label Refinery for Unsupervised Domain Adaptation on Cross-dataset 3D Object Detection","created":"2024-04-30","cited_by_count":7},{"id":"2406.03461","title":"Polarization Wavefront Lidar: Learning Large Scene Reconstruction from Polarized Wavefronts","created":"2024-06-05","cited_by_count":7},{"id":"2312.09154","title":"CMG-Net: Robust Normal Estimation for Point Clouds via Chamfer Normal Distance and Multi-scale Geometry","created":"2023-12-14","cited_by_count":6},{"id":"2211.10580","title":"Normal Transformer: Extracting Surface Geometry from LiDAR Points Enhanced by Visual Semantics","created":"2022-11-19","cited_by_count":2},{"id":"2404.14281","title":"Fast and Robust Normal Estimation for Sparse LiDAR Scans","created":"2024-04-22","cited_by_count":1}],"next_cursor":null}