{"total":111,"rows":[{"id":"2310.08528","title":"4D Gaussian Splatting for Real-Time Dynamic Scene Rendering","created":"2023-10-12","cited_by_count":1157,"area":null},{"id":"2203.01577","title":"HOI4D: A 4D Egocentric Dataset for Category-Level Human-Object Interaction","created":"2022-03-03","cited_by_count":327,"area":null},{"id":"2103.05073","title":"Offboard 3D Object Detection from Point Cloud Sequences","created":"2021-03-08","cited_by_count":145,"area":null},{"id":"2105.01905","title":"4DComplete: Non-Rigid Motion Estimation Beyond the Observable Surface","created":"2021-05-05","cited_by_count":124,"area":null},{"id":"2111.01253","title":"Neural Scene Flow Prior","created":"2021-11-01","cited_by_count":91,"area":null},{"id":"2205.13713","title":"PSTNet: Point Spatio-Temporal Convolution on Point Cloud Sequences","created":"2022-05-27","cited_by_count":68,"area":null},{"id":"2102.08945","title":"Weakly Supervised Learning of Rigid 3D Scene Flow","created":"2021-02-17","cited_by_count":60,"area":null},{"id":"2111.10502","title":"CamLiFlow: Bidirectional Camera-LiDAR Fusion for Joint Optical Flow and Scene Flow Estimation","created":"2021-11-20","cited_by_count":56,"area":null},{"id":"2107.02389","title":"Learning Semantic Segmentation of Large-Scale Point Clouds with Random Sampling","created":"2021-07-06","cited_by_count":51,"area":null},{"id":"2103.01306","title":"Scalable Scene Flow from Point Clouds in the Real World","created":"2021-03-01","cited_by_count":50,"area":null},{"id":"2207.12394","title":"Dynamic 3D Scene Analysis by Point Cloud Accumulation","created":"2022-07-25","cited_by_count":47,"area":null},{"id":"2101.06605","title":"MultiBodySync: Multi-Body Segmentation and Motion Estimation via 3D Scan Synchronization","created":"2021-01-17","cited_by_count":46,"area":null},{"id":"2304.09121","title":"Fast Neural Scene Flow","created":"2023-04-18","cited_by_count":41,"area":null},{"id":"2109.10115","title":"StereOBJ-1M: Large-scale Stereo Image Dataset for 6D Object Pose Estimation","created":"2021-09-21","cited_by_count":40,"area":null},{"id":"2302.06594","title":"Geometric Clifford Algebra Networks","created":"2023-02-13","cited_by_count":38,"area":null},{"id":"2105.07751","title":"HCRF-Flow: Scene Flow from Point Clouds with Continuous High-order CRFs and Position-aware Flow Embedding","created":"2021-05-17","cited_by_count":36,"area":null},{"id":"2206.04129","title":"Receding Moving Object Segmentation in 3D LiDAR Data Using Sparse 4D Convolutions","created":"2022-06-08","cited_by_count":35,"area":null},{"id":"2208.00281","title":"Point Primitive Transformer for Long-Term 4D Point Cloud Video Understanding","created":"2022-07-30","cited_by_count":35,"area":null},{"id":"2402.17351","title":"ICP-Flow: LiDAR Scene Flow Estimation with ICP","created":"2024-02-27","cited_by_count":35,"area":null},{"id":"2306.00979","title":"Building Rearticulable Models for Arbitrary 3D Objects from 4D Point Clouds","created":"2023-06-01","cited_by_count":34,"area":null},{"id":"2103.16341","title":"Learning Parallel Dense Correspondence from Spatio-Temporal Descriptors for Efficient and Robust 4D Reconstruction","created":"2021-03-30","cited_by_count":31,"area":null},{"id":"2204.03139","title":"DiffCloud: Real-to-Sim from Point Clouds with Differentiable Simulation and Rendering of Deformable Objects","created":"2022-04-07","cited_by_count":31,"area":null},{"id":"2207.09143","title":"What Matters for 3D Scene Flow Network","created":"2022-07-19","cited_by_count":31,"area":null},{"id":"2104.00798","title":"FESTA: Flow Estimation via Spatial-Temporal Attention for Scene Point Clouds","created":"2021-04-01","cited_by_count":30,"area":null},{"id":"2309.15082","title":"RPEFlow: Multimodal Fusion of RGB-PointCloud-Event for Joint Optical Flow and Scene Flow Estimation","created":"2023-09-26","cited_by_count":26,"area":null},{"id":"2111.02135","title":"Efficient 3D Deep LiDAR Odometry","created":"2021-11-03","cited_by_count":25,"area":null},{"id":"2203.11113","title":"No Pain, Big Gain: Classify Dynamic Point Cloud Sequences with Static Models by Fitting Feature-level Space-time Surfaces","created":"2022-03-21","cited_by_count":25,"area":null},{"id":"2210.04458","title":"OGC: Unsupervised 3D Object Segmentation from Rigid Dynamics of Point Clouds","created":"2022-10-10","cited_by_count":25,"area":null},{"id":"2212.04245","title":"Domain generalization of 3D semantic segmentation in autonomous driving","created":"2022-12-07","cited_by_count":25,"area":null},{"id":"2305.02528","title":"Self-Supervised 3D Scene Flow Estimation Guided by Superpoints","created":"2023-05-04","cited_by_count":24,"area":null},{"id":"2308.12113","title":"Advancements in Point Cloud Data Augmentation for Deep Learning: A Survey","created":"2023-08-23","cited_by_count":24,"area":null},{"id":"2110.09783","title":"Spatial-Temporal Transformer for 3D Point Cloud Sequences","created":"2021-10-19","cited_by_count":22,"area":null},{"id":"2305.04075","title":"PointCMP: Contrastive Mask Prediction for Self-supervised Learning on Point Cloud Videos","created":"2023-05-06","cited_by_count":22,"area":null},{"id":"2205.00705","title":"3D Object Detection with a Self-supervised Lidar Scene Flow Backbone","created":"2022-05-02","cited_by_count":19,"area":null},{"id":"2305.16314","title":"Banana: Banach Fixed-Point Network for Pointcloud Segmentation with Inter-Part Equivariance","created":"2023-05-25","cited_by_count":19,"area":null},{"id":"2308.09245","title":"Masked Spatio-Temporal Structure Prediction for Self-supervised Learning on Point Cloud Videos","created":"2023-08-18","cited_by_count":19,"area":null},{"id":"2602.23069","title":"Align then Adapt: Rethinking Parameter-Efficient Transfer Learning in 4D Perception","created":"2026-02-26","cited_by_count":18,"area":null},{"id":"2204.10916","title":"Revealing Occlusions with 4D Neural Fields","created":"2022-04-22","cited_by_count":17,"area":null},{"id":"2304.02150","title":"Re-Evaluating LiDAR Scene Flow for Autonomous Driving","created":"2023-04-04","cited_by_count":17,"area":null},{"id":"2308.09247","title":"Point Contrastive Prediction with Semantic Clustering for Self-Supervised Learning on Point Cloud Videos","created":"2023-08-18","cited_by_count":16,"area":null},{"id":"2308.04383","title":"DELFlow: Dense Efficient Learning of Scene Flow for Large-Scale Point Clouds","created":"2023-08-08","cited_by_count":14,"area":null},{"id":"2308.13323","title":"SVQNet: Sparse Voxel-Adjacent Query Network for 4D Spatio-Temporal LiDAR Semantic Segmentation","created":"2023-08-25","cited_by_count":14,"area":null},{"id":"2204.00354","title":"RMS-FlowNet: Efficient and Robust Multi-Scale Scene Flow Estimation for Large-Scale Point Clouds","created":"2022-04-01","cited_by_count":13,"area":null},{"id":"2310.10301","title":"Multi-Body Neural Scene Flow","created":"2023-10-16","cited_by_count":12,"area":null},{"id":"2312.07378","title":"X4D-SceneFormer: Enhanced Scene Understanding on 4D Point Cloud Videos through Cross-modal Knowledge Transfer","created":"2023-12-12","cited_by_count":12,"area":null},{"id":"2304.07773","title":"PCPNet: An Efficient and Semantic-Enhanced Transformer Network for Point Cloud Prediction","created":"2023-04-16","cited_by_count":11,"area":null},{"id":"2110.09355","title":"FAST3D: Flow-Aware Self-Training for 3D Object Detectors","created":"2021-10-18","cited_by_count":10,"area":null},{"id":"2303.06346","title":"3DInAction: Understanding Human Actions in 3D Point Clouds","created":"2023-03-11","cited_by_count":10,"area":null},{"id":"2303.12017","title":"Learning Optical Flow and Scene Flow with Bidirectional Camera-LiDAR Fusion","created":"2023-03-21","cited_by_count":10,"area":null},{"id":"2508.01170","title":"DELTAv2: Accelerating Dense 3D Tracking","created":"2025-08-02","cited_by_count":10,"area":null},{"id":"2109.10127","title":"KDFNet: Learning Keypoint Distance Field for 6D Object Pose Estimation","created":"2021-09-21","cited_by_count":9,"area":null},{"id":"2111.08492","title":"Real-time 3D human action recognition based on Hyperpoint sequence","created":"2021-11-16","cited_by_count":9,"area":null},{"id":"2111.08755","title":"Learning Scene Dynamics from Point Cloud Sequences","created":"2021-11-16","cited_by_count":9,"area":null},{"id":"2203.11590","title":"IDEA-Net: Dynamic 3D Point Cloud Interpolation via Deep Embedding Alignment","created":"2022-03-22","cited_by_count":9,"area":null},{"id":"2202.06263","title":"LighTN: Light-weight Transformer Network for Performance-overhead Tradeoff in Point Cloud Downsampling","created":"2022-02-13","cited_by_count":8,"area":null},{"id":"2209.00407","title":"MAPLE: Masked Pseudo-Labeling autoEncoder for Semi-supervised Point Cloud Action Recognition","created":"2022-09-01","cited_by_count":8,"area":null},{"id":"2303.18177","title":"STMT: A Spatial-Temporal Mesh Transformer for MoCap-Based Action Recognition","created":"2023-03-31","cited_by_count":7,"area":null},{"id":"2306.05584","title":"Multi-body SE(3) Equivariance for Unsupervised Rigid Segmentation and Motion Estimation","created":"2023-06-08","cited_by_count":7,"area":null},{"id":"2403.01129","title":"Dynamic 3D Point Cloud Sequences as 2D Videos","created":"2024-03-02","cited_by_count":7,"area":null},{"id":"2204.09337","title":"Sequential Point Clouds: A Survey","created":"2022-04-20","cited_by_count":6,"area":null},{"id":"2401.09057","title":"CrossVideo: Self-supervised Cross-modal Contrastive Learning for Point Cloud Video Understanding","created":"2024-01-17","cited_by_count":6,"area":null},{"id":"2606.24175","title":"Tri-Efficient Transfer Learning for Point Cloud Videos","created":"2026-06-23","cited_by_count":6,"area":null},{"id":"2203.16482","title":"RFNet-4D++: Joint Object Reconstruction and Flow Estimation from 4D Point Clouds with Cross-Attention Spatio-Temporal Features","created":"2022-03-30","cited_by_count":5,"area":null},{"id":"2305.12959","title":"Contrastive Predictive Autoencoders for Dynamic Point Cloud Self-Supervised Learning","created":"2023-05-22","cited_by_count":5,"area":null},{"id":"2310.08326","title":"NSM4D: Neural Scene Model Based Online 4D Point Cloud Sequence Understanding","created":"2023-10-12","cited_by_count":5,"area":null},{"id":"2406.05533","title":"PAPR in Motion: Seamless Point-level 3D Scene Interpolation","created":"2024-06-08","cited_by_count":5,"area":null},{"id":"2506.22718","title":"Part Segmentation and Motion Estimation for Articulated Objects with Dynamic 3D Gaussians","created":"2025-06-28","cited_by_count":5,"area":null},{"id":"2111.03987","title":"V-MAO: Generative Modeling for Multi-Arm Manipulation of Articulated Objects","created":"2021-11-07","cited_by_count":3,"area":null},{"id":"2207.04673","title":"Learning Spatial and Temporal Variations for 4D Point Cloud Segmentation","created":"2022-07-11","cited_by_count":3,"area":null},{"id":"2207.06079","title":"Teachers in concordance for pseudo-labeling of 3D sequential data","created":"2022-07-13","cited_by_count":3,"area":null},{"id":"2305.15213","title":"GTNet: Graph Transformer Network for 3D Point Cloud Classification and Semantic Segmentation","created":"2023-05-24","cited_by_count":3,"area":null},{"id":"2403.16116","title":"Self-Supervised Multi-Frame Neural Scene Flow","created":"2024-03-24","cited_by_count":3,"area":null},{"id":"2403.20031","title":"A Unified Framework for Human-centric Point Cloud Video Understanding","created":"2024-03-29","cited_by_count":3,"area":null},{"id":"2404.08363","title":"Let-It-Flow: Simultaneous Optimization of 3D Flow and Object Clustering","created":"2024-04-12","cited_by_count":3,"area":null},{"id":"2503.09332","title":"SDD-4DGS: Static-Dynamic Aware Decoupling in Gaussian Splatting for 4D Scene Reconstruction","created":"2025-03-12","cited_by_count":3,"area":null},{"id":"2504.04837","title":"Uni4D: A Unified Self-Supervised Learning Framework for Point Cloud Videos","created":"2025-04-07","cited_by_count":3,"area":null},{"id":"2205.02834","title":"Fixing Malfunctional Objects With Learned Physical Simulation and Functional Prediction","created":"2022-05-05","cited_by_count":2,"area":null},{"id":"2209.04945","title":"Unsupervised Learning of 3D Scene Flow with 3D Odometry Assistance","created":"2022-09-11","cited_by_count":2,"area":null},{"id":"2212.00567","title":"P2Net: A Post-Processing Network for Refining Semantic Segmentation of LiDAR Point Cloud based on Consistency of Consecutive Frames","created":"2022-12-01","cited_by_count":2,"area":null},{"id":"2306.05978","title":"3D objects and scenes classification, recognition, segmentation, and reconstruction using 3D point cloud data: A review","created":"2023-06-09","cited_by_count":2,"area":null},{"id":"2307.16803","title":"DPMix: Mixture of Depth and Point Cloud Video Experts for 4D Action Segmentation","created":"2023-07-31","cited_by_count":2,"area":null},{"id":"2310.11284","title":"Self-Supervised 3D Scene Flow Estimation and Motion Prediction using Local Rigidity Prior","created":"2023-10-17","cited_by_count":2,"area":null},{"id":"2405.06929","title":"PRENet: A Plane-Fit Redundancy Encoding Point Cloud Sequence Network for Real-Time 3D Action Recognition","created":"2024-05-11","cited_by_count":2,"area":null},{"id":"2409.01879","title":"SPiKE: 3D Human Pose from Point Cloud Sequences","created":"2024-09-03","cited_by_count":2,"area":null},{"id":"2503.11371","title":"EMoTive: Event-guided Trajectory Modeling for 3D Motion Estimation","created":"2025-03-14","cited_by_count":2,"area":null},{"id":"2504.05076","title":"Content-Distortion High-Order Interaction for Blind Image Quality Assessment","created":"2025-04-07","cited_by_count":2,"area":null},{"id":"2112.03728","title":"Flexible Networks for Learning Physical Dynamics of Deformable Objects","created":"2021-12-07","cited_by_count":1,"area":null},{"id":"2306.04466","title":"Point Cloud Video Anomaly Detection Based on Point Spatio-Temporal Auto-Encoder","created":"2023-06-04","cited_by_count":1,"area":null},{"id":"2311.06043","title":"Deep learning for 3D Object Detection and Tracking in Autonomous Driving: A Brief Survey","created":"2023-11-10","cited_by_count":1,"area":null},{"id":"2312.08879","title":"Regularizing Self-supervised 3D Scene Flows with Surface Awareness and Cyclic Consistency","created":"2023-12-12","cited_by_count":1,"area":null},{"id":"2403.05896","title":"Fast Kernel Scene Flow","created":"2024-03-09","cited_by_count":1,"area":null},{"id":"2408.01688","title":"SiamMo: Siamese Motion-Centric 3D Object Tracking","created":"2024-08-03","cited_by_count":1,"area":null},{"id":"2502.16049","title":"Quasi Zigzag Persistence: A Topological Framework for Analyzing Time-Varying Data","created":"2025-02-22","cited_by_count":1,"area":null},{"id":"2503.01930","title":"Road Boundary Detection Using 4D mmWave Radar for Autonomous Driving","created":"2025-03-03","cited_by_count":1,"area":null},{"id":"2505.23301","title":"Quality assessment of 3D human animation: Subjective and objective evaluation","created":"2025-05-29","cited_by_count":1,"area":null},{"id":"2506.13897","title":"DeSPITE: Exploring Contrastive Deep Skeleton-Pointcloud-IMU-Text Embeddings for Advanced Point Cloud Human Activity Understanding","created":"2025-06-16","cited_by_count":1,"area":null},{"id":"2604.11637","title":"STS-Mixer: Spatio-Temporal-Spectral Mixer for 4D Point Cloud Video Understanding","created":"2026-04-13","cited_by_count":1,"area":null},{"id":"2606.03160","title":"SRENet: Spectral Re-Entry Network for Point Cloud Action Recognition","created":"2026-06-02","cited_by_count":1,"area":null},{"id":"2112.00289","title":"Point Cloud Segmentation Using Sparse Temporal Local Attention","created":"2021-12-01","cited_by_count":0,"area":null},{"id":"2207.00329","title":"Literature on Hand GESTURE Recognition using Graph based methods","created":"2022-07-01","cited_by_count":0,"area":null}],"next_cursor":"100"}