{"list":"other","total":61,"rows":[{"id":"1412.6980","title":"Adam: A Method for Stochastic Optimization","created":"2014-12-22","cited_by_count":37240},{"id":"1912.01703","title":"PyTorch: An Imperative Style, High-Performance Deep Learning Library","created":"2019-12-03","cited_by_count":20305},{"id":"1903.11027","title":"nuScenes: A multimodal dataset for autonomous driving","created":"2019-03-26","cited_by_count":4523},{"id":"1912.04838","title":"Scalability in Perception for Autonomous Driving: Waymo Open Dataset","created":"2019-12-10","cited_by_count":2451},{"id":"1709.02371","title":"PWC-Net: CNNs for Optical Flow Using Pyramid, Warping, and Cost Volume","created":"2017-09-07","cited_by_count":968},{"id":"1812.04244","title":"PointRCNN: 3D Object Proposal Generation and Detection from Point Cloud","created":"2018-12-11","cited_by_count":941},{"id":"1911.02620","title":"Argoverse: 3D Tracking and Forecasting with Rich Maps","created":"2019-11-06","cited_by_count":732},{"id":"2111.14819","title":"Point-BERT: Pre-training 3D Point Cloud Transformers with Masked Point Modeling","created":"2021-11-29","cited_by_count":653},{"id":"2104.10133","title":"Large Scale Interactive Motion Forecasting for Autonomous Driving : The Waymo Open Motion Dataset","created":"2021-04-20","cited_by_count":537},{"id":"2005.04259","title":"VectorNet: Encoding HD Maps and Agent Dynamics from Vectorized Representation","created":"2020-05-08","cited_by_count":530},{"id":"2007.10985","title":"PointContrast: Unsupervised Pre-training for 3D Point Cloud Understanding","created":"2020-07-21","cited_by_count":504},{"id":"1906.12320","title":"PointFlow: 3D Point Cloud Generation with Continuous Normalizing Flows","created":"2019-06-28","cited_by_count":488},{"id":"2203.06604","title":"Masked Autoencoders for Point Cloud Self-supervised Learning","created":"2022-03-13","cited_by_count":459},{"id":"2008.08294","title":"TNT: Target-driveN Trajectory Prediction","created":"2020-08-19","cited_by_count":347},{"id":"2108.09640","title":"DenseTNT: End-to-end Trajectory Prediction from Dense Goal Sets","created":"2021-08-22","cited_by_count":295},{"id":"2205.14401","title":"Point-M2AE: Multi-scale Masked Autoencoders for Hierarchical Point Cloud Pre-training","created":"2022-05-28","cited_by_count":264},{"id":"1905.03678","title":"What Do Single-view 3D Reconstruction Networks Learn?","created":"2019-05-09","cited_by_count":260},{"id":"1911.10298","title":"CoverNet: Multimodal Behavior Prediction using Trajectory Sets","created":"2019-11-23","cited_by_count":259},{"id":"1806.01411","title":"FlowNet3D: Learning Scene Flow in 3D Point Clouds","created":"2018-06-04","cited_by_count":242},{"id":"1701.03077","title":"A General and Adaptive Robust Loss Function","created":"2017-01-11","cited_by_count":236},{"id":"2101.02691","title":"Self-Supervised Pretraining of 3D Features on any Point-Cloud","created":"2021-01-07","cited_by_count":217},{"id":"2010.01089","title":"Unsupervised Point Cloud Pre-Training via Occlusion Completion","created":"2020-10-02","cited_by_count":186},{"id":"2203.11183","title":"Masked Discrimination for Self-Supervised Learning on Point Clouds","created":"2022-03-21","cited_by_count":155},{"id":"2005.14711","title":"PnPNet: End-to-End Perception and Prediction with Tracking in the Loop","created":"2020-05-29","cited_by_count":144},{"id":"2305.11487","title":"PointGPT: Auto-regressively Generative Pre-training from Point Clouds","created":"2023-05-19","cited_by_count":115},{"id":"2111.12702","title":"Density-aware Chamfer Distance as a Comprehensive Metric for Point Cloud Completion","created":"2021-11-24","cited_by_count":112},{"id":"1906.05332","title":"HPLFlowNet: Hierarchical Permutohedral Lattice FlowNet for Scene Flow Estimation on Large-scale Point Clouds","created":"2019-06-12","cited_by_count":109},{"id":"2003.06754","title":"MotionNet: Joint Perception and Motion Prediction for Autonomous Driving Based on Bird's Eye View Maps","created":"2020-03-15","cited_by_count":100},{"id":"1912.00497","title":"Just Go with the Flow: Self-Supervised Scene Flow Estimation","created":"2019-12-01","cited_by_count":98},{"id":"2111.01253","title":"Neural Scene Flow Prior","created":"2021-11-01","cited_by_count":91},{"id":"2004.12255","title":"TPNet: Trajectory Proposal Network for Motion Prediction","created":"2020-04-26","cited_by_count":80},{"id":"2011.10147","title":"FlowStep3D: Model Unrolling for Self-Supervised Scene Flow Estimation","created":"2020-11-19","cited_by_count":71},{"id":"2006.02598","title":"Info3D: Representation Learning on 3D Objects using Mutual Information Maximization and Contrastive Learning","created":"2020-06-04","cited_by_count":68},{"id":"2102.08945","title":"Weakly Supervised Learning of Rigid 3D Scene Flow","created":"2021-02-17","cited_by_count":60},{"id":"2210.08061","title":"Motion Inspired Unsupervised Perception and Prediction in Autonomous Driving","created":"2022-10-14","cited_by_count":59},{"id":"2202.13589","title":"Unsupervised Point Cloud Representation Learning with Deep Neural Networks: A Survey","created":"2022-02-28","cited_by_count":54},{"id":"2103.01306","title":"Scalable Scene Flow from Point Clouds in the Real World","created":"2021-03-01","cited_by_count":50},{"id":"2301.00157","title":"Ponder: Point Cloud Pre-training via Neural Rendering","created":"2022-12-31","cited_by_count":50},{"id":"2011.00320","title":"Scene Flow from Point Clouds with or without Learning","created":"2020-10-31","cited_by_count":44},{"id":"2104.08683","title":"Self-Supervised Pillar Motion Learning for Autonomous Driving","created":"2021-04-18","cited_by_count":44},{"id":"2207.12654","title":"ProposalContrast: Unsupervised Pre-training for LiDAR-based 3D Object Detection","created":"2022-07-26","cited_by_count":43},{"id":"2009.10467","title":"Self-Supervised Learning of Non-Rigid Residual Flow and Ego-Motion","created":"2020-09-22","cited_by_count":41},{"id":"2105.08248","title":"Self-Point-Flow: Self-Supervised Scene Flow Estimation from Point Clouds with Optimal Transport and Random Walk","created":"2021-05-18","cited_by_count":39},{"id":"2207.07522","title":"Bi-PointFlowNet: Bidirectional Learning for Point Cloud Based Scene Flow Estimation","created":"2022-07-15","cited_by_count":38},{"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},{"id":"2207.09143","title":"What Matters for 3D Scene Flow Network","created":"2022-07-19","cited_by_count":31},{"id":"1809.03782","title":"Long-Term Occupancy Grid Prediction Using Recurrent Neural Networks","created":"2018-09-11","cited_by_count":29},{"id":"2305.02528","title":"Self-Supervised 3D Scene Flow Estimation Guided by Superpoints","created":"2023-05-04","cited_by_count":24},{"id":"2005.04255","title":"STINet: Spatio-Temporal-Interactive Network for Pedestrian Detection and Trajectory Prediction","created":"2020-05-08","cited_by_count":22},{"id":"2008.01179","title":"PillarFlow: End-to-end Birds-eye-view Flow Estimation for Autonomous Driving","created":"2020-08-03","cited_by_count":16},{"id":"2111.11704","title":"Deep Point Cloud Reconstruction","created":"2021-11-23","cited_by_count":15},{"id":"2011.08659","title":"Dynamic Occupancy Grid Mapping with Recurrent Neural Networks","created":"2020-11-17","cited_by_count":13},{"id":"2104.04724","title":"Occlusion Guided Self-supervised Scene Flow Estimation on 3D Point Clouds","created":"2021-04-10","cited_by_count":11},{"id":"2111.08755","title":"Learning Scene Dynamics from Point Cloud Sequences","created":"2021-11-16","cited_by_count":9},{"id":"2004.11647","title":"Any Motion Detector: Learning Class-agnostic Scene Dynamics from a Sequence of LiDAR Point Clouds","created":"2020-04-24","cited_by_count":8},{"id":"2203.12193","title":"Self-Supervised Robust Scene Flow Estimation via the Alignment of Probability Density Functions","created":"2022-03-23","cited_by_count":7},{"id":"2312.08009","title":"Semi-Supervised Class-Agnostic Motion Prediction with Pseudo Label Regeneration and BEVMix","created":"2023-12-13","cited_by_count":6},{"id":"2401.11499","title":"Self-Supervised Bird's Eye View Motion Prediction with Cross-Modality Signals","created":"2024-01-21","cited_by_count":5},{"id":"2403.13261","title":"Self-Supervised Class-Agnostic Motion Prediction with Spatial and Temporal Consistency Regularizations","created":"2024-03-20","cited_by_count":5},{"id":"2304.12589","title":"ContrastMotion: Self-supervised Scene Motion Learning for Large-Scale LiDAR Point Clouds","created":"2023-04-25","cited_by_count":3},{"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}],"next_cursor":null}