Showing 1–20 of 43 results
/ Date/ Name
Apr 9, 2020FKAConv: Feature-Kernel Alignment for Point Cloud ConvolutionOct 31, 2018Ionospheric activity prediction using convolutional recurrent neural networksFeb 7, 2025GaussRender: Learning 3D Occupancy with Gaussian RenderingNov 30, 2021NeeDrop: Self-supervised Shape Representation from Sparse Point Clouds using Needle DroppingSep 12, 2024ReGentS: Real-World Safety-Critical Driving Scenario Generation Made StableJul 10, 2020STaRFlow: A SpatioTemporal Recurrent Cell for Lightweight Multi-Frame Optical Flow EstimationDec 9, 2024PPT: Pretraining with Pseudo-Labeled Trajectories for Motion ForecastingJul 22, 2020FLOT: Scene Flow on Point Clouds Guided by Optimal TransportOct 4, 2021PCAM: Product of Cross-Attention Matrices for Rigid Registration of Point CloudsMar 30, 2022Image-to-Lidar Self-Supervised Distillation for Autonomous Driving DataFeb 28, 2017ShaResNet: reducing residual network parameter number by sharing weightsOct 26, 2023Three Pillars improving Vision Foundation Model Distillation for LidarApr 14, 2022CroCo: Cross-Modal Contrastive learning for localization of Earth Observation dataOct 15, 2020Semi-Supervised Semantic Segmentation in Earth Observation: The MiniFrance Suite, Dataset Analysis and Multi-task Network StudyJan 24, 2023Using a Waffle Iron for Automotive Point Cloud Semantic SegmentationDec 12, 2022ALSO: Automotive Lidar Self-supervision by Occupancy estimationJan 5, 2022POCO: Point Convolution for Surface ReconstructionApr 4, 2019ConvPoint: Continuous Convolutions for Point Cloud ProcessingAug 13, 2021Generative Zero-Shot Learning for Semantic Segmentation of 3D Point CloudsApr 6, 2023SALUDA: Surface-based Automotive Lidar Unsupervised Domain Adaptation