Point-Voxel CNN for Efficient 3D Deep Learning(PVCNN), Zhijian Liu (MIT EECS)

Point-Voxel CNN for Efficient 3D Deep Learning(PVCNN), Zhijian Liu (MIT EECS)

3D detection with PVCNNПодробнее

3D detection with PVCNN

[ECCV 2020 Tutorial] AutoML for Efficient 3D Deep LearningПодробнее

[ECCV 2020 Tutorial] AutoML for Efficient 3D Deep Learning

Efficient 3D Perception for Autonomous Vehicles (Zhijian Liu @ CVPR 2023 ECV)Подробнее

Efficient 3D Perception for Autonomous Vehicles (Zhijian Liu @ CVPR 2023 ECV)

Point Voxel CNN for Efficient 3D Deep Learning, NeurIPS 2019, spotlight presentation.Подробнее

Point Voxel CNN for Efficient 3D Deep Learning, NeurIPS 2019, spotlight presentation.

[NeurIPS 2019 Spotlight] Point-Voxel CNN for Efficient 3D Deep LearningПодробнее

[NeurIPS 2019 Spotlight] Point-Voxel CNN for Efficient 3D Deep Learning

Efficient LiDAR Perception for Autonomous Racing Vehicle with Point-Voxel CNNПодробнее

Efficient LiDAR Perception for Autonomous Racing Vehicle with Point-Voxel CNN

Efficient 3D Perception for Autonomous Vehicles (Zhijian Liu)Подробнее

Efficient 3D Perception for Autonomous Vehicles (Zhijian Liu)

[ECCV 2020] Searching Efficient 3D Architectures with Sparse Point-Voxel ConvolutionПодробнее

[ECCV 2020] Searching Efficient 3D Architectures with Sparse Point-Voxel Convolution

Efficient 3D Object and Scene Segmentation with Point-Voxel CNN (on NVIDIA Jetson)Подробнее

Efficient 3D Object and Scene Segmentation with Point-Voxel CNN (on NVIDIA Jetson)

PV-RCNN: Point-Voxel Feature Set Abstraction for 3D Object DetectionПодробнее

PV-RCNN: Point-Voxel Feature Set Abstraction for 3D Object Detection

Efficient 3D Perception for Autonomous Vehicles Zhijian Liu MITПодробнее

Efficient 3D Perception for Autonomous Vehicles Zhijian Liu MIT