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Found 7 papers, 1 papers with code
Point Set Voting for Partial Point Cloud Analysis
This paper illustrates that this proposed method achieves state-of-the-art performance on shape classification, part segmentation and point cloud completion.
Deep Reinforcement Learning for Multi-Resource Multi-Machine Job Scheduling
Minimizing job scheduling time is a fundamental issue in data center networks that has been extensively studied in recent years.
AliMe KBQA: Question Answering over Structured Knowledge for E-commerce Customer Service
With the rise of knowledge graph (KG), question answering over knowledge base (KBQA) has attracted increasing attention in recent years.
LidarMultiNet: Unifying LiDAR Semantic Segmentation, 3D Object Detection, and Panoptic Segmentation in a Single Multi-task Network
This technical report presents the 1st place winning solution for the Waymo Open Dataset 3D semantic segmentation challenge 2022.
LidarMultiNet: Towards a Unified Multi-Task Network for LiDAR Perception
LidarMultiNet is extensively tested on both Waymo Open Dataset and nuScenes dataset, demonstrating for the first time that major LiDAR perception tasks can be unified in a single strong network that is trained end-to-end and achieves state-of-the-art performance.
LiDARFormer: A Unified Transformer-based Multi-task Network for LiDAR Perception
The proposed LiDARFormer utilizes cross-space global contextual feature information and exploits cross-task synergy to boost the performance of LiDAR perception tasks across multiple large-scale datasets and benchmarks.
LPFormer: LiDAR Pose Estimation Transformer with Multi-Task Network
Due to the difficulty of acquiring large-scale 3D human keypoint annotation, previous methods for 3D human pose estimation (HPE) have often relied on 2D image features and sequential 2D annotations.
