research
∙
11/11/2022
LiDAL: Inter-frame Uncertainty Based Active Learning for 3D LiDAR Semantic Segmentation
We propose LiDAL, a novel active learning method for 3D LiDAR semantic s...
share
research
∙
07/29/2021
VMNet: Voxel-Mesh Network for Geodesic-Aware 3D Semantic Segmentation
In recent years, sparse voxel-based methods have become the state-of-the...
research
∙
07/21/2020
Dense Hybrid Recurrent Multi-view Stereo Net with Dynamic Consistency Checking
In this paper, we propose an efficient and effective dense hybrid recurr...
research
∙
12/06/2019
Pyramid Multi-view Stereo Net with Self-adaptive View Aggregation
In this paper, we propose an effective and efficient pyramid multi-view ...
research
∙
02/25/2019
Beyond Photometric Loss for Self-Supervised Ego-Motion Estimation
Accurate relative pose is one of the key components in visual odometry (...
research
∙
11/26/2018
Matchable Image Retrieval by Learning from Surface Reconstruction
Convolutional Neural Networks (CNNs) have achieved superior performance ...
research
∙
07/17/2018
GeoDesc: Learning Local Descriptors by Integrating Geometry Constraints
Learned local descriptors based on Convolutional Neural Networks (CNNs) ...
research
∙
07/16/2018
Learning and Matching Multi-View Descriptors for Registration of Point Clouds
Critical to the registration of point clouds is the establishment of a s...
research
∙
02/28/2017