30 citations · 59 across the 5 of their papers we have counts for
8 papers
Dense Hybrid Recurrent Multi-view Stereo Net with Dynamic Consistency Checking
Jianfeng Yan, Zizhuang Wei, Hongwei Yi +5
In this paper, we propose an efficient and effective dense hybrid recurrent multi-view stereo net with dynamic consistency checking, namely HC-RMVSNet, for accurate dense po…
Domain-Adaptive Few-Shot Learning
An Zhao, Mingyu Ding, Zhiwu Lu +5
Existing few-shot learning (FSL) methods make the implicit assumption that the few target class samples are from the same domain as the source class samples. However, in practice t…
Segmenting Transparent Objects in the Wild
Enze Xie, Wenjia Wang, Wenhai Wang +3
Transparent objects such as windows and bottles made by glass widely exist in the real world. Segmenting transparent objects is challenging because these objects have diverse appea…
SegVoxelNet: Exploring Semantic Context and Depth-aware Features for 3D Vehicle Detection from Point Cloud
Hongwei Yi, Shaoshuai Shi, Mingyu Ding +6
3D vehicle detection based on point cloud is a challenging task in real-world applications such as autonomous driving. Despite significant progress has been made, we observe two as…
Learning Depth-Guided Convolutions for Monocular 3D Object Detection
Mingyu Ding, Yuqi Huo, Hongwei Yi +4
3D object detection from a single image without LiDAR is a challenging task due to the lack of accurate depth information. Conventional 2D convolutions are unsuitable for this task…
Pyramid Multi-view Stereo Net with Self-adaptive View Aggregation
Hongwei Yi, Zizhuang Wei, Mingyu Ding +4
n this paper, we propose an effective and efficient pyramid multi-view stereo (MVS) net with self-adaptive view aggregation for accurate and complete dense point cloud reconstructi…