20 citations · 39 across the 12 of their papers we have counts for
13 papers
TADP: Task-Aware Deformable Prediction for Single-Stage 3D Object Detection
Su Wang, Yaochen Li, Min Yang +3
Most single-stage 3D object detectors complete different tasks with the same extracted features. Nevertheless, it is impossible to project features into a common space that is adap…
BEV-LaneDet: a Simple and Effective 3D Lane Detection Baseline
Ruihao Wang, Jian Qin, Kaiying Li +3
3D lane detection which plays a crucial role in vehicle routing, has recently been a rapidly developing topic in autonomous driving. Previous works struggle with practicality due t…
SiamPolar: Semi-supervised Realtime Video Object Segmentation with Polar Representation
Yaochen Li, Yuhui Hong, Yonghong Song +3
Video object segmentation (VOS) is an essential part of autonomous vehicle navigation. The real-time speed is very important for the autonomous vehicle algorithms along with the ac…
Effective multi-view registration of point sets based on student's t mixture model
Yanlin Ma, Jihua Zhu, Zhongyu Li +2
Recently, Expectation-maximization (EM) algorithm has been introduced as an effective means to solve multi-view registration problem. Most of the previous methods assume that each…
Visual Space Optimization for Zero-shot Learning
Xinsheng Wang, Shanmin Pang, Jihua Zhu +3
Zero-shot learning, which aims to recognize new categories that are not included in the training set, has gained popularity owing to its potential ability in the real-word applicat…
Multi-view Point Cloud Registration with Adaptive Convergence Threshold and its Application on 3D Model Retrieval
Yaochen Li, Ying Liu, Rui Sun +3
Multi-view point cloud registration is a hot topic in the communities of multimedia technology and artificial intelligence (AI). In this paper, we propose a framework to reconstruc…
Spatio-Temporal Road Scene Reconstruction using Superpixel Markov Random Field
Yaochen Li, Yuehu Liu, Jihua Zhu +3
Scene model construction based on image rendering is an indispensable but challenging technique in computer vision and intelligent transportation systems. In this paper, we propose…
Adaptive Co-weighting Deep Convolutional Features For Object Retrieval
Jiaxing Wang, Jihua Zhu, Shanmin Pang +3
Aggregating deep convolutional features into a global image vector has attracted sustained attention in image retrieval. In this paper, we propose an efficient unsupervised aggrega…
Multi-view Registration Based on Weighted Low Rank and Sparse Matrix Decomposition of Motions
Congcong Jin, Jihua Zhu, Yaochen Li +3
Recently, the low rank and sparse (LRS) matrix decomposition has been introduced as an effective mean to solve the multi-view registration. It views each available relative motion…
Simultaneous merging multiple grid maps using the robust motion averaging
Zutao Jiang, Jihua Zhu, Yaochen Li +2
Mapping in the GPS-denied environment is an important and challenging task in the field of robotics. In the large environment, mapping can be significantly accelerated by multiple…
An Effective Approach for Point Clouds Registration Based on the Hard and Soft Assignments
Congcong Jin, Jihua Zhu, Yaochen Li +3
For the registration of partially overlapping point clouds, this paper proposes an effective approach based on both the hard and soft assignments. Given two initially posed clouds,…
Effective scaling registration approach by imposing the emphasis on the scale factor
Minmin Xu, Siyu Xu, Jihua Zhu +3
This paper proposes an effective approach for the scaling registration of -D point sets. Different from the rigid transformation, the scaling registration can not be formulated…
Weighted Motion Averaging for the Registration of Multi-View Range Scans
Rui Guo, Jihua Zhu, Yaochen Li +3
Multi-view registration is a fundamental but challenging problem in 3D reconstruction and robot vision. Although the original motion averaging algorithm has been introduced as an e…