activity
20172026
most citedSimultaneous merging multiple grid maps using the robust motion averaging

20 citations · 39 across the 12 of their papers we have counts for

collaborators

13 papers

cs.CV2026

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…

cs.CV2022★ 3 cited

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…

cs.CV2021★ 7 cited

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…

cs.CV2020

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…

cs.CV2019★ 7 cited

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…

cs.CV2018

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…