activity
20172023
most citedOpen-Set Object Detection Using Classification-free Object Proposal and Instance-level Contrastive Learning

25 citations · 87 across the 60 of their papers we have counts for

collaborators
Showing 2020Show all

18 papers · 1 filter

cs.CV2020

3D Point-to-Keypoint Voting Network for 6D Pose Estimation

Weitong Hua, Jiaxin Guo, Yue Wang +1

Object 6D pose estimation is an important research topic in the field of computer vision due to its wide application requirements and the challenges brought by complexity and chang…

cs.RO2020★ 5 cited

Learning World Transition Model for Socially Aware Robot Navigation

Yuxiang Cui, Haodong Zhang, Yue Wang +1

Moving in dynamic pedestrian environments is one of the important requirements for autonomous mobile robots. We present a model-based reinforcement learning approach for robots to…

cs.CV2020

CORAL: Colored structural representation for bi-modal place recognition

Yiyuan Pan, Xuecheng Xu, Weijie Li +3

Place recognition is indispensable for a drift-free localization system. Due to the variations of the environment, place recognition using single-modality has limitations. In this…

cs.RO2020★ 3 cited

Dynamic Movement Primitive based Motion Retargeting for Dual-Arm Sign Language Motions

Yuwei Liang, Weijie Li, Yue Wang +3

We aim to develop an efficient programming method for equipping service robots with the skill of performing sign language motions. This paper addresses the problem of transferring…

cs.RO2020★ 2 cited

Robust localization for planar moving robot in changing environment: A perspective on density of correspondence and depth

Yanmei Jiao, Lilu Liu, Bo Fu +4

Visual localization for planar moving robot is important to various indoor service robotic applications. To handle the textureless areas and frequent human activities in indoor env…

cs.CV2020★ 3 cited

PREGAN: Pose Randomization and Estimation for Weakly Paired Image Style Translation

Zexi Chen, Jiaxin Guo, Xuecheng Xu +3

Utilizing the trained model under different conditions without data annotation is attractive for robot applications. Towards this goal, one class of methods is to translate the ima…