13 citations · 17 across the 4 of their papers we have counts for
4 papers
Learning Tri-mode Grasping for Ambidextrous Robot Picking
Chenlin Zhou, Peng Wang, Wei Wei +3
Object picking in cluttered scenes is a widely investigated field of robot manipulation, however, ambidextrous robot picking is still an important and challenging issue. We found t…
GPR: Grasp Pose Refinement Network for Cluttered Scenes
Wei Wei, Yongkang Luo, Fuyu Li +4
Object grasping in cluttered scenes is a widely investigated field of robot manipulation. Most of the current works focus on estimating grasp pose from point clouds based on an eff…
Deep Domain Adaptive Object Detection: a Survey
Wanyi Li, Fuyu Li, Yongkang Luo +2
Deep learning (DL) based object detection has achieved great progress. These methods typically assume that large amount of labeled training data is available, and training and test…
Unsupervised Image-generation Enhanced Adaptation for Object Detection in Thermal images
Peng Liu, Fuyu Li, Wanyi Li
Object detection in thermal images is an important computer vision task and has many applications such as unmanned vehicles, robotics, surveillance and night vision. Deep learning…