22 citations · 50 across the 6 of their papers we have counts for
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3 papers · 1 filter
cs.CV2020
Learning Category-level Shape Saliency via Deep Implicit Surface Networks
Chaozheng Wu, Lin Sun, Xun Xu +1
This paper is motivated from a fundamental curiosity on what defines a category of object shapes. For example, we may have the common knowledge that a plane has wings, and a chair…
cs.CV2020★ 5 cited
Grasp Proposal Networks: An End-to-End Solution for Visual Learning of Robotic Grasps
Chaozheng Wu, Jian Chen, Qiaoyu Cao +4
Learning robotic grasps from visual observations is a promising yet challenging task. Recent research shows its great potential by preparing and learning from large-scale synthetic…
cs.CV2020★ 16 cited
HRDNet: High-resolution Detection Network for Small Objects
Ziming Liu, Guangyu Gao, Lin Sun +1
Small object detection is challenging because small objects do not contain detailed information and may even disappear in the deep network. Usually, feeding high-resolution images…