54 citations · 222 across the 22 of their papers we have counts for
4 papers · 1 filter
Efficient Robotic Task Generalization Using Deep Model Fusion Reinforcement Learning
Tianying Wang, Hao Zhang, Wei Qi Toh +5
Learning-based methods have been used to pro-gram robotic tasks in recent years. However, extensive training is usually required not only for the initial task learning but also for…
6D Pose Estimation with Correlation Fusion
Yi Cheng, Hongyuan Zhu, Ying Sun +6
6D object pose estimation is widely applied in robotic tasks such as grasping and manipulation. Prior methods using RGB-only images are vulnerable to heavy occlusion and poor illum…
Clustering with Similarity Preserving
Zhao Kang, Honghui Xu, Boyu Wang +2
Graph-based clustering has shown promising performance in many tasks. A key step of graph-based approach is the similarity graph construction. In general, learning graph in kernel…
Scene Text Synthesis for Efficient and Effective Deep Network Training
Changgong Zhang, Fangneng Zhan, Hongyuan Zhu +1
A large amount of annotated training images is critical for training accurate and robust deep network models but the collection of a large amount of annotated training images is of…