111 citations · 258 across the 5 of their papers we have counts for
5 papers
Combinational Q-Learning for Dou Di Zhu
Yang You, Liangwei Li, Baisong Guo +2
Deep reinforcement learning (DRL) has gained a lot of attention in recent years, and has been proven to be able to play Atari games and Go at or above human levels. However, those…
CrowdPose: Efficient Crowded Scenes Pose Estimation and A New Benchmark
Jiefeng Li, Can Wang, Hao Zhu +3
Multi-person pose estimation is fundamental to many computer vision tasks and has made significant progress in recent years. However, few previous methods explored the problem of p…
DenseFusion: 6D Object Pose Estimation by Iterative Dense Fusion
Chen Wang, Danfei Xu, Yuke Zhu +4
A key technical challenge in performing 6D object pose estimation from RGB-D image is to fully leverage the two complementary data sources. Prior works either extract information f…
Beyond Holistic Object Recognition: Enriching Image Understanding with Part States
Cewu Lu, Hao Su, Yongyi Lu +3
Important high-level vision tasks such as human-object interaction, image captioning and robotic manipulation require rich semantic descriptions of objects at part level. Based upo…
Visual Relationship Detection with Language Priors
Cewu Lu, Ranjay Krishna, Michael Bernstein +1
Visual relationships capture a wide variety of interactions between pairs of objects in images (e.g. "man riding bicycle" and "man pushing bicycle"). Consequently, the set of possi…