Jay Ming Wong

Publication Activity (10 Years)

Years Active: 2015-2017
Publications (10 Years): 7

Top Topics

Scene Reconstruction

Structure Learning

Markov Logic Networks

Top Venues

Publications

Jay Ming Wong, Syler Wagner, Richard Connor Lawson, Vincent Kee, Mitchell Hebert, Justin Rooney, Gian Luca Mariottini, Rebecca L. Russell, Abraham Schneider, Rahul Chipalkatty, David M. S. Johnson
SegICP-DSR: Dense Semantic Scene Reconstruction and Registration. CoRR (2017)
Jay Ming Wong, Vincent Kee, Tiffany Le, Syler Wagner, Gian Luca Mariottini, Abraham Schneider, Lei Hamilton, Rahul Chipalkatty, Mitchell Hebert, David M. S. Johnson, Jimmy Wu, Bolei Zhou, Antonio Torralba
SegICP: Integrated deep semantic segmentation and pose estimation. IROS (2017)
Jay Ming Wong, Vincent Kee, Tiffany Le, Syler Wagner, Gian Luca Mariottini, Abraham Schneider, Lei Hamilton, Rahul Chipalkatty, Mitchell Hebert, David M. S. Johnson, Jimmy Wu, Bolei Zhou, Antonio Torralba
SegICP: Integrated Deep Semantic Segmentation and Pose Estimation. CoRR (2017)
Jay Ming Wong, Roderic A. Grupen
Intrinsically Motivated Multimodal Structure Learning. CoRR (2016)
Dirk Ruiken, Jay Ming Wong, Tiffany Q. Liu, Mitchell Hebert, Takeshi Takahashi, Michael William Lanighan, Roderic A. Grupen
Affordance-based Active Belief: Recognition using visual and manual actions. IROS (2016)
Jay Ming Wong, Roderic A. Grupen
Intrinsically motivated multimodal structure learning. ICDL-EPIROB (2016)
Mitchell Hebert, Jay Ming Wong, Roderic A. Grupen
Phase lag bounded velocity planning for high performance path tracking. Humanoids (2015)