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ICRA
2010
IEEE
170views Robotics» more  ICRA 2010»
15 years 1 months ago
Superhuman performance of surgical tasks by robots using iterative learning from human-guided demonstrations
In the future, robotic surgical assistants may assist surgeons by performing specific subtasks such as retraction and suturing to reduce surgeon tedium and reduce the duration of s...
Jur van den Berg, Stephen Miller, Daniel Duckworth...
CVPR
2011
IEEE
14 years 7 months ago
Learning People Detection Models from Few Training Samples
People detection is an important task for a wide range of applications in computer vision. State-of-the-art methods learn appearance based models requiring tedious collection and ...
Leonid Pishchulin, Christian Wojek, Arjun Jain, Th...
CHI
2000
ACM
15 years 7 months ago
Alice: lessons learned from building a 3D system for novices
We present lessons learned from developing Alice, a 3D graphics programming environment designed for undergraduates with no 3D graphics or programming experience. Alice is a Windo...
Matthew Conway, Steve Audia, Tommy Burnette, Denni...
DICTA
2003
15 years 4 months ago
Learning Semantic Concepts from Visual Data Using Neural Networks
For content-based image retrieval techniques, query image is used to pick up and rank some relevant images from a database using some certain similarity metric. If semantic feature...
Xiaohang Ma, Dianhui Wang
154
Voted
BMVC
2010
15 years 1 months ago
Back to the Future: Learning Shape Models from 3D CAD Data
Recognizing 3D objects from arbitrary view points is one of the most fundamental problems in computer vision. A major challenge lies in the transition between the 3D geometry of o...
Michael Stark, Michael Goesele, Bernt Schiele