Rather than embodying the behaviour of toolkit components directly in their implementation, metalevel techniques provide programmers with ways to override and revise them. The style of very flexible design is derived from specialisable generic models of application behaviour. This paper presents a generic model of distribution and synchrony in cooperative systems. Organised around the explicit management of divergence between parallel streams of activity, it links usage and implementation issues, as well as supporting an important class of applications which are not well supported by more traditional CSCW models. Examples are given showing this model as a basis for flexible design.
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A Divergence-Based Model of Synchrony and Distribution in Collaborative Systems
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| Paul Dourish |
| Xerox Technical Report EPC-1994-102 |
VISION
The research we conduct on expressive visual representations is applicable to visual search, object detection, image classification and the automatic extraction of 3D human poses and shapes that can be used for human behavior understanding and prediction, human-robot interaction or even avatar animation. We also extract 3D information from images that can be used for intelligent robot navigation, augmented reality and the 3D reconstruction of objects, buildings or even entire cities.
Our work covers the spectrum from unsupervised to supervised approaches, and from very deep architectures to very compact ones. We’re excited about the promise of big data to bring big performance gains to our algorithms but also passionate about the challenge of working in data-scarce and low-power scenarios.
Furthermore, we believe that a modern computer vision system needs to be able to continuously adapt itself to its environment and to improve itself via lifelong learning. Our driving goal is to use our research to deliver embodied intelligence to our users in robotics, autonomous driving, via phone cameras and any other visual means to reach people wherever they may be.
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