Self-supervised Dense Representation Learning for Live-Cell Microscopy with Time Arrow Prediction
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The recent advances in wearable inertial sensors opened a new horizon for pervasive measurement of human locomotion even in aquatic environment. In this paper we proposed an automatic approach of detecting the key temporal events of breaststroke swimming a ...
The recent advances in wearable inertial sensors opened a new horizon for pervasive measurement of human locomotion even in aquatic environment. In this paper we proposed an automatic approach of detecting the key temporal events of breaststroke swimming a ...
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This paper addresses the problem of automatically predicting the dominant clique (i.e., the set of K-dominant people) in face-to-face small group meetings recorded by multiple audio and video sensors. For this goal, we present a framework that integrates a ...
Effective Tissue engineering ultimately depends on understanding the interplay between the proliferation and differentiation stages of development. One of the best systems to examine these processes is myogenesis. Activated myoblasts first undergo many rou ...
This paper addresses the novel problem of automatically predicting the dominant clique (i.e., the set of K-dominant people) in face-to-face small group meetings recorded by multiple audio and video sensors. For this goal, we present a framework that integr ...
Effective Tissue engineering ultimately depends on understanding the interplay between the proliferation and differentiation stages of development. One of the best systems to examine these processes is myogenesis. Activated myoblasts first undergo many rou ...