Abstract-- In this paper, we present TransDec, an end-toend data-driven system which enables spatiotemporal queries in transportation systems with dynamic, real-time and historical...
Ugur Demiryurek, Farnoush Banaei Kashani, Cyrus Sh...
Abstract. Developmental models simulate the spatio-temporal development of a complex system. The system described in this paper combines the advantages of a number of previously di...
Within the field of action recognition, features and descriptors are often engineered to be sparse and invariant to transformation. While sparsity makes the problem tractable, it ...
In this paper, we present a novel approach for automatically learning a compact and yet discriminative appearance-based human action model. A video sequence is represented by a ba...
Abstract. We address the problem of learning good features for understanding video data. We introduce a model that learns latent representations of image sequences from pairs of su...