Search Results for author:
Found 5 papers, 1 papers with code
SENSE: Semantically Enhanced Node Sequence Embedding
Effectively capturing graph node sequences in the form of vector embeddings is critical to many applications.
Actor Conditioned Attention Maps for Video Action Detection
While observing complex events with multiple actors, humans do not assess each actor separately, but infer from the context.
Object Localization and Size Estimation from RGB-D Images
However, the addition of a depth image can be further used to segment images that might otherwise have identical color information.
Modeling the Resource Requirements of Convolutional Neural Networks on Mobile Devices
In doing so Augur tackles several challenges: (i) how to overcome pro ling and measurement overhead; (ii) how to capture the variance in different mobile platforms with different processors, memory, and cache sizes; and (iii) how to account for the variance in the number, type and size of layers of the different CNN configurations.
Beyond Spatial Auto-Regressive Models: Predicting Housing Prices with Satellite Imagery
Spatial Auto-Regression (SAR) is a common tool used to model such data, where the spatial contiguity matrix (W) encodes the spatial correlations.
