Recent accelerations in multi-modal applications have been made possible...
Self-supervised learning (SSL) enables learning useful inductive biases
...
We propose a novel framework for Alzheimer's disease (AD) detection usin...
Identifying oculomotor behaviors relevant for eye-tracking applications ...
We introduce a novel approach to generate diverse high fidelity texture ...
Training end-to-end networks for classifying gigapixel size histopatholo...
Traditional methods for image-based 3D face reconstruction and facial mo...
In genomic analysis, biomarker discovery, image recognition, and other
s...
We present DeepExpr, a novel expression transfer system from humans to
m...
In this paper, we introduce an end-to-end machine learning-based system ...
We introduce a light-weight, power efficient, and general purpose
convol...
In this paper, we introduce a conceptually simple network for generating...
We introduce a fast and efficient convolutional neural network, ESPNet, ...
We present an approach for identifying the most walkable direction for
n...
We trained and applied an encoder-decoder model to semantically segment
...