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Transformer Models for Vision

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Transformer Models for Vision

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Comparing human and machine performances in transcribing 18th century handwritten Venetian script

The committee machine: Computational to statistical gaps in learning a two-layers neural network

CONTEXT-AWARE ATTENTION MECHANISM FOR SPEECH EMOTION RECOGNITION

DroNet: Learning to Fly by Driving

Event-based Vision meets Deep Learning on Steering Prediction for Self-driving Cars

Real-time Convolutional Networks for Depth-based Human Pose Estimation

Multi-Modal Spectral Image Super-Resolution

DermoNet: Densely Linked Convolutional Neural Network for Efficient Skin Lesion Segmentation

Far-field ASR Using Low-rank and Sparse Soft Targets from Parallel Data

Learning to See through Reflections