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Beauty and the Beast: Optimal Methods Meet Learning for Drone Racing

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Beauty and the Beast: Optimal Methods Meet Learning for Drone Racing

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Efficient Depth-based Deep Learning Methods for Multi-Party Pose Estimation

Deep Learning Approaches for Auditory Perception in Robotics

Disentangling feature and lazy training in deep neural networks

Crowding and the Architecture of the Visual System

STC-GAN: Spatio-Temporally Coupled Generative Adversarial Networks for Predictive Scene Parsing

On Vacuous and Non-Vacuous Generalization Bounds for Deep Neural Networks.

Mixed-Precision Deep Learning Based on Computational Memory

Efficient Proximal Mapping of the 1-path-norm of Shallow Networks

Evaluating and Interpreting Deep Convolutional Neural Networks via Non-negative Matrix Factorization

Deep Semantic Segmentation Using Nir As Extra Physical Information