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Stereo Confidence Estimation via Locally Adaptive Fusion and Knowledge Distillation

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Stereo Confidence Estimation via Locally Adaptive Fusion and Knowledge Distillation

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Geometry of adversarial robustness of deep networks: methods and applications

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A jamming transition from under- to over-parametrization affects generalization in deep learning

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Biologically plausible deep learning – but how far can we go with shallow networks?

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Visual Analysis of Maya Glyphs via Crowdsourcing and Deep Learning

Geometry of adversarial robustness of deep networks: methods and applications

SparseFool: a few pixels make a big difference

A jamming transition from under- to over-parametrization affects generalization in deep learning

Jamming transition as a paradigm to understand the loss landscape of deep neural networks

Unsupervised Geometry-Aware Representation Learning for 3D Human Pose Estimation

Geometric robustness of deep networks: analysis and improvement

The Robustness of Deep Networks - A geometric perspective