Matlab/Octave toolbox for deep learning. Includes Deep Belief Nets, Stacked Autoencoders, Convolutional Neural Nets, Convolutional Autoencoders and vanilla Neural Nets. Each method has examples to …

Code release for "Detect to Track and Track to Detect", ICCV 2017

Ensemble of Exemplar-SVMs for Object Detection and Beyond

Sparse Filtering

Adversarial Examples for Semantic Segmentation and Object Detection

Hamming Distance Metric Learning with Non-linear Projection

Reachability Analysis of Deep Neural Networks with Provable Guarantees

Score Matching Implementation for ICA

Code database for Fast Texform generation as proposed in the work of Deza, Chen, Long and Konkle (CCN 2019).