👨 Code for "Large Pose 3D Face Reconstruction from a Single Image via Direct Volumetric CNN Regression"

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 …

Faster R-CNN

R-FCN: Object Detection via Region-based Fully Convolutional Networks

Piotr's Image & Video Matlab Toolbox

Highly comparative time-series analysis

RefineNet: Multi-Path Refinement Networks for High-Resolution Semantic Segmentation

Exclusively Dark (ExDARK) dataset which to the best of our knowledge, is the largest collection of low-light images taken in very low-light environments to twilight (i.e 10 different conditions) to…

NetVLAD: CNN architecture for weakly supervised place recognition

Project page of the paper "Learning Multi-Scale Photo Exposure Correction" (CVPR 2021).

[CVPR'17] Training a Correlation Filter end-to-end allows lightweight networks of 2 layers (600 kB) to high performance at fast speed..

Manopt, a Matlab toolbox for optimization on manifolds

Main repository for Deep Metric Learning via Lifted Structured Feature Embedding

Contains all my Matlab toolboxes.

The official homepage of the (outdated) COCO-Stuff 10K dataset.

Comparative Evaluation of Hand-Crafted and Learned Local Features

Multi Person Pose Estimation

VggML (ICPR 2018, Beijing)

Source code for "Understanding Deep Image Representations by Inverting Them", CVPR 2015

Hidden physics models: Machine learning of nonlinear partial differential equations

Code for ICML 2018 paper on "Fast and Scalable Bayesian Deep Learning by Weight-Perturbation in Adam" by Khan, Nielsen, Tangkaratt, Lin, Gal, and Srivastava

Code and mode for CVPR 2017 paper "L2-Net: Deep Learning of Discriminative Patch Descriptor in Euclidean Space"

J. Solomon, F. de Goes, G. Peyré, M. Cuturi, A. Butscher, A. Nguyen, T. Du, L. Guibas. Convolutional Wasserstein Distances: Efficient Optimal Transportation on Geometric Domains. ACM Transactions o…

Efficient Diffusion on Region Manifolds: Recovering Small Objects with Compact CNN Representations

Attend Refine Repeat: Active Box Proposal Generation via In-Out Localization

Cartesian k-means for approximate nearest neghbor search, codebook learning, etc.

Data and materials from the paper "Comparing deep neural networks against humans: object recognition when the signal gets weaker" (arXiv 2017)

Matlab mex implementation of the basic operations for 3D (volume) Convolutional Neural Network

Deep Mean-Shift Priors for Image Restoration