Software

Stochastic Gradient Descent for multiclass linear classification

The Stochastic Gradient Descent package mentioned in Perronnin et al. CVPR 2012 is available here.

INRIA's Fisher implementation

Here is an implementation of Florent Perronnin's Fisher aggregation method for local descriptors.

Dense Trajectories Video Description

The code for dense trajectories in our CVPR'11 paper - can be found on the website of Heng Wang.

Metric Learning for verification and Multiple Instance Learning

Matthieu Guillaumin's LDML and MildML on his code page.

Lear's GIST implementation

This library is a C reimplementation of A. Torralba's GIST descriptor. It was used in our CIVR 2009 paper.

TagProp

The weighted nearest-neighbor model for multiple binary or multiclass classification that we successfully used it for image auto-annotation in our ICCV'09 paper is available here.

Spatio-Temporal Descriptor for Action Recognition (HOG3D)

The software for computing the spatio-temporal descriptor using gradient orientations and regular polyhedrons (or platonic solids) - as described in our BMVC'08 paper - can be found on the website of Alexander Kläser.

Trecvid example generator

This program generates example videos for the Trecvid copy detection task.

Groups of adjacent contour segments

Software for detecting Vitto's local shape features (see bottom of page).

Face Recognition

Xiaoyang Tan and Bill Triggs' MATLAB face normalization and descriptor code, as described in our AMFG'07 paper.

YORG

YORG, developed within the AceMedia project helps organizing photo collections.

Object Detection and Localization Toolkit

You may download the Navneet Dalal's object detection and localization toolkit from here.

Binaries and test images for Krystian Mikolajczyk's scaled and affine interest point detectors and various types of local image descriptors.

Gyuri Dorko's version of these detectors.

Texture Based Image Classification

Frank Moosmann's FRIMCLA Randomized forest based image classifier, as described in our ECCV'06 workshop and NIPS'06 papers.

Interest Point Detectors & Test Sequences

A joint comparison of affine covariant regions by LEAR, Oxford, Leuven and Prague (the test setup and the binaries are available)