Prof. Corso moved to the Electrical Engineering and Computer Science department at the University of Michigan in the 8/2014. He continues his work and research group in high-level computer vision at the intersection of perception, semantics/language, and robotics. Unless you are looking for something specific, historically, here, you probably would rather go to his new page.
Jason J. Corso
Research Pages
Snippets by Topic
* Active Clustering
* Activity Recognition
* Medical Imaging
* Metric Learning
* Semantic Segmentation
* Video Segmentation
* Video Understanding
Selected Project Pages
* Action Bank
* LIBSVX: Supervoxel Library and Evaluation
* Brain Tumor Segmentation
* CAREER: Generalized Image Understanding
* Summer of Code 2010: The Visual Noun
* ACE: Active Clustering
* ISTARE: Intelligent Spatiotemporal Activity Reasoning Engine
* GBS: Guidance by Semantics
* Semantic Video Summarization
Data Sets
* YouCook
* Chen
* UB/College Park Building Facades
Other Information
* Code/Data Downloads
* List of Grants
Code and Data Downloads

Links to code and data downloads are included with relevant project pages and publication entries. I include them here as well for one concise listing (but, some newer ones may yet be missing). A website and web-service for automatic conversion of videos to natural language sentences based on the video content. This website showcases our work in the vision+language domain. The website implements our various video to text methods.

YouCook data set: 88 challenging videos of various cooking (third-person viewpoint, different backgrounds, dynamic camera and person movement) with natural language annotations (about 8 per video) and object and action annotations. Includes a benchmark ROUGE scoring evaluation. The data set was published with our CVPR 2013 paper.

Hierarchy Agreement Index: implementation of our AAAI LBP 2013 cross-hierarchy evaluation tool for general use.

Random Forest Distance -- tree-structured metric learning that implicitly adapts the metric over the sample space based on our KDD 2012 paper. (Code updated 2/28/14)

Action Bank full code and processed data sets  [direct link to code]

LIBSVX: A Supervoxel Library and Benchmark for Early Video Processing. Implements a suite of supervoxel video segmentation methods as well as a quantitative set of 2D and 3D metrics for good supervoxels.

Graph-Shifts Code (Java) and example data.

Video label propagation code and benchmark data set.

UB/College Park stereo building facade dataset. [more information].

last updated: Tue Jul 29 10:11:57 2014; copyright jcorso