Welcome to UA Computer Vision and Machine Learning Lab
The Computer Vision and Machine Learning Laboratory is a multi-departmental research group at the College of Engineering and Applied Sciences, University at Albany, State University of New York, affiliated with the Computer Science Department, and the Electronic and Computer Engineering Department. We are interested in the mathematical foundations and algorithmic development of machine learning algorithms with a targeted application to the analysis of visual imagery (images and videos). Funding for the lab has been provided by the National Science Foundation (NSF), the Defense Advance Program Research Agency (DARPA), and the National Institute of Justice (NIJ), and generous donations from NVidia Inc.
News
- (04/02/2018) Lipeng's pose estimation work is ranked #1 on the very challenging MPII benchmark.
A video demonstration of Lipeng's pose estimation results. Congratulations Lipeng!
-
(09/06/207) Yanbo Fan's paper on Average Top-K Learning is accepted by NIPS 2017. Congratulations Yanbo!
-
(08/17/2017) A team from CVML (Yi Wei, Nenghui Song and Lipeng Ke) led by Prof. Chang and Lyu has won an honorary mention for the AI City Challenge. Well done, Yi, Nenghui and Lipeng! [CEAS News report]
(CVML AI City team from left: Nenghui, Prof. Lyu, Prof. Chang, Yi -- Lipeng is not present in the photo)
- (07/29/2017) CVML co-organizes and participates the IEEE/Nvidia AI City Challenge with the IEEE Smart City Conference 2017.
- (07/19/2017) Wenbo Li's paper on using RNN-Tree for Skeleton-based Action Recognition is accepted by ICCV 2017. Congratulations Wenbo!
- (07/17/2017) CVML hosts the 2017 AVSS Challenge on Advance Traffic Monitoring, and co-organize the International Workshop on Traffic and Street Surveillance and Safety (IWT4S), in conjunction with the 2017 IEEE Conference on Advances in Video and Signal-based Survillance (AVSS).