Papers

A Segmental and Spatiotemporal Approach to Recognizing Fine-grained Action Sequences Colin Lea, Austin Reiter, Rene Vidal, Greg Hager In review (email for preprint)

Learning Convolutional Action Primitives from Multimodal Timeseries Data Colin Lea, Rene Vidal, Greg Hager In review (email for preprint)

Transition State Clustering: Unsupervised Surgical Trajectory Segmentation For Robot Learning Sanjay Krishnan, Animesh Garg, Sachin Patil, Colin Lea, Greg Hager, Pieter Abbeel, Ken Goldberg ISRR 2015

A Framework for End-User Instruction of a Robot Assistant for Manufacturing Kelleher Guerin, Colin Lea, Chris Paxton, Greg Hager ICRA 2015

An Improved Model for Segmentation and Recognition of Fine Grained Activities with Application to Surgical Training Tasks Colin Lea, Greg Hager, Rene Vidal WACV 2015

Using Vision to Improve Activity Recognition for Surgical Training Tasks Colin Lea, Greg Hager, Rene Vidal IROS Workshop on The Role of Human Sensorimotor Control in Surgical Robotics 2014

3D Sensing Algorithms Towards Building an Intelligent Intensive Care Unit Colin Lea, James Fackler, Greg Hager, Russell Taylor and Suchi Saria AMIA Clinical Research Informatics 2013

Towards Automated Activity Recognition in an Intensive Care Unit Colin Lea, James Fackler, Greg Hager and Russ Taylor MICCAI 2012: Workshop on Modeling and Monitoring of Computer Assisted Interventions (M2CAI)

Comparative evaluation of range sensing technologies for underground void modeling Uland Wong, Aaron Morris, Colin Lea, James Lee, Chuck Whittaker, Ben Garney, and Red Whittaker IROS 2011

Videos

CoSTAR: Collaborative System for Task Automation and Recognition Kelleher Guerin, Colin Lea, Chris Paxton, Greg Hager AAAI Video Competition 2015

Technical Reports

Efficient Hierarchical Markov Random Fields for Object Detection on a Mobile Robot (2011) Colin Lea and Jason Corso

Object Detection and Pose Estimation Using SIFT and MROL (2011) Colin Lea, Kevin Yam, Dan Molik, Lai Lee Senior Design Project

Big Blue: An Entry into the Intelligent Ground Vehicle Competition [2011] [2010] [2009] UB Robotics Club

Mapping and Remote Operation of the Lego Mindstorms NXT Platform. Colin Lea and Venkat Krovi January 2009

Posters

Object Recognition and Pose Estimation using SIFT and MROL Techniques Colin Lea, Julian Ryde, Nick Hillier, Jason Corso IROS 2011: Solutions in Perception Challenge

Image-based, Geometric Sensing of Unstructured Environments Colin Lea, Uland Wong, Red Whittaker Carnegie Mellon Summer Scholars, August 2010

Haptics-Augmented User Interaction Colin Lea, Venkat Krovi University at Buffalo Celebration of Academic Excellence, April 2010

Design of an Unmanned Ground Vehicle UB Robotics Club University at Buffalo Celebration of Academic Excellence, April 2009

Journal Club Presentations

Summer 2014 Hidden Part Models for Human Action Recognition: Probabilistic vs. Max-Margin. Y Wang, G Mori. PAMI 2011. From Stochastic Grammar to Bayes Network: Probabilistic Parsing of Complex Activity. N Vo, A Bobick. CVPR 2014. Hidden Semi-Markov Models K Murphy. 2002.

Spring 2013 Mining Actonlet Ensemble for Acton Recogniton with Depth Cameras. J Wang, Z Liu, Y Wu, J Yuan. CVPR 2012. Nonparametric Discovery of Activity Patterns from Video Collections. M Hughes, E Sudderth. CVPR 2012. Learning Human Actvites and Object Affordances from RGB-D Videos. H Koppula, R Gupta, A Saxena. IJRR 2013. Hallucinating Humans as the Hidden Context for Labeling 3D Scenes. Y Jian, H Koppula, A Saxena. CVPR 2013.

Fall 2012 A User-Centered and Workflow-Aware Unified Display for the Operating Room. R Stauder, V Belagiannis, L Schwarz, A Bigdelou, E Sohngen, S Ilic, N Navav. MICCAI: M2CAI Workshop 2012.

Spring 2012 Real-time Identification and Localization of Body Parts from Depth Images. C Plagemann, V Ganapathi, D Koller, S Thrun. ICRA 2010.