Submissions from 2009
An Empirical Study of Context in Object Detection, Santosh K. Divvala, Derek Hoiem, James H. Hays, Alexei Efros, and Martial Hebert
GATMO: A Generalized Approach to Tracking Movable Objects, Garratt Gallagher, Siddhartha Srinivasa, J. Andrew Bagnell, and Dave Ferguson
Image Matching in Large Scale Indoor Environment, Hongwan Kang, Alexei Efros, Martial Hebert, and Takeo Kanade
Geometric Reasoning for Single Image Structure Recovery, David C. Lee, Martial Hebert, and Takeo Kanade
Unsupervised Learning for Graph Matching, Marius Leordeanu and Martial Hebert
Improving Child Literacy in Africa: Experiments with an Automated Reading Tour, G. Ayorkor Mills-Tettey, Jack Mostow, M. Bernardine Dias, Tracy Morrison Sweet, Sarah M. Belousov, M. Frederick Dias, and Haijun Gong
Contextual Classification with Functional Max-Margin Markov Networks, Daniel Munoz, J. Andrew Bagnell, Nicolas Vandapel, and Martial Hebert
Onboard Contextual Classification of 3-D Point Clouds with Learned High-order Markov Random Fields, Daniel Munoz, Nicolas Vandapel, and Martial Hebert
Inverse Optimal Heuristic Control for Imitation Learning, Nathan Ratliff, Brian Ziebart, Kevin Peterson, J. Andrew Bagnell, Martial Hebert, Anind K. Dey, and Siddhartha Srinivasa
CHOMP: Gradient Optimization Techniques for Efficient Motion Planning, Nathan Ratliff, Matt Zucker, J. Andrew Bagnell, and Siddhartha Srinivasa
Anytime Online Novelty Detection for Vehicle Safeguarding, Boris Sofman, J. Andrew Bagnell, and Anthony Stentz
Temporal Segmentation and Activity Classification from First-person Sensing, Ekaterina H. Spriggs, Fernando De La Torre, and Martial Hebert
Estimating Object Region from Local Contour Configuration, Tetsuaki Suzuki and Martial Hebert
Planning-based Prediction for Pedestrians, Brian Ziebart, Nathan Ratliff, Garratt Gallagher, Kevin Peterson, J. Andrew Bagnell, Martial Hebert, Anind K. Dey, and Siddhartha Srinivasa
Submissions from 2008
Learning Robot Motion Control with Demonstration and Advice-Operators, Brenna D. Argall, Brett Browning, and Manuela M. Veloso
Traffic Interaction in the Urban Challenge: Putting Boss on its Best Behavior, Christopher R. Baker and John M. Dolan
Robust Mission Execution for Autonomous Urban Driving, Christopher R. Baker, David I. Ferguson, and John M. Dolan
Statistics of 3D Object Locations in Images, Rafael Baur, Alexei Efros, and Martial Hebert
Differential Sparse Coding, David M. Bradley and J. Andrew Bagnell
Guide to the Carnegie Mellon University Multimodal Activity (CMU-MMAC) Database, Fernando De la Torre, Jessica Hodgins, Adam Bargteil, Xavier Martin, Justin Macey, Alex Collado, and Pep Beltran
Parameterized Kernel Principal Component Analysis: Theory and Applications to Supervised and Unsupervised Image Alignment, Fernando De la Torre and Minh Hoai Nguyen
Sliding Autonomy for Peer-To-Peer Human-Robot Teams, M. Bernardine Dias, Balajee Kannan, Brett Browning, Gil Jones, Brenna Argall, M. Freddie Dias, Marc Zinck, Manuela M. Veloso, and Anthony Stentz
Can Similar Scenes help Surface Layout Estimation?, Santosh K. Divvala, Alexei Efros, and Martial Hebert
The Telesupervised Adaptive Ocean Sensor Fleet (TAOSF) Architecture: Coordination of Multiple Oceanic Robot Boats, Alberto Elfes, Gregg W. Podnar, John M. Dolan, Stephen Stancliff, Ellie Lin, Jeffrey C. Hosler, Troy J. Ames, John Higinbatham, John R. Moisan, Tiffany A. Moisan, and Eric Kulczycki
A Reasoning Framework for Autonomous Urban Driving, Dave Ferguson, Christoper Baker, Maxim Lickachev, and John Dolan
FCS UGV Safe Operations, Scott Fish, Joshua Ruedin, Mike Perschbacher, and John Bares
IM2GPS: Estimating Geographic Information From a Single Image, James Hays and Alexei A. Efros
Closing the Loop in Scene Interpretation, Derek Hoiem, Alexei Efros, and Martial Hebert
Putting Objects in Perspective, Derek Hoiem, Alexei Efros, and Martial Hebert
Unsupervised Modeling and Recognition of Object Categories with Combination of Visual Contents and Geometric Similarity Links, Gunhee Kim, Christos Faloutsos, and Martial Hebert
Unsupervised Modeling of Object Categories Using Link Analysis Techniques, Gunhee Kim, Christos Faloutsos, and Martial Hebert
Segmentation of Salient Regions in Outdoor Scenes Using Imagery and 3-D Data, Gunhee Kim, Daniel Huber, and Martial Hebert
Camera Parameters Estimation from Hand-labelled Sun Sositions in Image Sequences, Jean-Francois Lalonde, Srinivasa G. Narasimhan, and Alexei A. Efros
What Does the Sky Tell Us About the Camera?, Jean-Francois Lalonde, Srinivasa G. Narasimhan, and Alexei A. Efros
Pairwise Grouping Using Color, Marius Leordeanu and Martial Hebert
Smoothing-based Optimization, Marius Leordeanu and Martial Hebert
Adaptive Multi-Robot Wide-Area Exploration and Mapping, Kian Hsiang Low, John Dolan, and Pradeep Khosla
Sensory Adaptation in Human Balance Control: Lessons for Biomimetic Robotic Bipeds, Arash Mahboobin, Patrick J. Loughlin, Mark S. Redfern, Stuart O. Anderson, Christopher G. Atkeson, and Jessica K. Hodgins
Learning Outbreak Regions in Bayesian Spatial Scan Statistics, Maxim Makatchev and Daniel B. Neill
Recognition by Association via Learning Per-exemplar Distances, Tomasz Malisiewicz and Alexei A. Efros
Fast Motion Consistency through Matrix Quantization, Pyry Matikainen, Rahul Sukthankar, Martial Hebert, and Yan Ke
Continuous-Field Path Planning with Constrained Path-Dependent State Variables, G. Ayorkor Mills-Tettey, Anthony Stentz, and M. Bernardine Dias
Directional Associative Markov Network for 3-D Point Cloud Classification, Daniel Munoz, Nicolas Vandapel, and Martial Hebert
LADAR-based Pedestrian Detection and Tracking, Luis E. Navarro-Serment, Christoph Mertz, Nicolas Vandapel, and Martial Hebert
Learning Image Alignment without Local Minima for Face Detection and Tracking, Minh Hoai Nguyen and Fernando De la Torre
Local Minima Free Parameterized Appearance Models, Minh Hoai Nguyen and Fernando De la Torre
Robust Kernel Principal Component Analysis, Minh Hoai Nguyen and Fernando De la Torre
Image-Based Shaving, Minh Hoai Nguyen, Jean-Francois Lalonde, Alexei A. Efros, and Fernando De la Torre
Facial Feature Detection with Optimal Pixel Reduction SVM, Minh Hoai Nguyen, Joan Perez, and Fernando De la Torre
Networked Architecture for Robotic Environmental Ocean Science Sensors, Gregg Podnar, John Dolan, and Alberto Elfes
Multi-Level Autonomy Robot Telesupervision, Gregg Podnar, John Dolan, Alberto Elfes, and Marcel Bergerman
Operation of Robotic Science Boats Using the Telesupervised Adaptive Ocean Sensor Fleet System, Gregg W. Podnar, John M. Dolan, Alberto Elfes, Stephen Stancliff, Ellie Lin, Jeffrey C. Hosler, Troy J. Ames, John Moisan, Tiffany A. Moisan, John Higinbotham, and Eric K. Kulczycki
High Performance Outdoor Navigation from Overhead Data Using Imitation Learning, David Silver, J. Andrew Bagnell, and Andrew Stentz
Towards Unsupervised Whole-Object Segmentation: Combining Automated Matting with Boundary Detection, Andrew N. Stein, Thomas S. Stepleton, and Martial Hebert
Multi-scale Interest Regions from Unorganized Point Clouds, Ranjith Unnikrishnan and Martial Hebert
Aligned Cluster Analysis for Temporal Segmentation of Human Motion, Feng Zhou, Fernando De la Torre, and Jessica K. Hodgins
Fast Planning for Dynamic Preferences, Brian D. Ziebart, Anind K. Dey, and J. Andrew Bagnell
Maximum Entropy Inverse Reinforcement Learning, Brian D. Ziebart, Andrew Maas, J. Andrew Bagnell, and Anind K. Dey
Navigate Like A Cabbie: Probablistic Reasoning from Observed Context-Aware Behavior, Brian D. Ziebart, Andrew L. Maas, Anind K. Dey, and J. Andrew Bagnell
Adaptive Workspace Biasing for Sampling Based Planners, Matt Zucker, James Kuffner, and J. Andrew Bagnell
Submissions from 2007
Learning by Demonstration with Critique from a Human Teacher, Brenna Argall, Brett Browning, and Manuela M. Veloso
Learning to Select State Machines Using Expert Advice on an Autonomous Robot, Brenna Argall, Brett Browning, and Manuela M. Veloso
Multiple Balance Strategies From One Optimization Criterion, Christopher G. Atkeson and Benjamin Stephens
Compliant Control of a Hydraulic Humanoid Joint, Darrin C. Bentivegna, Christopher G. Atkeson, and Jung Yup Kim
Vegetation Detection for Driving in Complex Environments, David M. Bradley, Ranjith Unnikrishnan, and James Bagnell
Indoor People Tracking Based on Dynamic Weighted MultiDimensional Scaling, Jose Maria Cabero, Fernando De la Torre, Aritz Sanchez, and Inigo Aziaga
Multimodal Diaries, Fernando De la Torre and Carlos Agell
Filtered Component Analysis to Increase Robustness to Locla Minima in Appearance Models, Fernando De la Torre, Alvaro Collet, Manuel Quero, Jeffery F. Cohn, and Takeo Kanade
Laerning Kernel Expansions for Image Classification, Fernando De la Torre and Oriol Vinyals
The Telesupervised Adaptive Ocean Sensor Fleet, John M. Dias, Alberto Elfes, Gregg Podnar, Scott Stancliff, Ellie Lin, Jeffrey C. Hosler, Troy J. Ames, John Moisan, Tiffany A. Moisan, John Higinbotham, and Eric A. Kulczycki
Harmful Algal Bloom Characterization Via the Telesupervised Adaptive Ocean Sensor Fleet, John M. Dolan, Gregg Podnar, Stephen Stancliff, Ellie Lin, J. Hosler, T. Ames, J. Moisan, T. Moisan, J Higinbotham, and A. Elfes
Creating Low-Cost Soil Maps for Tropical Agriculture Using Gaussian Processes, Juan Pablo Gonzalez, Simon Cook, Thomas Oberthur, Andrew Jarvis, J. Andrew Bagnell, and M. Bernardine Dias
Bilinear Active Appearance Models, Jose Gonzalez-Mora, Fernando De la Torre, Rajesh Murthi, Nicolas Guil, and Emilio L. Zapata
Potential Negative Obstacle Detection by Occlusion Labeling, Nicholas Heckman, Jean-Francois Lalonde, Nicolas Vandapel, and Martial Hebert
Recovering Occlusion Boundaries from a Single Image, Derek Hoiem, Andrew N. Stein, Alexei A. Efros, and Martial Hebert
Iterative Design of A Braille Writing Tutor to Combat Illiteracy, Nidhi Kalra, T. Lauwers, D. Dewey, T. Stapleton, and M. Bernardine Dias
A Braille Writing Tutor to Combat Illiteracy in Developing Communities, Nidhi Kalra, Tom Lauwers, and M. Bernardine Dias
Event Detection in Crowded Videos, Yan Ke, Rahul Sukthankar, and Martial Hebert
Spatio-temporal Shape and Flow Correlation for Action Recognition, Yan Ke, Rahul Sukthankar, and Martial Hebert
Online Gain Switching Algorithm for Joint Position Control of a Hydraulic Humanoid Robot, Jung Yup Kim, Christopher G. Atkeson, Jessica K. Hodgins, Darrin C. Bentivegna, and Sung Ju Cho
Using Color Compatibility for Assessing Image Realism, Jean-Francois Lalonde and Alexei A. Efros
Photo Clip Art, Jean-Francois Lalonde, Derek Hoiem, Alexei A. Efros, Carsten Rother, John Winn, and Antonio Criminisi
Data Structures for Efficient Dynamic Processing in 3-D, Jean-Francois Lalonde, Nicolas Vandapel, and Martial Hebert
Beyond Local Appearance: Category Recognition from Pairwise Interactions of Simple Features, Marius Leordeanu, Martial Hebert, and Rahul Sukthankar
Adaptive Sampling for Multi-Robot Wide-Area Exploration, Kian Hsiang Low, Geoffrey Gordon, John M. Dolan, and Pradeep Khosla
Combining Bayesian Networks and Formal Reasoning for Semantic Classification of Student Utterances, Maxim Makatchev and Kurt VanLahn
Improving Spatial Support for Objects via Multiple Segmentations, Tomasz Malisiewicz and Alexei A. Efros
Teaching Technical Creativity Through Robotics: A Case Study in Ghana, G. Ayorkor Mills-Tettey, M. Bernardine Dias, Brett Browning, and Nathan Amanquah
DD* Lite: Efficient Incremental Search with State Dominance, G. Ayorkor Mills-Tettey, Anthony Stentz, and M. Bernardine Dias
The Dynamic Hungarian Algorithm for the Assignment Problem with Changing Costs, G. Ayorkor Mills-Tettey, Anthony Stentz, and M. Bernardine Dias
A Framework for Learning to Recognize and Segment Object Classes Using Weakly Supervised Training Data, Caroline Pantofaru and Martial Hebert
Human Telesupervision of Very Heterogeneous Planetary Robot Teams, Gregg Podnar, John Dolan, Alberto Elfes, and Marcel Bergerman
Boosting Structured Prediction for Imitation Learning, Nathan Ratliff, David Bradley, J. Andrew Bagnell, and Joel Chestnutt
Kernel Conjugate Gradient for Fast Kernel Machines, Nathan D. Ratliff and J. Andrew Bagnell
Imitation Learning for Locomotion and Manipulation, Nathan D. Ratliff, J. Andrew Bagnell, and Siddhartha S. Srinivasa
(Online) Subgradient Methods for Structured Prediction, Nathan D. Ratliff, J. Andrew Bagnell, and Martin A. Zinkevich
Context Identification for Efficient Multiple-Model State Estimation, Sarjoun Skaff, Alfred A. Rizzi, and Howie Choset
Planning to Fail - Reliability as a Design Parameter for Planetary Rover Missions, S. Stancliff, John Dolan, and A. Trebi-Ollennu
Combining Local Appearance and Motion Cues for Occlusion Boundary Detection, Andrew Stein and Martial Hebert
Learning to Find Object Boundaries Using Motion Cues, Andrew Stein, Derek Hoiem, and Martial Hebert