2022
[64] Jiayi Zhao, "Multi-Sensor Deep Learning for Autonomous Population Monitoring of Marine Species", PhD thesis, University of Delaware, Newark, DE, 2022.
[63] Chunbo Song, Christopher Rasmussen, "Who Did It? Identifying Foul Subjects and Objects in Broadcast Soccer Videos", In International Conference on Computer Vision Theory and Applications, 2022.
2021
[62] Chunbo Song, "Towards Automatic Refereeing Systems Through Deep Event Detection in Soccer Game Videos", PhD thesis, University of Delaware, Newark, DE, 2021.
[61] Zhenzhu Zheng, Christopher Rasmussen, Xi Peng, "Student-Teacher Oneness: A Storage-Efficient approach that improves facial expression recognition", In Workshop on Human-Centric Trustworthy Computer Vision at ICCV, 2021.
2019
[60] Qiaosong Wang, "Manifold, Deep, and Adversarial Learning For Visual Object Detection", PhD thesis, University of Delaware, Newark, DE, 2019.
[59] Qiaosong Wang, Christopher Rasmussen, "3D Visual Object Detection from Monocular Images", In International Symposium on Visual Computing, 2019.
[58] Qiaosong Wang, Christopher Rasmussen, "Towards Fine-grained Recognition: Joint Learning for Object Detection and Fine-grained Classification", In International Symposium on Visual Computing, 2019.
[57] Chunbo Song, Christopher Rasmussen, "Multi-Camera Temporal Grouping for Play/Break Event Detection in Soccer Games", In International Symposium on Visual Computing, 2019.
[56] Hunter Tipton, Arthur Trembanis, Christopher Rasmussen, Danielle Ferraro, David Rudders, "Assessing the Performance of Deep Learning Strategies in Sea Scallop (Placopecten magellanicus) Survey Imagery Analysis", In International Pectinid Workshop, 2019.
2018
[55] Arthur Trembanis, Christopher Rasmussen, Danielle Ferraro, Jiayi Zhao, Nick Wilkinson, "From Deep Learning To Citizen Science- Developing And Implementing Strategies For Analyzing Large Imagery Datasets", In Machine Learning in Biological Oceanography at Ocean Sciences Meeting, 2018.
2017
[54] Christopher Rasmussen, Jiayi Zhao, Danielle Ferraro, Art Trembanis, "Deep Census: AUV-Based Scallop Population Monitoring", In Workshop on Visual Wildlife Monitoring at ICCV, 2017.
2016
[53] Qiaosong Wang, Christopher Rasmussen, Chunbo Song, "Fast, Deep Detection and Tracking of Birds and Nests", In International Symposium on Visual Computing, 2016.
2015
[52] Matt Zucker, Sungmoon Joo, Michael Grey, Christopher Rasmussen, Eric Huang, Mike Stilman, Aaron Bobick, "A general-purpose system for teleoperation of the DRC-HUBO humanoid robot", In Journal of Field Robotics, vol. 32, no. 3, 2015.
[51] Mehmet Kocamaz, Christopher Rasmussen, "Approaches for Automatic Low Dimensional Human Shape Refinement with Priors or Generic Cues using RGB-D Data", In Image and Vision Computing, 2015.
2014
[50] Qiaosong Wang, Zhan Yu, Christopher Rasmussen, Jingyi Yu, "Stereo Vision Based Depth of Field Rendering on a Mobile Device", In SPIE Journal of Electronic Imaging, vol. 23, no. 2, 2014.
[49] Qiaosong Wang, Zhan Yu, Christopher Rasmussen, Jingyi Yu, "Stereo Vision Based Depth of Field Rendering on a Mobile Device", In SPIE Conference on Digital Photography X, 2014.
[48] Christopher Rasmussen, Karthik Yuvraj, Richard Vallett, Kiwon Sohn, Paul Oh, "Towards Functional Labeling of Utility Vehicle Point Clouds for Humanoid Driving", In Journal of Intelligent Service Robotics, vol. 7, no. 3, 2014.
[47] Christopher Rasmussen, Kiwon Sohn, Karthik Yuvraj, Paul Oh, "Early Phases of Humanoid Vehicle Ingress Using Depth Cameras", In IEEE International Conference on Technologies for Practical Robot Applications, 2014.
[46] Christopher Rasmussen, Kiwon Sohn, Qiaosong Wang, Paul Oh, "Perception and Control Strategies for Driving Utility Vehicles with a Humanoid Robot", In IEEE International Conference on Intelligent Robots and Systems, 2014.
[45] Mehmet Kocamaz, "Low Dimensional vs. Point-Wise Complex Object Detection, Refinement, and Tracking", PhD thesis, University of Delaware, 2014.
[44] Youngbum Jun, Jonathan Weisz, Christopher Rasmussen, Peter Allen, Paul Oh, "Real-Time Teleop with Non-Prehensile Manipulation", In IEEE International Conference on Technologies for Practical Robot Applications, 2014.
2013
[43] Christopher Rasmussen, Karthik Yuvraj, Richard Vallett, Kiwon Sohn, Paul Oh, "Towards Functional Labeling of Utility Vehicle Point Clouds for Humanoid Driving", In IEEE International Conference on Technologies for Practical Robot Applications, 2013.
2012
[42] Christopher Rasmussen, "Kinects for Low- and No-Sunlight Outdoor Trail-Following", In Workshop on Advanced Reasoning with Depth Cameras at Robotics: Science and Systems, 2012.
[41] Christopher Rasmussen, Yan Lu, Mehmet Kocamaz, "A Trail-Following Robot Which Uses Appearance and Structural Cues", In International Conference on Field and Service Robotics, 2012.
[40] Yan Lu, Christopher Rasmussen, "Simplified Markov Random Fields for Efficient Semantic Labeling of 3D Point Clouds", In IEEE International Conference on Intelligent Robots and Systems, 2012.
2011
[39] Christopher Rasmussen, Yan Lu, Mehmet Kocamaz, "Integrating Stereo Structure for Omnidirectional Trail Following", In IEEE International Conference on Intelligent Robots and Systems, 2011.
[38] Yan Lu, Christopher Rasmussen, "Tree Trunk Detection Using Contrast Templates", In IEEE International Conference on Image Processing, 2011.
[37] Mehmet Kocamaz, Yan Lu, Christopher Rasmussen, "Trail Refinement and Following with Graph Cut and Support Vector Machines", In International Symposium on Visual Computing, 2011.
2010
[36] Christopher Rasmussen, Yan Lu, Mehmet Kocamaz, "Trail Following with Omnidirectional Vision", In IEEE International Conference on Intelligent Robots and Systems, 2010.
[35] Mehmet Kocamaz, Christopher Rasmussen, "Automatic Re finement of Foreground Regions for Robot Trail Following", In IAPR International Conference on Pattern Recognition, 2010.
2009
[34] Christopher Rasmussen, Yan Lu, Mehmet Kocamaz, "Appearance Contrast for Fast, Robust Trail-Following", In IEEE International Conference on Intelligent Robots and Systems, 2009.
2008
[33] Christopher Rasmussen, "RoadCompass: Following Rural Roads with Vision + Ladar Using Vanishing Point Tracking", In Autonomous Robots, vol. 25, no. 3, 2008.
[32] Christopher Rasmussen, "Shape-Guided Superpixel Grouping for Trail Detection and Tracking", In IEEE International Conference on Intelligent Robots and Systems, 2008.
[31] Christopher Rasmussen, Donald Scott, "Terrain-Based Sensor Selection for Autonomous Trail Following", In Workshop on Robot Vision, 2008.
[30] Thommen Korah, Christopher Rasmussen, "Analysis of Building Textures for Reconstructing Partially Occluded Facades", In European Conference on Computer Vision, 2008.
2007
[29] Thommen Korah, Christopher Rasmussen, "Spatiotemporal Inpainting for Recovering Texture Maps of Occluded Building Facades", In IEEE Transactions on Image Processing, vol. 16, no. 9, 2007.
[28] Christopher Rasmussen, "Superpixel Analysis for Object Detection and Tracking with Application to UAV Imagery", In International Symposium on Visual Computing, 2007.
[27] Thommen Korah, "Robust Spatiotemporal Analysis of Architectural Imagery", PhD thesis, University of Delaware, Newark, DE, 2007.
[26] Thommen Korah, Christopher Rasmussen, "2D Lattice Extraction from Structured Environments", In IEEE International Conference on Image Processing, 2007.
2006
[25] Christopher Rasmussen, "A Hybrid Vision + Ladar Rural Road Follower", In IEEE International Conference on Robotics and Automation, 2006.
[24] Christopher Rasmussen, William Ulrich, "Adaptive Road Image Segmentation from Ladar-Derived Labels", In Workshop on the DARPA Grand Challenge at Robotics: Science and Systems, 2006.
[23] Thommen Korah, Christopher Rasmussen, "PCA-Based Recognition for Efficient Inpainting", In IEEE Asian Conference on Computer Vision, 2006.
[22] Thommen Korah, Christopher Rasmussen, "Improving Spatiotemporal Inpainting with Layer Appearance Models", In International Symposium on Visual Computing, 2006.
[21] Lars Cremean, Tully Foote, Jeremy Gillula, George Hines, Dmitriy Kogan, Kristopher Kriechbaum, Jeffrey Lamb, Jeremy Leibs, Laura Lindzey, Christopher Rasmussen, Alexander Stewart, Joel Burdick, Richard Murray, "Alice: An Information-Rich Autonomous Vehicle for High-Speed Desert Navigation", In Journal of Field Robotics, vol. 23, no. 9, 2006.
2005
[20] Christopher Rasmussen, Thommen Korah, William Ulrich, "Randomized View Planning and Occlusion Removal for Mosaicing Building Facades", In IEEE International Conference on Intelligent Robots and Systems, 2005.
[19] Christopher Rasmussen, Thommen Korah, "Spatiotemporal Inpainting for Recovering Texture Maps of Partially Occluded Building Facades", In IEEE International Conference on Image Processing, 2005.
[18] Christopher Rasmussen, Thommen Korah, "On-Vehicle and Aerial Texture Analysis for Vision-Based Desert Road Following", In IEEE International Workshop on Machine Vision for Intelligent Vehicles, 2005.
[17] Thommen Korah, Christopher Rasmussen, "Aligning Sequences from Multiple Cameras", In IEEE International Conference on Speech, Acoustics, and Signal Processing, 2005.
2004
[16] Christopher Rasmussen, "Texture-Based Vanishing Point Voting for Road Shape Estimation", In British Machine Vision Conference, 2004.
[15] Christopher Rasmussen, "Grouping Dominant Orientations for Ill-Structured Road Following", In IEEE International Conference on Computer Vision and Pattern Recognition, 2004.
[14] Thommen Korah, Christopher Rasmussen, "Probabilistic Contour Extraction with Model Switching for Vehicle Localization", In IEEE Intelligent Vehicles Symposium, 2004.
2003
[13] Christopher Rasmussen, "Road Shape Classification for Detecting and Negotiating Intersections", In IEEE Intelligent Vehicles Symposium, 2003.
2002
[12] Christopher Rasmussen, "Combining Laser Range, Color, and Texture Cues for Autonomous Road Following", In IEEE International Conference on Robotics and Automation, 2002.
[11] Tsai Hong, Christopher Rasmussen, Tommy Chang, Michael Shneier, "Road Detection and Tracking for Autonomous Mobile Robots", In SPIE International Symposium on Aerospace/Defense Sensing, Simulation, and Controls, 2002.
[10] Tsai Hong, Christopher Rasmussen, Tommy Chang, Michael Shneier, "Fusing Ladar and Color Image Information for Mobile Robot Feature Detection and Tracking", In International Conference on Intelligent Autonomous Systems, 2002.
[9] Tsai Hong, Tommy Chang, Christopher Rasmussen, Michael Shneier, "Feature Detection and Tracking for Mobile Robots Using a Combination of Ladar and Color Images", In IEEE International Conference on Robotics and Automation, 2002.
2001
[8] Christopher Rasmussen, "Laser Range-, Color-, and Texture-based Classifiers for Segmenting Marginal Roads", In IEEE International Conference on Computer Vision and Pattern Recognition Technical Sketches, 2001.
[7] Christopher Rasmussen, "Joint Likelihood Methods for Mitigating Visual Tracking Disturbances", In IEEE Workshop on Multi-Object Tracking, 2001.
[6] Christopher Rasmussen, Gregory Hager, "Probabilistic Data Association Methods for Tracking Complex Visual Objects", In IEEE Transactions on Pattern Analysis and Machine Intelligence, vol. 23, no. 6, 2001.
2000
[5] Christopher Rasmussen, "Integrating Multiple Visual Cues for Robust Tracking", PhD thesis, Yale University, New Haven, CT, 2000.
1998
[4] Christopher Rasmussen, Gregory Hager, "Joint Probabilistic Techniques for Tracking Objects Using Multiple Visual Cues", In IEEE International Conference on Intelligent Robots and Systems, 1998.
[3] Christopher Rasmussen, Gregory Hager, "Joint Probabilistic Techniques for Tracking Multi-Part Objects", In IEEE International Conference on Computer Vision and Pattern Recognition, 1998.
1997
[2] Gregory Hager, David Kriegman, Erliang Yeh, Christopher Rasmussen, "Image-based Prediction of Landmark Features for Mobile Robot Navigation", In IEEE International Conference on Robotics and Automation, 1997.
1996
[1] Christopher Rasmussen, Gregory Hager, "Robot Navigation Using Image Sequences", In National Conference on Artificial Intelligence, 1996.