Camillo J. Taylor
Associate Dean, ODEI - SEAS; Raymond S Markowitz President’s Distinguished Professor, CIS
CJ’s research interests focus on computer vision and robotics. His work on problems related to recovering 3-D models from 2-D images has led to commercially deployed techniques for recovering architectural models. CJ has also developed algorithms for recovering the posture of articulated figures, such as humans from photographs and video footage. His current research include work on self-localizing embedded smart camera systems and their applications to problems such as automated surveying systems, ad-hoc surveillance systems, three-dimensional reconstruction and mobile robot localization.
Research Areas
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Startups
Publications
UPSLAM: Union of Panoramas SLAM
Publisher IEEE International Conference on Robotics and Automation (ICRA)
Any Way You Look At It: Semantic Crossview Localization and Mapping with LiDAR
Publisher IEEE International Conference on Robotics and Automation (ICRA)
Depth completion via deep basis fitting
Publisher IEEE Winter Conference on Applications of Computer Vision (WACV)
PST900: RGB-Thermal Calibration, Dataset and Segmentation Network,
Publisher Institute of Electrical and Electronics Engineers (IEEE)
2016 Benjamin Franklin Medal in Computer and Cognitive Science presented to Yale N. Patt, Ph. D.
Publisher Journal of the Franklin Institute
Publisher arXiv
Dfusenet: Deep fusion of rgb and sparse depth information for image guided dense depth completion
Publisher Institute of Electrical and Electronics Engineers (IEEE)
Evaluating the effectiveness of perspective aware planning with panoramas
Publisher IEEE International Conference on Robotics and Automation (ICRA)
Mavnet: An effective semantic segmentation micro-network for mav-based tasks
Publisher Institute of Electrical and Electronics Engineers (IEEE)
Monocular Camera Based Fruit Counting and Mapping with Semantic Data Association
Publisher IEEE Robotics and Automation Letters (RA-L)
Real Time Dense Depth Estimation by Fusing Stereo with Sparse Depth Measurements
Publisher IEEE International Conference on Robotics and Automation (ICRA)
Simultaneous Localization and Layout Model Selection in Manhattan Worlds
Publisher IEEE Robotics and Automation Letters (RA-L)
The open vision computer: An integrated sensing and compute system for mobile robots
Publisher IEEE International Conference on Robotics and Automation (ICRA)
Publisher arXiv
Fast, autonomous flight in GPS-denied and cluttered environments
Publisher Journal of Field Robotics
Fast, autonomous flight in GPS‐denied and cluttered environments
Publisher Journal of Field Robotics
Information based exploration with panoramas and angle occupancy grids
Publisher Springer
Predictive and Semantic Layout Estimation for Robotic Applications in Manhattan Worlds
Publisher arXiv
Robust Fruit Counting: Combining Deep Learning, Tracking, and Structure from Motion
Publisher IEEE International Conference on Intelligent Robots and Systems (IROS)
Robust Stereo Visual Inertial Odometry for Fast Autonomous Flight
Publisher IEEE Robotics and Automation Letters (RA-L)
Publisher Institute of Electrical and Electronics Engineers (IEEE)
Publisher arXiv
Unsupervised Deep Homography: A Fast and Robust Homography Estimation Model
Publisher IEEE Robotics and Automation Letters (RA-L)
Vehicle Detection and Counting at Road Intersections Using Video Data
Publisher Transportation Research Board (TRB)
An aerial phytobiopsy system: Design, evaluation, and lessons learned
Publisher International Conference on Unmanned Aircraft Systems (ICUAS)
Autonomous Navigation and Mapping for Inspection of Penstocks and Tunnels With MAVs
Publisher Institute of Electrical and Electronics Engineers (IEEE)
Counting Apples and Oranges With Deep Learning: A Data-Driven Approach
Publisher Institute of Electrical and Electronics Engineers (IEEE)
Publisher Institute of Electrical and Electronics Engineers (IEEE)
Fast autonomous flight with micro unmanned vehicles
Publisher Solid-State Sensors, Actuators and Microsystems Workshop
Online algorithms for factorization-based structure from motion
Publisher Computer Vision and Image Understanding
Recovering relative orientation and scale from visual odometry and ranging radio measurements
Publisher IEEE International Conference on Intelligent Robots and Systems (IROS)
Robust tactile perception of artificial tumors using pairwise comparisons of sensor array readings
Publisher IEEE Haptics Symposium (HAPTICS)
Towards fully autonomous visual inspection of dark featureless dam penstocks using MAVs
Publisher IEEE International Conference on Intelligent Robots and Systems (IROS)
2012 Benjamin Franklin Medal in Computer and Cognitive Science presented to Vladimir Vapnik
Publisher Journal of the Franklin Institute
Hierarchically-constrained optical flow
Publisher IEEE Computer Society Conference on Computer Vision and Pattern Recognition (CVPR)
Publisher IEEE International Conference on Intelligent Robots and Systems (IROS)
Optical flow with geometric occlusion estimation and fusion of multiple frames
Publisher Lecture Notes in Computer Science (LNCS)
Self Localizing Smart Camera Networks
Publisher Institute of Electrical and Electronics Engineers (IEEE)
Semi-autonomous exploration of multi-floor buildings with a legged robot
Publisher International Society for Optical Engineering (SPIE)
News
Faculty News
July 1, 2020
Faculty News
Camillo Jose Taylor: Raymond S. Markowitz President’s Distinguished Professor
March 17, 2020
GRASP News
October 10, 2017
GRASP News
“Penn Engineering Offers an Online MicroMasters in Robotics” in Penn Engineering
February 28, 2017
Faculty News
“Funding Innovation for Cleaner Cities”…Dr. Daniel Lee and Dr. CJ Taylor join in on the discussion
April 17, 2013
Students
Alumni
Robotics MSE '20 - Robotics Researcher Autonomous Systems Branch, Army Research Laboratory
Research Areas
- 3D Vision
- Autonomy
- Computer Vision
- Computer Vision and Perception
- Data-Driven Control Algorithms
- Dynamical Systems and Control
- Flying Robots
- Learning for Control Systems
- Machine Learning/AI and Autonomous Systems
- Multi-robot and Multi-agent Systems
- Multi-robot Systems
- Perception-based Control
- Robot and Mechanism Design
- Scene Understanding
- 3D Vision
- Autonomy
- Computer Vision
- Computer Vision and Perception
- Data-Driven Control Algorithms
- Dynamical Systems and Control
- Flying Robots
- Learning for Control Systems
- Machine Learning/AI and Autonomous Systems
- Multi-robot and Multi-agent Systems
- Multi-robot Systems
- Perception-based Control
- Robot and Mechanism Design
- Scene Understanding
- 3D Vision
- Autonomy
- Computer Vision
- Computer Vision and Perception
- Data-Driven Control Algorithms
- Dynamical Systems and Control
- Flying Robots
- Learning for Control Systems
- Machine Learning/AI and Autonomous Systems
- Multi-robot and Multi-agent Systems
- Multi-robot Systems
- Perception-based Control
- Robot and Mechanism Design
- Scene Understanding
- 3D Vision
- Autonomy
- Computer Vision
- Computer Vision and Perception
- Data-Driven Control Algorithms
- Dynamical Systems and Control
- Flying Robots
- Learning for Control Systems
- Machine Learning/AI and Autonomous Systems
- Multi-robot and Multi-agent Systems
- Multi-robot Systems
- Perception-based Control
- Robot and Mechanism Design
- Scene Understanding
- 3D Vision
- Autonomy
- Computer Vision
- Computer Vision and Perception
- Data-Driven Control Algorithms
- Dynamical Systems and Control
- Flying Robots
- Learning for Control Systems
- Machine Learning/AI and Autonomous Systems
- Multi-robot and Multi-agent Systems
- Multi-robot Systems
- Perception-based Control
- Robot and Mechanism Design
- Scene Understanding