Ranjith Unnikrishnan. Rahul Sukthankar. Thomas K. Leung. Caroline Pantofaru. Dr. Shoudong Huang's Personal Page. New (June 2014): Line Matching based on Planar Homography for Aerial Photogrammetric Images code (paper submitted to ISPRS Journal of Photogrammetry and Remote Sensing) New (February 2014): Graph structure in SLAM (Technical report)(accepted by IROS’2014) New (December 2013): code for multi-step SLAM dimension reduction (Dimension Reduction for Point Feature SLAM Problems with Spherical Covariance Matrices, paper submitted to Automatica) New (July 2013): code for L2-SIFT (SIFT feature extraction and matching for large images in large-scale aerial photogrammetry)(paper in ISPRS Journal of Photogrammetry and Remote Sensing) New (April 2013): code for pose feature graph pruning (paper in ECMR’2013) New (March 2013): Linear SLAM (paper in IROS’13) July 2012: On the Structure of Nonlinearities for Point Feature SLAM with Spherical Covariance Matrices, Automatica,(paper, code) July 2012: On the Structure of Nonlinearities in Pose Graph SLAM -- RSS 2012,( paper, code) · More 2D SLAM Data Sets 1. 2.
Dr. Shoudong Huang's Personal Page. Andrei Sharf - homepage. Andrei Sharf - homepage. Dominik Joho – Homepage. After finishing my Ph.D., I left the AIS group to work in the industry. From 2007 until 2013, I was a Ph.D. student at the Department of Computer Science at the Albert Ludwigs University of Freiburg, working in the research lab for Autonomous Intelligent Systems headed by Wolfram Burgard. I was involved in the subproject R6-[SpaceGuide] of the SFB/TR 8 Spatial Cognition. From 2001 until 2007, I studied computer science at the University of Freiburg with minor subject cognitive science, specializing in artificial intelligence and robotics. From 2004 until 2006, I worked on multimodal human-robot interaction in the junior research group Humanoid Robots headed by Sven Behnke. I am generally interested in robotics, machine learning, and perception. In recent years, I worked on several topics including scene analysis, RFID-based localization, speech processing, autonomous exploration, search in unknown environments, and human-robot interaction. firstname.lastname@example.org.
Www.marc-toussaint.net. Reformulating planning as probabilistic inference---where it helps and where not | The CSAIL Center for Robotics. Www.marc-toussaint.net. Downloads. Scott Satkin. Background I am a 5th year Ph.D. student in The Robotics Institute, part of Carnegie Mellon University's School of Computer Science.
I am advised by Professor Martial Hebert (academic ancestry). I received my Bachelor's and Master's Degrees from Washington University in St. Louis, where I was advised by Dr. Robert Pless. Prior to beginning my graduate studies, I interned and consulted at Bell Labs in Murray Hill, NJ and Bangalore, India. I am a computer vision researcher, currently exploring data-driven geometry estimation problems. Contact Information E-mail: scott (at) satkin (dot) com Office Address: Carnegie Mellon University The Robotics Institute 5000 Forbes Avenue Pittsburgh, PA 15213 Publications "3DNN: Viewpoint Invariant 3D Geometry Matching for Scene Understanding", Proceedings of the International Conference on Computer Vision (ICCV), 2013.
"Data-Driven Scene Understanding from 3D Models", British Machine Vision Conference (BMVC), 2012. Education. Alexander G. Schwing. Homepage of Dieter Fox. Homepage of Patric Jensfelt. University of Bonn, Computer Science VI, Autonomous Intelligent Systems. Head of Computer Science Department VI Head of Autonomous Intelligent Systems Group Address: Prof. Dr. Sven Behnke Rheinische Friedrich-Wilhelms-Universität Bonn Institut für Informatik VI Friedrich-Ebert-Allee 144 53113 Bonn Tel: +49 (0) 228 73-4116 Fax: +49 (0) 228 73-4425 Email: behnke _at_ cs.uni-bonn.de Office: I.06 Short CV Sven Behnke received his MS degree in Computer Science (Dipl. According to Google Scholar, his h-index is (querying) and his number of citations is (querying). A list of his program committee memberships and meeting organizations can be found here. David Fouhey. D.A. Forsyth's Home Page. Silvio Savarese - Home page. Active Contour Code. In the following you can find code for segmentation based on geometric/geodesic active contours.
Implementations are based on the following papers: A Geometric Model for Active Contours, Caselles et al. 1993Geodesic Active Contours, Caselles et al. 1997 Formulations for both the models are as follows: where is a level-set function defining the segment, is a `stopping' function, is the image and is a `balloon' force constant. Segmentation results for an image from the DRIVSO project. Model 1. is the geometric model, while model 2. is the geodesic model. In this case, partly due to diffusion, obtained results are similar. Download Matlab/MEX code for active contours Latest version of the code is available from my GitHub account!
Jeremy Wyatt's Home Page. News We have just finished our first year of work on our FP7 project PacMan on robot manipulation of objects. Have a look at our video on learning dextrous grasps that are transferable to novel objects (ICRA 2014), and also a video of our work on planning active information gathering during grasping (IROS 2013). I recently appeared on Business Daily on the BBC World Service, talking about robotics. A new paper on visual gaze control for manipulation with Jose Nunez-Varela has just come out in ACM Transactions in Applied Perception. I'm involved in the STRANDS project on spatio-temporal representations in long term robotics, led by Nick Hawes. Have a look at our 2011 video (IJCAI 11 video finalist) on probabilistic planning in robot object search here. Research Interests I am a member of the Intelligent Robotics Laboratory. Birmingham PhD theses in Machine Learning Here are some great PhD theses to come out of Birmingham in Machine Learning.
Robotics and Perception Group. Prof. Trevor Darrell. Prof. Trevor Darrell’s group is co-located at the University of California, Berkeley (UCB), and the UCB-affiliated International Computer Science Institute (ICSI), also located in Berkeley, CA. Prof. Darrell is the faculty director of the Berkeley Vision and Learning Center in the EECS Department at UCB and is the vision group director at ICSI.
Darrell’s group develops algorithms to enable multimodal conversation with robots and mobile devices, and methods for object and activity recognition on such platforms. His interests include computer vision, machine learning, computer graphics, and perception-based human computer interfaces. Current Teaching CS294: Object and Activity Recognition Seminar (Spring 2014) CS294: Object and Activity Recognition Seminar (Spring 2013) CS294: Object and Activity Recognition Seminar (Spring 2012) CS294: Object and Activity Recognition Seminar (Spring 2011) CS280: Computer Vision (Fall 2009) CS294: Object and Activity Recognition Seminar (Spring 2009) Y.
H. J. Antonio Torralba. About Me. Simone Frintrop. Platt :: Northeastern University. Chad Jenkins » Publications. Caroline Rebecca Pantofaru. My research focuses on computer vision and machine perception. I'm interested in understanding the world from visual information, including understanding events, scenes and activities, detecting and tracking people, as well as object detection and segmentation. I'm also interested in exploring how systems can use and improve their understanding by interacting with the world and by being user-focused, which has driven my work in robotics and human-robot interaction. I'm currently a Research Scientist at Google, Inc.Previously I was a Research Scientist at Willow Garage, Inc., a personal robotics research lab. I completed my doctoral work at The Robotics Institute, Carnegie Mellon University, advised by Martial Hebert.
I also spent time at INRIA Rhône-Alpes working with Cordelia Schmid. My thesis explored the use of unsupervised image segmentation to improve object recognition. Please explore these pages to learn more about my work. Shailesh Kumar. Dr. Shailesh Kumar is a Member of Technical Staff at Google, Hyderabad where he works on Machine Learning, Information Retrieval, Data Mining, and Computer Vision problems for various Google products. Prior to joining Google, he has worked as a Principal Dev. Manager at Microsoft (Bing) Hyderabad, Sr. Scientist at Yahoo! Labs Bangalore, and Principal Scientist at Fair Isaac Research in San Diego, USA. Compacting Large and Loose Communities Chandrashekhar V., Shailesh Kumar, C. Germán Martín García. Research. Www.ics.uci.edu/~dramanan/bio.txt. Deva Ramanan is an associate professor of Computer Science at the University of California at Irvine.
Prior to joining UCI, he was a Research Assistant Professor at the Toyota Technological Institute at Chicago. He received his B.S. in computer engineering from the University of Delaware in 2000, graduating summa cum laude. He received his Ph.D. in Electrical Engineering and Computer Science from UC Berkeley in 2005 under the supervision of David Forsyth. His research interests span computer vision, machine learning, and computer graphics, with a focus on visual recognition. He was awarded the David Marr Prize in 2009, the PASCAL VOC Lifetime Achievement Prize in 2010, an NSF Career Award in 2010, the UCI Chancellor's Award for Excellence in Undergraduate Research in 2011, the Outstanding Young Researcher in Image and Vision Computing Award in 2012, and was selected as one of Popular Science's Brilliant 10 researchers in 2012.
Home. Research. Josef Sivic. I am a full-time researcher at INRIA working in the Willow project at the Department of Computer Science of the Ecole Normale Supérieure. I completed my PhD at the University of Oxford working with Prof. Andrew Zisserman. My thesis dealing with efficient visual search of images and videos was awarded the Sullivan Thesis Prize and was short-listed for the BCS Distinguished Dissertation award - the prize for the best Computer Science thesis in the UK.
Before coming to France I spent six months as a post-doc in the Computer Science and Artificial Intelligence Lab (CSAIL) at MIT, working with Prof. William Freeman. News Publications Teaching Ecole Normale Supérieure de Paris / Ecole Normale Supérieure de Cachan (co-lecturing with J. Students and Collaborators Post-docs: Visesh Chari Phd students: Maxime Oquab (co-advised with L. Graduated: Dr.
Phd thesis: Removing Camera Shake Blur and Unwanted Occluders from Photographs M.Sc. students: Maxime Oquab, 2013 (co-advised with L. Former collaborators: Homepage of Hema Koppula. Prof. Danica Kragic. Short bio: Danica Kragic is a Professor at the School of Computer Science and Communication at the Royal Institute of Technology, KTH. She received MSc in Mechanical Engineering from the Technical University of Rijeka, Croatia in 1995 and PhD in Computer Science from KTH in 2001.
She has been a visiting researcher at Columbia University, Johns Hopkins University and INRIA Rennes. She is the Director of the Centre for Autonomous Systems. Danica received the 2007 IEEE Robotics and Automation Society Early Academic Career Award. This is a personal homepage. Generated by Danica Kragic 2013. Homepage of Andrzej Pronobis. I'm a research associate in the Robotics and State Estimation Lab at the University of Washington working with Dieter Fox.
I'm interested in the development of perception and spatial understanding mechanisms for mobile robots and their interplay with components responsible for interaction with the world and human users. My goal is to build robots that can operate robustly in human environments and efficiently solve tasks in collaboration with humans. My work spans the areas of robotics, computer vision, machine learning and AI, and includes such problems as semantic perception, mapping and reasoning, exploiting semantic information for planning robot's behavior, natural human-robot interaction and language understanding. My CV is available here. Olivier Stasse Homepage. D. B. Bruce. I am currently a postdoc working at INRIA Sophia Antipolis as a member of the NeuroMathComp research group. I completed a Ph.D. in the department of Computer Science and Engineering in 2008 as a member of the Centre for Vision Research at York University, Toronto, Canada. In 2003, I completed a M.A.Sc in System Design Engineering at the University of Waterloo, and received an Honours B.Sc. with a double major in Computer Science and Mathematics from the University of Guelph in 2001.
My current research interests include a variety of topics in human and machine vision including but not limited to computational neuroscience, visual attention, natural image statistics, statistical and Bayesian approaches, information theory, computer vision and machine learning. Fully Refereed Bruce, N.D.B., Tsotsos, J.K., Saliency, Attention, and Visual Search: An Information Theoretic Approach, Journal of Vision 9:3, p1-24, 2009, doi:10.1167/9.3.5. Bruce, N.D.B. Informatik III - Intelligent Vision Systems Group. Yogesh Girdhar. Jim Little. The interesting blob descriptions on the right above were computed using the Maximally Stable Colour Regions descriptors of Per-Erik Forssen. See MSCR for more information. Email: little AT cs.ubc.ca Phone: +1 (604) 822-4830 Fax: +1 (604) 822-5485 URL: Address: Department of Computer Science University of British Columbia ICCS 117 2366 Main Mall Vancouver, B.C., Canada V6T 1Z4 I am a Professor in the Department of Computer Science at the University of British Columbia .
I am a member of the Laboratory for Computational Intelligence (LCI). I am a member of the Institute for Computing, Information, and Cognitive Systems. I am on the organizing committee of ICRA 2014 workshop Robots in Homes and Industry: Where to Look First? Research Here is a brief sketch of my research program. My research publications can be found under papers.
Current Students M.Sc. Ph.D. Former Students M.Sc. Robotics Our weekly reading group on vision and robotics is: Robuddies. Germán Martín García. Wjwwood (William Woodall) Johns Hopkins Computer Vision Machine Learning. Cyrill Stachniss. Silvio Savarese - Home page. Robotics and Mechatronics - Raffaella Carloni. .:: Carolina Galleguillos ::. Caroline Rebecca Pantofaru. Chamfer Distance Transforms Object Detection Recognition Shape Matching Hausdorff. Kristen Grauman.