Image Group. News Check out our MICCAI 2014 paper Probabilistic shortest path tractography in DTI using Gaussian Process ODE solvers Check out our CVPR 2014 paper on Grassman averages for Robust PCA! February 10-14 2014: Speaker at the MBI Workshop 2: Morphogenesis, Regeneration, and the Analysis of Shape Research My research focuses on the analysis of data which naturally lives in non-smooth spaces, and tree- or graph-structured data in particular. One example of tree-structured data is the human airway tree. The aim of my most recent research has been to develop methods for doing statistical analysis on tree-structured data.
My CV: short version, long version. Extracurricular research In addition to my work on mathematics, some of my time in Copenhagen has been spent on the much-too-ignored basic research topic of Limfjordsporter cake. Check out the technical report! Links. Home Page of Iasonas Kokkinos. Iasonas Kokkinos Associate ProfessorCenter for Visual Computing Ecole Centrale Paris Grande Voie des Vignes 92295 Chatenay-Malabry, France +33-141131097 iasonas.kokkinos[at]ecp.fr Center for Visual Computing (Equipe Diocles) and GALEN group, INRIA-Saclay News 19 Dec: In our latest arxiv report we set a new state-of-the-art for semantic image segmentation using Deep Convolutional Nets and fully-connected CRFs - at 8 frames per second! 19 Dec: In our latest arxiv report we use a Siamese Deep Convolutional Network and achieve large performance gains over SIFT in patch retrieval. 30 Nov: In our latest arxiv report we obtain 56.4% mAP on Pascal VOC2007 with Deep CNN sliding window detectors.
Joint work with G. 20 Sep: Received an equipment gift (2xTesla K40) for research in deep learning as part of the NVIDIA Academic Hardware Donation Program. 2 Sep: Our TTIC_ECP entry on the Imagenet 2014 competition achieved 10.2% top-5 error rate. 19 Aug: I will be serving as area chair for CVPR 2015. Hervé Jégou — Hervé Jégou. I am a researcher employed by Inria. I am a former student of the Ecole Normale Superieure de Cachan, holding a M.S. (2002) and PhD (2005) from University of Rennes I. During my PhD, I worked on error-resilient compression and joint source channel coding. After that, I turned out to Computer Vision and Pattern Recognition. I joined the LEAR group (INRIA Grenoble) as a permanent researcher in 2006, and moved to INRIA Rennes in 2009. My work is mainly focused on computer vision, with most of my contributions focused on large scale indexing techniques (vectors/images/video), focusing on compressed-domain search techniques that scale from millions to billions of vectors/images such as product quantization, that I proposed to search in a compressed set of vectors without decompressing it.
Projects VIAMASS, 2015-2019. Students and collaborators Post-docs Ronan Sicre, 2014-,Andrei Bursuc, 2014-,Giorgos Tolias, 2013-,Wanlei Zhao, 2012-2013, co-advised with G. Ph.D. students Visiting PhD students. Street View Motion-from-Structure-from-Motion. Mundy, Joseph. Since 1963 Joe Mundy has been a technical staff member of the General Electric Research and Development Center. In 1969 he received his PhD in Electrical Engineering from Rensellaer Polytechnic Institute.
His early projects at the Center include: high power microwave tube design, a super-conductive computer memory system, the design of high density associative memory arrays, the application of transform coding to image data compression and the development of an automatic inspection system for lamp filaments. From 1977 until 1982 he was Manager, Visual Information Processing Program.
In this capacity he led a number of extensive efforts in the application of machine vision techniques to automatic visual inspection for quality control. In the 1980's Dr. Dr. Rbg's home page. I finished my Ph.D. in computer vision at The University of Chicago under the supervision of Pedro Felzenszwalb in April 2012. Then, I spent two unbelievably wonderful years as a postdoc at UC Berkeley under Jitendra Malik. Now, I'm a Researcher at Microsoft Research in Redmond, WA. My main research interests are in computer vision, AI, and machine learning. I'm particularly focused on building models for object detection and recognition. These models aim to incorporate the "right" biases so that machine learning algorithms can understand image content from moderate to large-scale datasets. During my Ph.D., I spent time as a research intern at Microsoft Research Cambridge, UK working on human pose estimation from (Kinect) depth images.
Abhinav Gupta Homepage. Blocks World Revisited. "the perception of solid objects is a process which can be based on the properties of three-dimensional transformations and the laws of nature" -Larry Roberts (1965) Idea Since most current scene understanding approaches operate either on the 2D image or using a surface-based representation, they do not allow reasoning about the physical constraints within the 3D scene. Inspired by the "Blocks World" work in the 1960's, we present a qualitative physical representation of an outdoor scene where objects have volume and mass, and relationships describe 3D structure and mechanical configurations. Our representation allows us to apply powerful global geometric constraints between 3D volumes as well as the laws of statics in a qualitative manner.
We also present a novel iterative "interpretation-by-synthesis" approach where, starting from an empty ground plane, we progressively ``build up'' a physically-plausible 3D interpretation of the image. Global Constraints Results Downloads Dataset Code. Alexander G. Schwing. Research. Research.
Learning, Recognition, and Surveillance @ ICG. Learning, Recognition, and Surveillance @ ICG. Esther Horbert — Computer Vision Group. Haim Avron - IBM. Computer Vision Lab: Job Offers at CVL. People - Personal Page. Perceiving Systems - Careers. Dhruv Batra -- Home. Dhruv Batra Assistant Professor Bradley Department of Electrical and Computer EngineeringVirginia Tech Lead: Machine Learning & Perception Group @ VT Core Faculty: Virginia Center for Autonomous Systems Member: Discovery Analytic Center Email: username -at- domain.edu (where username = dbatra, domain = vt) Prospective students: please read this note before emailing me.
Office: 468 Whittemore Lab: 415 Whittemore Phone: 540-231-7561 News I received the National Science Foundation (NSF) CAREER award! I received the Army Research Office (ARO) Young Investigator Program (YIP) award! 2 papers accepted at CVPR14. 1 paper accepted at AISTATS14. Received an equipment gift (Tesla K40) as part of the NVIDIA Academic Hardware Donation Program. Received Windows Azure for Research Award for CloudCV. Spring 13: Teaching ECE 6504: Advanced Machine Learning: Probabilistic Graphical Models. Our CloudCV project was awarded an Amazon Web Services (AWS) in Education: Machine Learning Research Grant. Fall 2013: Devi Parikh - Home. "Do I know you? " Americal Society for Engineering Education (ASEE) feature in their Prism November 2014 issue "Can cartoons be used to teach machines to understand the visual world?
" 4-traders news story, Virginia Tech's featured news story, College of Engineering's featured news story, and Virginia Tech's Bradeley Department of Electrical and Computer Engineering's featured news story about my Google Faculty Research Award 2014. Virginia Tech and College of Engineering's featured news story about my Army Research Office (ARO) Young Investigator Program (YIP) 2014 award. Virginia Center for Autonomous Systems (VaCAS) featured news story about my Army Research Office (ARO) Young Investigator Program (YIP) 2014 award. Virginia Tech's 2013 ECE Annual Report has a profile of my research.
About me I am an Assistant Professor in the Electrical and Computer Engineering department at Virginia Tech. I've spent several months at: Hayko Riemenschneider - Computer Vision Laboratory, ETH Zurich. LEAR - Team. Home Page of Jayant Kumar. Computer Vision Group - Job Offers. Postdoctoral Researcher Requirements are a strong background in mathematics and a track record in Computer Vision or related areas. Please send application as pdf via email (including CV, publication list and transcripts) to Prof. Dr. Daniel Cremers. Doctoral Students in Computer Vision, Pattern Recognition or Machine Learning Requirements are a strong background in mathematics and experience in C++ or Matlab programming. Please send applications (via email as pdf, including CV, publication list and transcripts) to Prof. Student Researchers We are currently looking for student researchers. We do NOT offer internships! Research Project: Interdisciplinary Project (IDP), Guided Research Project or Thesis We currently offer an interesting research project on Image based analysis of shear zones in metal components in cooperation with the Mechanical Engineering Department.
Further information can be found in the attached pdf: Image based analysis of shear zones in metal components Master theses. Svetlana Lazebnik. Prof. (em.) Dr. Armin B. Cremers. Homepage of Oscar Koller. Welcome. I am assistant professor of Computer Science at the Ensimag (School of Computer Science and Applied Mathematics, INP Grenoble University), and a researcher at the INRIA Rhône-Alpes, France, with the Morpheo team since 2011. I obtained my PhD from the Institut National Polytechnique de Grenoble in 2005 with the INRIA MOVI team. I started my professional career as a postdoctoral research assistant at the University of North Carolina's Computer Vision Group in 2006, and as assistant professor at the University of Bordeaux, with the IPARLA team, INRIA Bordeaux Sud-Ouest.
My expertise is in the field of computer vision, with several internationally recognized contributions to dynamic 3D modeling from multiple views and 3D interaction. Full CV available. My current research interests are in 3D modeling and 4D spatio-temporal modeling from multiple views. News EPVH is one of the projects developed during my thesis. Welcome. Welcome to Vibhav's homepage. TUD - Computer Vision - Publications. Karteek Alahari - Homepage. Welcome. Page Personnelle de Julien Mairal. Esther Horbert — Computer Vision Group. Publications — Computer Vision Group. Job Offers — Computer Vision Group. We are constantly seeking candidates with a strong interest in performing cutting edge research in a very active and exciting research area.
Post-Doc Positions We are currently looking for Post-Docs with expertise in the fields of computer vision, machine learning and/or robotics. Please contact Prof. Bastian Leibe if you're interested. Research Assistant (PhD Candidates) We regularly have openings for higly qualified PhD. students. Summer Internships We do NOT offer any internships. HiWi Positions We permanently look for student assistants (HiWi) to work on exciting computer vision projects. Specifically, we are currently looking for: Someone with good programming experience (C++, Python, CMake) who wants to make our robot Karl do cool things.
Bachelor/Master Theses Again, we permanently offer proposals; look at our staff's pages to see what they do and contact whoever you'd like to work with directly. You need to be a student of RWTH Aachen University. Jean Ponce. Research | CVLAB. Vincent LEPETIT. Co-organizer of NORDIA'08, workshop at CVPR'08, and DEFORM'06, workshop at BMVC'06. Program committee member at ECCV'06, CVPR'06, ISMAR'06, VR'07, CVPR'07, ACCV'07, ICCV'07, ECCV'08, ICPR'08, BMVC'08, ISMAR'08, NIPS'08, CVPR'09, ICCV'09, BMVC'09, ACCV'09, NIPS'09, CVPR'10, BMVC'10, RSS'10, NIPS'10, BMVC'11, ICCV'11, CVPR'12, CVPR'13, ICCV'13, NIPS'13, CVPR'14.
Regular reviewer for PAMI, IJCV, CVIU, IP, PR, T-RO. Involved in the STAR (completed), VIBES (completed), DYVINE (completed), PEGASE (completed), PHAROS (completed) European projects. PhD Thesis V. Book Chapters V. @inbook{Lepetit13, author = "V. P. @inbook{Fua07, author = "P. Journal Papers X. @article{Sun14, author = "X. M. S. @article{Hinterstoisser11b, author = "S. K. @article{Kim12, author = "K. Y. @article{Park12, author = "Y. T. @article{Trzcinski12, author = "T.
S. @article{Hinterstoisser11b, author = "S. W. @article{Lee11, author = "W. A. @article{Fossati09, author = "A. K. @article{Kim10, author = "K. K. M. E. V. J. M. V. V. For prospective doctoral students | PHD | EPFL. EPFL is ranked among the best research institutes and offers doctoral students optimal infrastructures and support. The Doctoral School supervises 18 doctoral programs covering together all EPFL fields of research. Each of our 18 doctoral programs is responsible for recruiting doctoral students, organizing their supervision and monitoring their progress. The doctoral programs also organize an offer of advanced level courses and create a community based in their scientific domain.
If you plan to apply for a phd position at EPFL, you will find on the following pages all important information for preparing your application file: Why choose EPFL? The 18 doctoral programs Doctoral studies: general structure Application process Application deadlines Doctoral student's salary Joint programs & exchange Practical info and useful links Meet EPFL representatives at fairs.
EDIC Computer and Communication Sciences | PHD | EPFL. Research | CVLAB. Vincent LEPETIT. CVG @ ETHZ - CVG @ ETHZ - Nikolay Savinov. Ivan Laptev | INRIA Paris - Rocquencourt, France. Home. Welcome! I am a senior research scientist at the Max Planck Instiute for Intelligent Systems in Tübingen. Before, I was postdoctoral researcher at ETH Zurich, temporary Professor at TU Darmstadt, and Junior Research Group Leader at the MPI for Informatik.
I did my PhD studies in the Empirical Inference group at the MPI for Biological Cybernetics. My main research focus lies on visual scene understanding. I want to enable computers to reason about the physical world around us. I have broad interest in computer vision and machine learning topics with a focus on statistical models and inference techniques. News Upcoming course Together with Andreas Geiger I will be teaching Intelligent Systems - Graphical Models in Computer Vision at the university of Tuebingen. Visiting MSRC I spent August 2014 as a visiting researcher at MSR Cambridge Advanced Structured Prediction Check out the forthcoming book on structured prediction from MIT press New homepage This is my new homepage. Max Planck Institute for Intelligent Systems - Perceiving Systems Department.
People – home. Vikas Sindhwani. Max-Planck-Institut für Informatik: Bernt Schiele. Research Interests Understanding sensor information is a fundamental problem in computer science. Scientific challenges cover the entire pipeline from single-sensor processing, over spatial and temporal fusion of multiple and divergent sensor modalities to the complete description of large-scale multimodal sensor streams. At the same time we observe a tremendous increase in both the quantity as well as the diversity of sensor information due to the increasing number of sensors (such as cameras, GPS, or inertial sensors) embedded in a wide variety of digital devices and environments as well as due to the increasing storage of multimodal sensor data (such as surveillance data, personal storage of digital information, multimedia databases, or simply the Internet). While storing and indexing large amounts of sensor data has made tremendous progress, understanding of this multimodal sensor data still lacks far behind.
Education Short-Bio Experience Some External Activities Publications. Max-Planck-Institut für Informatik: Offers. Home Page of Iasonas Kokkinos. Home · Ramakrishna. Hugo Larochelle. 503 Service Temporarily Unavailable. Kenneth Funes. Naveen Shankar Nagaraja. Sanja Fidler. GVV: Offers. Cv:hci - People - Rainer Stiefelhagen.
Joseph Lim's Home Page. Antonio Torralba. Rahul Sukthankar's Home Page. David Fouhey. Larry Zitnick. Publications | D2. Martial Hebert homepage. WILLOW Publications. Www.inf.ethz.ch/personal/ladickyl/ Michael Felsberg. Hervé Jégou — Hervé Jégou. Kristen Grauman. Søren Hauberg @ CogSys, DTU Compute. Michael J. Black. Alexander Toshev. William T. Freeman Home | William T. Freeman. Frédéric Devernay: Computer Vision Research at INRIA. Ming-Hsuan Yang's Home Page. People - Srikumar Ramalingam | Mitsubishi Electric Research Laboratories.
Marc Pollefeys' homepage. Fisher Yu. Homepage Jan-Michael Frahm. David Gallup. Megha Pandey::Homepage. Svetlana Lazebnik. R. Venkatesh Babu's Homepage. Sanja Fidler. Raquel Urtasun. Larry Zitnick. Computer Vision Lab: Members - Prof. Luc Van Gool. Song-Chun Zhu's homepage. Computer Vision Lab. Hayko Riemenschneider - Computer Vision Laboratory, ETH Zurich.