[bib2web] Yann LeCun's Publications. Seth Teller / Publications. 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. Prof. Darrell was previously on the faculty of the MIT EECS department from 1999-2008, where he directed the Vision Interface Group. 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) Recent Presentations Y. H. J. Robotics, Vision, and Sensor Networks Group. Vision Group - Prof. Jianxiong Xiao. PmWiki - HomePage. Associate ProfessorVision, Learning and Graphics group,Dept. of Computer Science,Courant Institute of Mathematical Sciences,New York University Research ScientistFacebook AI Lab Director of Graduate Studies for Master of Science in Data Science Address:Room 1226, 715 Broadway,New York, NY 10003, USA.
Directions to lab I'm happy to announce that I am joining Facebook's new AI Group, a research laboratory with the long term goal of making major advances in the field. I'll be working alongside Yann LeCun, who will be leading the Group (Link). I will be working part time at Facebook until May, when my sabbatical starts and then I will be based full time at Facebook's new office at Astor Place, one block away from NYU. Facebook is building the AI Group here in New York, in Menlo Park and in London. My research is in the areas of Machine Learning and Computer Vision. NIPS 2013 Tutorial [Slides] See our deep convolutional network demo here.
Pre-prints of recent research can be found on arXiv: Link. Vision Group - Prof. Jianxiong Xiao. Abhinav Gupta Homepage. Alyosha Efros homepage. Antonio Torralba. Tomasz Malisiewicz: Home. Ram Nevatia. Gerard G Medioni. Zickler Lab | GVI Group. Visual Computing Group. Gortler Lab | GVI Group. Alex Berg Computer Vision UNC Chapel Hill. Welcome. Hello, I am an Associate Professor in the Department of Computer Science & Engineering at Washington University in St.
Louis. I received my Ph.D. from UPenn in Machine Learning under the supervision of Lawrence Saul. I did my undergraduate degree in Mathematics and Computer Science at the University of Oxford. My main line of research is in and around Machine Learning. In particular, I focus on high dimensional data analysis, machine learned web-search ranking, sentiment analysis, metric learning, multitask- and transfer-learning settings and bio-medical applications. Currently, my lab has developed a special focus on test-time cost-sensitive learning. My C.V.. I am part of: (Check out our Machine Learning Publications repository page.) Since around 2010 I have been (on and off) area chair for NIPS and ICML, senior program chair for AAAI, publications chair for NIPS and ICML and a member of the editorial board of JMLR and JAIR. I am married to (the amazing) Anne Bracy. Svetlana Lazebnik. Martial Hebert homepage. Autonomous Space Robotics Lab: Tim Barfoot. Canada Research Chair (Tier II) in Autonomous Space Robotics Associate Professor BASc (Eng Sci Aero, Toronto), PhD (Toronto), PEng (Ontario) The purpose of our lab's research program is to enable field robotics applications through advances in visual navigation of mobile robots.
In recent years, we have developed a variety of visual techniques for robots including (i) long-range visual odometry (aided by celestial observations) and (ii) visual teach and repeat (VT&R). VT&R has been particularly interesting in that it allows a robot to repeat a long (several kilometre) route that was taught manually, using only a single vision sensor (stereo camera, lidar, kinect) for feedback (no GPS needed). We have also layered a planning framework on top of VT&R to allow a robot to build a network of reusable paths (NRP) autonomously while exploring a space. Publications (bib) Several of the below PDFs are password-protected for copyright reasons.
Journal and Magazine Articles Appeared or Accepted. Vladimir Jojic — Department of Computer Science. (124) Ph.D. 2007, University of Toronto. Bioinformatics, computational biology, machine learning. Vladimir Jojic joined the department of Computer Science at the University of North Carolina at Chapel Hill in 2011. He completed his Computer Science postdoc in Daphne Koller’s lab at Stanford University where he worked on problems of regulatory network reconstruction, metagenomics, and large scale convex optimization.
He earned his PhD in computer science from the University of Toronto with Brendan Frey. Vladimir's main areas of interest lie at the intersection of machine learning and immunology, with applications in understanding immune system development and disease progression. Lise Getoor | University of Maryland (UMD) Andreas Geiger. Sanja Fidler. Information I am an assistant professor at University of Toronto. Prior coming to Toronto, in 2012/2013, I was a research assistant professor at Toyota Technological Institute at Chicago. I did my postdoc with Prof. Sven Dickinson at University of Toronto. I finished my PhD in 2010 at University of Ljubljana in the group of Prof. Ales Leonardis. In 2010, I was visiting Prof.
Research interests My main research interests are object detection, particularly scalable multi-class detection, 3D object recognition and detection, object segmentation and image labeling, and (3D) scene understanding. Students Teaching News. Raquel Urtasun.