Difference: Robuddies (1 vs. 21)

• Feb 1: Per-Erik: S. Obdrzálek and J. Matas. Sub-linear indexing for large scale object recognition. BMVC 2005

Finished papers, spring 2006

• Oct 25: Scott Helmer: V. Ferrari, L. Fevrier, F. Jurie, and C. Schmid. Groups of Adjacent Contour Segments for Object Detection. Tech report 2006
• Nov 1: Hao Jiang: Talk with title "Sucessive Convex Matching", related paper: Hao Jiang, Mark S. Drew and Ze-Nian Li. Successive Convex Matching for Action Detection CVPR06

• Oct 25: Scott Helmer: TBA
• Nov 1: Hao Jiang: TBA

• Oct 18: Kenji Okuma: A. Criminisi, G. Cross, A. Blake, V. Kolmogorov. Bilayer Segmentation of Live Video. CVPR 2006

• Oct 11: Mike Yurick and Mark Schmid: CRF Tutorial using S. Kumar and M. Hebert. Discriminative Fields for Modeling Spatial Dependencies in Natural Images, Advances in Neural Information Processing Systems, NIPS 16, 2004.

• Oct 4: Pooja Viswanatan: A talk with the title: An Intelligent Powered Wheelchair to Enable Mobility in Older Adults with Cognitive Impairment

• Oct 4: Pooja Viswanatan: An Intelligent Powered Wheelchair to Enable Mobility in Older Adults with Cognitive Impairment
• Oct 11: Mike Yurick and Mark Schmid: CRF Tutorial using S. Kumar and M. Hebert. Discriminative Fields for Modeling Spatial Dependencies in Natural Images, Advances in Neural Information Processing Systems, NIPS 16, 2004.
• Oct 18: Kenji Okuma: A. Criminisi, G. Cross, A. Blake, V. Kolmogorov. Bilayer Segmentation of Live Video. CVPR 2006
• Oct 25: Scott Helmer

• Oct 4: Mike Yurick and Mark Schmid: CRF Tutorial using S. Kumar and M. Hebert. Discriminative Fields for Modeling Spatial Dependencies in Natural Images, Advances in Neural Information Processing Systems, NIPS 16, 2004.

• Oct 18: Scott Helmer

• Oct 4: Mike Yurick: S. Kumar and M. Hebert. Discriminative Fields for Modeling Spatial Dependencies in Natural Images, Advances in Neural Information Processing Systems, NIPS 16, 2004.

Each week someone presents a paper/tutorial or current research.

The topics for robuddies are Robotics and Vision. Under the heading Finished Papers below is a log of earlier topics.

/Per-Erik

Upcoming papers

• Oct 4: Mike Yurick: A CRF tutorial yet to be specified
• Oct 11: Kenji Okuma: A. Criminisi, G. Cross, A. Blake, V. Kolmogorov. Bilayer Segmentation of Live Video. CVPR 2006
• Oct 18:
• Oct 25:

Finished papers

• Sept 27: Jim and Kevin M: John Winn, Jamie Shotton, The Layout Consistent Random Field for Recognizing and Segmenting Partially Occluded Objects. CVPR 2006. This week we also had an account from David Lowe on a recent Object Class Recognition workshop in Sicily.
• Sept 20: Per-Erik: Simon Leonard, Martin Jagersand, Incremental Learning for Mapping Image Variations to Actions. ICRA 2005
• July 27: More CVPR and ECCV, Jim and Wei-Lwun:
  • Amit Adam and Ehud Rivlin and Ilan Shimshoni, Robust Fragments-based Tracking using the Integral Histogram, CVPR 2006
  • Oncel Tuzel and Fatih Porikli and Peter Meer, Region Covariance: A Fast Descriptor for Detection and Classification, ECCV 2006
  • Hwasup Lim and Vlad I. Morariu and Octavia I. Camps and Mario Sznaier, Dynamic Appearance Modeling for Human Tracking, CVPR 2006
• July 20: Best of CVPR pt2:
  • David: Lazebnik, Schmid, Ponce, Beyond Bags of Features: Spatial Pyramid Matching for Recognizing Natural Scene Categories
  • Jim: Parameswaran, Ramesh, Zoghlami. Tunable Kernels for Tracking
• July 13: Best of CVPR:
  • Scott: Dollar, Ti and Belongie, Supervised Learning of Edges and Object Boundaries
  • Per-Erik: David Nistér and Henrik Stewénius, Scalable Recognition with a Vocabulary Tree
  • Julia: Opelt, Pinz, Zisserman, Incremental learning of object detectors using a visual shape alphabet
  • Kenji: Ling, Okada. Diffusion Distance for Histogram Comparison
• June 30: Best of ECCV:
  • Scott: Jamie Shotton, John Winn, Carsten Rother, and Antonio Criminisi, TextonBoost: Joint Appearance, Shape and Context Modeling for Multi-class Object Recognition and Segmentation
  • Scott: Andreas Opelt, Axel Pinz, and Andrew Zisserman, A Boundary-Fragment-Model for Object Detection
  • Per-Erik: Liran Goshen and Ilan Shimshoni, Balanced Exploration and Exploitation Model Search for Efficient Epipolar Geometry Estimation
  • Per-Erik: Josephine Sullivan and Stefan Carlsson, Tracking and Labelling of Interacting Multiple Targets
  • Julia: Xiaofeng Ren, Charless C. Fowlkes, and Jitendra Malik, Figure/Ground Assignment in Natural Images
  • Julia: Anat Levin and Yair Weiss, Learning to Combine Bottom-Up and Top-Down Segmentation
  • Jim: Hanzi Wang, David Suter, and Konrad Schindler, Effective Appearance Model and Similarity Measure for Particle Filtering and Visual Tracking
  • Jim: Matthieu Bray, Pushmeet Kohli, and Philip H.S. Torr, PoseCut: Simultaneous Segmentation and 3D Pose Estimation of Humans Using Dynamic Graph-Cuts
  • Jim: Mustafa Özuysal, Vincent Lepetit, François Fleuret, and Pascal Fua, Feature Harvesting for Tracking-by-Detection
• June 23: Per-Erik: Herbert Bay, Tinne Tuytelaars, Luc Van Gool, SURF: Speeded Up Robust Features. ECCV 2006
• May 26: Ruben: Ruben Martinez-Cantin, Jose A Castellanos, Bounding Uncertainty in EKF-SLAM: The Robocentric Local Approach ICRA 2006
• May 26: Albert: Wesgrid grid computing.
• May 19: Tristram: Oblivion demo and discussion on ontologies.
• May 12: Rob, Julia, Kevin M: E. Sudderth, A. Torralba, W. T. Freeman, and A. Wilsky. Depth from Familiar Objects: A Hierarchical Model for 3D Scenes. CVPR 2006
• May 5: Derek Hoiem, Alexei A. Efros, Martial Hebert, Putting Objects in Perspective. CVPR 2006
• April 28: Ken Alton: Ken Alton and Ian Mitchell, Optimal Path Planning under Different Norms in Continuous State Spaces. ICRA 2006
• April 20: Practise talk by Rob
• April 7: Dimitri Marinakis, Gregory Dudek, A Practical Algorithm for Network Topology Inference. ICRA 2006, later also Anne Francis Forbidden Planet
• March 24: Peter M. Roth, Michael Donoser, Horst Bischof, Tracking for Learning an Object Representation from Unlabeled Data. CVWW 2006
• Catherine Laporte, Rupert Brooks, Tal Arbel, A fast discriminant approach to active object recognition and pose estimation. ICPR 2004
• Kenji: Shai Avidan, Ensemble Tracking. CVPR 2005
• Feb 24: Kevin M: Computer Vision in the Movies
• Feb 1: S. Obdrzálek and J. Matas. Sub-linear indexing for large scale object recognition. BMVC 2005
• Jan 19: Rob and Pantelis: Robot hardware.

Old stuff below

• Rob: the robotics and attention papers (I'll discuss each of these very briefly)
  • Grand Challenge Vision (Thrun, et al)
  • Bayesian Surprise Attracts Human Attention (Itti & Baldi)
  • Saliency Based on Information Maximization (Bruce & Tsotsos)
  • Radial Basis Function Networks for Multi-task Learning (Liao & Carin)
  • Off-Road Obstacle Avoidance Through End-to-End Learning (LeCun, Muller et al)
  • Hierarchical Linear/Constant Time SLAM Using Particle Filters for Dense Maps (Parr & Eliazar)

• Rob: the robotics and attention papers (Thrun, LeCun, Tsotsos, Parr, Itti)

• Polygonal Random Fields work by Mark Paskin @ Stanford.
• Andrew Ng's NIPS paper on learning helicopter control.
• Some good papers on AUV's (autonomous underwater vehicles)
• HRI papers specifically surveying safety issues.
• Ian Mitchell to present his recent work.
• A broader discussion of the open problems in robotics.
• Probabilistic Roadmaps, Kavraki et al.

• Fast Learning of Sprites using Invariant Fetaures, Moray Allan, Michalis K. Titsias, Christopher K. I. Williams. In Proc. British Machine Vision Conference 2005 (BMVC 2005). pdf

• C.-C. Wang, C. Thorpe and S. Thrun. Online Simultaneous Localization and Mapping with Detection and Tracking of Moving Objects: Theory and Results from a Ground Vehicle in Crowded Urban Areas. In IEEE International Conference on Robotics and Automation (ICRA'03), May, 2003. Finalist for the Best Student Paper Award & for the Wegbreit Best Vision Paper Award, pdf

• Searching in the plane, R.A. Baeza-Yates, J. Culberson, G.J.E. Rawlins. Information and Computation 106(2), 234-252 (1993). A classic paper on optimal search algorithms in 2-space. pdf

• Subjective localization with action respecting embedding, Michael Bowling, Dana Wilkinson, Ali Ghodsi, and Adam Milstein. In Proceedings of the International Symposium of Robotics Research , 2005. pdf abstract
• An MCMC-based Particle Filter for Tracking Multiple Interacting Targets, Zia Khan, Tucker Balch, Frank Dellaert. pdf abstract
• Bayesian Video Matting Using Learnt Image Priors, N.E. Apostoloff and A.W. Fitzgibbon, CVPR 2004 pdf abstract

The Robuddies reading group happens every Monday afternoon at 3:30.

Upcoming and recent discussion groups:

Paper suggestions:

Previous papers:

* Jan 10, 2004: We'll meet in room 202. Paper: Spacetime Faces: High-Resolution Capture for Modeling and Animation Li Zhang, Noah Snavely, Brian Curless, and Steven M. Seitz URL: http://grail.cs.washington.edu/projects/stfaces/

* Dec 10, 2004: ** Paper: Gap Navigation Trees: Minimal Representation for Visibility-based Tasks URL: http://btovar.net/research/research.html , Steven M. LaValle. ** Robot name proposals: Nelson, Cartman, Brutus, Eve, Donbot, Manos, Cleo, Clamps

* Dec 3, 2004: Cancelled.

* Nov 26, 2004: We'll demo the new robot.

* Nov 19, 2004: Belief Propagation for Early Vision, Pedro Felzenszwalb & Daniel P. Huttenlocher

-- Main.simra - 22 Sep 2005