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This page lists papers and other topics of interest for the weekly MIR seminar.
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For Spring 2003, the seminar meets Mondays from 10:00-11:00am in CS 343.
Monday, July 27th
- Toni will practice his ICDAR presentation of T. Rath and R. Manmatha: Features for Word Spotting in Historical Manuscripts PDF. Your comments are very welcome!
Monday, July 20th
- We will finish the discussion of last Monday's paper (Weber et al.).
Monday, July 13th
- Today's paper is M. Weber, M. Welling and P. Perona: Unsupervised Learning of Models for Recognition PDF.
Monday, July 6th
- We will give last Monday's paper (Fergus et al. 2003) another try.
Monday, June 30th
- We will read R. Fergus, P. Perona and A. Zisserman: Object class recognition by unsupervised scale-invariant learning (best paper award at CVPR'03) PDF.
Monday, June 23rd
- no meeting (CVPR and DIAR)
Monday, June 16th
- Toni will give a practice talk for the presentation of J. Rothfeder, S. Feng and T. M. Rath: Using Corner Feature Correspondences to Rank Word Images by Similarity at the DIAR-03 workshop PDF.
Monday, June 9th
- We will read Henry Schneiderman and Takeo Kanade, "A Statistical Method for 3D Object Detection Applied to Faces and Cars", PDF
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In Fall 2004, the seminars are Thursdays from 1:30-2:30 in CS343.
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Monday, June 2nd
- We will read Kobus Barnard, Pinar Duygulu, Raghavendra Guru, Prasad Gabbur, and David Forsyth, "The effects of segmentation and feature choice in a translation model of object recognition" , Computer Vision and Pattern Recognition, 2003 (to appear). PDF
Monday, May 11th
- We will read G. Mori and J. Malik: "Recognizing Objects in Adversarial Clutter: Breaking a Visual CAPTCHA" PDF
Monday, May 4th
- We were discussing ongoing research.
Monday, April 28th
- We will finally read Rong Jin, ChengXiang Zhai, Alex G. Hauptmann, "Information Retrieval for OCR Documents: A Content-based Probabilistic Correction Model" PDF
Monday, April 21st
Monday, April 14th
- Rong Jin, ChengXiang Zhai, Alex G. Hauptmann, "Information Retrieval for OCR Documents: A Content-based Probabilistic Correction Model" PDF
- We will discuss the proof of equation (6) in the paper of previous week.
Monday, April 7th
- Rong Jin and Alex G. Hauptmann, "Using a Probabilistic Source Model for Comparing Images" PDF
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Fall 2004 Papers and Discussion Topics
- October 28: E. Hadjidemetriou, M. D. Grossberg and S. K. Nayar: Multiresolution Histograms and Their Use for Recognition. IEEE Trans. on Pattern Analysis and Machine Intelligence 26:7 2004 PDF.
- October 21: E. G. Miller, N. E. Matsakis and P. A. Viola: Learning from One Example Through Shared Densities on Transforms. In: Proc. of the Conference on Computer Vision and Pattern Recognition 2000 PDF.
- October 14: Nick Howe talked about his work on boosting to improve the recognition of handwritten historical documents.
Spring 2003 Papers
- T. M. Rath and R. Manmatha: Features for Word Spotting in Historical Manuscripts PDF.
- M. Weber, M. Welling and P. Perona: Unsupervised Learning of Models for Recognition PDF.
- R. Fergus, P. Perona and A. Zisserman: Object class recognition by unsupervised scale-invariant learning (best paper award at CVPR'03) PDF.
- J. Rothfeder, S. Feng and T. M. Rath: Using Corner Feature Correspondences to Rank Word Images by Similarity at the DIAR-03 workshop PDF.
- Henry Schneiderman and Takeo Kanade: A Statistical Method for 3D Object Detection Applied to Faces and Cars PDF
- Kobus Barnard, Pinar Duygulu, Raghavendra Guru, Prasad Gabbur, and David Forsyth: The effects of segmentation and feature choice in a translation model of object recognition. Computer Vision and Pattern Recognition, 2003. PDF
- G. Mori and J. Malik: Recognizing Objects in Adversarial Clutter: Breaking a Visual CAPTCHA PDF
- Rong Jin, ChengXiang Zhai, Alex G. Hauptmann: Information Retrieval for OCR Documents: A Content-based Probabilistic Correction Model PDF
- Rong Jin and Alex G. Hauptmann: Using a Probabilistic Source Model for Comparing Images PDF
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