Hauptseminar/Master Seminar:
Machine Learning Methods for Computer Vision Applications
Nassir Navab, Olivier Pauly, Diana Mateus, Slobodan Ilic
Type: Advanced Seminar Course
Module IN8901
Type: Master Seminar
Module IN2107
Type: Seminar
Module IN0014
SWS: 2+0
ECTS: 4 Credits
Location: MI 03.13.010
Time Schedule is available.
Course Language: English
Announcements
- 10th December: No seminar today!
- Papers list is available! First arrived first served.
- Introduction information meeting on Monday 24th of September at 13.00
- The detailed schedule will be announced soon.
- All participants, please register for the seminar in TUMonline and send a mail to Olivier Pauly () including your name, your birthday, program of study and Matrikelnummer.
- Maximum number of participants: 20
Requirements
In this Master Seminar (formerly Hauptseminar), each student is asked to select one topic from the list below. In order to successfully complete the seminar, participants have to fulfill these requirements:
- Presentation: The selected paper is presented to the other participants (20 minutes presentation 10 minutes questions). Use the CAMP templates for PowerPoint CAMPmaster.pot, or Latex: CAMP-latex-template.zip.
- Written Handout: A document of maximum 8 pages is written and submitted one week after the presentation. Please download and use the llncs2e.zip Latex template.
- Attendance: Participants have to participate actively in all seminar sessions.
Each presentation is followed by a discussion and everyone is encouraged to actively participate. The handout must include all references used and must be written
completely in your own words. Copy and paste wont be tolerated. Both handout and presentation have to be done in
English.
Presentation Topics
- (Taken) Decision Forests for Tissue-specific Segmentation of High-grade Gliomas in Multi-channel MR , D. Zikic, B. Glocker, E. Konukoglu, A. Criminisi, C. Demiralp, J. Shotton, O. Thomas, T. Das, R. Jena, S. Price, MICCAI 2012
- Domain Transfer Learning for MCI Conversion Prediction, B. Cheng, D. Zhang, D. Shen, MICCAI 2012
- (Taken) Integration of local and global features for anatomical object detection in ultrasound, B. Rahmatullah, A. Papageorghiou, A. Noble, MICCAI 2012
- Automatic Detection and Segmentation of Kidneys in 3D CT Images Using Random Forests, R. Cuingnet, R. Prevost, D. Lesage, L. Cohen, B. Mory, R. Ardon, MICCAI 2012
- Hierarchical Conditional Random Fields for Detection of Gad-enhancing Lesions in Multiple Sclerosis, Z. Karimaghaloo, D. L. Arnold, D. L. Collins, T. Arbel, MICCAI 2012
- (Taken) Deriving statistical significance maps for SVM based image classification and group comparisons, Bilwaj Gaonkar, Christos Davatzikos, MICCAI 2012
- Multi-organ Abdominal CT Segmentation using hierarchically weighted Subject-specific Atlases, Robin Wolz, Chu Chengwen, Kazunari Misawa, Kensaku Mori, Daniel Rueckert, MICCAI 2012
- Identifying sub-populations via unsupervised cluster analysis on multi-edge similarity graphs, Madhura Ingalhalikar, Alex R Smith, William A Parker, Luke Bloy, Ruben Gur, Timothy P.L Roberts, Ragini Verma, MICCAI 2012
- (Taken) Precise Segmentation of Multiple Organs in CT Volumes Using Learning-based Approach and Information Theory, Chao Lu, Yefeng Zheng, Neil Birkbeck, Jingdan Zhang, Thomas Boettger, Christian Tietjen, James S Duncan, S. Kevin Zhou, MICCAI 2012
- Hierarchical manifold learning, Kanwal Bhatia, Anil Rao, Anthony Price, Robin Wolz, Joseph Hajnal, Daniel Rueckert, MICCAI 2012
- (Taken) Neighborhood Approximation Forests, Ender Konukoglu, Ben Glocker, Darko Zikic, Antonio Criminisi, MICCAI 2012
- Meta-analysis of image databases by transfer-learning: prediction and inference, Yannick Schwartz, Gael Varoquaux, Philippe Pinel, Christophe Pallier, Jean-Baptiste Poline, Bertrand Thirion, MICCAI 2012
- (Taken) Automatic Localization and Identification of Vertebrae in Arbitrary Field-of-View CT Scans, Ben Glocker, Johannes Feulner, Antonio Criminisi, David R. Haynor, Ender Konukoglu , MICCAI 2012
- (Taken) Structured Image Segmentation using Kernelized Features, Aurelien Lucchi ; Yunpeng Li; Kevin Smith; Pascal Fua, ECCV 2012
- (Taken) Crosstalk Cascades for Frame-Rate Pedestrian Detection, Piotr Dollar ; Ron Appel; Wolf Kienzle, ECCV 2012
- (Taken) Latent Hough Transform for Object Detection, Nima Razavi ; Juergen Gall; Pushmeet Kohli; Luc Van Gool, ECCV 2012
- Attributes for classifier feedback, Amar Prakash; Devi Parikh, ECCV 2012
- (Taken) Constrained Semi-Supervised Learning using Attributes and Comparative Attributes, Abhinav Shrivastava ; Saurabh Singh; Abhinav Gupta, ECCV 2012
- (Taken) Activity Forecasting, Kris Kitani ; James Bagnell; Martial Hebert, ECCV 2012
- Random Forest for Image Annotation, Hao Fu ; Qian Zhang; Guoping Qiu, ECCV 2012
- 3D PM – 3D Deformable Part Models, Bojan Pepik ; Peter Gehler; Michael Stark; Bernt Schiele, ECCV 2012
- (Taken) Hand Pose Estimation and Hand Shape Classification using Multi-layered Randomized Decision Forests, Cem Keskin ; Furkan Kıraç; Yunus Emre Kara; Lale Akarun, ECCV 2012
- (Taken) Robust and Accurate Shape Model Fitting using Random Forest Regression Voting, Tim Cootes ; Mircea Ionita; Claudia Lindner; Patrick Sauer, ECCV 2012
- Incorporating Parameter Uncertainty in Bayesian Segmentation Models: Application to Hippocampal Subfield Volumetry, Juan Eugenio Iglesias, Mert Rory Sabuncu, Koen Van Leemput, MICCAI 2012
- PatchMatchGraph: Building a Graph of Dense Patch Correspondences for Label Transfer, Stephen Gould and Yuhang Zhang, ECCV 2012
- Dimensionality Reduction and Principal Surfaces via Kernel Map Manifolds, Gerber, S; Tasdizen, T; Whitaker, R, ICCV 2011
- Deformable Segmentation via Sparse Representation and Dictionary Learning.Shaoting Zhang, Yiqiang Zhan, Dimitris N. MetaxasMIA 2012
- Background Subtraction using Group Sparsity and Low Rank Constraint. Xinyi Cui, Junzhou Huang, Shaoting Zhang and Dimitris N. Metaxas
ECCV 2012,
- Shape Prior Modeling using Sparse Representation and Online Dictionary Learning. Shaoting Zhang, Yiqiang Zhan, Yan Zhou, Mustafa Uzunbas, Dimitris N. Metaxas MICCAI, 2012
- Dictionary Learning on Riemannian Manifolds. Yuchen Xie, Baba C., Vemuri. MICCAI 2012, Workshop
Schedule
The seminar consists of a preliminary meeting, an introductory meeting and seminar sessions. Each of the sessions will consist of several student presentations. All seminar participants are expected to be present at every session and to actively participate in the discussion.
Literature and Helpful Links
A lot of scientific publications can be found online.
The following list may help you to find some further information on your particular topic:
Some publishers:
Libraries (online and offline):
Some further hints for working with references:
- JabRef is a Java program for comfortable working with Bibtex literature databases. Handy feature: if you know the PubMed ID for an article, JabRef can import data from there (via "Web Search/Medline").
- Mendeley is a cross-platform program for organising your references.
If you find useful resources that are not already listed here, please tell us, so we can add them for others. Thanks.
