Fall 2019 – Spring 2020 Image and Signal Analysis Journal Club Archive
This seminar is organized by Drs. Cao and Lou. If you have questions about this seminar please contact Dr. Yan Cao. The members include both graduate and undergraduate students. Each week one of the students presents a paper in the field of image and signal analysis of his/her interest. The chosen paper will be announced prior to the meeting. The goal of the journal club is to introduce graduate and undergraduate students to image and signal analysis research and create an open venue for friendly but lively scientific discussion.
In Spring 2020, the journal club meets on Tuesdays at 12-12:50pm in CB3 1.314.
In Fall 2019, the journal club meets on Thursdays at 10-10:50am in GR4.208.
| Date | Speaker | Title | Paper |
|---|---|---|---|
| August 29 | Organization meeting | ||
| September 12 | Aprajita Singh | Ridge Detection | An Unbiased Detector of Curvilinear Structures, Carsten Steger, IEEE Transactions on Pattern Analysis and Machine Intelligence, Vol 20, No. 2, 113-125, 1998. |
| September 19 | Mengqi Hu | Sparse Recovery Methods for Topology Error Detection in Power Systems | |
| September 26 | Esau Hervert | Using Reinforcement Learning to Learn the Hyperparameters of a Neural Network | Neural Architecture Search with Reinforcement Learning, B. Zoph and Q.V. Le, arXiv:1611.01578. |
| October 3 | Rajendra Khatri | Cell Nuclei Segmentation Using Dilated Convolutional Networks |
|
| October 10 | Mujibur Chowdhury | Blind and Non-Blind Image Deconvolution |
Blind Image Deconvolution, D. Kundur and D. Hatzinakos, IEEE Signal Processing Magazine, Vol 13, 43-64, 1996. Total Variation Blind Deconvolution: The Devil is in the Details, D. Perrone and P. Favaro, IEEE CVPR, 2014. |
| October 17 | Ziad Ghanew | projection based model reduction methods and their connections to image analysis | A Survey of Projection-Based Model Reduction Methods for Parametric Dynamical Systems, P. Benner, S. Gugercin, K. Willcox, SIAM Review, Vol 57 (4), pp. 483-531, 2015. |
| October 24 | Siyuan Wang | Image Registration and PCA on Lung Cells | A Lagrangian Gauss-Newton-Krylov Solver for Mass- and Intensity-Preserving Diffeomorphic Image Registration, A. Mang and L. Ruthotto, SIAM. J. Sci. Computing, Vol. 39 (5), pp. B860-B888, 2017. |
| October 31 | Richa Rawat | Handling Class Imbalance in Deep learning | Survey on deep learning with class imbalance, J.M. Johnson and T. M. Khoshgoftaar, Journal of Big Data, 2019. |
| November 7 | Michael Ta | An adaptive decorrelation method removes Illumina DNA base-calling errors caused by crosstalk between adjacent clusters | An adaptive decorrelation method removes Illumina DNA base-calling errors caused by crosstalk between adjacent clusters, B. Wang, L. Wan, A. Wang and L. M. Li, Scientific Reports, 2017. |
| November 14 | Yangxiao Lu | Modified Fully Convolutional Network for Semantic Segmentation of Cracks | |
| November 21 | Le Han | Noisy tensor decomposition with average rank and zero norm | |
| January 21 | Organization meeting | ||
| February 4 |
Mujibur Chowdhury and Rajendra Khatri | Introduction to Python distribution (Anaconda), MATLAB deep learning toolbox etc |
|
| February 11 |
Russell Hart and Esau Hervert |
Introduction to TensorFlow, Pytorch | |
| February 18 |
Tian Jiang and Mujibur Chowdhury | Introduction to TensorFlow with an image segmentation example | Segnet: A deep convolutional encoder-decoder architecture for image segmentation, V. Badrinarayanan, A. Kendall, and R. Cipolla. IEEE transactions on pattern analysis and machine intelligence 39.12 (2017): 2481-2495. U-Net: Convolutional networks for biomedical image segmentation, O. Ronneberger, P. Fischer, and T. Brox. MICCAI 2015. arXiv:1505.04597 (2015). |
| February 25 | Huan Lei | linear discriminant analysis and quadratic discriminant analysis | |
| March 3 | Esau Hervert | Reinforcement Learning | |
| March 31 |