Mathematical Sciences

School of Natural Sciences & Mathematics

Image and Signal Analysis Journal Club

Fall 2021 – Spring 2022

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 fall 2021, the journal club meets on Tuesdays at 10:00-10:50 am in Microsoft Teams.

Archive of talks from previous semesters

Date

Speaker

Title

Paper

Dec. 7, 2021 Tian Jiang Graph Neural Networks A Comprehensive Survey on Graph Neural Networks, Wu et al, IEEE Transactions on Neural Networks and Learning Systems, Vol. 32 (1), 2021.
Nov. 30, 2021 Jianpeng Cao Stochastic financial model calibration in the context of image analysis Model Calibration with Neural Networks, Andres Hernandez 

Nov. 16, 2021 Krishna Kalluri Quantum Signal Processing Quantum Signal Processing, Eldar and Oppenheim, IEEE Signal Processing Magazine, Vol. 19 (6), 2002.
Nov. 9, 2021 Mengqi Hu A General Framework of Non-convex Models for Sparse Recovery with Applications.  
Nov. 2, 2021 Richa Rawat Longitudinal Self-Supervised Learning Longitudinal Self-Supervised learning, Zhao, Liu, Adeli and Pohl, 2021. https://arxiv.org/abs/2006.06930
Oct. 26, 2021 Russell Hart Semi-supervised Learning on Graph-structured Data with  Graph Convolutional Networks Semi-Supervised Classification with Graph Convolutional Networks, Kipf and Welling, ICLR 2017. https://arxiv.org/abs/1609.02907
Oct. 19, 2021 Aprajita Singh SLIC Superpixels Superpixels Compared to State-of-the-Art Superpixel Methods, Achanta et al, IEEE PAMI, 34(11),  2274-2281, 2012.
Oct 5, 2021   Organization meeting