Shibin Parameswaran

According to our database, Shibin Parameswaran authored at least 20 papers between 2009 and 2024.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of four.

2024

Out-of-Distribution Learning with Human Feedback.

Haoyue Bai, Xuefeng Du, Katie Rainey, Shibin Parameswaran, Yixuan Li

CoRR, 2024

2022

U-Deepdig: Scalable Deep Decision Boundary Instance Generation.

Jane Berk, Martin Jaszewski, Charles-Alban Deledalle, Shibin Parameswaran

Proceedings of the 2022 IEEE International Conference on Image Processing, 2022

Maritime Object Detection with Event-Based Cameras.

Elan Sharghi, Jacob Rodriguez, Justin Mauger, Martin Jaszewski, Shibin Parameswaran

Proceedings of the 51st IEEE Applied Imagery Pattern Recognition Workshop, 2022

2021

Effects of data preparation, training and testing choices on classifier performance: Case study in ship classification.

Elan Sharghi, Peter Thung, Jane Berk, Arne Odland, Shibin Parameswaran

Proceedings of the 50th IEEE Applied Imagery Pattern Recognition Workshop, 2021

Real-Time Event-Based Tracking and Detection for Maritime Environments.

Stephanie Aelmore, Richard C. Ordonez, Shibin Parameswaran, Justin Mauger

Proceedings of the 50th IEEE Applied Imagery Pattern Recognition Workshop, 2021

2019

Accelerating GMM-Based Patch Priors for Image Restoration: Three Ingredients for a 100× Speed-Up.

Shibin Parameswaran, Charles-Alban Deledalle, Loïc Denis, Truong Q. Nguyen

IEEE Trans. Image Process., 2019

Image quality assessment for determining efficacy and limitations of Super-Resolution Convolutional Neural Network (SRCNN).

Chris M. Ward, Josh Harguess, Brendan Crabb, Shibin Parameswaran

CoRR, 2019

SRC3: A Video Dataset for Evaluating Domain Mismatch.

Jonathan Sato, Chelsea Mediavilla, Chris M. Ward, Shibin Parameswaran

Proceedings of the 48th IEEE Applied Imagery Pattern Recognition Workshop, 2019

Exploring Efficient and Tunable Convolutional Blind Image Denoising Networks.

Martin Jaszewski, Shibin Parameswaran

Proceedings of the 48th IEEE Applied Imagery Pattern Recognition Workshop, 2019

2018

Efficient Methods for Image Denoising using Learned Patch Priors.

Shibin Parameswaran

PhD thesis, 2018

Patch Matching for Image Denoising Using Neighborhood-Based Collaborative Filtering.

Shibin Parameswaran, Enming Luo, Truong Q. Nguyen

IEEE Trans. Circuits Syst. Video Technol., 2018

Image Denoising with Generalized Gaussian Mixture Model Patch Priors.

Charles-Alban Deledalle, Shibin Parameswaran, Truong Q. Nguyen

SIAM J. Imaging Sci., 2018

Image restoration with generalized Gaussian mixture model patch priors.

Charles-Alban Deledalle, Shibin Parameswaran, Truong Q. Nguyen

CoRR, 2018

2017

Targeted video denoising for decompressed videos.

Shibin Parameswaran, Enming Luo, Truong Q. Nguyen

Proceedings of the 2017 IEEE International Conference on Image Processing, 2017

Fast External Denoising Using Pre-Learned Transformations.

Shibin Parameswaran, Enming Luo, Charles-Alban Deledalle, Truong Q. Nguyen

Proceedings of the 2017 IEEE Conference on Computer Vision and Pattern Recognition Workshops, 2017

2015

Evaluation of maritime object detection methods for full motion video applications using the PASCAL VOC Challenge framework.

Martin Jaszewski, Shibin Parameswaran, Eric Hallenborg, Bryan Bagnall

Proceedings of the Video Surveillance and Transportation Imaging Applications 2015, 2015

2012

Implicit Group Membership Detection in Online Text: Analysis and Applications.

Jeffrey Ellen, Joan L. Kaina, Shibin Parameswaran

Proceedings of the Social Computing, Behavioral - Cultural Modeling and Prediction, 2012

2011

Machine Learning for Author Affiliation within Web Forums - Using Statistical Techniques on NLP Features for Online Group Identification.

Jeffrey Ellen, Shibin Parameswaran

Proceedings of the 10th International Conference on Machine Learning and Applications and Workshops, 2011

2010

Large Margin Multi-Task Metric Learning.

Shibin Parameswaran, Kilian Q. Weinberger

Proceedings of the Advances in Neural Information Processing Systems 23: 24th Annual Conference on Neural Information Processing Systems 2010. Proceedings of a meeting held 6-9 December 2010, 2010

2009

Classification of electroencephalography (EEG) signals for different mental activities using Kullback Leibler (KL) divergence.

Anjum Gupta, Shibin Parameswaran, Cheng-Han Lee

Proceedings of the IEEE International Conference on Acoustics, 2009