Classification of electroencephalography (EEG) signals for different mental activities using Kullback Leibler (KL) divergence. - Anjum Gupta; Shibin Parameswaran; Cheng-Han Lee (ICASSP, 2009)

Large Margin Multi-Task Metric Learning. - Shibin Parameswaran; Kilian Q. Weinberger (NIPS, 2010)

Machine Learning for Author Affiliation within Web Forums - Using Statistical Techniques on NLP Features for Online Group Identification. - Jeffrey Ellen; Shibin Parameswaran (ICMLA (1), 2011)

Implicit Group Membership Detection in Online Text: Analysis and Applications. - Jeffrey Ellen; Joan L. Kaina; Shibin Parameswaran (SBP, 2012)

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 (Video Surveillance and Transportation Imaging Applications, 2015)

Fast External Denoising Using Pre-Learned Transformations. - Shibin Parameswaran; Enming Luo; Charles-Alban Deledalle; Truong Q. Nguyen (CVPR Workshops, 2017)

Targeted video denoising for decompressed videos. - Shibin Parameswaran; Enming Luo; Truong Q. Nguyen (ICIP, 2017)

Image restoration with generalized Gaussian mixture model patch priors. - Charles-Alban Deledalle; Shibin Parameswaran; Truong Q. Nguyen (CoRR, 2018)

Image Denoising with Generalized Gaussian Mixture Model Patch Priors. - Charles-Alban Deledalle; Shibin Parameswaran; Truong Q. Nguyen (SIAM J. Imaging Sci., 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)

Efficient Methods for Image Denoising using Learned Patch Priors. - Shibin Parameswaran (2018)

Exploring Efficient and Tunable Convolutional Blind Image Denoising Networks. - Martin Jaszewski; Shibin Parameswaran (AIPR, 2019)

SRC3: A Video Dataset for Evaluating Domain Mismatch. - Jonathan Sato; Chelsea Mediavilla; Chris M. Ward; Shibin Parameswaran (AIPR, 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)

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)

Real-Time Event-Based Tracking and Detection for Maritime Environments. - Stephanie Aelmore; Richard C. Ordonez; Shibin Parameswaran; Justin Mauger (AIPR, 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 (AIPR, 2021)

Maritime Object Detection with Event-Based Cameras. - Elan Sharghi; Jacob Rodriguez; Justin Mauger; Martin Jaszewski; Shibin Parameswaran (AIPR, 2022)

U-Deepdig: Scalable Deep Decision Boundary Instance Generation. - Jane Berk; Martin Jaszewski; Charles-Alban Deledalle; Shibin Parameswaran (ICIP, 2022)

Investigation of moving objects through atmospheric turbulence from a non-stationary platform. - Nicholas B. Ferrante; Jérôme Gilles; Shibin Parameswaran (CoRR, 2024)

Out-of-Distribution Learning with Human Feedback. - Haoyue Bai 001; Xuefeng Du; Katie Rainey; Shibin Parameswaran; Yixuan Li 001 (Trans. Mach. Learn. Res., 2025)