Yijing Watkins

According to our database, Yijing Watkins authored at least 15 papers between 2018 and 2026.

Collaborative distances:

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

2026

Seeing Beyond Redundancy: Task Complexity's Role in Vision Token Specialization in VLLMs.

Darryl Hannan, John Cooper, Dylan White, Yijing Watkins

CoRR, February, 2026

2025

FMG-Det: Foundation Model Guided Robust Object Detection.

Darryl Hannan, Timothy Doster, Henry Kvinge, Adam Attarian, Yijing Watkins

CoRR, May, 2025

Foundation Models for Remote Sensing: An Analysis of MLLMs for Object Localization.

Darryl Hannan, John Cooper, Dylan White, Timothy Doster, Henry Kvinge, Yijing Watkins

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition Workshops, 2025

2024

Event-To-Video Conversion for Overhead Object Detection.

Darryl Hannan, Ragib Arnab, Gavin Parpart, Garrett T. Kenyon, Edward Kim, Yijing Watkins

Proceedings of the IEEE Southwest Symposium on Image Analysis and Interpretation, 2024

2023

ColMix - A Simple Data Augmentation Framework to Improve Object Detector Performance and Robustness in Aerial Images.

Cuong Ly, Grayson Jorgenson, Dan Rosa de Jesus, Henry Kvinge, Adam Attarian, Yijing Watkins

CoRR, 2023

Implementing and Benchmarking the Locally Competitive Algorithm on the Loihi 2 Neuromorphic Processor.

Gavin Parpart, Sumedh R. Risbud, Garrett T. Kenyon, Yijing Watkins

Proceedings of the 2023 International Conference on Neuromorphic Systems, 2023

2022

Universal Fourier Attack for Time Series.

Elizabeth Coda, Brad Clymer, Chance N. DeSmet, Yijing Watkins, Michael Girard

CoRR, 2022

Dictionary Learning with Accumulator Neurons.

Gavin Parpart, Carlos González Rivera, Terrence C. Stewart, Edward Kim, Jocelyn Rego, Andrew O'Brien, Steven C. Nesbit, Garrett T. Kenyon, Yijing Watkins

Proceedings of the ICONS 2022: International Conference on Neuromorphic Systems, Knoxville, TN, USA, July 27, 2022

Think Fast: Time Control in Varying Paradigms of Spiking Neural Networks.

Steven C. Nesbit, Andrew O'Brien, Jocelyn Rego, Gavin Parpart, Carlos González Rivera, Garrett T. Kenyon, Edward Kim, Terrence C. Stewart, Yijing Watkins

Proceedings of the ICONS 2022: International Conference on Neuromorphic Systems, Knoxville, TN, USA, July 27, 2022

2021

Digital Signal Processing Using Deep Neural Networks.

Brian Shevitski, Yijing Watkins, Nicole Man, Michael Girard

CoRR, 2021

2020

Using Sinusoidally-Modulated Noise as a Surrogate for Slow-Wave Sleep to Accomplish Stable Unsupervised Dictionary Learning in a Spike-Based Sparse Coding Model.

Yijing Watkins, Edward Kim, Andrew Sornborger, Garrett T. Kenyon

Proceedings of the 2020 IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2020

Modeling Biological Immunity to Adversarial Examples.

Edward Kim, Jocelyn Rego, Yijing Watkins, Garrett T. Kenyon

Proceedings of the 2020 IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2020

2019

Unsupervised Dictionary Learning via a Spiking Locally Competitive Algorithm.

Yijing Watkins, Austin Thresher, Peter F. Schultz, Andreas Wild, Andrew Sornborger, Garrett T. Kenyon

Proceedings of the International Conference on Neuromorphic Systems, 2019

2018

Image Compression: Sparse Coding vs. Bottleneck Autoencoders.

Yijing Watkins, Oleksandr Iaroshenko, Mohammad Sayeh, Garrett T. Kenyon

Proceedings of the 2018 IEEE Southwest Symposium on Image Analysis and Interpretation, 2018

Can Deep Learning Learn the Principle of Closed Contour Detection?

Xinhua Zhang, Yijing Watkins, Garrett T. Kenyon

Proceedings of the Advances in Visual Computing - 13th International Symposium, 2018