Yijing Watkins

Publication Activity (10 Years)

Years Active: 2017-2024
Publications (10 Years): 16

Top Topics

Contour Detection

Dictionary Learning

Top Venues

Publications

Darryl Hannan, Ragib Arnab, Gavin Parpart, Garrett T. Kenyon, Edward Kim, Yijing Watkins
Event-to-Video Conversion for Overhead Object Detection. CoRR (2024)
Darryl Hannan, Ragib Arnab, Gavin Parpart, Garrett T. Kenyon, Edward Kim, Yijing Watkins
Event-To-Video Conversion for Overhead Object Detection. SSIAI (2024)
Gavin Parpart, Sumedh R. Risbud, Garrett T. Kenyon, Yijing Watkins
Implementing and Benchmarking the Locally Competitive Algorithm on the Loihi 2 Neuromorphic Processor. ICONS (2023)
Gavin Parpart, Sumedh R. Risbud, Garrett T. Kenyon, Yijing Watkins
Implementing and Benchmarking the Locally Competitive Algorithm on the Loihi 2 Neuromorphic Processor. CoRR (2023)
Cuong Ly, Grayson Jorgenson, Dan Rosa de Jesus, Henry Kvinge, Adam Attarian, Yijing Watkins
ColMix - A Simple Data Augmentation Framework to Improve Object Detector Performance and Robustness in Aerial Images. CoRR (2023)
Gavin Parpart, Carlos González Rivera, Terrence C. Stewart, Edward Kim, Jocelyn Rego, Andrew O'Brien, Steven Nesbit, Garrett T. Kenyon, Yijing Watkins
Dictionary Learning with Accumulator Neurons. ICONS (2022)
Steven C. Nesbit, Andrew O'Brien, Jocelyn Rego, Gavin Parpart, Carlos González Rivera, Garrett T. Kenyon, Edward Kim, Terrence C. Stewart, Yijing Watkins
Think Fast: Time Control in Varying Paradigms of Spiking Neural Networks. ICONS (2022)
Gavin Parpart, Carlos González Rivera, Terrence C. Stewart, Edward Kim, Jocelyn Rego, Andrew O'Brien, Steven C. Nesbit, Garrett T. Kenyon, Yijing Watkins
Dictionary Learning with Accumulator Neurons. CoRR (2022)
Elizabeth Coda, Brad Clymer, Chance N. DeSmet, Yijing Watkins, Michael Girard
Universal Fourier Attack for Time Series. CoRR (2022)
Brian Shevitski, Yijing Watkins, Nicole Man, Michael Girard
Digital Signal Processing Using Deep Neural Networks. CoRR (2021)
Yijing Watkins, Edward Kim, Andrew Sornborger, Garrett T. Kenyon
Using Sinusoidally-Modulated Noise as a Surrogate for Slow-Wave Sleep to Accomplish Stable Unsupervised Dictionary Learning in a Spike-Based Sparse Coding Model. CVPR Workshops (2020)
Edward Kim, Jocelyn Rego, Yijing Watkins, Garrett T. Kenyon
Modeling Biological Immunity to Adversarial Examples. CVPR (2020)
Yijing Watkins, Austin Thresher, Peter F. Schultz, Andreas Wild, Andrew Sornborger, Garrett T. Kenyon
Unsupervised Dictionary Learning via a Spiking Locally Competitive Algorithm. ICONS (2019)
Xinhua Zhang, Yijing Watkins, Garrett T. Kenyon
Can Deep Learning Learn the Principle of Closed Contour Detection? ISVC (2018)
Yijing Watkins, Oleksandr Iaroshenko, Mohammad Sayeh, Garrett T. Kenyon
Image Compression: Sparse Coding vs. Bottleneck Autoencoders. SSIAI (2018)
Yijing Watkins, Mohammad Sayeh, Oleksandr Iaroshenko, Garrett T. Kenyon
Image Compression: Sparse Coding vs. Bottleneck Autoencoders. CoRR (2017)