Yijing Watkins

20 papers A* 1Misc 1Journal 10Unranked 8
YearRankTypeTitle / Venue / Authors
2026 J jnl
Seeing Beyond Redundancy: Task Complexity's Role in Vision Token Specialization in VLLMs.
CoRR
Darryl Hannan, John Cooper, Dylan White, Yijing Watkins
2025 J jnl
FMG-Det: Foundation Model Guided Robust Object Detection.
CoRR
Darryl Hannan, Timothy Doster, Henry Kvinge, Adam Attarian, Yijing Watkins
2025 — conf
Foundation Models for Remote Sensing: An Analysis of MLLMs for Object Localization.
CVPR Workshops
Darryl Hannan, John Cooper, Dylan White, Timothy Doster, Henry Kvinge, Yijing Watkins
2025 J jnl
Foundation Models for Remote Sensing: An Analysis of MLLMs for Object Localization.
CoRR
Darryl Hannan, John Cooper, Dylan White, Timothy Doster, Henry Kvinge, Yijing Watkins
2024 — conf
Event-To-Video Conversion for Overhead Object Detection.
SSIAI
Darryl Hannan, Ragib Arnab, Gavin Parpart, Garrett T. Kenyon, Edward Kim, Yijing Watkins
2024 J jnl
Event-to-Video Conversion for Overhead Object Detection.
CoRR
Darryl Hannan, Ragib Arnab, Gavin Parpart, Garrett T. Kenyon, Edward Kim, Yijing Watkins
2023 J jnl
ColMix - A Simple Data Augmentation Framework to Improve Object Detector Performance and Robustness in Aerial Images.
CoRR
Cuong Ly, Grayson Jorgenson, Dan Rosa de Jesus, Henry Kvinge, Adam Attarian, Yijing Watkins
2023 — conf
Implementing and Benchmarking the Locally Competitive Algorithm on the Loihi 2 Neuromorphic Processor.
ICONS
Gavin Parpart, Sumedh R. Risbud, Garrett T. Kenyon, Yijing Watkins
2023 J jnl
Implementing and Benchmarking the Locally Competitive Algorithm on the Loihi 2 Neuromorphic Processor.
CoRR
Gavin Parpart, Sumedh R. Risbud, Garrett T. Kenyon, Yijing Watkins
2022 — conf
Dictionary Learning with Accumulator Neurons.
ICONS
Gavin Parpart, Carlos González Rivera, Terrence C. Stewart, Edward Kim, Jocelyn Rego, Andrew O'Brien, Steven C. Nesbit, Garrett T. Kenyon, Yijing Watkins
2022 J jnl
Dictionary Learning with Accumulator Neurons.
CoRR
Gavin Parpart, Carlos González Rivera, Terrence C. Stewart, Edward Kim, Jocelyn Rego, Andrew O'Brien, Steven C. Nesbit, Garrett T. Kenyon, Yijing Watkins
2022 — conf
Think Fast: Time Control in Varying Paradigms of Spiking Neural Networks.
ICONS
Steven C. Nesbit, Andrew O'Brien, Jocelyn Rego, Gavin Parpart, Carlos González Rivera, Garrett T. Kenyon, Edward Kim, Terrence C. Stewart, Yijing Watkins
2022 J jnl
Universal Fourier Attack for Time Series.
CoRR
Elizabeth Coda, Brad Clymer, Chance N. DeSmet, Yijing Watkins, Michael Girard
2021 J jnl
Digital Signal Processing Using Deep Neural Networks.
CoRR
Brian Shevitski, Yijing Watkins, Nicole Man, Michael Girard
2020 A* conf
Modeling Biological Immunity to Adversarial Examples.
CVPR
Edward Kim, Jocelyn Rego, Yijing Watkins, Garrett T. Kenyon
2020 — conf
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
Yijing Watkins, Edward Kim, Andrew Sornborger, Garrett T. Kenyon
2019 — conf
Unsupervised Dictionary Learning via a Spiking Locally Competitive Algorithm.
ICONS
Yijing Watkins, Austin Thresher, Peter F. Schultz, Andreas Wild, Andrew Sornborger, Garrett T. Kenyon
2018 Misc conf
Can Deep Learning Learn the Principle of Closed Contour Detection?
ISVC
Xinhua Zhang, Yijing Watkins, Garrett T. Kenyon
2018 — conf
Image Compression: Sparse Coding vs. Bottleneck Autoencoders.
SSIAI
Yijing Watkins, Oleksandr Iaroshenko, Mohammad Sayeh, Garrett T. Kenyon
2017 J jnl
Image Compression: Sparse Coding vs. Bottleneck Autoencoders.
CoRR
Yijing Watkins, Mohammad Sayeh, Oleksandr Iaroshenko, Garrett T. Kenyon