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Yijing Watkins
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2020 – today
- 2024
- [c9]Darryl Hannan, Ragib Arnab, Gavin Parpart, Garrett T. Kenyon, Edward Kim, Yijing Watkins:
Event-To-Video Conversion for Overhead Object Detection. SSIAI 2024: 89-92 - [i7]Darryl Hannan, Ragib Arnab, Gavin Parpart, Garrett T. Kenyon, Edward Kim, Yijing Watkins:
Event-to-Video Conversion for Overhead Object Detection. CoRR abs/2402.06805 (2024) - 2023
- [c8]Gavin Parpart
, Sumedh R. Risbud
Implementing and Benchmarking the Locally Competitive Algorithm on the Loihi 2 Neuromorphic Processor. ICONS 2023: 15:1-15:6 - [i6]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 abs/2305.13509 (2023) - [i5]Gavin Parpart, Sumedh R. Risbud, Garrett T. Kenyon, Yijing Watkins:
Implementing and Benchmarking the Locally Competitive Algorithm on the Loihi 2 Neuromorphic Processor. CoRR abs/2307.13762 (2023) - 2022
- [c7]Gavin Parpart
Dictionary Learning with Accumulator Neurons. ICONS 2022: 11:1-11:9 - [c6]Steven C. Nesbit, Andrew O'Brien, Jocelyn Rego, Gavin Parpart
Think Fast: Time Control in Varying Paradigms of Spiking Neural Networks. ICONS 2022: 21:1-21:8 - [i4]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 abs/2205.15386 (2022) - [i3]Elizabeth Coda, Brad Clymer, Chance N. DeSmet, Yijing Watkins, Michael Girard:
Universal Fourier Attack for Time Series. CoRR abs/2209.00757 (2022) - 2021
- [i2]Brian Shevitski, Yijing Watkins, Nicole Man, Michael Girard:
Digital Signal Processing Using Deep Neural Networks. CoRR abs/2109.10404 (2021) - 2020
- [c5]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: 1482-1487 - [c4]Edward Kim, Jocelyn Rego, Yijing Watkins, Garrett T. Kenyon:
Modeling Biological Immunity to Adversarial Examples. CVPR 2020: 4665-4674
2010 – 2019
- 2019
- [c3]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: 11:1-11:5 - 2018
- [c2]Xinhua Zhang, Yijing Watkins, Garrett T. Kenyon:
Can Deep Learning Learn the Principle of Closed Contour Detection? ISVC 2018: 455-460 - [c1]Yijing Watkins, Oleksandr Iaroshenko
Image Compression: Sparse Coding vs. Bottleneck Autoencoders. SSIAI 2018: 17-20 - 2017
- [i1]Yijing Watkins, Mohammad Sayeh, Oleksandr Iaroshenko, Garrett T. Kenyon:
Image Compression: Sparse Coding vs. Bottleneck Autoencoders. CoRR abs/1710.09926 (2017)
Coauthor Index
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last updated on 2024-10-07 21:21 CEST by the dblp team
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