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Tyler L. Hayes

Improved Robustness to Open Set Inputs via Tempered Mixup

Sep 10, 2020
Ryne Roady, Tyler L. Hayes, Christopher Kanan

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* Proceedings of the ECCV 2020 Workshop on Adversarial Robustness in the Real World

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RODEO: Replay for Online Object Detection

Aug 14, 2020
Manoj Acharya, Tyler L. Hayes, Christopher Kanan

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* Accepted for poster presentation at BMVC2020

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Lifelong Machine Learning with Deep Streaming Linear Discriminant Analysis

Sep 04, 2019
Tyler L. Hayes, Christopher Kanan

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Compassionately Conservative Balanced Cuts for Image Segmentation

Mar 27, 2018
Nathan D. Cahill, Tyler L. Hayes, Renee T. Meinhold, John F. Hamilton

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* Long version of paper accepted at CVPR 2018

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Efficiently Computing Piecewise Flat Embeddings for Data Clustering and Image Segmentation

Dec 20, 2016
Renee T. Meinhold, Tyler L. Hayes, Nathan D. Cahill

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* Presented at the 2016 IEEE MIT Undergraduate Research Technology Conference (http://ieee.scripts.mit.edu/conference/index.php)

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