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Devin Guillory
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2020 – today
- 2024
- [c9]Luca Franco, Paolo Mandica, Konstantinos Kallidromitis, Devin Guillory, Yu-Teng Li, Trevor Darrell, Fabio Galasso:
Hyperbolic Active Learning for Semantic Segmentation under Domain Shift. ICML 2024 - 2023
- [c8]Lisa Dunlap, Clara Mohri, Devin Guillory, Han Zhang, Trevor Darrell, Joseph E. Gonzalez, Aditi Raghunathan, Anna Rohrbach:
Using Language to Extend to Unseen Domains. ICLR 2023 - [i9]Luca Franco, Paolo Mandica, Konstantinos Kallidromitis, Devin Guillory, Yu-Teng Li, Fabio Galasso:
Hyperbolic Active Learning for Semantic Segmentation under Domain Shift. CoRR abs/2306.11180 (2023) - 2022
- [c7]Vongani H. Maluleke, Neerja Thakkar, Tim Brooks, Ethan Weber, Trevor Darrell, Alexei A. Efros, Angjoo Kanazawa, Devin Guillory:
Studying Bias in GANs Through the Lens of Race. ECCV (13) 2022: 344-360 - [c6]Zhekun Luo, Shalini Ghosh, Devin Guillory, Keizo Kato, Trevor Darrell, Huijuan Xu:
Disentangled Action Recognition with Knowledge Bases. NAACL-HLT 2022: 559-572 - [c5]Colorado J. Reed, Xiangyu Yue, Ani Nrusimha, Sayna Ebrahimi, Vivek Vijaykumar, Richard Mao, Bo Li, Shanghang Zhang, Devin Guillory, Sean Metzger, Kurt Keutzer, Trevor Darrell:
Self-Supervised Pretraining Improves Self-Supervised Pretraining. WACV 2022: 1050-1060 - [i8]Zhekun Luo, Shalini Ghosh, Devin Guillory, Keizo Kato, Trevor Darrell, Huijuan Xu:
Disentangled Action Recognition with Knowledge Bases. CoRR abs/2207.01708 (2022) - [i7]Vongani H. Maluleke, Neerja Thakkar, Tim Brooks, Ethan Weber, Trevor Darrell, Alexei A. Efros, Angjoo Kanazawa, Devin Guillory:
Studying Bias in GANs through the Lens of Race. CoRR abs/2209.02836 (2022) - [i6]Lisa Dunlap, Clara Mohri, Devin Guillory, Han Zhang, Trevor Darrell, Joseph E. Gonzalez, Aditi Raghunathan, Anna Rohrbach:
Using Language to Extend to Unseen Domains. CoRR abs/2210.09520 (2022) - 2021
- [c4]Devin Guillory, Vaishaal Shankar, Sayna Ebrahimi, Trevor Darrell, Ludwig Schmidt:
Predicting with Confidence on Unseen Distributions. ICCV 2021: 1114-1124 - [i5]Colorado J. Reed, Xiangyu Yue, Ani Nrusimha, Sayna Ebrahimi, Vivek Vijaykumar, Richard Mao, Bo Li, Shanghang Zhang, Devin Guillory, Sean Metzger, Kurt Keutzer, Trevor Darrell:
Self-Supervised Pretraining Improves Self-Supervised Pretraining. CoRR abs/2103.12718 (2021) - [i4]Devin Guillory, Vaishaal Shankar, Sayna Ebrahimi, Trevor Darrell, Ludwig Schmidt:
Predicting with Confidence on Unseen Distributions. CoRR abs/2107.03315 (2021) - 2020
- [c3]Zhekun Luo, Devin Guillory, Baifeng Shi, Wei Ke, Fang Wan, Trevor Darrell, Huijuan Xu:
Weakly-Supervised Action Localization with Expectation-Maximization Multi-Instance Learning. ECCV (29) 2020: 729-745 - [i3]Zhekun Luo, Devin Guillory, Baifeng Shi, Wei Ke, Fang Wan, Trevor Darrell, Huijuan Xu:
Weakly-Supervised Action Localization with Expectation-Maximization Multi-Instance Learning. CoRR abs/2004.00163 (2020) - [i2]Devin Guillory:
Combating Anti-Blackness in the AI Community. CoRR abs/2006.16879 (2020)
2010 – 2019
- 2017
- [c2]Kamelia Aryafar, Devin Guillory, Liangjie Hong:
An Ensemble-based Approach to Click-Through Rate Prediction for Promoted Listings at Etsy. ADKDD@KDD 2017: 10:1-10:6 - [i1]Kamelia Aryafar, Devin Guillory, Liangjie Hong:
An Ensemble-based Approach to Click-Through Rate Prediction for Promoted Listings at Etsy. CoRR abs/1711.01377 (2017) - 2016
- [c1]David Held, Devin Guillory, Brice Rebsamen, Sebastian Thrun, Silvio Savarese:
A Probabilistic Framework for Real-time 3D Segmentation using Spatial, Temporal, and Semantic Cues. Robotics: Science and Systems 2016
Coauthor Index
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last updated on 2024-09-04 01:24 CEST by the dblp team
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