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2020 – today
- 2023
[b1]Colorado Reed:
Data and Label Efficient Representation Learning. University of California, Berkeley, USA, 2023- [c9]Colorado J. Reed, Ritwik Gupta, Shufan Li, Sarah Brockman, Christopher Funk
, Brian Clipp, Kurt Keutzer, Salvatore Candido, Matt Uyttendaele, Trevor Darrell:
Scale-MAE: A Scale-Aware Masked Autoencoder for Multiscale Geospatial Representation Learning. ICCV 2023: 4065-4076 - 2022
- [c8]Bo Li, Yifei Shen, Yezhen Wang, Wenzhen Zhu, Colorado Reed, Dongsheng Li, Kurt Keutzer, Han Zhao:
Invariant Information Bottleneck for Domain Generalization. AAAI 2022: 7399-7407 - [c7]Amir Bar, Xin Wang, Vadim Kantorov, Colorado J. Reed, Roei Herzig, Gal Chechik, Anna Rohrbach, Trevor Darrell, Amir Globerson:
DETReg: Unsupervised Pretraining with Region Priors for Object Detection. CVPR 2022: 14585-14595 - [c6]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 - [i15]Poonam Parhar, Ryan Sawasaki, Alberto Todeschini, Colorado Reed, Hossein Vahabi, Nathan Nusaputra, Felipe Vergara:
HyperionSolarNet: Solar Panel Detection from Aerial Images. CoRR abs/2201.02107 (2022) - [i14]Dhileeban Kumaresan, Richard Wang, Ernesto Martinez, Richard Cziva, Alberto Todeschini, Colorado J. Reed, Hossein Vahabi:
SunCast: Solar Irradiance Nowcasting from Geosynchronous Satellite Data. CoRR abs/2201.06173 (2022) - [i13]Malachy Moran, Kayla Woputz, Derrick Hee, Manuela Girotto, Paolo D'Odorico, Ritwik Gupta, Daniel Feldman, Puya Vahabi, Alberto Todeschini, Colorado J. Reed:
Snowpack Estimation in Key Mountainous Water Basins from Openly-Available, Multimodal Data Sources. CoRR abs/2208.04246 (2022) - [i12]Akash Gokul, Konstantinos Kallidromitis, Shufan Li, Yusuke Kato, Kazuki Kozuka, Trevor Darrell, Colorado J. Reed:
Refine and Represent: Region-to-Object Representation Learning. CoRR abs/2208.11821 (2022) - [i11]Kevin Miao, Akash Gokul, Raghav Singh, Suzanne Petryk, Joseph Gonzalez, Kurt Keutzer, Trevor Darrell, Colorado Reed:
Prior Knowledge-Guided Attention in Self-Supervised Vision Transformers. CoRR abs/2209.03745 (2022) - [i10]Colorado J. Reed, Ritwik Gupta, Shufan Li, Sarah Brockman, Christopher Funk, Brian Clipp, Kurt Keutzer, Salvatore Candido, Matt Uyttendaele, Trevor Darrell:
Scale-MAE: A Scale-Aware Masked Autoencoder for Multiscale Geospatial Representation Learning. CoRR abs/2212.14532 (2022) - 2021
- [c5]Colorado J. Reed, Sean Metzger, Aravind Srinivas, Trevor Darrell, Kurt Keutzer:
SelfAugment: Automatic Augmentation Policies for Self-Supervised Learning. CVPR 2021: 2674-2683 - [c4]Tete Xiao, Colorado J. Reed, Xiaolong Wang, Kurt Keutzer, Trevor Darrell:
Region Similarity Representation Learning. ICCV 2021: 10519-10528 - [i9]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) - [i8]Tete Xiao, Colorado J. Reed, Xiaolong Wang, Kurt Keutzer, Trevor Darrell:
Region Similarity Representation Learning. CoRR abs/2103.12902 (2021) - [i7]Amir Bar, Xin Wang, Vadim Kantorov, Colorado J. Reed, Roei Herzig, Gal Chechik, Anna Rohrbach, Trevor Darrell, Amir Globerson:
DETReg: Unsupervised Pretraining with Region Priors for Object Detection. CoRR abs/2106.04550 (2021) - [i6]Bo Li, Yifei Shen, Yezhen Wang, Wenzhen Zhu, Colorado J. Reed, Jun Zhang, Dongsheng Li, Kurt Keutzer, Han Zhao:
Invariant Information Bottleneck for Domain Generalization. CoRR abs/2106.06333 (2021) - [i5]Chitra Agastya, Sirak Ghebremusse, Ian Anderson, Colorado Reed, Hossein Vahabi, Alberto Todeschini:
Self-supervised Contrastive Learning for Irrigation Detection in Satellite Imagery. CoRR abs/2108.05484 (2021) - [i4]Xiangyu Yue, Zangwei Zheng, Colorado Reed, Hari Prasanna Das, Kurt Keutzer, Alberto L. Sangiovanni-Vincentelli:
Multi-source Few-shot Domain Adaptation. CoRR abs/2109.12391 (2021) - 2020
- [i3]Sicheng Zhao, Bo Li, Colorado Reed, Pengfei Xu, Kurt Keutzer:
Multi-source Domain Adaptation in the Deep Learning Era: A Systematic Survey. CoRR abs/2002.12169 (2020) - [i2]Colorado Reed, Sean Metzger, Aravind Srinivas, Trevor Darrell, Kurt Keutzer:
Evaluating Self-Supervised Pretraining Without Using Labels. CoRR abs/2009.07724 (2020)
2010 – 2019
- 2014
- [c3]Amy Pavel, Colorado Reed, Björn Hartmann, Maneesh Agrawala:
Video digests: a browsable, skimmable format for informational lecture videos. UIST 2014: 573-582 - 2013
- [j1]David R. Thompson, Walid A. Majid, Colorado Reed, Kiri L. Wagstaff:
Semi-supervised Eigenbasis novelty detection. Stat. Anal. Data Min. 6(3): 195-204 (2013) - [c2]Colorado Reed, Zoubin Ghahramani:
Scaling the Indian Buffet Process via Submodular Maximization. ICML (3) 2013: 1013-1021 - [i1]Colorado Reed, Zoubin Ghahramani:
Scaling the Indian Buffet Process via Submodular Maximization. CoRR abs/1304.3285 (2013) - 2011
- [c1]David R. Thompson, Walid A. Majid, Kiri Wagstaff, Colorado Reed:
Semi-Supervised Novelty Detection with Adaptive Eigenbases, and Application to Radio Transients. CIDU 2011: 118-128
Coauthor Index
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