Colorado Reed

According to our database, Colorado Reed authored at least 21 papers between 2011 and 2023.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2023

Data and Label Efficient Representation Learning

Colorado Reed

PhD thesis, 2023

Scale-MAE: A Scale-Aware Masked Autoencoder for Multiscale Geospatial Representation Learning.

Colorado J. Reed, Ritwik Gupta, Shufan Li, Sarah Brockman, Christopher Funk, Brian Clipp, Kurt Keutzer, Salvatore Candido, Matt Uyttendaele, Trevor Darrell

Proceedings of the IEEE/CVF International Conference on Computer Vision, 2023

2022

Prior Knowledge-Guided Attention in Self-Supervised Vision Transformers.

Kevin Miao, Akash Gokul, Raghav Singh, Suzanne Petryk, Joseph Gonzalez, Kurt Keutzer, Trevor Darrell, Colorado Reed

CoRR, 2022

Refine and Represent: Region-to-Object Representation Learning.

Akash Gokul, Konstantinos Kallidromitis, Shufan Li, Yusuke Kato, Kazuki Kozuka, Trevor Darrell, Colorado J. Reed

CoRR, 2022

Snowpack Estimation in Key Mountainous Water Basins from Openly-Available, Multimodal Data Sources.

Malachy Moran, Kayla Woputz, Derrick Hee, Manuela Girotto, Paolo D'Odorico, Ritwik Gupta, Daniel Feldman, Puya Vahabi, Alberto Todeschini, Colorado J. Reed

CoRR, 2022

SunCast: Solar Irradiance Nowcasting from Geosynchronous Satellite Data.

Dhileeban Kumaresan, Richard Wang, Ernesto Martinez, Richard Cziva, Alberto Todeschini, Colorado J. Reed, Hossein Vahabi

CoRR, 2022

HyperionSolarNet: Solar Panel Detection from Aerial Images.

Poonam Parhar, Ryan Sawasaki, Alberto Todeschini, Colorado Reed, Hossein Vahabi, Nathan Nusaputra, Felipe Vergara

CoRR, 2022

Self-Supervised Pretraining Improves Self-Supervised Pretraining.

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

Proceedings of the IEEE/CVF Winter Conference on Applications of Computer Vision, 2022

DETReg: Unsupervised Pretraining with Region Priors for Object Detection.

Amir Bar, Xin Wang, Vadim Kantorov, Colorado J. Reed, Roei Herzig, Gal Chechik, Anna Rohrbach, Trevor Darrell, Amir Globerson

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2022

Invariant Information Bottleneck for Domain Generalization.

Bo Li, Yifei Shen, Yezhen Wang, Wenzhen Zhu, Colorado Reed, Dongsheng Li, Kurt Keutzer, Han Zhao

Proceedings of the Thirty-Sixth AAAI Conference on Artificial Intelligence, 2022

2021

Multi-source Few-shot Domain Adaptation.

Xiangyu Yue, Zangwei Zheng, Colorado Reed, Hari Prasanna Das, Kurt Keutzer, Alberto L. Sangiovanni-Vincentelli

CoRR, 2021

Self-supervised Contrastive Learning for Irrigation Detection in Satellite Imagery.

Chitra Agastya, Sirak Ghebremusse, Ian Anderson, Colorado Reed, Hossein Vahabi, Alberto Todeschini

CoRR, 2021

Invariant Information Bottleneck for Domain Generalization.

Bo Li, Yifei Shen, Yezhen Wang, Wenzhen Zhu, Colorado J. Reed, Jun Zhang, Dongsheng Li, Kurt Keutzer, Han Zhao

CoRR, 2021

Region Similarity Representation Learning.

Tete Xiao, Colorado J. Reed, Xiaolong Wang, Kurt Keutzer, Trevor Darrell

Proceedings of the 2021 IEEE/CVF International Conference on Computer Vision, 2021

SelfAugment: Automatic Augmentation Policies for Self-Supervised Learning.

Colorado J. Reed, Sean Metzger, Aravind Srinivas, Trevor Darrell, Kurt Keutzer

Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2021

2020

Evaluating Self-Supervised Pretraining Without Using Labels.

Colorado Reed, Sean Metzger, Aravind Srinivas, Trevor Darrell, Kurt Keutzer

CoRR, 2020

Multi-source Domain Adaptation in the Deep Learning Era: A Systematic Survey.

Sicheng Zhao, Bo Li, Colorado Reed, Pengfei Xu, Kurt Keutzer

CoRR, 2020

2014

Video digests: a browsable, skimmable format for informational lecture videos.

Amy Pavel, Colorado Reed, Björn Hartmann, Maneesh Agrawala

Proceedings of the 27th Annual ACM Symposium on User Interface Software and Technology, 2014

2013

Semi-supervised Eigenbasis novelty detection.

David R. Thompson, Walid A. Majid, Colorado Reed, Kiri L. Wagstaff

Stat. Anal. Data Min., 2013

Scaling the Indian Buffet Process via Submodular Maximization.

Colorado Reed, Zoubin Ghahramani

Proceedings of the 30th International Conference on Machine Learning, 2013

2011

Semi-Supervised Novelty Detection with Adaptive Eigenbases, and Application to Radio Transients.

David R. Thompson, Walid A. Majid, Kiri Wagstaff, Colorado Reed

Proceedings of the 2011 Conference on Intelligent Data Understanding, 2011