Colorado J Reed

4 papers · 2021–2023 · 3 venues · across top CS/AI venues

Authors are matched by name, so researchers who share a name ("Yang Liu", "Wei Wang") appear as a single profile and their paper counts, venues and achievements are combined. How identity is handled.

Achievements

Jump to papers ↓

🌍 Conference Polyglot · Bronze 🌉 Interdisciplinary Bridge · Bronze

Venues

ICCV (2) CVPR (1) WACV (1)

Top co-authors

Kurt Keutzer (4) Trevor Darrell (4) Sean Metzger (2) Ani Nrusimha (1) Sarah Brockman (1) Salvatore Candido (1) Bo Li (1) Xiangyu Yue (1) Aravind Srinivas (1) Sayna Ebrahimi (1)

Research topics

Deep Learning (3) Machine Learning (3) Learning Types · Machine Learning (3) Core Methods (2) Techniques (2) Computer Vision (1) Analysis (1) Application Areas (1) Architectures (1) Learning Types · Deep Learning (1) Processing (1)

Keywords

representation learning (3) self-supervised learning (2) transfer learning (1) object detection (1) data augmentation (1) instance segmentation (1) remote sensing (1) unsupervised representation learning (1) convolutional neural network (1) feature map (1) self-supervised pretraining (1) masked autoencoder (1) bandpass filter (1) multi-scale representation (1) auto augmentation (1) automatic augmentation (1) rotation task (1) pre-training method (1) hierarchical pretraining (1) vision transformer (1)

Papers

Scale-MAE: A Scale-Aware Masked Autoencoder for Multiscale Geospatial Representation Learning ICCV 2023 Self-Supervised Pretraining Improves Self-Supervised Pretraining WACV 2022 Region Similarity Representation Learning ICCV 2021 SelfAugment: Automatic Augmentation Policies for Self-Supervised Learning CVPR 2021