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Yezhen Cong

2 accepted papers

2022

SatMAE: Pre-training Transformers for Temporal and Multi-Spectral Satellite Imagery

NeurIPS 2022accept

Unsupervised pre-training methods for large vision models have shown to enhance performance on downstream supervised tasks. Developing similar techniques for satellite imagery presents significant opportunities as unlabelled data is plentiful and the inherent temporal and multi-spectral structure pr…

2021

3DIoUMatch: Leveraging IoU Prediction for Semi-Supervised 3D Object Detection

CVPR 2021poster

3D object detection is an important yet demanding task that heavily relies on difficult to obtain 3D annotations. To reduce the required amount of supervision, we propose 3DIoUMatch, a novel semi-supervised method for 3D object detection applicable to both indoor and outdoor scenes. We leverage a te…

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