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07/10/2023
Substance or Style: What Does Your Image Embedding Know?
Probes are small networks that predict properties of underlying data fro...
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06/02/2023
The Surprising Effectiveness of Diffusion Models for Optical Flow and Monocular Depth Estimation
Denoising diffusion probabilistic models have transformed image generati...
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03/21/2022
What Makes RAFT Better Than PWC-Net?
How important are training details and datasets to recent optical flow m...
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11/30/2021
Pyramid Adversarial Training Improves ViT Performance
Aggressive data augmentation is a key component of the strong generaliza...
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08/22/2021
Deep survival analysis with longitudinal X-rays for COVID-19
Time-to-event analysis is an important statistical tool for allocating c...
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04/29/2021
AutoFlow: Learning a Better Training Set for Optical Flow
Synthetic datasets play a critical role in pre-training CNN models for o...
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04/26/2020
Learning to Autofocus
Autofocus is an important task for digital cameras, yet current approach...
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12/11/2018
Deep networks with probabilistic gates
We investigate learning to probabilistically bypass computations in a ne...
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08/08/2017