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02/15/2023
Denoising Diffusion Probabilistic Models for Robust Image Super-Resolution in the Wild
Diffusion models have shown promising results on single-image super-reso...
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12/22/2022
Scalable Adaptive Computation for Iterative Generation
We present the Recurrent Interface Network (RIN), a neural net architect...
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05/19/2022
Robust and Efficient Medical Imaging with Self-Supervision
Recent progress in Medical Artificial Intelligence (AI) has delivered sy...
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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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06/18/2019
Differentiable probabilistic models of scientific imaging with the Fourier slice theorem
Scientific imaging techniques such as optical and electron microscopy an...
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02/05/2019
TzK: Flow-Based Conditional Generative Model
We formulate a new class of conditional generative models based on proba...
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09/04/2018
Hierarchical Video Understanding
We introduce a hierarchical architecture for video understanding that ex...
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04/24/2018
Fine-grained Video Classification and Captioning
We describe a DNN for fine-grained action classification and video capti...
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08/28/2017