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12/03/2020
Multiple Networks are More Efficient than One: Fast and Accurate Models via Ensembles and Cascades
Recent work on efficient neural network architectures focuses on discove...
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10/02/2020
Neighbourhood Distillation: On the benefits of non end-to-end distillation
End-to-end training with back propagation is the standard method for tra...
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06/17/2020
Fine-Grained Stochastic Architecture Search
State-of-the-art deep networks are often too large to deploy on mobile d...
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06/15/2020
Sky Optimization: Semantically aware image processing of skies in low-light photography
The sky is a major component of the appearance of a photograph, and its ...
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11/25/2019
Structured Multi-Hashing for Model Compression
Despite the success of deep neural networks (DNNs), state-of-the-art mod...
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06/11/2018
Synthetic Depth-of-Field with a Single-Camera Mobile Phone
Shallow depth-of-field is commonly used by photographers to isolate a su...
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03/21/2017
No Fuss Distance Metric Learning using Proxies
We address the problem of distance metric learning (DML), defined as lea...
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03/26/2016
