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08/11/2023
Foundation Model is Efficient Multimodal Multitask Model Selector
This paper investigates an under-explored but important problem: given a...
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01/02/2023
Multi-Stage Spatio-Temporal Aggregation Transformer for Video Person Re-identification
In recent years, the Transformer architecture has shown its superiority ...
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11/10/2020
AIM 2020 Challenge on Learned Image Signal Processing Pipeline
This paper reviews the second AIM learned ISP challenge and provides the...
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03/19/2020
Exemplar Normalization for Learning Deep Representation
Normalization techniques are important in different advanced neural netw...
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08/16/2019
Differentiable Learning-to-Group Channels via Groupable Convolutional Neural Networks
Group convolution, which divides the channels of ConvNets into groups, h...
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08/16/2019
Differentiable Learning-to-Group Channels viaGroupable Convolutional Neural Networks
Group convolution, which divides the channels of ConvNets into groups, h...
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07/22/2019
Switchable Normalization for Learning-to-Normalize Deep Representation
We address a learning-to-normalize problem by proposing Switchable Norma...
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11/19/2018
Do Normalization Layers in a Deep ConvNet Really Need to Be Distinct?
Yes, they do. This work investigates a perspective for deep learning: wh...
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09/04/2018
Understanding Regularization in Batch Normalization
Batch Normalization (BN) makes output of hidden neuron had zero mean and...
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06/28/2018
Differentiable Learning-to-Normalize via Switchable Normalization
We address a learning-to-normalize problem by proposing Switchable Norma...
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04/07/2016
Geometric Scene Parsing with Hierarchical LSTM
This paper addresses the problem of geometric scene parsing, i.e. simult...
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08/08/2015
Deep Boosting: Joint Feature Selection and Analysis Dictionary Learning in Hierarchy
This work investigates how the traditional image classification pipeline...
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02/03/2015
