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07/18/2023
MOCA: Self-supervised Representation Learning by Predicting Masked Online Codebook Assignments
Self-supervised learning can be used for mitigating the greedy needs of ...
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03/23/2022
What to Hide from Your Students: Attention-Guided Masked Image Modeling
Transformers and masked language modeling are quickly being adopted and ...
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12/21/2020
Online Bag-of-Visual-Words Generation for Unsupervised Representation Learning
Learning image representations without human supervision is an important...
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02/27/2020
Learning Representations by Predicting Bags of Visual Words
Self-supervised representation learning targets to learn convnet-based i...
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12/03/2019
QUEST: Quantized embedding space for transferring knowledge
Knowledge distillation refers to the process of training a compact stude...
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08/12/2019
Deep Tone Mapping Operator for High Dynamic Range Images
A computationally fast tone mapping operator (TMO) that can quickly adap...
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06/12/2019
Boosting Few-Shot Visual Learning with Self-Supervision
Few-shot learning and self-supervised learning address different facets ...
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05/03/2019
Generating Classification Weights with GNN Denoising Autoencoders for Few-Shot Learning
Given an initial recognition model already trained on a set of base clas...
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12/28/2018
Exploring Weight Symmetry in Deep Neural Networks
We propose to impose symmetry in neural network parameters to improve pa...
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12/28/2018
Exploring Weight Symmetry in Deep Neural Network
We propose to impose symmetry in neural network parameters to improve pa...
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09/17/2018
Scattering Networks for Hybrid Representation Learning
Scattering networks are a class of designed Convolutional Neural Network...
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04/25/2018
Dynamic Few-Shot Visual Learning without Forgetting
The human visual system has the remarkably ability to be able to effortl...
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03/21/2018
Unsupervised Representation Learning by Predicting Image Rotations
Over the last years, deep convolutional neural networks (ConvNets) have ...
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02/09/2018
GraphVAE: Towards Generation of Small Graphs Using Variational Autoencoders
Deep learning on graphs has become a popular research topic with many ap...
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09/05/2017
Newton-type Methods for Inference in Higher-Order Markov Random Fields
Linear programming relaxations are central to map inference in discrete...
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06/01/2017
DiracNets: Training Very Deep Neural Networks Without Skip-Connections
Deep neural networks with skip-connections, such as ResNet, show excelle...
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04/10/2017
Dynamic Edge-Conditioned Filters in Convolutional Neural Networks on Graphs
A number of problems can be formulated as prediction on graph-structured...
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12/29/2016
Rotation equivariant vector field networks
In many computer vision tasks, we expect a particular behavior of the ou...
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12/14/2016
Detect, Replace, Refine: Deep Structured Prediction For Pixel Wise Labeling
Pixel wise image labeling is an interesting and challenging problem with...
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12/12/2016
Paying More Attention to Attention: Improving the Performance of Convolutional Neural Networks via Attention Transfer
Attention plays a critical role in human visual experience. Furthermore,...
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09/17/2016
A Deep Metric for Multimodal Registration
Multimodal registration is a challenging problem in medical imaging due ...
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08/09/2016
OnionNet: Sharing Features in Cascaded Deep Classifiers
The focus of our work is speeding up evaluation of deep neural networks ...
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06/14/2016
Attend Refine Repeat: Active Box Proposal Generation via In-Out Localization
The problem of computing category agnostic bounding box proposals is uti...
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05/23/2016
Wide Residual Networks
Deep residual networks were shown to be able to scale up to thousands of...
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11/24/2015
LocNet: Improving Localization Accuracy for Object Detection
We propose a novel object localization methodology with the purpose of b...
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05/07/2015
Object detection via a multi-region & semantic segmentation-aware CNN model
We propose an object detection system that relies on a multi-region deep...
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04/14/2015
Learning to Compare Image Patches via Convolutional Neural Networks
In this paper we show how to learn directly from image data (i.e., witho...
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06/20/2014