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06/21/2023
Balanced Mixture of SuperNets for Learning the CNN Pooling Architecture
Downsampling layers, including pooling and strided convolutions, are cru...
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06/01/2023
FigGen: Text to Scientific Figure Generation
The generative modeling landscape has experienced tremendous growth in r...
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10/19/2022
OCR-VQGAN: Taming Text-within-Image Generation
Synthetic image generation has recently experienced significant improvem...
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11/16/2021
Diversified Multi-prototype Representation for Semi-supervised Segmentation
This work considers semi-supervised segmentation as a dense prediction p...
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03/08/2021
Boosting Semi-supervised Image Segmentation with Global and Local Mutual Information Regularization
The scarcity of labeled data often impedes the application of deep learn...
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06/25/2020
Learning Data Augmentation with Online Bilevel Optimization for Image Classification
Data augmentation is a key practice in machine learning for improving ge...
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03/18/2020
Semi-supervised few-shot learning for medical image segmentation
Recent years have witnessed the great progress of deep neural networks o...
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03/09/2020
On the Texture Bias for Few-Shot CNN Segmentation
Despite the initial belief that Convolutional Neural Networks (CNNs) are...
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11/11/2019
A Computing Kernel for Network Binarization on PyTorch
Deep Neural Networks have now achieved state-of-the-art results in a wid...
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10/03/2019
Information based Deep Clustering: An experimental study
Recently, two methods have shown outstanding performance for clustering ...
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09/21/2019
Adversarial Learning of General Transformations for Data Augmentation
Data augmentation (DA) is fundamental against overfitting in large convo...
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08/15/2019
Discretely-constrained deep network for weakly supervised segmentation
An efficient strategy for weakly-supervised segmentation is to impose co...
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07/06/2019
Multimodal Fusion with Deep Neural Networks for Audio-Video Emotion Recognition
This paper presents a novel deep neural network (DNN) for multimodal fus...
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03/27/2019
Deep Co-Training for Semi-Supervised Image Segmentation
In this paper, we aim to improve the performance of semantic image segme...
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10/09/2018
Deep clustering: On the link between discriminative models and K-means
In the context of recent deep clustering studies, discriminative models ...
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07/09/2018
An Attention Model for group-level emotion recognition
In this paper we propose a new approach for classifying the global emoti...
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11/29/2017
Modeling Information Flow Through Deep Neural Networks
This paper proposes a principled information theoretic analysis of class...
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12/03/2016
Areas of Attention for Image Captioning
We propose "Areas of Attention", a novel attention-based model for autom...
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06/15/2016
DeepProposals: Hunting Objects and Actions by Cascading Deep Convolutional Layers
In this paper, a new method for generating object and action proposals i...
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10/15/2015