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06/22/2022
Doubly Reparameterized Importance Weighted Structure Learning for Scene Graph Generation
As a structured prediction task, scene graph generation, given an input ...
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05/19/2022
Subcellular Protein Localisation in the Human Protein Atlas using Ensembles of Diverse Deep Architectures
Automated visual localisation of subcellular proteins can accelerate our...
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05/14/2022
Importance Weighted Structure Learning for Scene Graph Generation
Scene graph generation is a structured prediction task aiming to explici...
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03/29/2022
Efficient Hybrid Network: Inducting Scattering Features
Recent work showed that hybrid networks, which combine predefined and le...
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01/27/2022
Constrained Structure Learning for Scene Graph Generation
As a structured prediction task, scene graph generation aims to build a ...
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12/10/2021
Neural Belief Propagation for Scene Graph Generation
Scene graph generation aims to interpret an input image by explicitly mo...
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09/21/2021
Learning PAC-Bayes Priors for Probabilistic Neural Networks
Recent works have investigated deep learning models trained by optimisin...
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07/09/2021
Understanding the Distributions of Aggregation Layers in Deep Neural Networks
The process of aggregation is ubiquitous in almost all deep nets models....
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07/12/2019
ACTNET: end-to-end learning of feature activations and multi-stream aggregation for effective instance image retrieval
We propose a novel CNN architecture called ACTNET for robust instance im...
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07/12/2019
ACTNET: end-to-end learning of feature activations and aggregation for effective instance image retrieval
We propose a novel CNN architecture called ACTNET for robust instance im...
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06/15/2019
REMAP: Multi-layer entropy-guided pooling of dense CNN features for image retrieval
This paper addresses the problem of very large-scale image retrieval, fo...
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05/26/2019
Automatic Delineation of Kidney Region in DCE-MRI
Delineation of the kidney region in dynamic contrast-enhanced magnetic r...
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05/24/2019
Functional Segmentation through Dynamic Mode Decomposition: Automatic Quantification of Kidney Function in DCE-MRI Images
Quantification of kidney function in Dynamic Contrast-Enhanced Magnetic ...
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03/13/2019
Visual Semantic Information Pursuit: A Survey
Visual semantic information comprises two important parts: the meaning o...
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07/03/2018
Deep Architectures and Ensembles for Semantic Video Classification
This work addresses the problem of accurate semantic labelling of short ...
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07/13/2017
Cultivating DNN Diversity for Large Scale Video Labelling
We investigate factors controlling DNN diversity in the context of the G...
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02/01/2017
