Anton van den Hengel

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The University of Adelaide ∙ Australian National University

Director of The Australian Institute for Machine Learning

On Incorporating Semantic Prior Knowlegde in Deep Learning Through Embedding-Space Constraints

The knowledge that humans hold about a problem often extends far beyond ...
09/30/2019 ∙ by Damien Teney, et al. ∙ 52 ∙ share

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Actively Seeking and Learning from Live Data

One of the key limitations of traditional machine learning methods is th...
04/05/2019 ∙ by Damien Teney, et al. ∙ 34 ∙ share

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Memorizing Normality to Detect Anomaly: Memory-augmented Deep Autoencoder for Unsupervised Anomaly Detection

Deep autoencoder has been extensively used for anomaly detection. Traini...
04/04/2019 ∙ by Dong Gong, et al. ∙ 34 ∙ share

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Weakly-supervised Deep Anomaly Detection with Pairwise Relation Learning

This paper studies a rarely explored but critical anomaly detection prob...
10/30/2019 ∙ by Guansong, et al. ∙ 19 ∙ share

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Deep Anomaly Detection with Deviation Networks

Although deep learning has been applied to successfully address many dat...
11/19/2019 ∙ by Guansong, et al. ∙ 17 ∙ share

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Attention-guided Network for Ghost-free High Dynamic Range Imaging

Ghosting artifacts caused by moving objects or misalignments is a key ch...
04/23/2019 ∙ by Qingsen Yan, et al. ∙ 16 ∙ share

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Learning to Zoom-in via Learning to Zoom-out: Real-world Super-resolution by Generating and Adapting Degradation

Most learning-based super-resolution (SR) methods aim to recover high-re...
01/08/2020 ∙ by Dong Gong, et al. ∙ 15 ∙ share

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Reinforcement Learning with Attention that Works: A Self-Supervised Approach

Attention models have had a significant positive impact on deep learning...
04/06/2019 ∙ by Anthony Manchin, et al. ∙ 14 ∙ share

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On the General Value of Evidence, and Bilingual Scene-Text Visual Question Answering

Visual Question Answering (VQA) methods have made incredible progress, b...
02/24/2020 ∙ by Xinyu Wang, et al. ∙ 12 ∙ share

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Neighbourhood Watch: Referring Expression Comprehension via Language-guided Graph Attention Networks

The task in referring expression comprehension is to localise the object...
12/12/2018 ∙ by Peng Wang, et al. ∙ 8 ∙ share

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RERERE: Remote Embodied Referring Expressions in Real indoor Environments

One of the long-term challenges of robotics is to enable humans to commu...
04/23/2019 ∙ by Yuankai Qi, et al. ∙ 8 ∙ share

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An Effective Two-Branch Model-Based Deep Network for Single Image Deraining

Removing rain effects from an image automatically has many applications ...
05/14/2019 ∙ by Yinglong Wang, et al. ∙ 6 ∙ share

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Adaptive Importance Learning for Improving Lightweight Image Super-resolution Network

Deep neural networks have achieved remarkable success in single image su...
06/05/2018 ∙ by Lei Zhang, et al. ∙ 4 ∙ share

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End-to-End Diagnosis and Segmentation Learning from Cardiac Magnetic Resonance Imaging

Cardiac magnetic resonance (CMR) is used extensively in the diagnosis an...
10/23/2018 ∙ by Gerard Snaauw, et al. ∙ 4 ∙ share

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Visual Question Answering as Reading Comprehension

Visual question answering (VQA) demands simultaneous comprehension of bo...
11/29/2018 ∙ by Hui Li, et al. ∙ 4 ∙ share

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V-PROM: A Benchmark for Visual Reasoning Using Visual Progressive Matrices

One of the primary challenges faced by deep learning is the degree to wh...
07/29/2019 ∙ by Damien Teney, et al. ∙ 2 ∙ share

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Real-time Semantic Image Segmentation via Spatial Sparsity

We propose an approach to semantic (image) segmentation that reduces the...
12/01/2017 ∙ by Zifeng Wu, et al. ∙ 0 ∙ share

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Visual Question Answering as a Meta Learning Task

The predominant approach to Visual Question Answering (VQA) demands that...
11/22/2017 ∙ by Damien Teney, et al. ∙ 0 ∙ share

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Parallel Attention: A Unified Framework for Visual Object Discovery through Dialogs and Queries

Recognising objects according to a pre-defined fixed set of class labels...
11/17/2017 ∙ by Bohan Zhuang, et al. ∙ 0 ∙ share

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Bayesian Conditional Generative Adverserial Networks

Traditional GANs use a deterministic generator function (typically a neu...
06/17/2017 ∙ by Ehsan Abbasnejad, et al. ∙ 0 ∙ share

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Beyond Low Rank: A Data-Adaptive Tensor Completion Method

Low rank tensor representation underpins much of recent progress in tens...
08/03/2017 ∙ by Lei Zhang, et al. ∙ 0 ∙ share

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When Unsupervised Domain Adaptation Meets Tensor Representations

Domain adaption (DA) allows machine learning methods trained on data sam...
07/19/2017 ∙ by Hao Lu, et al. ∙ 0 ∙ share

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Visually Aligned Word Embeddings for Improving Zero-shot Learning

Zero-shot learning (ZSL) highly depends on a good semantic embedding to ...
07/18/2017 ∙ by Ruizhi Qiao, et al. ∙ 0 ∙ share

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Care about you: towards large-scale human-centric visual relationship detection

Visual relationship detection aims to capture interactions between pairs...
05/28/2017 ∙ by Bohan Zhuang, et al. ∙ 0 ∙ share

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The VQA-Machine: Learning How to Use Existing Vision Algorithms to Answer New Questions

One of the most intriguing features of the Visual Question Answering (VQ...
12/16/2016 ∙ by Peng Wang, et al. ∙ 0 ∙ share

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From Motion Blur to Motion Flow: a Deep Learning Solution for Removing Heterogeneous Motion Blur

Removing pixel-wise heterogeneous motion blur is challenging due to the ...
12/08/2016 ∙ by Dong Gong, et al. ∙ 0 ∙ share

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Wider or Deeper: Revisiting the ResNet Model for Visual Recognition

The trend towards increasingly deep neural networks has been driven by a...
11/30/2016 ∙ by Zifeng Wu, et al. ∙ 0 ∙ share

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Sequential Person Recognition in Photo Albums with a Recurrent Network

Recognizing the identities of people in everyday photos is still a very ...
11/30/2016 ∙ by Yao Li, et al. ∙ 0 ∙ share

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The Shallow End: Empowering Shallower Deep-Convolutional Networks through Auxiliary Outputs

The depth is one of the key factors behind the great success of convolut...
11/06/2016 ∙ by Yong Guo, et al. ∙ 0 ∙ share

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Graph-Structured Representations for Visual Question Answering

This paper proposes to improve visual question answering (VQA) with stru...
09/19/2016 ∙ by Damien Teney, et al. ∙ 0 ∙ share

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FVQA: Fact-based Visual Question Answering

Visual Question Answering (VQA) has attracted a lot of attention in both...
06/17/2016 ∙ by Peng Wang, et al. ∙ 0 ∙ share

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Deep Recurrent Convolutional Networks for Video-based Person Re-identification: An End-to-End Approach

In this paper, we present an end-to-end approach to simultaneously learn...
06/06/2016 ∙ by Lin Wu, et al. ∙ 0 ∙ share

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Deep Linear Discriminant Analysis on Fisher Networks: A Hybrid Architecture for Person Re-identification

Person re-identification is to seek a correct match for a person of inte...
06/06/2016 ∙ by Lin Wu, et al. ∙ 0 ∙ share

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Bridging Category-level and Instance-level Semantic Image Segmentation

We propose an approach to instance-level image segmentation that is buil...
05/23/2016 ∙ by Zifeng Wu, et al. ∙ 0 ∙ share

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High-performance Semantic Segmentation Using Very Deep Fully Convolutional Networks

We propose a method for high-performance semantic image segmentation (or...
04/15/2016 ∙ by Zifeng Wu, et al. ∙ 0 ∙ share

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Less is more: zero-shot learning from online textual documents with noise suppression

Classifying a visual concept merely from its associated online textual s...
04/05/2016 ∙ by Ruizhi Qiao, et al. ∙ 0 ∙ share

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Image Co-localization by Mimicking a Good Detector's Confidence Score Distribution

Given a set of images containing objects from the same category, the tas...
03/15/2016 ∙ by Yao Li, et al. ∙ 0 ∙ share

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Pushing the Limits of Deep CNNs for Pedestrian Detection

Compared to other applications in computer vision, convolutional neural ...
03/15/2016 ∙ by Qichang Hu, et al. ∙ 0 ∙ share

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Exploring Context with Deep Structured models for Semantic Segmentation

State-of-the-art semantic image segmentation methods are mostly based on...
03/10/2016 ∙ by Guosheng Lin, et al. ∙ 0 ∙ share

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Image Captioning and Visual Question Answering Based on Attributes and External Knowledge

Much recent progress in Vision-to-Language problems has been achieved th...
03/09/2016 ∙ by Qi Wu, et al. ∙ 0 ∙ share

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Hi Detector, What's Wrong with that Object? Identifying Irregular Object From Images by Modelling the Detection Score Distribution

In this work, we study the challenging problem of identifying the irregu...
02/14/2016 ∙ by Peng Wang, et al. ∙ 0 ∙ share

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PersonNet: Person Re-identification with Deep Convolutional Neural Networks

In this paper, we propose a deep end-to-end neu- ral network to simultan...
01/27/2016 ∙ by Lin Wu, et al. ∙ 0 ∙ share

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Compositional Model based Fisher Vector Coding for Image Classification

Deriving from the gradient vector of a generative model of local feature...
01/16/2016 ∙ by Lingqiao Liu, et al. ∙ 0 ∙ share

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Structured learning of metric ensembles with application to person re-identification

Matching individuals across non-overlapping camera networks, known as pe...
11/27/2015 ∙ by Sakrapee Paisitkriangkrai, et al. ∙ 0 ∙ share

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Fast detection of multiple objects in traffic scenes with a common detection framework

Traffic scene perception (TSP) aims to real-time extract accurate on-roa...
10/12/2015 ∙ by Qichang Hu, et al. ∙ 0 ∙ share

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Cross-convolutional-layer Pooling for Image Recognition

Recent studies have shown that a Deep Convolutional Neural Network (DCNN...
10/04/2015 ∙ by Lingqiao Liu, et al. ∙ 0 ∙ share

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Mining Mid-level Visual Patterns with Deep CNN Activations

The purpose of mid-level visual element discovery is to find clusters of...
06/21/2015 ∙ by Yao Li, et al. ∙ 0 ∙ share

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Image-based Recommendations on Styles and Substitutes

Humans inevitably develop a sense of the relationships between objects, ...
06/15/2015 ∙ by Julian McAuley, et al. ∙ 0 ∙ share

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Deeply Learning the Messages in Message Passing Inference

Deep structured output learning shows great promise in tasks like semant...
06/06/2015 ∙ by Guosheng Lin, et al. ∙ 0 ∙ share

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What value do explicit high level concepts have in vision to language problems?

Much of the recent progress in Vision-to-Language (V2L) problems has bee...
06/03/2015 ∙ by Qi Wu, et al. ∙ 0 ∙ share

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Anton van den Hengel

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