Qi Wu

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City University of Hong Kong ∙ The University of Adelaide

Senior Lecturer at University of Adelaide

Deep Template Matching for Offline Handwritten Chinese Character Recognition

Just like its remarkable achievements in many computer vision tasks, the...
11/15/2018 ∙ by Zhiyuan Li, et al. ∙ 8 ∙ 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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Kill Two Birds with One Stone: Weakly-Supervised Neural Network for Image Annotation and Tag Refinement

The number of social images has exploded by the wide adoption of social ...
11/19/2017 ∙ by Junjie Zhang, 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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Classification of Medical Images and Illustrations in the Biomedical Literature Using Synergic Deep Learning

The Classification of medical images and illustrations in the literature...
06/28/2017 ∙ by Jianpeng Zhang, 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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Learning Semantic Concepts and Order for Image and Sentence Matching

Image and sentence matching has made great progress recently, but it rem...
12/06/2017 ∙ by Yan Huang, 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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Multi-Label Image Classification with Regional Latent Semantic Dependencies

Deep convolution neural networks (CNN) have demonstrated advanced perfor...
12/04/2016 ∙ by Junjie Zhang, 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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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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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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The Cross-Depiction Problem: Computer Vision Algorithms for Recognising Objects in Artwork and in Photographs

The cross-depiction problem is that of recognising visual objects regard...
05/01/2015 ∙ by Hongping Cai, et al. ∙ 0 ∙ share

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Explicit Knowledge-based Reasoning for Visual Question Answering

We describe a method for visual question answering which is capable of r...
11/09/2015 ∙ by Peng Wang, et al. ∙ 0 ∙ share

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Asking the Difficult Questions: Goal-Oriented Visual Question Generation via Intermediate Rewards

Despite significant progress in a variety of vision-and-language problem...
11/21/2017 ∙ by Junjie Zhang, et al. ∙ 0 ∙ share

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Are You Talking to Me? Reasoned Visual Dialog Generation through Adversarial Learning

The Visual Dialogue task requires an agent to engage in a conversation a...
11/21/2017 ∙ by Qi Wu, et al. ∙ 0 ∙ share

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Vision-and-Language Navigation: Interpreting visually-grounded navigation instructions in real environments

A robot that can carry out a natural-language instruction has been a dre...
11/20/2017 ∙ by Peter Anderson, et al. ∙ 0 ∙ share

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An Active Information Seeking Model for Goal-oriented Vision-and-Language Tasks

As Computer Vision algorithms move from passive analysis of pixels to ac...
12/16/2018 ∙ by Ehsan Abbasnejad, et al. ∙ 0 ∙ share

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What's to know? Uncertainty as a Guide to Asking Goal-oriented Questions

One of the core challenges in Visual Dialogue problems is asking the que...
12/16/2018 ∙ by Ehsan Abbasnejad, et al. ∙ 0 ∙ share

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You Only Look & Listen Once: Towards Fast and Accurate Visual Grounding

Visual Grounding (VG) aims to locate the most relevant region in an imag...
02/12/2019 ∙ by Chaorui Deng, et al. ∙ 0 ∙ share

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Topological Data Analysis Made Easy with the Topology ToolKit

This tutorial presents topological methods for the analysis and visualiz...
06/21/2018 ∙ by Guillaume Favelier, et al. ∙ 0 ∙ share

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Show, Price and Negotiate: A Hierarchical Attention Recurrent Visual Negotiator

Negotiation, as a seller or buyer, is an essential and complicated aspec...
05/07/2019 ∙ by Amin Parvaneh, et al. ∙ 0 ∙ share

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Neural Learning of Online Consumer Credit Risk

This paper takes a deep learning approach to understand consumer credit ...
06/05/2019 ∙ by Di Wang, et al. ∙ 0 ∙ share

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Understanding Distributional Ambiguity via Non-robust Chance Constraint

The choice of the ambiguity radius is critical when an investor uses the...
06/03/2019 ∙ by Qi Wu, et al. ∙ 0 ∙ share

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Integrating Temporal and Spatial Attentions for VATEX Video Captioning Challenge 2019

This notebook paper presents our model in the VATEX video captioning cha...
10/15/2019 ∙ by Shizhe Chen, et al. ∙ 0 ∙ share

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DualVD: An Adaptive Dual Encoding Model for Deep Visual Understanding in Visual Dialogue

Different from Visual Question Answering task that requires to answer on...
11/17/2019 ∙ by Xiaoze Jiang, et al. ∙ 0 ∙ share

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Diva: A Declarative and Reactive Language for In-Situ Visualization

The use of adaptive workflow management for in situ visualization and an...
01/30/2020 ∙ by Qi Wu, et al. ∙ 0 ∙ share

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Qi Wu

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