Chunhua Shen

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CSIRO ∙ The University of Adelaide ∙ Apple, Inc.

I am a Professor of Computer Science at University of Adelaide, leading the Statistical Machine Learning Group at School of Computer Science and Australian Institute for Machine Learning.

Deep Reinforcement Learning for Unknown Anomaly Detection

We address a critical yet largely unsolved anomaly detection problem, in...
09/15/2020 ∙ by Guansong Pang, et al. ∙ 35 ∙ share

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Representative Graph Neural Network

Non-local operation is widely explored to model the long-range dependenc...
08/12/2020 ∙ by Changqian Yu, et al. ∙ 0 ∙ share

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FATNN: Fast and Accurate Ternary Neural Networks

Ternary Neural Networks (TNNs) have received much attention due to being...
08/12/2020 ∙ by Peng Chen, et al. ∙ 10 ∙ share

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Pairwise Relation Learning for Semi-supervised Gland Segmentation

Accurate and automated gland segmentation on histology tissue images is ...
08/06/2020 ∙ by Yutong Xie, et al. ∙ 4 ∙ share

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AE TextSpotter: Learning Visual and Linguistic Representation for Ambiguous Text Spotting

Scene text spotting aims to detect and recognize the entire word or sent...
08/03/2020 ∙ by Wenhai Wang, et al. ∙ 0 ∙ share

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Improving Generative Adversarial Networks with Local Coordinate Coding

Generative adversarial networks (GANs) have shown remarkable success in ...
07/28/2020 ∙ by Jiezhang Cao, et al. ∙ 4 ∙ share

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Soft Expert Reward Learning for Vision-and-Language Navigation

Vision-and-Language Navigation (VLN) requires an agent to find a specifi...
07/21/2020 ∙ by Hu Wang, et al. ∙ 0 ∙ share

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Weighing Counts: Sequential Crowd Counting by Reinforcement Learning

We formulate counting as a sequential decision problem and present a nov...
07/16/2020 ∙ by Liang Liu, et al. ∙ 17 ∙ share

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AQD: Towards Accurate Quantized Object Detection

Network quantization aims to lower the bitwidth of weights and activatio...
07/14/2020 ∙ by Jing Liu, et al. ∙ 7 ∙ share

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Deep Learning for Anomaly Detection: A Review

Anomaly detection, a.k.a. outlier detection, has been a lasting yet acti...
07/06/2020 ∙ by Guansong Pang, et al. ∙ 59 ∙ share

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FCOS: A simple and strong anchor-free object detector

In computer vision, object detection is one of most important tasks, whi...
06/14/2020 ∙ by Zhi Tian, et al. ∙ 17 ∙ share

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A Robust Attentional Framework for License Plate Recognition in the Wild

Recognizing car license plates in natural scene images is an important y...
06/06/2020 ∙ by Linjiang Zhang, et al. ∙ 18 ∙ share

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Unsupervised Depth Learning in Challenging Indoor Video: Weak Rectification to Rescue

Single-view depth estimation using CNNs trained from unlabelled videos h...
06/04/2020 ∙ by Jia-Wang Bian, et al. ∙ 0 ∙ share

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Scope Head for Accurate Localizationin Object Detection

Existing anchor-based and anchor-free object detectors in multi-stage or...
05/11/2020 ∙ by Geng Zhan, et al. ∙ 6 ∙ share

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Scope Head for Accurate Localization in Object Detection

Existing anchor-based and anchor-free object detectors in multi-stage or...
05/11/2020 ∙ by Geng Zhan, et al. ∙ 0 ∙ share

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Scene Text Image Super-Resolution in the Wild

Low-resolution text images are often seen in natural scenes such as docu...
05/07/2020 ∙ by Wenjia Wang, et al. ∙ 0 ∙ share

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BiSeNet V2: Bilateral Network with Guided Aggregation for Real-time Semantic Segmentation

The low-level details and high-level semantics are both essential to the...
04/05/2020 ∙ by Changqian Yu, et al. ∙ 0 ∙ share

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Context Prior for Scene Segmentation

Recent works have widely explored the contextual dependencies to achieve...
04/03/2020 ∙ by Changqian Yu, et al. ∙ 0 ∙ share

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Segmenting Transparent Objects in the Wild

Transparent objects such as windows and bottles made by glass widely exi...
03/31/2020 ∙ by Enze Xie, et al. ∙ 0 ∙ share

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COVID-19 Screening on Chest X-ray Images Using Deep Learning based Anomaly Detection

Coronaviruses are important human and animal pathogens. To date the nove...
03/27/2020 ∙ by Jianpeng Zhang, et al. ∙ 18 ∙ share

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Mask Encoding for Single Shot Instance Segmentation

To date, instance segmentation is dominated by twostage methods, as pion...
03/26/2020 ∙ by Rufeng Zhang, et al. ∙ 7 ∙ share

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SOLOv2: Dynamic, Faster and Stronger

In this work, we aim at building a simple, direct, and fast instance seg...
03/23/2020 ∙ by Xinlong Wang, et al. ∙ 23 ∙ share

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Real-time Image Smoothing via Iterative Least Squares

Edge-preserving image smoothing is a fundamental procedure for many comp...
03/17/2020 ∙ by Wei Liu, et al. ∙ 0 ∙ share

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Self-trained Deep Ordinal Regression for End-to-End Video Anomaly Detection

Video anomaly detection is of critical practical importance to a variety...
03/15/2020 ∙ by Guansong Pang, et al. ∙ 1 ∙ share

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DeepEMD: Few-Shot Image Classification with Differentiable Earth Mover's Distance and Structured Classifiers

In this paper, we address the few-shot classification task from a new pe...
03/15/2020 ∙ by Chi Zhang, et al. ∙ 63 ∙ share

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Conditional Convolutions for Instance Segmentation

We propose a simple yet effective instance segmentation framework, terme...
03/12/2020 ∙ by Zhi Tian, et al. ∙ 7 ∙ share

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Efficient Semantic Video Segmentation with Per-frame Inference

In semantic segmentation, most existing real-time deep models trained wi...
02/26/2020 ∙ by Yifan Liu, et al. ∙ 0 ∙ 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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ABCNet: Real-time Scene Text Spotting with Adaptive Bezier-Curve Network

Scene text detection and recognition has received increasing research at...
02/24/2020 ∙ by Yuliang Liu, et al. ∙ 17 ∙ share

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Joint Deep Learning of Facial Expression Synthesis and Recognition

Recently, deep learning based facial expression recognition (FER) method...
02/06/2020 ∙ by Yan Yan, et al. ∙ 5 ∙ share

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DiverseDepth: Affine-invariant Depth Prediction Using Diverse Data

We present a method for depth estimation with monocular images, which ca...
02/03/2020 ∙ by Wei Yin, et al. ∙ 8 ∙ share

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Separating Content from Style Using Adversarial Learning for Recognizing Text in the Wild

In this work we propose to improve text recognition from a new perspecti...
01/13/2020 ∙ by Canjie Luo, et al. ∙ 27 ∙ share

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Memorizing Comprehensively to Learn Adaptively: Unsupervised Cross-Domain Person Re-ID with Multi-level Memory

Unsupervised cross-domain person re-identification (Re-ID) aims to adapt...
01/13/2020 ∙ by Xinyu Zhang, et al. ∙ 4 ∙ share

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From Open Set to Closed Set: Supervised Spatial Divide-and-Conquer for Object Counting

Visual counting, a task that aims to estimate the number of objects from...
01/07/2020 ∙ by Haipeng Xiong, et al. ∙ 20 ∙ share

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Learning and Memorizing Representative Prototypes for 3D Point Cloud Semantic and Instance Segmentation

3D point cloud semantic and instance segmentation is crucial and fundame...
01/06/2020 ∙ by Tong He, et al. ∙ 17 ∙ share

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BlendMask: Top-Down Meets Bottom-Up for Instance Segmentation

Instance segmentation is one of the fundamental vision tasks. Recently, ...
01/02/2020 ∙ by Hao Chen, et al. ∙ 29 ∙ share

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Ordered or Orderless: A Revisit for Video based Person Re-Identification

Is recurrent network really necessary for learning a good visual represe...
12/24/2019 ∙ by Le Zhang, et al. ∙ 0 ∙ share

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Unsupervised Representation Learning by Predicting Random Distances

Deep neural networks have gained tremendous success in a broad range of ...
12/22/2019 ∙ by Hu Wang, et al. ∙ 0 ∙ share

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Exploring the Capacity of Sequential-free Box Discretization Network for Omnidirectional Scene Text Detection

Omnidirectional scene text detection has received increasing research at...
12/20/2019 ∙ by Yuliang Liu, et al. ∙ 24 ∙ share

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SOLO: Segmenting Objects by Locations

We present a new, embarrassingly simple approach to instance segmentatio...
12/10/2019 ∙ by Xinlong Wang, et al. ∙ 27 ∙ share

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To Balance or Not to Balance: An Embarrassingly Simple Approach for Learning with Long-Tailed Distributions

Real-world visual data often exhibits a long-tailed distribution, where ...
12/10/2019 ∙ by Junjie Zhang, et al. ∙ 0 ∙ share

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Unified Multifaceted Feature Learning for Person Re-Identification

Person re-identification (ReID) aims at re-identifying persons from diff...
11/20/2019 ∙ by Cheng Yan, et al. ∙ 0 ∙ 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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DirectPose: Direct End-to-End Multi-Person Pose Estimation

We propose the first direct end-to-end multi-person pose estimation fram...
11/18/2019 ∙ by Zhi Tian, et al. ∙ 0 ∙ share

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Multi-marginal Wasserstein GAN

Multiple marginal matching problem aims at learning mappings to match a ...
11/03/2019 ∙ by Jiezhang Cao, et al. ∙ 7 ∙ 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 Multiphase Level Set for Scene Parsing

Recently, Fully Convolutional Network (FCN) seems to be the go-to archit...
10/08/2019 ∙ by Pingping Zhang, et al. ∙ 0 ∙ share

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PolarMask: Single Shot Instance Segmentation with Polar Representation

In this paper, we introduce an anchor-box free and single shot instance ...
09/29/2019 ∙ by Enze Xie, et al. ∙ 23 ∙ share

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Structured Binary Neural Networks for Image Recognition

We propose methods to train convolutional neural networks (CNNs) with bo...
09/22/2019 ∙ by Bohan Zhuang, et al. ∙ 0 ∙ share

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IR-NAS: Neural Architecture Search for Image Restoration

Recently, neural architecture search (NAS) methods have attracted much a...
09/18/2019 ∙ by Haokui Zhang, et al. ∙ 6 ∙ share

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Chunhua Shen

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