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.

CoTr: Efficiently Bridging CNN and Transformer for 3D Medical Image Segmentation

Convolutional neural networks (CNNs) have been the de facto standard for...
03/04/2021 ∙ by Yutong Xie, et al. ∙ 0 ∙ share

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Instance and Panoptic Segmentation Using Conditional Convolutions

We propose a simple yet effective framework for instance and panoptic se...
02/05/2021 ∙ by Zhi Tian, et al. ∙ 0 ∙ share

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Object Detection Made Simpler by Eliminating Heuristic NMS

We show a simple NMS-free, end-to-end object detection framework, of whi...
01/28/2021 ∙ by Qiang Zhou, et al. ∙ 13 ∙ share

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Multi-intersection Traffic Optimisation: A Benchmark Dataset and a Strong Baseline

The control of traffic signals is fundamental and critical to alleviate ...
01/24/2021 ∙ by Hu Wang, et al. ∙ 0 ∙ share

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ABS: Automatic Bit Sharing for Model Compression

We present Automatic Bit Sharing (ABS) to automatically search for optim...
01/13/2021 ∙ by Jing Liu, et al. ∙ 0 ∙ share

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Memory-Efficient Hierarchical Neural Architecture Search for Image Restoration

Recently, much attention has been spent on neural architecture search (N...
12/24/2020 ∙ by Haokui Zhang, et al. ∙ 8 ∙ share

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Diverse Knowledge Distillation for End-to-End Person Search

Person search aims to localize and identify a specific person from a gal...
12/21/2020 ∙ by Xinyu Zhang, et al. ∙ 0 ∙ share

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Learning to Recover 3D Scene Shape from a Single Image

Despite significant progress in monocular depth estimation in the wild, ...
12/17/2020 ∙ by Wei Yin, et al. ∙ 0 ∙ share

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Hyperspectral Classification Based on Lightweight 3-D-CNN With Transfer Learning

Recently, hyperspectral image (HSI) classification approaches based on d...
12/07/2020 ∙ by Haokui Zhang, et al. ∙ 6 ∙ share

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BoxInst: High-Performance Instance Segmentation with Box Annotations

We present a high-performance method that can achieve mask-level instanc...
12/03/2020 ∙ by Zhi Tian, et al. ∙ 0 ∙ share

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End-to-End Video Instance Segmentation with Transformers

Video instance segmentation (VIS) is the task that requires simultaneous...
11/30/2020 ∙ by Yuqing Wang, et al. ∙ 0 ∙ share

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Learning Affinity-Aware Upsampling for Deep Image Matting

We show that learning affinity in upsampling provides an effective and e...
11/29/2020 ∙ by Yutong Dai, et al. ∙ 0 ∙ share

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Fully Quantized Image Super-Resolution Networks

With the rising popularity of intelligent mobile devices, it is of great...
11/29/2020 ∙ by Hu Wang, et al. ∙ 0 ∙ share

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DyCo3D: Robust Instance Segmentation of 3D Point Clouds through Dynamic Convolution

Previous top-performing approaches for point cloud instance segmentation...
11/26/2020 ∙ by Tong He, et al. ∙ 0 ∙ share

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PGL: Prior-Guided Local Self-supervised Learning for 3D Medical Image Segmentation

It has been widely recognized that the success of deep learning in image...
11/25/2020 ∙ by Yutong Xie, et al. ∙ 20 ∙ share

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Graph Attention Tracking

Siamese network based trackers formulate the visual tracking task as a s...
11/23/2020 ∙ by Dongyan Guo, et al. ∙ 0 ∙ share

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Robust Watermarking Using Inverse Gradient Attention

Watermarking is the procedure of encoding desired information into an im...
11/21/2020 ∙ by Honglei Zhang, et al. ∙ 0 ∙ share

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DoDNet: Learning to segment multi-organ and tumors from multiple partially labeled datasets

Due to the intensive cost of labor and expertise in annotating 3D medica...
11/20/2020 ∙ by Jianpeng Zhang, et al. ∙ 0 ∙ share

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Unifying Instance and Panoptic Segmentation with Dynamic Rank-1 Convolutions

Recently, fully-convolutional one-stage networks have shown superior per...
11/19/2020 ∙ by Hao Chen, et al. ∙ 0 ∙ share

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Dense Contrastive Learning for Self-Supervised Visual Pre-Training

To date, most existing self-supervised learning methods are designed and...
11/18/2020 ∙ by Xinlong Wang, et al. ∙ 2 ∙ share

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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. ∙ 40 ∙ 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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Chunhua Shen

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