University of Technology Sydney

∙ Ultimo , Australia ∙ 0 followers

Australia's #1 Young university, focused on making a difference through leading research, and inspiring education.

Featured Researchers

Wei Wang
225 publications
Dacheng Tao
221 publications
Wei Liu
211 publications
Yi Yang
145 publications
Shuicheng Yan
120 publications
Jian Zhang
102 publications
Jun Li
93 publications
Zhiyuan Liu
81 publications
Yang Li
74 publications
Liang Zhao
68 publications
Yan Yan
66 publications

Transform-Invariant Convolutional Neural Networks for Image Classification and Search

Convolutional neural networks (CNNs) have achieved state-of-the-art resu...
11/28/2019 ∙ by Xu Shen, et al. ∙ 32 ∙ share

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Interpretable Time-series Classification on Few-shot Samples

Recent few-shot learning works focus on training a model with prior meta...
06/03/2020 ∙ by Wensi Tang, et al. ∙ 29 ∙ share

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Reliability Does Matter: An End-to-End Weakly Supervised Semantic Segmentation Approach

Weakly supervised semantic segmentation is a challenging task as it only...
11/19/2019 ∙ by Bingfeng Zhang, et al. ∙ 27 ∙ share

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Potential Passenger Flow Prediction: A Novel Study for Urban Transportation Development

Recently, practical applications for passenger flow prediction have brou...
12/07/2019 ∙ by Yongshun Gong, et al. ∙ 24 ∙ share

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Heterogeneous Multi-task Metric Learning across Multiple Domains

Distance metric learning (DML) plays a crucial role in diverse machine l...
04/08/2019 ∙ by Yong Luo, et al. ∙ 22 ∙ share

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Large Margin Multi-modal Multi-task Feature Extraction for Image Classification

The features used in many image analysis-based applications are frequent...
04/08/2019 ∙ by Yong Luo, et al. ∙ 20 ∙ share

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Shakeout: A New Approach to Regularized Deep Neural Network Training

Recent years have witnessed the success of deep neural networks in deali...
04/13/2019 ∙ by Guoliang Kang, et al. ∙ 20 ∙ share

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Correlated Logistic Model With Elastic Net Regularization for Multilabel Image Classification

In this paper, we present correlated logistic (CorrLog) model for multil...
04/17/2019 ∙ by Qiang Li, et al. ∙ 18 ∙ share

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Searching for A Robust Neural Architecture in Four GPU Hours

Conventional neural architecture search (NAS) approaches are based on re...
10/10/2019 ∙ by Xuanyi Dong, et al. ∙ 18 ∙ share

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Bridging the Theoretical Bound and Deep Algorithms for Open Set Domain Adaptation

In the unsupervised open set domain adaptation (UOSDA), the target domai...
06/23/2020 ∙ by Li Zhong, et al. ∙ 17 ∙ share

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Continuous Dropout

Dropout has been proven to be an effective algorithm for training robust...
11/28/2019 ∙ by Xu Shen, et al. ∙ 16 ∙ share

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More Than Privacy: Applying Differential Privacy in Key Areas of Artificial Intelligence

Artificial Intelligence (AI) has attracted a great deal of attention in ...
08/05/2020 ∙ by Tianqing Zhu, et al. ∙ 16 ∙ share

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See More Than Once -- Kernel-Sharing Atrous Convolution for Semantic Segmentation

The state-of-the-art semantic segmentation solutions usually leverage di...
08/26/2019 ∙ by Ye Huang, et al. ∙ 15 ∙ share

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Cubic LSTMs for Video Prediction

Predicting future frames in videos has become a promising direction of r...
04/20/2019 ∙ by Hehe Fan, et al. ∙ 14 ∙ share

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PDANet: Pyramid Density-aware Attention Net for Accurate Crowd Counting

Crowd counting, i.e., estimating the number of people in a crowded area,...
01/16/2020 ∙ by Saeed Amirgholipour, et al. ∙ 14 ∙ share

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On the Neural Tangent Kernel of Deep Networks with Orthogonal Initialization

In recent years, a critical initialization scheme with orthogonal initia...
04/13/2020 ∙ by Wei Huang, et al. ∙ 14 ∙ share

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Binarized Graph Neural Network

Recently, there have been some breakthroughs in graph analysis by applyi...
04/19/2020 ∙ by Hanchen Wang, et al. ∙ 14 ∙ share

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Unsupervised Scene Adaptation with Memory Regularization in vivo

We consider the unsupervised scene adaptation problem of learning from b...
12/24/2019 ∙ by Zhedong Zheng, et al. ∙ 13 ∙ share

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RDP-GAN: A Rényi-Differential Privacy based Generative Adversarial Network

Generative adversarial network (GAN) has attracted increasing attention ...
07/04/2020 ∙ by Chuan Ma, et al. ∙ 13 ∙ share

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Instance-Invariant Adaptive Object Detection via Progressive Disentanglement

Most state-of-the-art methods of object detection suffer from poor gener...
11/20/2019 ∙ by Aming Wu, et al. ∙ 11 ∙ share

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Gaussian Process Latent Variable Model Factorization for Context-aware Recommender Systems

Context-aware recommender systems (CARS) have gained increasing attentio...
12/19/2019 ∙ by Wei Huang, et al. ∙ 11 ∙ share

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Supervised Discriminative Sparse PCA with Adaptive Neighbors for Dimensionality Reduction

Dimensionality reduction is an important operation in information visual...
01/09/2020 ∙ by Zhenhua Shi, et al. ∙ 11 ∙ share

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Multi-View Intact Space Learning

It is practical to assume that an individual view is unlikely to be suff...
04/04/2019 ∙ by Chang Xu, et al. ∙ 10 ∙ share

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Learning to Transfer Learn

We propose a novel framework, learning to transfer learn (L2TL), to impr...
08/29/2019 ∙ by Linchao Zhu, et al. ∙ 10 ∙ share

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Rectifying Pseudo Label Learning via Uncertainty Estimation for Domain Adaptive Semantic Segmentation

This paper focuses on the unsupervised domain adaptation of transferring...
03/08/2020 ∙ by Zhedong Zheng, et al. ∙ 10 ∙ share

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Memory Aggregation Networks for Efficient Interactive Video Object Segmentation

Interactive video object segmentation (iVOS) aims at efficiently harvest...
03/30/2020 ∙ by Jiaxu Miao, et al. ∙ 10 ∙ share

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Multi-Center Federated Learning

Federated learning has received great attention for its capability to tr...
05/03/2020 ∙ by Ming Xie, et al. ∙ 10 ∙ share

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Path Integral Based Convolution and Pooling for Graph Neural Networks

Graph neural networks (GNNs) extends the functionality of traditional ne...
06/29/2020 ∙ by Zheng Ma, et al. ∙ 10 ∙ share

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Understanding Human Context in 3D Scenes by Learning Spatial Affordances with Virtual Skeleton Models

Robots are often required to operate in environments where humans are no...
06/13/2019 ∙ by Lasitha Piyathilaka, et al. ∙ 9 ∙ share

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TOAN: Target-Oriented Alignment Network for Fine-Grained Image Categorization with Few Labeled Samples

The challenges of high intra-class variance yet low inter-class fluctuat...
05/28/2020 ∙ by Huaxi Huang, et al. ∙ 9 ∙ share

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Pumpout: A Meta Approach for Robustly Training Deep Neural Networks with Noisy Labels

It is challenging to train deep neural networks robustly on the industri...
09/28/2018 ∙ by Bo Han, et al. ∙ 8 ∙ share

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BIT: Biologically Inspired Tracker

Visual tracking is challenging due to image variations caused by various...
04/23/2019 ∙ by Bolun Cai, et al. ∙ 8 ∙ share

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Face Hallucination with Finishing Touches

Obtaining a high-quality frontal face image from a low-resolution (LR) n...
02/09/2020 ∙ by Yang Zhang, et al. ∙ 8 ∙ share

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Robust Tensor Decomposition for Image Representation Based on Generalized Correntropy

Traditional tensor decomposition methods, e.g., two dimensional principa...
05/10/2020 ∙ by Miaohua Zhang, et al. ∙ 8 ∙ share

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Structured Discriminative Tensor Dictionary Learning for Unsupervised Domain Adaptation

Unsupervised Domain Adaptation (UDA) addresses the problem of performanc...
05/11/2019 ∙ by Songsong Wu, et al. ∙ 7 ∙ share

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A Distributed Approach towards Discriminative Distance Metric Learning

Distance metric learning is successful in discovering intrinsic relation...
05/11/2019 ∙ by Jun Li, et al. ∙ 7 ∙ share

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Domain-adversarial Network Alignment

Network alignment is a critical task to a wide variety of fields. Many e...
08/15/2019 ∙ by Huiting Hong, et al. ∙ 7 ∙ share

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SBSGAN: Suppression of Inter-Domain Background Shift for Person Re-Identification

Cross-domain person re-identification (re-ID) is challenging due to the ...
08/24/2019 ∙ by Yan Huang, et al. ∙ 7 ∙ share

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Knowledge-guided Deep Reinforcement Learning for Interactive Recommendation

Interactive recommendation aims to learn from dynamic interactions betwe...
04/17/2020 ∙ by Xiaocong Chen, et al. ∙ 7 ∙ share

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Adaptive Graph Convolutional Recurrent Network for Traffic Forecasting

Modeling complex spatial and temporal correlations in the correlated tim...
07/06/2020 ∙ by Lei Bai, et al. ∙ 7 ∙ share

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Prototype Propagation Networks (PPN) for Weakly-supervised Few-shot Learning on Category Graph

A variety of machine learning applications expect to achieve rapid learn...
05/10/2019 ∙ by Lu Liu, et al. ∙ 6 ∙ share

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Very Long Natural Scenery Image Prediction by Outpainting

Comparing to image inpainting, image outpainting receives less attention...
12/29/2019 ∙ by Zongxin Yang, et al. ∙ 6 ∙ share

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GID-Net: Detecting Human-Object Interaction with Global and Instance Dependency

Since detecting and recognizing individual human or object are not adequ...
03/11/2020 ∙ by Dongming Yang, et al. ∙ 6 ∙ share

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Probabilistic CCA with Implicit Distributions

Canonical Correlation Analysis (CCA) is a classic technique for multi-vi...
07/04/2019 ∙ by Yaxin Shi, et al. ∙ 5 ∙ share

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Teacher Supervises Students How to Learn From Partially Labeled Images for Facial Landmark Detection

Facial landmark detection aims to localize the anatomically defined poin...
08/06/2019 ∙ by Xuanyi Dong, et al. ∙ 5 ∙ share

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Multi-scale discriminative Region Discovery for Weakly-Supervised Object Localization

Localizing objects with weak supervision in an image is a key problem of...
09/24/2019 ∙ by Pei Lv, et al. ∙ 5 ∙ share

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University-1652: A Multi-view Multi-source Benchmark for Drone-based Geo-localization

We consider the problem of cross-view geo-localization. The primary chal...
02/27/2020 ∙ by Zhedong Zheng, et al. ∙ 5 ∙ share

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Meta3D: Single-View 3D Object Reconstruction from Shape Priors in Memory

3D shape reconstruction from a single-view RGB image is an ill-posed pro...
03/08/2020 ∙ by Shuo Yang, et al. ∙ 5 ∙ share

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VehicleNet: Learning Robust Visual Representation for Vehicle Re-identification

One fundamental challenge of vehicle re-identification (re-id) is to lea...
04/14/2020 ∙ by Zhedong Zheng, et al. ∙ 5 ∙ share

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Many-Class Few-Shot Learning on Multi-Granularity Class Hierarchy

We study many-class few-shot (MCFS) problem in both supervised learning ...
06/28/2020 ∙ by Lu Liu, et al. ∙ 5 ∙ share

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