Wanli Ouyang

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The University of Sydney ∙ The Chinese University of Hong Kong

Associate Professor at the University of Sydney

Crowd Counting with Deep Structured Scale Integration Network

Automatic estimation of the number of people in unconstrained crowded sc...
08/23/2019 ∙ by Lingbo Liu, et al. ∙ 49 ∙ share

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Computation Reallocation for Object Detection

The allocation of computation resources in the backbone is a crucial iss...
12/24/2019 ∙ by Feng Liang, et al. ∙ 27 ∙ share

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A Shape Transformation-based Dataset Augmentation Framework for Pedestrian Detection

Deep learning-based computer vision is usually data-hungry. Many researc...
12/15/2019 ∙ by Zhe Chen, et al. ∙ 23 ∙ share

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GradNet: Gradient-Guided Network for Visual Object Tracking

The fully-convolutional siamese network based on template matching has s...
09/15/2019 ∙ by Peixia Li, et al. ∙ 17 ∙ share

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Improving One-shot NAS by Suppressing the Posterior Fading

There is a growing interest in automated neural architecture search (NAS...
10/06/2019 ∙ by Xiang Li, et al. ∙ 15 ∙ share

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IntersectGAN: Learning Domain Intersection for Generating Images with Multiple Attributes

Generative adversarial networks (GANs) have demonstrated great success i...
09/21/2019 ∙ by Zehui Yao, et al. ∙ 14 ∙ share

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Learning 3D Human Shape and Pose from Dense Body Parts

Reconstructing 3D human shape and pose from a monocular image is challen...
12/31/2019 ∙ by Hongwen Zhang, et al. ∙ 14 ∙ share

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EcoNAS: Finding Proxies for Economical Neural Architecture Search

Neural Architecture Search (NAS) achieves significant progress in many c...
01/05/2020 ∙ by Dongzhan Zhou, et al. ∙ 11 ∙ share

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Multi-Object Tracking with Multiple Cues and Switcher-Aware Classification

In this paper, we propose a unified Multi-Object Tracking (MOT) framewor...
01/18/2019 ∙ by Weitao Feng, et al. ∙ 10 ∙ share

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TRB: A Novel Triplet Representation for Understanding 2D Human Body

Human pose and shape are two important components of 2D human body. Howe...
10/25/2019 ∙ by Haodong Duan, et al. ∙ 10 ∙ share

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Structured Modeling of Joint Deep Feature and Prediction Refinement for Salient Object Detection

Recent saliency models extensively explore to incorporate multi-scale co...
09/10/2019 ∙ by Yingyue Xu, et al. ∙ 9 ∙ share

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AM-LFS: AutoML for Loss Function Search

Designing an effective loss function plays an important role in visual a...
05/17/2019 ∙ by Chuming Li, et al. ∙ 7 ∙ share

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Hybrid Task Cascade for Instance Segmentation

Cascade is a classic yet powerful architecture that has boosted performa...
01/22/2019 ∙ by Kai Chen, et al. ∙ 6 ∙ share

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WIDER Face and Pedestrian Challenge 2018: Methods and Results

This paper presents a review of the 2018 WIDER Challenge on Face and Ped...
02/19/2019 ∙ by Chen Change Loy, et al. ∙ 6 ∙ share

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Online Hyper-parameter Learning for Auto-Augmentation Strategy

Data augmentation is critical to the success of modern deep learning tec...
05/17/2019 ∙ by Chen Lin, et al. ∙ 6 ∙ share

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Equalization Loss for Long-Tailed Object Recognition

Object recognition techniques using convolutional neural networks (CNN) ...
03/11/2020 ∙ by Jingru Tan, et al. ∙ 6 ∙ share

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Contextualized Spatial-Temporal Network for Taxi Origin-Destination Demand Prediction

Taxi demand prediction has recently attracted increasing research intere...
05/15/2019 ∙ by Lingbo Liu, et al. ∙ 3 ∙ share

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PAD-Net: Multi-Tasks Guided Prediction-and-Distillation Network for Simultaneous Depth Estimation and Scene Parsing

Depth estimation and scene parsing are two particularly important tasks ...
05/11/2018 ∙ by Dan Xu, et al. ∙ 2 ∙ share

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Deep Continuous Conditional Random Fields with Asymmetric Inter-object Constraints for Online Multi-object Tracking

Online Multi-Object Tracking (MOT) is a challenging problem and has many...
06/04/2018 ∙ by Hui Zhou, et al. ∙ 2 ∙ share

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Box-driven Class-wise Region Masking and Filling Rate Guided Loss for Weakly Supervised Semantic Segmentation

Semantic segmentation has achieved huge progress via adopting deep Fully...
04/26/2019 ∙ by Chunfeng Song, et al. ∙ 2 ∙ share

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MMDetection: Open MMLab Detection Toolbox and Benchmark

We present MMDetection, an object detection toolbox that contains a rich...
06/17/2019 ∙ by Kai Chen, et al. ∙ 1 ∙ share

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Optical Flow Guided Feature: A Fast and Robust Motion Representation for Video Action Recognition

Motion representation plays a vital role in human action recognition in ...
11/29/2017 ∙ by Shuyang Sun, et al. ∙ 0 ∙ share

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Visual Question Generation as Dual Task of Visual Question Answering

Recently visual question answering (VQA) and visual question generation ...
09/21/2017 ∙ by Yikang Li, et al. ∙ 0 ∙ share

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Zoom Out-and-In Network with Map Attention Decision for Region Proposal and Object Detection

In this paper, we propose a zoom-out-and-in network for generating objec...
09/13/2017 ∙ by Hongyang Li, et al. ∙ 0 ∙ share

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Online Multi-Object Tracking Using CNN-based Single Object Tracker with Spatial-Temporal Attention Mechanism

In this paper, we propose a CNN-based framework for online MOT. This fra...
08/09/2017 ∙ by Qi Chu, et al. ∙ 0 ∙ share

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Learning Feature Pyramids for Human Pose Estimation

Articulated human pose estimation is a fundamental yet challenging task ...
08/03/2017 ∙ by Wei Yang, et al. ∙ 0 ∙ share

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Scene Graph Generation from Objects, Phrases and Region Captions

Object detection, scene graph generation and region captioning, which ar...
07/31/2017 ∙ by Yikang Li, et al. ∙ 0 ∙ share

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Learning Deep Representations for Scene Labeling with Semantic Context Guided Supervision

Scene labeling is a challenging classification problem where each input ...
06/08/2017 ∙ by Zhe Wang, et al. ∙ 0 ∙ share

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Quality Aware Network for Set to Set Recognition

This paper targets on the problem of set to set recognition, which learn...
04/11/2017 ∙ by Yu Liu, et al. ∙ 0 ∙ share

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Learning Cross-Modal Deep Representations for Robust Pedestrian Detection

This paper presents a novel method for detecting pedestrians under adver...
04/08/2017 ∙ by Dan Xu, et al. ∙ 0 ∙ share

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Multi-Scale Continuous CRFs as Sequential Deep Networks for Monocular Depth Estimation

This paper addresses the problem of depth estimation from a single still...
04/07/2017 ∙ by Dan Xu, et al. ∙ 0 ∙ share

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Multi-Context Attention for Human Pose Estimation

In this paper, we propose to incorporate convolutional neural networks w...
02/24/2017 ∙ by Xiao Chu, et al. ∙ 0 ∙ share

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ViP-CNN: Visual Phrase Guided Convolutional Neural Network

As the intermediate level task connecting image captioning and object de...
02/23/2017 ∙ by Yikang Li, et al. ∙ 0 ∙ share

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Learning Chained Deep Features and Classifiers for Cascade in Object Detection

Cascade is a widely used approach that rejects obvious negative samples ...
02/23/2017 ∙ by Wanli Ouyang, et al. ∙ 0 ∙ share

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Object Detection in Videos with Tubelet Proposal Networks

Object detection in videos has drawn increasing attention recently with ...
02/21/2017 ∙ by Kai Kang, et al. ∙ 0 ∙ share

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CRF-CNN: Modeling Structured Information in Human Pose Estimation

Deep convolutional neural networks (CNN) have achieved great success. On...
11/02/2016 ∙ by Xiao Chu, et al. ∙ 0 ∙ share

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Crafting GBD-Net for Object Detection

The visual cues from multiple support regions of different sizes and res...
10/08/2016 ∙ by Xingyu Zeng, et al. ∙ 0 ∙ share

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Learning Deep Feature Representations with Domain Guided Dropout for Person Re-identification

Learning generic and robust feature representations with data from multi...
04/26/2016 ∙ by Tong Xiao, et al. ∙ 0 ∙ share

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Object Detection from Video Tubelets with Convolutional Neural Networks

Deep Convolution Neural Networks (CNNs) have shown impressive performanc...
04/14/2016 ∙ by Kai Kang, et al. ∙ 0 ∙ share

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T-CNN: Tubelets with Convolutional Neural Networks for Object Detection from Videos

The state-of-the-art performance for object detection has been significa...
04/09/2016 ∙ by Kai Kang, et al. ∙ 0 ∙ share

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Multi-Bias Non-linear Activation in Deep Neural Networks

As a widely used non-linear activation, Rectified Linear Unit (ReLU) sep...
04/03/2016 ∙ by Hongyang Li, et al. ∙ 0 ∙ share

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Structured Feature Learning for Pose Estimation

In this paper, we propose a structured feature learning framework to rea...
03/30/2016 ∙ by Xiao Chu, et al. ∙ 0 ∙ share

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Factors in Finetuning Deep Model for object detection

Finetuning from a pretrained deep model is found to yield state-of-the-a...
01/20/2016 ∙ by Wanli Ouyang, et al. ∙ 0 ∙ share

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Window-Object Relationship Guided Representation Learning for Generic Object Detections

In existing works that learn representation for object detection, the re...
12/09/2015 ∙ by Xingyu Zeng, et al. ∙ 0 ∙ share

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DeepID-Net: Deformable Deep Convolutional Neural Networks for Object Detection

In this paper, we propose deformable deep convolutional neural networks ...
12/17/2014 ∙ by Wanli Ouyang, et al. ∙ 0 ∙ share

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Person Re-identification by Saliency Learning

Human eyes can recognize person identities based on small salient region...
12/05/2014 ∙ by Rui Zhao, et al. ∙ 0 ∙ share

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DeepID-Net: multi-stage and deformable deep convolutional neural networks for object detection

In this paper, we propose multi-stage and deformable deep convolutional ...
09/11/2014 ∙ by Wanli Ouyang, et al. ∙ 0 ∙ share

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Learning Deep Structured Multi-Scale Features using Attention-Gated CRFs for Contour Prediction

Recent works have shown that exploiting multi-scale representations deep...
01/01/2018 ∙ by Dan Xu, et al. ∙ 0 ∙ share

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Style Aggregated Network for Facial Landmark Detection

Recent advances in facial landmark detection achieve success by learning...
03/12/2018 ∙ by Xuanyi Dong, et al. ∙ 0 ∙ share

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Monocular Depth Estimation using Multi-Scale Continuous CRFs as Sequential Deep Networks

Depth cues have been proved very useful in various computer vision and r...
03/01/2018 ∙ by Dan Xu, et al. ∙ 0 ∙ share

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Wanli Ouyang

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