Wanli Ouyang

is this you? claim profile

∙ 2 followers
The University of Sydney ∙ The Chinese University of Hong Kong

Associate Professor at the University of Sydney

AutoSampling: Search for Effective Data Sampling Schedules

Data sampling acts as a pivotal role in training deep learning models. H...
05/28/2021 ∙ by Ming Sun, et al. ∙ 0 ∙ share

read it
ViPNAS: Efficient Video Pose Estimation via Neural Architecture Search

Human pose estimation has achieved significant progress in recent years....
05/21/2021 ∙ by Lumin Xu, et al. ∙ 3 ∙ share

read it
Layerwise Optimization by Gradient Decomposition for Continual Learning

Deep neural networks achieve state-of-the-art and sometimes super-human ...
05/17/2021 ∙ by Shixiang Tang, et al. ∙ 0 ∙ share

read it
3D Human Pose and Shape Regression with Pyramidal Mesh Alignment Feedback Loop

Regression-based methods have recently shown promising results in recons...
03/30/2021 ∙ by Hongwen Zhang, et al. ∙ 3 ∙ share

read it
Delving into Localization Errors for Monocular 3D Object Detection

Estimating 3D bounding boxes from monocular images is an essential compo...
03/30/2021 ∙ by Xinzhu Ma, et al. ∙ 21 ∙ share

read it
Real-Time Visual Object Tracking via Few-Shot Learning

Visual Object Tracking (VOT) can be seen as an extended task of Few-Shot...
03/18/2021 ∙ by Jinghao Zhou, et al. ∙ 0 ∙ share

read it
Higher Performance Visual Tracking with Dual-Modal Localization

Visual Object Tracking (VOT) has synchronous needs for both robustness a...
03/18/2021 ∙ by Jinghao Zhou, et al. ∙ 0 ∙ share

read it
Probabilistic Graph Attention Network with Conditional Kernels for Pixel-Wise Prediction

Multi-scale representations deeply learned via convolutional neural netw...
01/08/2021 ∙ by Dan Xu, et al. ∙ 17 ∙ share

read it
Inception Convolution with Efficient Dilation Search

Dilation convolution is a critical mutant of standard convolution neural...
12/25/2020 ∙ by Jie Liu, et al. ∙ 0 ∙ share

read it
DETR for Pedestrian Detection

Pedestrian detection in crowd scenes poses a challenging problem due to ...
12/12/2020 ∙ by Matthieu Lin, et al. ∙ 0 ∙ share

read it
Full Matching on Low Resolution for Disparity Estimation

A Multistage Full Matching disparity estimation scheme (MFM) is proposed...
12/10/2020 ∙ by Hong Zhang, et al. ∙ 0 ∙ share

read it
Direct Depth Learning Network for Stereo Matching

Being a crucial task of autonomous driving, Stereo matching has made gre...
12/10/2020 ∙ by Hong Zhang, et al. ∙ 3 ∙ share

read it
Temporal-Channel Transformer for 3D Lidar-Based Video Object Detection in Autonomous Driving

The strong demand of autonomous driving in the industry has lead to stro...
11/27/2020 ∙ by Zhenxun Yuan, et al. ∙ 12 ∙ share

read it
Evolving Search Space for Neural Architecture Search

The automation of neural architecture design has been a coveted alternat...
11/22/2020 ∙ by Yuanzheng Ci, et al. ∙ 0 ∙ share

read it
Adaptive Gradient Method with Resilience and Momentum

Several variants of stochastic gradient descent (SGD) have been proposed...
10/21/2020 ∙ by Jie Liu, et al. ∙ 0 ∙ share

read it
Once Quantized for All: Progressively Searching for Quantized Efficient Models

Automatic search of Quantized Neural Networks has attracted a lot of att...
10/09/2020 ∙ by Mingzhu Shen, et al. ∙ 0 ∙ share

read it
Improving Auto-Augment via Augmentation-Wise Weight Sharing

The recent progress on automatically searching augmentation policies has...
09/30/2020 ∙ by Keyu Tian, et al. ∙ 6 ∙ share

read it
SAMOT: Switcher-Aware Multi-Object Tracking and Still Another MOT Measure

Multi-Object Tracking (MOT) is a popular topic in computer vision. Howev...
09/22/2020 ∙ by Weitao Feng, et al. ∙ 5 ∙ share

read it
Improving Deep Video Compression by Resolution-adaptive Flow Coding

In the learning based video compression approaches, it is an essential i...
09/13/2020 ∙ by Zhihao Hu, et al. ∙ 3 ∙ share

read it
Exploring the Hierarchy in Relation Labels for Scene Graph Generation

By assigning each relationship a single label, current approaches formul...
09/12/2020 ∙ by Yi Zhou, et al. ∙ 11 ∙ share

read it
BriNet: Towards Bridging the Intra-class and Inter-class Gaps in One-Shot Segmentation

Few-shot segmentation focuses on the generalization of models to segment...
08/14/2020 ∙ by Xianghui Yang, et al. ∙ 0 ∙ share

read it
Rethinking Pseudo-LiDAR Representation

The recently proposed pseudo-LiDAR based 3D detectors greatly improve th...
08/11/2020 ∙ by Xinzhu Ma, et al. ∙ 3 ∙ share

read it
Differentiable Hierarchical Graph Grouping for Multi-Person Pose Estimation

Multi-person pose estimation is challenging because it localizes body ke...
07/23/2020 ∙ by Sheng Jin, et al. ∙ 0 ∙ share

read it
Whole-Body Human Pose Estimation in the Wild

This paper investigates the task of 2D human whole-body pose estimation,...
07/23/2020 ∙ by Sheng Jin, et al. ∙ 31 ∙ share

read it
3D Human Mesh Regression with Dense Correspondence

Estimating 3D mesh of the human body from a single 2D image is an import...
06/10/2020 ∙ by Wang Zeng, et al. ∙ 0 ∙ share

read it
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

read it
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

read it
Cheaper Pre-training Lunch: An Efficient Paradigm for Object Detection

In this paper, we propose a general and efficient pre-training paradigm,...
04/25/2020 ∙ by Dongzhan Zhou, et al. ∙ 1 ∙ share

read it
Location-Aware Feature Selection for Scene Text Detection

Direct regression-based natural scene text detection methods have alread...
04/23/2020 ∙ by Zengyuan Guo, et al. ∙ 3 ∙ share

read it
Disentangling and Unifying Graph Convolutions for Skeleton-Based Action Recognition

Spatial-temporal graphs have been widely used by skeleton-based action r...
03/31/2020 ∙ by Ziyu Liu, et al. ∙ 4 ∙ share

read it
Content Adaptive and Error Propagation Aware Deep Video Compression

Recently, learning based video compression methods attract increasing at...
03/25/2020 ∙ by Guo Lu, et al. ∙ 0 ∙ share

read it
Channel Pruning Guided by Classification Loss and Feature Importance

In this work, we propose a new layer-by-layer channel pruning method cal...
03/15/2020 ∙ by Jinyang Guo, et al. ∙ 0 ∙ share

read it
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

read it
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. ∙ 12 ∙ share

read it
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

read it
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

read it
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

read it
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

read it
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

read it
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

read it
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

read it
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

read it
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

read it
Improving Description-based Person Re-identification by Multi-granularity Image-text Alignments

Description-based person re-identification (Re-id) is an important task ...
06/23/2019 ∙ by Kai Niu, et al. ∙ 0 ∙ share

read it
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

read it
Improving Action Localization by Progressive Cross-stream Cooperation

Spatio-temporal action localization consists of three levels of tasks: s...
05/28/2019 ∙ by Rui Su, et al. ∙ 0 ∙ share

read it
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

read it
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

read it
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

read it
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

read it

Wanli Ouyang

Featured Co-authors