Wanli Ouyang

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The University of Sydney ∙ The Chinese University of Hong Kong

Associate Professor at the University of Sydney

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

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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. ∙ 0 ∙ share

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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

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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

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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

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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

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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

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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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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

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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

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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

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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

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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

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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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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

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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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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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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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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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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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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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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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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

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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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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

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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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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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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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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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Libra R-CNN: Towards Balanced Learning for Object Detection

Compared with model architectures, the training process, which is also c...
04/04/2019 ∙ by Jiangmiao Pang, et al. ∙ 0 ∙ share

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Feature Intertwiner for Object Detection

A well-trained model should classify objects with a unanimous score for ...
03/28/2019 ∙ by Hongyang Li, et al. ∙ 0 ∙ share

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Accurate Monocular 3D Object Detection via Color-Embedded 3D Reconstruction for Autonomous Driving

In this paper, we propose a monocular 3D object detection framework in t...
03/27/2019 ∙ by Xinzhu Ma, et al. ∙ 0 ∙ share

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GS3D: An Efficient 3D Object Detection Framework for Autonomous Driving

We present an efficient 3D object detection framework based on a single ...
03/26/2019 ∙ by Buyu Li, et al. ∙ 0 ∙ share

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Multi-person Articulated Tracking with Spatial and Temporal Embeddings

We propose a unified framework for multi-person pose estimation and trac...
03/21/2019 ∙ by Sheng Jin, et al. ∙ 0 ∙ share

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SR-LSTM: State Refinement for LSTM towards Pedestrian Trajectory Prediction

In crowd scenarios, reliable trajectory prediction of pedestrians requir...
03/07/2019 ∙ by Pu Zhang, et al. ∙ 0 ∙ 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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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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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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FishNet: A Versatile Backbone for Image, Region, and Pixel Level Prediction

The basic principles in designing convolutional neural network (CNN) str...
01/11/2019 ∙ by Shuyang Sun, et al. ∙ 0 ∙ share

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DVC: An End-to-end Deep Video Compression Framework

Conventional video compression approaches use the predictive coding arch...
11/30/2018 ∙ by Guo Lu, et al. ∙ 0 ∙ share

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Deep Learning for Generic Object Detection: A Survey

Generic object detection, aiming at locating object instances from a lar...
09/06/2018 ∙ by Li Liu, et al. ∙ 0 ∙ share

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Neural Network Encapsulation

A capsule is a collection of neurons which represents different variants...
08/11/2018 ∙ by Hongyang Li, et al. ∙ 0 ∙ share

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Person Search via A Mask-Guided Two-Stream CNN Model

In this work, we tackle the problem of person search, which is a challen...
07/21/2018 ∙ by Di Chen, et al. ∙ 0 ∙ share

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Crowd Counting using Deep Recurrent Spatial-Aware Network

Crowd counting from unconstrained scene images is a crucial task in many...
07/02/2018 ∙ by Lingbo Liu, et al. ∙ 0 ∙ share

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Factorizable Net: An Efficient Subgraph-based Framework for Scene Graph Generation

Generating scene graph to describe all the relations inside an image gai...
06/29/2018 ∙ by Yikang Li, et al. ∙ 0 ∙ 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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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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Wanli Ouyang

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